2015 mlb bible - killersports.com2015 mlb bible • 5sdql stands for sports data query language. it...

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Over 200 Perfect Team and Starter Trends

Key MLB SystemSDQL Systems and Notes

and Much, Much More

Featuringthe SDQL

2015MLBBIBLE

2 • KillerSports.com

The 2015 KillerSports.com

MLB BIBLE

Daily MLB Newsletter Available FREE!!!

Sign up at www.killersports.com

SportsBook Breakers and Killersports.com are teaming up again to produce the 2015 MLB Daily Information Sheet. This two-page sheet is your first place to start each morning for your baseball gambling information. The sheet will include a straight up, over/under, and starter trends of the day (with the valuable SDQL text included), a daily schedule chart, and other valuable handicapping information for that day’s games. For an

example of the daily newsletter, see pg. 32.

You can get all this for the low, low price of FREE! That is not a misprint as SportsBook Breakers and Killersports.com have collaborated to provide this invaluable information for you free of charge. Why pay hundreds of dollars a year on other sites for newsletters that don’t provide the hard hitting and relevant

information that Killersports.com can get you every single day?

When you sign up at Killersports.com (or go to Edit Profile and Subscriptions for those already members) all you have to do is click the “E-mail me the free KillerSports.com Newsletters” to get this newsletter delivered

free to your inbox every morning.

Introduction ........................................................................................................................................... 4SDQL Overview ...................................................................................................................................... 5Sportsbook Breakers’ MLB System Study: Strikeouts — A Starter’s Best Friend ...............................6-7Pick Sixty Sports Notes: Run the Bases ...............................................................................................7-8SBB’s Play On Team Trend ..................................................................................................................... 9SBB’s Play Against Team Trend ............................................................................................................ 10SBB’s Top Starter Trend........................................................................................................................ 11SBB’s OU Team Trend........................................................................................................................... 12Killersports.com MLB Trends Set Introduction .................................................................................... 13Complete Team-By-Team Trends ....................................................................................................14-32Killersports.com Bonus SU Trends ....................................................................................................... 19Killersports.com Bonus Starter Trends ................................................................................................ 25Killersports.com Bonus OU Trends ...................................................................................................... 31Sample MLB Newsletter ...................................................................................................................... 32

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2015 MLB Bible • 3

SportsBook Breakers is coming off finishing as the #1 handicapper on Vegas Insider during the 2014 NFL season and is poised to translate that success to the MLB season. SBB has added to its database for 2015 including several new

long-term winning systems

We are excited to announce that SportsBook Breakers will continue the best handicapping deal in the business this season. You can get a seven-day package of all SportsBook Breakers MLB picks for just $50 in web debit value.

That’s just $7 a day!!! You can also purchase SBB’s winning plays daily in packages or guaranteed to win.

All picks and packages are available at www.killercappers.com.

TRENDS MARTKillerSports.com is excited to announce the opening of the first peer-to-peer trend market. Here you can buy profitable trends and systems from SDQL masters and pros, several of whom use these SDQL-based trends and

systems as a key component to successful betting and handicapping.

Visit the Trends Mart at www.killersports.com/trend_mart to get started

To learn how to purchase and access trends and systems from the Trends Mart, watch this instructional videosdqlconsultancy.com/2015/02/08/how-to-purchase-active-trend-sets-at-the-sdql-trend-mart/

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The 2015 MLB Handicapping Bible contains information that any bettor can use to become a confident, informed and successful gambler while tackling the 2015 season. There are trend sets, isolated trends and perhaps most importantly, articles on interesting betting subjects. This information alone might not make you a great bettor, but the content of this book is a great starting point for a successful 2015 season.

The main trend set produced by SportsBook Breakers includes six trends in past performance for each team or its starting pitcher. There are four play-on or play-against W-L trends for each team (TEAM001-004), one over/under trend for each team (TEAM005) and one starter-based trend for each club (STR001-032).

ALL of the trends come with the Sports Data Query Language (SDQL) that generates the trend. With the SDQL text, you can verify the accuracy of the trend ,but more importantly you can see how the trend is performing anytime during the season. To check any trend, type (or paste) the SDQL text into the query text box at:

http://killersports.com/mlb.py/query

and then simply click on the query button. The results should appear in a second or two.

If you have any questions about the SDQL, post them at the Google Group for the SDQL at:

http://groups.google.com/group/SportsDataBase

The group has many expert members, including the genius behind the Sports Data Query Language, Joe Meyer. Feel free to post any questions/comments about this publication there as well.

For the self-starters, check out the one-page basics on how to use the SDQL on pg. 5. If you are looking for more information, check out this baseball specific manual on the SDQL:

http://killersports.com/Download/MLB/query_manual.pdf

If you are looking for a more concise guide to the subtle complexities of SDQL covering all sports, visit the guide at:

http://www.sdql.com/intro.html

We have no doubt that you will quickly become hooked on the SDQL at Killersports.com and the quality

information that SportsBook Breakers and all the quality handicappers at Killercappers.com can provide with it.

There are also a couple of great ways to track the trends found in this book. The first is to save these trends (or ones you discover on your own) at Killersports.com. To do this you need to be logged in as a member. After performing a query (from the NBA or the MLB or the NFL query page), you will see a save to personal trends hyper link above the query text input box.

Clicking on this save to personal trends link will bring you to a page where you can type in a description of the trend. Along with a description, many like to type in the record of the trend here in order to track the performance throughout the season.

After entering a description clicking on the SAVE button saves your trend. When one of your trends is active, you will see a hyperlink to the game listing and your descriptive text on the My Trends page.

Currently, you are allowed two free trends, after which each trend costs two dollars per season.

For the trends found in this book, an even easier option exists... LET US TELL YOU! Each day, SportsBook Breakers will publish the KillerSports.com 2015 MLB Newsletter. This two-page sheet will be your first stop each morning for up-to-the-minute baseball handicapping information.

When you sign up at Killersports.com (or go to Edit Profile and Subscriptions for those already members) all you have to do is select “E-mail me the free KillerSports.com Newsletters” to get this newsletter delivered every morning.

New in 2015, you can also purchase trends and systems directly from SDQL experts at the Killersports.com Trends Mart. SDQL Masters and Pros will have active trends and systems available for purchase in daily and weekly packages to give you an inside edge on the MLB information you need to know.


We would like to thank MTi Sports, SportsBook Breakers and Pick Sixty Sports for their contributions to this book and hope you enjoy the content and find it a useful start to the baseball season. Join us all season long and let’s make this a successful 2015 campaign.

INTRODUCTION





http://www.sdql.com/intro.html

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SDQL stands for Sports Data Query Language. It is a lan-guage that allows the investigation of past sports results over the internet using your home computer. It is easy. It is fast and it is free. If you can perform a search on Google, you can query the past results of professional sports games.

Like the Google search, there is a text query box in which you enter what you would like to search. Unlike Google, the search has to be specific and you must use the Sports Data Query Language. The advantage of the SDQL is that you get exactly what you ask for.

For example, if you want to see all the no-hitters in major league baseball since 2004 simply enter:

hits=0 query

into the query text box and then click on the query button. It is as simple as that! There are SDQL query text boxes at many internet sites. The most developed is currently at:


To see all the MLB games in which a team scored at least 10 runs without hitting a home run, use:

HR=0 and runs>=10 query

That’s it!

The SDQL allows access to billions of situations that are of interest to sports historians, the sports media, fantasy league participants and serious sports bettors.

An ability to quickly and efficiently interrogate histori-cal data in Major League Baseball (as well as the NBA and NFL) will provide the SDQL user a terrific advantage over those that just pore over box scores and read other people’s interpretations of the results.

Perhaps the best way to grasp the SDQL is to simply try the hundreds of examples in this book. That said, there are only a couple of key ideas that will get you well on your way to becoming an SDQL master.

The first is that a query consists on a number of condi-tions separated by the word “and.” The second is grasping the difference between the team and the opponent. In sports, there are two combatants. To distinguish between them, SDQL calls one of these the team and the other the opponent. This allows access to results based on both the performance of the team and the performance of

their opponent. For example, we can see how a team performs when they score at least five runs and we can see how a team performs when their opponent scores at least five runs.

For example, to see how the Giants perform in games in which they scored at least five runs, use:

team = Giants and runs >= 5 query

When this query is run, the computer responds with a records summary and a game listing of all the games since 2004 in which the Giants scored at least five runs.

Since there is no game reference on the parameter ‘runs’ it refers to the team and the game in question. To see how the Giants perform in games in which their opponent scored at least five runs, use:

team = Giants and o:runs >= 5 query

The o: prefix on the “runs” points the runs parameter to the opponent.

To see how the Giants perform in games AFTER they scored at least five runs, use:

team = Giants and p:runs >= 5 query

Here, the p: prefix on the “runs” points the runs param-eter to the team’s previous game.

Each one of these queries has two SDQL phrases. The first defines the team and the second gives a condition. There is no limit to the number of SDQL phrases that can be strung together with the word “and.”

That’s it. This is the basic structure of the SDQL. This structure will allow the thorough interrogation and in-vestigation of historical sports data. Understanding this structure is the key to understanding the SDQL. Once you have a grasp of this structure, you will be able to perform your own investigations.

Start by trying the many examples in this book. If you have any questions about the SDQL, address them to the sportsdatabase.com discussion group at:


This group is monitored by numerous SDQL masters who will be able to answer all your questions.

SDQL INTRODUCTION




Strikeouts — A Starter’s Best FriendAs analysis of pitching performance has advanced the

past decade, analytics have honed in on what really makes a pitcher successful. The biggest take away from this has been where the bulk of a pitcher’s success is determined is in the at bat results they control the most — strikeouts and walks. Statistics such as Fielding Independent Pitching give a good representation of that. However, we have not seen considerable analysis on the importance of these critical categories on a game-over-game basis. It would stand to reason that a high strikeout rate one game would be a positive indicator of success in the next start, but is that actually the case or are strikeouts possibly overvalued in a short-term situation?

Using data spanning back to the beginning of the MLB database at Killersports.com in 2004, running a simple SDQL query produces a very interesting — and powerful — result. Using the SDQL text: s:starter strike outs>=9 or s:SSO>=9, we see that teams have won 56.1% of games when their starter struck out at least nine batters in his last outing, going 1692-1325. It is no surprise that these starters were favored more often than not in these games, with an average line of -130.6, but even factoring that in, playing on starters who struck out nine batters or more last game has resulted in a profit of +$6,004 for the $100 player or a +1.4% return on investment. Playing against

these starters has produced a loss of $21,602 or a -6.4% return on investment.

SDQL Note: The use of SSO in the SDQL text is a shortcut for starter strike outs, one of many available SDQL shortcuts to produce a cleaner SDQL text. The prefix s: is baseball-only and represents a starter’s last outing.

This sample size of just over 3,000 games is extremely large for a profitable system and creates the possibility of over 300 play on situations per season.

Using the open-ended SDQL text s:SSO we can create the chart below to further examine what is behind this valuable system.

Previous Starter

Strikeouts

Record Play On $

Play Against $

18 0-1 (-2.00, 0.0%) -$145 +$135

17 1-2 (-1.67, 33.3%) -$220 +$190

16 2-2 (0.25, 50.0%) -$270 +$200

15 8-6 (0.79, 57.1%) -$260 +$140

14 26-15 (1.24, 63.4%) +$555 -$745

13 56-37 (0.94, 60.2%) +$803 -$1,253

12 114-89 (0.86, 56.2%) +$428 -$1,323

11 229-174 (0.51, 56.8%) +$1,150 -$3,317

10 455-372 (0.47, 55.0%) +$339 -$4,562

9 801-627 (0.47, 56.1%) +$3,624 -$11,067

8 1370-1223 (0.33, 52.8%) -$6,782 -$6,940

7 2049-1942 (0.19, 51.3%) -$18,346 -$2,181

6 2920-2810 (0.13, 51.0%) -$18,997 -$10,340

5 3792-3649 (0.12, 51.0%) -$11,710 -$26,671

4 4114-4239 (-0.07, 49.3%) -$33,404 -$9,248

3 3983-3981 (-0.01, 50.0%) -$1,860 -$38,908

2 3068-3448 (-0.29, 47.1%) -$36,854 +$3,932

1 1826-2078 (-0.35, 46.8%) -$18,562 -$1,119

0 702-731 (-0.29, 49.0%) +$1,970 -$9,028

This chart shows exactly what we like to see with this type system. Every strikeout total between 9-14 games has produced a positive $ result and at least a 55% winning percentage. While the results from 15-18 strikeouts have been negative, we do not feel they should necessarily be removed from this system due to a small sample size of just 22 total games of the 3,027 total games in the system. However, an argument could be made that when a starter strikes out at least 15 batters, that it is a point of demarcation in how much attention the outing

If you like extremely valuable, long-term betting systems such as this winner then SportsBook Breakers has the place for you. SportsBook Breakers is a part of the Master section of the brand new Killersports.com

Trends Mart.

Listed as SBB on the Trends Mart, SportsBook Breakers has over 100 55+% long-term MLB systems available

for purchase. These are the same active systems that SBB uses at the core of its handicapping will be

available in daily and weekly packages.

Visit www.killersports.com/trend_mart for more!

MLB SYSTEM STUDY SportsBookBreakers

(Continued pg. 7)



SDQL profiles to watch for during the 2015 MLB season!

Baseball doesn’t get nearly the same level of attention during its off-season as football. Following an exciting playoff run, the sport just sort of wraps up and goes into hibernation until February when the pitchers and catchers start showing up early for spring training. To be fair, odds are stacked against baseball competing in the off months, when NFL and college ball are flourishing. But as the rosters come together and bettors sort through the list of futures, predictions and win totals, the anticipation of that first pitch starts to build and we’re all ready to face another challenging campaign of testing our handicapping skills against the book.

Anyone who tells you that consistently winning at baseball is easy, probably also has a nice ocean front property for sale in South Dakota. That’s the thing about `capping, though, no one ever said it was going to be easy. The net is filled with dazzling tips on how to become a better handicapper and this Annual has hundreds of inspiring SDQL codes that you can apply towards your craft. If I can offer any perspective at all, it’s to be patient, be honest with yourself about tracking wins and losses, and realize that every day is an opportunity to further

your development as a bettor.

Winning begins with a good approach and here are some techniques to ponder through the weeks and months ahead. Good luck this season.

EARLY SEASON SYSTEMThis profile has finished in the positive for seven-

straight years but if we focus on the more recent history (since 2011), we can see a hit rate of 59-percent with our play ON teams winning by more than a half-run per game. One benefit of this system is the average line (-103) and if we break it down by the month, SDQL shows us that May is producing a 60-percent record, slightly better than the April games (57-percent). The part I like about that is that this profile is just a starting point. Regardless of its past success, we wouldn’t want to book a play without further research and the more data we have available from the current season, the better. Game counts per month are nearly identical and the average line is off by just a cent.

SDQL Text: -120 <= t:line <= 120 and p:margin >= 3 and SG = SGS and season >= 2011 and month < 6

Translation: In a series finale during the first two months of the season, play ON all teams off a win by three or more runs when the line is within 20 cents of ‘Pick em’

(Continued pg. 8)

RUN THE BASES Jarvis Simes – Pick Sixty Sports

SPORTSBOOK BREAKERS

guided you to huge profits during football season, finishing as the #1 handicapper on Vegas Insider, and is in the midst of a solid NBA season. Join SportsBook Breakers this MLB season to keep the profits rolling!

We are excited to announce that SportsBook Breakers will continue the best handicapping deal in the

business this season. You can get a 7-day package of all SportsBook Breakers pick for just $50 in web debit

value. That’s just $7 a day!!! You can also get SBB’s season package for even bigger savings.

Available exclusively at www.killercappers.com

receives, pushing up the line in a starter’s last game. This is something that is worth further monitoring.

Also, this chart gives a great look at the converse — how starters do after a low strikeout game. We see that it is a much better idea to play against a starter with just one or two strikeouts in his last start, but that due to the number of active instances, this alone is not a particularly profitable play on, though it could become so by adding one or two relevant parameters.

Adding parameters to our base system of nine or more starter strikeouts is also worth looking at. For instance, this system has been considerably more profitable with a 5.5% ROI when the starter went fewer than seven innings in his last start.

This is a system that is active nearly every day after the first five games of the season, with a system-high 374 actives in 2014. We would not suggest you bet all 374 of these games, but to strongly factor this in as a positive for a team when evaluating games, just as you would any of the over 100 must-have SportsBook Breakers systems available at the Killersports.com Trend Mart. You will also see this system in several plays of SportsBook Breakers this coming season.

www.killercappers.com


(131-93 SU for +$3,723 – a 15.6 ROI)

Following this system last year netted a one hundred dollar bettor a profit of +$799, a 13-percent return on investment (ROI). Another thing to keep an eye on, particularly in May, is the Over/Under. Betting the total to stay under last season was good for +$880 in the month of May alone.

- With April being a better month in general for hitters (highest “Over” percentage of all months since 2004), it’s a good strategy to let the totals fatten themselves up a bit and then circle the right spot to nail down a winning play on the “Under”.

- Of note, the under in this profile made good money consistently from May through August (+$2,025; 17-percent ROI) and July (61-percent) has been a profitable month for six consecutive years (+$2,005; 14-percent ROI).

DOG PATROL Learning how to successfully avoid the juice with

moneyline betting is not only financially rewarding, it’s sort of like a psychological “pat on the back.” It takes a certain skill and you just have to remember – the line is not always a pure indicator of who the book thinks is going to win the game. It’s only a marker of where the oddsmaker projects the split to come from the betting

market. Finding value on the right MLB teams at plus-money can start with the right system and these SDQL codes have produced proven winners.

1. April Dogs off a Close Loss

Over reactions to a loss run rampant in the early season and dogs off a narrow setback have a .495 win-percentage the past nine years with an average get back of +132. This simple profile has produced profit in six of nine years for a total of +$6,465 (14-percent ROI).

SDQL Text: D and p:margin = -1 and month = 4 and season >= 2006

2. Leave it to the Pen

This is a little more complex but just start by looking for road dogs up to +150 on normal rest (0-1 days).

SDQL Text: AD and tS(o:hits-starter hits + o:walks - starter walks) / tS(9-starter innings pitched) <= 1.15 and line <= 150 and month < 9 and rest < 2

When these teams have a reliable pen with a low WHIP, they’ve produced a profit in 10 of the past 11 seasons for an average profit of more than $1,000 per year. The past five years have been ever better (+$1,521 per season) and the average line is +122. Note the ‘month’ parameter. Perhaps it’s a combination of cooling weather and the fact teams have been stretched thin, but playing this angle beyond August is not worth the risk.

Co-founder of Pick Sixty Sports, Jarvis Simes covers sports betting year round with a focus

on baseball, football and hockey. Winner of the 2012 EveryEdge MLB Handicapper’s Challenge,

follow @JarvisSimes on Twitter for SDQL analysis and free picks!

You can also find gambling information from Jarvis at

picksixtysports.com

check out the new Pick Sixty Sports Facebook page at

www.facebook.com/PickSixtySports

RUN THE BASES (CONT) Jarvis Simes – Pick Sixty Sports

https://twitter.com/JarvisSimes

http://picksixtysports.com/

https://www.facebook.com/PickSixtySports


The Indians are 17-0 (+2,114) since 2006 when they used 8-9 pitchers last game and their starter worked no more than seven innings.

SU: 17-0 (3.22, 100.0%) avg line: -109.1 / -103.7 RL: 15-2 (3.09, 88.2%) avg line: -100.5 / -111.3

Runs Hits Errors Walks Strike Outs Grounders Fly Balls Team left on baseTeam 6.0 10.6 0.4 3.7 7.0 11.4 5.9 6.7Opp 2.8 8.1 0.7 2.9 7.9 10.4 5.9 7.6\

Date Site Team Starter Opp Starter Score SUm W/L OUm O/U Hits Errors BL Line Total Inn.Sep 15, 2006 home Indians Fausto Carmona - R Twins Johan Santana - L 5-4 1 W 0.5 O 8-7 1-1 3-0 220 8.5 10+May 03, 2007 home Indians Cliff Lee - L Blue Jays Dustin McGowan - R 6-5 1 W 1.0 O 10-9 1-2 1-4 -160 10.0 9Sep 15, 2008 home Indians Scott Lewis - L Twins Kevin Slowey - R 3-1 2 W -5.0 U 10-5 0-0 3-0 105 9.0 9Sep 17, 2008 home Indians Cliff Lee - L Twins Scott Baker - R 6-4 2 W 2.0 O 9-14 1-2 2-2 -165 8.0 9Sep 10, 2010 home Indians Fausto Carmona - R Twins Carl Pavano - R 2-0 2 W -6.5 U 6-3 0-0 2-0 140 8.5 9Aug 10, 2011 home Indians Ubaldo Jimenez - R Tigers Rick Porcello - R 10-3 7 W 4.5 O 18-6 0-1 7-0 -140 8.5 9Aug 17, 2011 away Indians Fausto Carmona - R White Sox Mark Buehrle - L 4-1 3 W -3.0 U 12-4 0-0 3-0 140 8.0 9Apr 15, 2012 away Indians Ubaldo Jimenez - R Royals Luis Mendoza - R 13-7 6 W 11.5 O 15-13 0-1 8-3 -112 8.5 9Sep 30, 2012 home Indians Zach McAllister - R Royals Luke Hochevar - R 15-3 12 W 9.5 O 19-7 0-1 12-0 -140 8.5 9Aug 21, 2013 away Indians Justin Masterson - R Angels Jerome Williams - R 3-1 2 W -4.0 U 8-7 0-0 2-0 -150 8.0 9Sep 03, 2013 home Indians Ubaldo Jimenez - R Orioles Chris Tillman - R 4-3 1 W -1.0 U 5-8 1-0 4-0 102 8.0 9Sep 14, 2013 away Indians Ubaldo Jimenez - R White Sox Andre Rienzo - R 8-1 7 W 1.0 O 11-9 0-0 8-0 -150 8.0 9Sep 24, 2013 home Indians Ubaldo Jimenez - R White Sox Hector Santiago - L 5-4 1 W 1.5 O 9-9 0-1 1-1 -220 7.5 9May 22, 2014 away Indians Justin Masterson - R Orioles Wei Yin Chen - L 8-7 1 W 6.5 O 14-13 2-0 3-2 122 8.5 10+Aug 20, 2014 away Indians TJ House - L Twins Ricky Nolasco - R 5-0 5 W -3.5 U 11-6 1-0 5-0 -118 8.5 9Aug 31, 2014 away Indians TJ House - L Royals Danny Duffy - L 2-2 0 P -4.0 U 9-7 1-2 1-1 155 8.0 9Sep 05, 2014 home Indians TJ House - L White Sox Chris Sale - L 2-1 1 W -4.0 U 7-9 0-1 1-0 130 7.0 10+Sep 20, 2014 away Indians TJ House - L Twins Trevor May - R 7-3 4 W 1.5 O 10-10 0-0 5-0 -122 8.5 9

SDQL Textteam = Indians and season>=2006 and 9>=p:PU >= 8 and p:SIP<=7

Trend AnalysisIt would seem logical that using a ton of

pitchers in one game would have negative effects for a team the next game. Thankfully using the Killersports.com database, we can easily see that is not the case. Teams that used 8-9 pitchers last game have won 53.7% of the time in database history and are +4.1% playing on. One team has been consistently outstanding in this spot.

The Indians are 17-0 (+2,114) since 2006 when they used 8-9 pitchers last game and their starter worked no more than seven innings.

It is no great surprise that Cleveland is a team being isolated when it comes to bullpen appearances. Their manager, Terry

Francona, is not shy about heavily using relievers and Cleveland has set the major league record for bullpen appearances in a season each of the past two years.

Over half of the active instances in this trend have come the past two years, as Cleveland has used 8-9 pitchers in a game 10 times over that stretch, tied for the major league high.

With Cleveland’s heavy bullpen usage, it makes sense that they would be used to it and better prepared to handle this situation. The only other parameter added is “p:SIP<7” to show games where the starter did not go 7+ innings, which would likely mean the game went deep into extra innings to use that many pitchers.

This is a starter trend you definitely want to consider saving on www.killersports.com. If you are interested in saving this or any trend, check out the introduction to this Bible for more information.

PLAY ON TEAM TREND SportsBookBreakers

Query Output File


The Diamondbacks are 0-33 (+$3,300) since August 2004 as a +200 or greater underdog if they scored last game and have not won six or more straight games.

SU: 0-33 (-4.03, 0.0%) avg line: 229.5 / -275.9 RL: 3-10 (-2.73, 23.1%) avg line: 106.8 / -118.5

Runs Hits Errors Walks Strike Outs Grounders Fly Balls Team left on baseTeam 2.8 7.8 1.0 2.2 7.8 9.6 7.9 6.2Opp 6.8 10.5 0.3 4.3 5.8 10.3 8.6 7.8

Date Site Team Starter Opp Starter Score SUm W/L OUm O/U Hits Errors BL Line Total Inn.Aug 01, 2004 away Diamondbacks Edgar G Gonzalez - R Rockies Aaron Cook - R 2-10 -8 L -1.5 U 7-15 1-1 0-9 200 13.5 9Aug 05, 2004 home Diamondbacks Lance Cormier - R Marlins Carl Pavano - R 5-11 -6 L 7.0 O 9-14 0-0 2-6 200 9.0 9Aug 07, 2004 home Diamondbacks Edgar G Gonzalez - R Braves Paul Byrd - R 2-6 -4 L -2.0 U 7-10 0-1 1-4 200 10.0 9Aug 08, 2004 home Diamondbacks Casey Fossum - L Braves Russ Ortiz - R 4-11 -7 L 6.0 O 9-15 2-1 0-10 230 9.0 9Aug 13, 2004 away Diamondbacks Casey Fossum - L Mets Kris Benson - R 6-10 -4 L 7.5 O 8-11 0-1 0-8 200 8.5 9Aug 14, 2004 away Diamondbacks Edgar G Gonzalez - R Mets Al Leiter - L 3-4 -1 L -1.0 U 10-8 2-0 1-2 260 8.0 9Aug 24, 2004 away Diamondbacks Edgar G Gonzalez - R Pirates Oliver Perez - L 1-3 -2 L -4.5 U 5-8 1-0 0-2 260 8.5 9Sep 02, 2004 home Diamondbacks Casey Fossum - L Dodgers Odalis Perez - L 4-8 -4 L 2.5 O 11-8 4-0 2-4 200 9.5 9Sep 03, 2004 away Diamondbacks Edgar G Gonzalez - R Giants Brad Hennessey - R 7-18 -11 L 15.5 O 15-18 3-1 3-13 220 9.5 9Sep 04, 2004 away Diamondbacks Steve Randolph - L Giants Noah Lowry - L 7-9 -2 L 6.0 O 13-11 1-0 6-2 240 10.0 9Sep 08, 2004 away Diamondbacks Casey Fossum - L Dodgers Odalis Perez - L 5-6 -1 L 3.5 O 7-12 0-0 3-1 320 7.5 9Sep 09, 2004 away Diamondbacks Edgar G Gonzalez - R Dodgers Jose Lima - R 3-5 -2 L -0.5 U 6-10 1-0 2-3 280 8.5 9Sep 11, 2004 home Diamondbacks Steve Randolph - L Giants Noah Lowry - L 3-5 -2 L -2.5 U 7-9 0-0 0-5 210 10.5 9Sep 17, 2004 away Diamondbacks Brandon Webb - R Cardinals Woody Williams - R 3-4 -1 L -2.0 U 8-8 1-0 0-2 260 9.0 9Sep 18, 2004 away Diamondbacks Casey Fossum - L Cardinals Chris Carpenter - R 0-7 -7 L -2.0 U 6-9 1-0 0-7 300 9.0 9Sep 24, 2004 away Diamondbacks Mike Gosling - L Padres David Wells - L 5-6 -1 L 2.5 O 13-10 2-0 1-4 230 8.5 9Sep 25, 2004 away Diamondbacks Steve Randolph - L Padres Adam Eaton - R 5-6 -1 L 2.5 O 10-8 1-1 0-4 260 8.5 9Sep 26, 2004 away Diamondbacks Steve Sparks - R Padres Jake Peavy - R 1-7 -6 L -0.5 U 6-12 2-0 0-6 290 8.5 9Jun 02, 2005 away Diamondbacks Shawn Estes - L Mets Pedro Martinez - R 1-6 -5 L 0.0 P 7-9 3-1 1-5 200 7.0 9Jul 16, 2005 away Diamondbacks Claudio Vargas - ? Padres Jake Peavy - R 1-4 -3 L -2.5 U 6-5 0-0 1-3 200 7.5 9Jun 14, 2007 away Diamondbacks Doug Davis - L Yankees Andy Pettitte - L 1-7 -6 L -1.5 U 5-12 3-1 0-6 205 9.5 9Aug 27, 2007 away Diamondbacks Livan Hernandez - R Padres Jake Peavy - R 1-3 -2 L -3.0 U 5-7 0-0 1-2 200 7.0 9Sep 30, 2007 away Diamondbacks Yusmeiro Petit - R Rockies Ubaldo Jimenez - R 3-4 -1 L -3.0 U 5-8 1-0 0-3 205 10.0 9Jul 17, 2009 away Diamondbacks Jon Garland - R Cardinals Chris Carpenter - R 1-6 -5 L -1.0 U 8-13 0-1 0-6 210 8.0 9May 26, 2010 away Diamondbacks Rodrigo Lopez - R Rockies Ubaldo Jimenez - R 3-7 -4 L 1.5 O 9-9 0-0 0-7 220 8.5 9Jun 16, 2010 away Diamondbacks Rodrigo Lopez - R Red Sox Jon Lester - L 2-6 -4 L -1.0 U 6-10 0-0 0-4 220 9.0 9Jun 29, 2010 away Diamondbacks Dontrelle Willis - L Cardinals Adam Wainwright - R 0-8 -8 L -0.5 U 6-13 2-0 0-8 270 8.5 9Jul 27, 2010 away Diamondbacks Rodrigo Lopez - R Phillies Cole Hamels - L 5-9 -4 L 5.5 O 8-13 0-1 1-4 200 8.5 9Jul 28, 2010 away Diamondbacks Edwin Jackson - R Phillies Roy Halladay - R 1-7 -6 L 0.0 P 6-12 0-0 0-7 240 8.0 9Sep 11, 2010 away Diamondbacks Rodrigo Lopez - R Rockies Ubaldo Jimenez - R 1-2 -1 L -6.0 U 8-8 0-0 1-1 240 9.0 9Aug 01, 2013 away Diamondbacks Zeke Spruill - R Rangers Yu Darvish - R 1-7 -6 L -0.5 U 8-11 1-0 0-7 200 8.5 9Aug 18, 2014 away Diamondbacks Vidal Nuno - L Nationals Jordan Zimmermann - R 4-5 -1 L 2.0 O 9-8 0-0 1-1 200 7.0 10+Aug 19, 2014 away Diamondbacks Chase Anderson - R Nationals Stephen Strasburg - R 1-8 -7 L 2.0 O 3-12 0-0 1-7 205 7.0 9

SDQL Text team=Diamondbacks and date>=20040801 and line>=200 and streak<6 and p:runs>0

Trend AnalysisWe don’t usually like to look at trends

isolating only extremely big favorites or dogs, but when a trend gets large enough it can’t be ignored — and this is the largest trend currently in our database

The Diamondbacks are 0-33 (+$3,300) since August 2004 as a +200 or greater underdog if they scored last game and have

not won six or more straight games.For a trend so large, the parameters of

the trend are quite simple. Arizona has been absolutely terrible in games where they are huge underdogs, going back over a decade. We use the additional SDQL to eliminate instances where the D-Backs are coming off being shutout as well as games where Arizona is on a 6+ game winning streak. That is something that is extremely unlikely to occur considering the game line, as teams on 6+ game winning streak dogs have been 200+ dogs just seven times in database history.

PLAY AGAINST TEAM TREND SportsBookBreakers

Query Output File


Jon Lester has produced a team record of 20-0 (+$2,075) in his career at night when his team used at least six pitchers yesterday and scored less than five runs in the first inning.

SU: 20-0 (3.60, 100.0%) avg line: -134.3 / 120.8 RL: 13-5 (2.61, 72.2%) avg line: 102.7 / -115.8


Date Site Team Starter Opp Starter Score SUm W/L OUm O/U Hits Errors BL Line Total Inn.Jun 27, 2006 home Red Sox Jon Lester - L Mets Alay Soler - R 9-4 5 W 2.5 O 15-6 0-0 6-0 -125 10.5 9Jul 07, 2006 away Red Sox Jon Lester - L White Sox Mark Buehrle - L 7-2 5 W -1.0 U 13-8 0-0 5-0 130 10.0 9Sep 12, 2007 home Red Sox Jon Lester - L Rays Edwin Jackson - R 5-4 1 W -1.5 U 9-9 0-0 1-4 -205 10.5 9Oct 28, 2007 away Red Sox Jon Lester - L Rockies Aaron Cook - R 4-3 1 W -4.0 U 9-7 0-0 3-0 -135 11.0 9May 31, 2008 away Red Sox Jon Lester - L Orioles Garrett Olson - L 6-3 3 W 0.0 P 9-9 0-2 3-2 -130 9.0 9Jul 03, 2008 away Red Sox Jon Lester - L Yankees Andy Pettitte - L 7-0 7 W -2.0 U 11-5 0-1 7-0 125 9.0 9Aug 02, 2008 home Red Sox Jon Lester - L Athletics Dana Eveland - L 12-2 10 W 5.0 O 14-7 0-1 10-2 -220 9.0 9Aug 18, 2008 away Red Sox Jon Lester - L Orioles Jeremy Guthrie - R 6-3 3 W 0.5 O 9-5 0-1 3-0 -125 8.5 9Oct 06, 2008 home Red Sox Jon Lester - L Angels John Lackey - R 3-2 1 W -3.5 U 9-6 0-1 2-0 -135 8.5 9Apr 29, 2009 away Red Sox Jon Lester - L Indians Fausto Carmona - R 6-5 1 W 1.5 O 10-8 1-1 1-5 -125 9.5 10+Oct 01, 2009 home Red Sox Jon Lester - L Indians Carlos Carrasco - R 3-0 3 W -6.5 U 12-3 0-0 3-0 -245 9.5 9May 09, 2010 home Red Sox Jon Lester - L Yankees AJ Burnett - R 9-3 6 W 3.0 O 10-7 0-1 7-0 -110 9.0 9Aug 14, 2010 away Red Sox Jon Lester - L Rangers Colby Lewis - R 3-1 2 W -5.0 U 10-7 1-1 3-0 -105 9.0 9Sep 06, 2010 home Red Sox Jon Lester - L Rays Jeff Niemann - R 12-5 7 W 8.5 O 9-8 0-0 9-1 -160 8.5 9May 30, 2012 home Red Sox Jon Lester - L Tigers Drew Smyly - L 6-4 2 W 0.5 O 12-12 0-0 2-3 -135 9.5 9Aug 24, 2012 home Red Sox Jon Lester - L Royals Bruce Chen - L 4-3 1 W -2.0 U 10-7 1-1 2-1 -177 9.0 9Aug 19, 2013 away Red Sox Jon Lester - L Giants Tim Lincecum - R 7-0 7 W 0.0 P 12-6 1-1 7-0 -125 7.0 9Oct 28, 2013 away Red Sox Jon Lester - L Cardinals Adam Wainwright - R 3-1 2 W -2.5 U 9-4 0-0 2-0 115 6.5 9Apr 17, 2014 away Red Sox Jon Lester - L White Sox Chris Sale - L 3-1 2 W -3.0 U 5-8 0-0 2-0 105 7.0 9May 27, 2014 away Red Sox Jon Lester - L Braves Aaron Harang - R 6-3 3 W 2.0 O 12-10 0-1 3-1 -105 7.0 9

SDQL Textstarter=Jon Lester and rest=0 and 6<=p:PU and NGT and p:R1<5

Trend AnalysisA great feature from www.killersports.

com is the ability to isolate starting pitcher trends using the “starter=name” parameter.

One such trend which we at SportsBook Breakers really like and have now tracked for the past five seasons is as follows: Jon Lester has produced a team record of 20-0 (+$2,075) in his career at night when his team used at least six pitchers yesterday and scored less than five runs in the first inning.

When you ask baseball types what de-fines a true ace, the first thing you are likely to hear is a pitcher who can stop a winning streak. The second item you will hear is a pitcher that can pick up a tired bullpen and

that is what we see Jon Lester doing here. This trend looks at games where Jon

Lester is pitching when his team played yesterday and was forced to use at least five relievers. The SDQL shortcut “NGT” isolates just night games, in part eliminating games with a quick night-to-day turnaround. And finally, the parameter “p:M1<5” eliminates games where Lester’s team jumped out to big first inning, alleviating the need for the team to use its best relievers.

Lester offers nice, consistent efforts in these games, going at least six innings in 16 of the 20 starts and allowing no more than two runs in 14 of the 20.

All 20 previous active games have come with Boston but this season, Lester will continue this trend with the Cubs, where their questionable bullpen may lead to extra active instances of this strong trend.

TOP STARTER TREND SportsBookBreakers

Query Output File


2013 FUTURES

The Red Sox are 0-19-1 OU since October 2009 when the total is under 11 when they are facing a starter with an ERA of at least 6.50 and it is at least game 33 of the season.

Query Output FileSU: 13-7 (0.80, 65.0%) avg line: -171.2 / 153.2 OU: 0-19-1 (-3.67, 0.0%) avg total: 9.6


Date Site Team Starter Opp Starter Score SUm W/L OUm O/U Hits Errors BL Line Total Inn.Oct 01, 2009 home Red Sox Jon Lester - L Indians Carlos Carrasco - R 3-0 3 W -6.5 U 12-3 0-0 3-0 -245 9.5 9May 14, 2010 away Red Sox Clay Buchholz - R Tigers Max Scherzer - R 7-2 5 W 0.0 P 10-5 1-0 5-0 -125 9.0 9Jun 19, 2010 home Red Sox Tim Wakefield - R Dodgers Vicente Padilla - R 5-4 1 W -1.5 U 10-6 4-0 2-1 -145 10.5 9Jul 02, 2010 home Red Sox Tim Wakefield - R Orioles Bradley Bergesen - R 3-2 1 W -5.5 U 6-7 0-1 1-1 -230 10.5 9Jul 11, 2010 away Red Sox Daisuke Matsuzaka - R Blue Jays Jesse Litsch - R 3-2 1 W -4.5 U 6-8 0-0 3-0 -125 9.5 9May 22, 2011 home Red Sox Tim Wakefield - R Cubs James Russell - L 5-1 4 W -4.5 U 12-5 0-1 4-0 -200 10.5 9Jul 05, 2011 home Red Sox Jon Lester - L Blue Jays Brett Cecil - L 3-2 1 W -4.5 U 7-6 0-0 3-0 -230 9.5 9Jul 25, 2011 home Red Sox Jon Lester - L Royals Kyle Davies - R 1-3 -2 L -5.5 U 13-12 0-1 1-2 -290 9.5 10+Jun 22, 2012 home Red Sox Jon Lester - L Braves Jair Jurrjens - R 1-4 -3 L -5.5 U 3-13 0-0 0-3 -180 10.5 9Jul 16, 2012 home Red Sox Aaron Cook - R White Sox Dylan Axelrod - R 5-1 4 W -4.5 U 10-5 2-0 4-1 -135 10.5 9Aug 05, 2012 home Red Sox Franklin Morales - L Twins Nick Blackburn - R 6-4 2 W -0.5 U 14-6 0-0 5-0 -190 10.5 9Aug 07, 2012 home Red Sox Jon Lester - L Rangers Ryan Dempster - R 3-6 -3 L -0.5 U 8-10 0-1 0-4 -112 9.5 9Aug 10, 2012 away Red Sox Clay Buchholz - R Indians Chris Seddon - L 3-2 1 W -4.0 U 6-2 2-1 2-1 -155 9.0 9May 11, 2013 home Red Sox Clay Buchholz - R Blue Jays Mark Buehrle - L 2-3 -1 L -4.5 U 7-8 0-1 0-2 -190 9.5 9May 17, 2013 away Red Sox Clay Buchholz - R Twins Vance Worley - R 3-2 1 W -3.5 U 10-4 0-1 1-1 -141 8.5 10+Jun 13, 2013 away Red Sox Felix Doubront - L Orioles Kevin Gausman - R 4-5 -1 L -0.5 U 9-12 2-1 0-3 -110 9.5 10+Jun 18, 2013 home Red Sox Felix Doubront - L Rays Jake Odorizzi - R 3-1 2 W -6.0 U 7-4 0-0 2-0 -150 10.0 9Jun 26, 2013 home Red Sox John Lackey - R Rockies Roy Oswalt - R 5-3 2 W -2.0 U 10-9 0-0 4-1 -173 10.0 9Aug 20, 2013 away Red Sox Jake Peavy - R Giants Ryan Vogelsong - R 2-3 -1 L -2.5 U 7-8 0-0 2-1 -155 7.5 9Oct 12, 2013 home Red Sox Jon Lester - L Tigers Anibal Sanchez - R 0-1 -1 L -7.0 U 1-9 1-0 0-1 -143 8.0 9

SDQL Textteam = Red Sox and date>=20091001 and total<11 and wins+losses>=32 and o:STDSERA>=6.5

Trend Analysis When a team that is traditionally one of

the best offenses in the league is facing a really bad starting pitcher, it is only logical that you would expect there to be a good deal of runs scored. Boston has been one of the best offenses in the league, but as we see from this OU trend, that scoring has not come in these games.

The Red Sox are 0-19-1 OU since October 2009 when the total is under 11 if they are facing a starter with an ERA of at least 6.50 and it is at least game 33 of the season.

An opposing pitcher with an ERA of at least 6.50 is a pretty fair jumping point for assuming he is truly not a very good pitcher and besides a couple of notable exceptions, the list of pitchers found in the game log

shows that this is indeed the case. The parameter of “wins+losses>=32” is

added to ensure that this is at least game 33 of the season, allowing starter’s ERA to normalize over at least a month of the season (several starters will have higher ERAs than normal over the first month of the season due to small sample size).

The final parameter of “total<11” eliminates games with an extraordinarily high total, but in general, we are seeing value with the total number in these games. The average total in these games is 9.6 while the average total the Red Sox have played to in all games over this time frame is 8.7.

For whatever reason, the Red Sox offense just doesn’t do well against these starters, scoring just 3.4 runs per game compared to their normal average of 4.8 runs per game. Their pitching has bailed them out in many of these games, allowing just 2.5 runs per game, leading to comfortable unders in most of these instances.

OU TEAM TREND SportsBookBreakers


TEAM W-L TRENDSTREND ID TREND DESCRIPTIONS SDQL TEXTBON001 The Red Sox are 11-0 (+$1,100) since 2006 as a favorite

between -120 and -180, following a win where they trailed by at least three after six innings.

team=Red Sox and season>=2006 and -180<=line<=-120 and p:M6<=-3 and p:W

BON002 The Mariners are 0-12 (+$1,265) since August 2007 after a game where the teams combined for at least 20 runs.

team = Mariners and date>=20070801 and p:runs + po:runs>=20

BON003 Tommy Milone has produced a team record of 21-0 (+$2,347) in his career in the regular season after going no more than five innings while allowing less than 10 hits last start.

starter=Tommy Milone and s:SIP<=5 and play-offs=0 and s:SHA<10

With the five bonus trends below, we have the opportunity to take a look at how to properly read the trends on the forthcoming pages. Each trend is broken down into three columns. The first column is used to identify the trend as a team trend, starter trend or bonus trend. The second column is the heart of the information — the situation that has occurred for the team, or starter, and their subsequent result. It also includes how far the trend dates back, with the longest trends going back to the start of the database in 2004 (meaning these trends could be even bigger than described!) Finally the third column is the SDQL text which will produce the trend on www.killersports.com or sportsdatabase.com.

Each teams’ trends 001-004 are made up of team W-L trends. For example this means that in BON001, Boston has won 11 times and has never lost since 2006 in the given situation. The other aspect is the (+$xxxx) included with each W-L trend. For winning trends such as BON001, the given amount of money the $100 player would be up having bet on this trend in each instance. That means that if the team was an underdog, the bettor wagered $100 to win the amount of the underdog line. For favorites, the bettor would have risked the amount of the line in order to win $100. When the trend is a losing trend such as BON002, the given amount represents how much a bettor would be up if they had bet against the team in each instance, in the same fashion.

Up to this point, this MLB Bible has been primarily about trend and system analysis, and that is certainly an important part of understanding why certain situations have been smart gambling opportunities. However without the base knowledge of what is happening — in this case the trends — there is no value in knowing how to analysis them.

With this in mind, SportsBook Breakers and Killersports.com have teamed up to load you up with trends — 215 perfect trends in all. There are 215 total trends including six for each team, consisting of four win-loss team trends, one over-under team trend and one starter win-loss trend for each of MLB’s 30 clubs. In addition, there are 12 bonus team W-L trends, 12 bonus team OU trends and 11 bonus starter W-L trends including the five example trends you find below.

STARTER W-L TRENDS

The same guidelines to team W-L trend apply to starter W-L trends. Do note that while these trends are listed under individual team sections, the trends often span over a pitcher’s time with more than one team. For instance this above BON003 trend covers Tommy Milone’s time with Washington, Oakland and Minnesota.

BON004 The Reds are 15-0 OU since 2010 after a loss where they allowed at least eight walks.

team=Reds and 2010<=season and po:walks>=8 and p:L

BON005 The Giants are 0-10 OU since August 28, 2012 as a favorite of more than -150 after a 5+ run loss.

team=Giants and line<-150 and p:margin<=-5 and date>=20120828

OU TRENDS

Each teams’ trend 005 is an OU trend. In BON004, the trend record of 15-0 means that Cincinnati has gone over 15 times with no unders in this situation. In BON005, San Francisco has gone under all 10 times in the given situation. Winning dollar amounts are not given with OU trends as it is assumed the line on each bet was even on each side meaning that betting the under would be (+$1,000) for trend BON005.

KILLERSPORTS.COM MLB TRENDS SET


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTLAA001 The Angels are 0-15 (+$1,823) since April 10, 2013 after a

loss in which they had more than ten team-left-on-base. team=Angels and 10<p:TLOB and p:L and date>=20130410

LAA002 The Angels are 0-13 (+1,300) since July 2007 as a road dog of more than +110 vs an American League opponent when they are off a one-run win in which they led for fewer than five innings and scored less than 14 runs.

team=Angels and 20070701<=date and A and line>110 and conference = o:conference and p:margin=1 and p:runs<14 and p:IL<5

LAA003 The Angels are 11-0 (+1,100) since June 20, 2012 as a favorite of -125 or more after a 5+ run win when it is the last game of a series.

team=Angels and line<=-125 and p:margin>=5 and LGS and date>=20120620

LAA004 The Angels are 8-0 (+$865) in database history when fac-ing an AL team which has five or less hits in each of their last three games.

team=Angels and op:hits<=5 and opp:hits<=5 and oppp:hits<=5 and C

LAA005 The Angels are 0-11-1 OU since June 20, 2012 at home after a 5+ run win when it is the last game of a series.

team=Angels and H and p:margin>=5 and LGS and date>=20120620

STR001 Jered Weaver has produced a team record of 20-0 (+$2,005) in his career when he is off a start in which he had a WHIP of at least two and they did not lose by more than seven, if his team isn’t an underdog or more than +110.

starter=Jered Weaver and line<=110 and s:SWHIP>=2 and s:margin>=-7

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTHOU001 The Astros are 0-15 ($+1,500) since April 24, 2011 as a dog

after an extra inning win for a net profit of $1500 when playing against.

team=Astros and D and p:XW and date>=20110424

HOU002 The Astros are 11-0 (+$1,100) since May 2, 2008 as a favorite of more than -110 when they are off a loss in which they held the lead and it is the first game of a series.

team=Astros and line<-110 and p:BL>0 and p:L and SG=1 and date>=20080502

HOU003 The Astros are 9-0 (+$1,020) in database history following a loss where they led by at least four runs after five innings and did not lead by more than that after the second inning.

team=Astros and p:M5>=4 and p:L and p:M2-p:M5<=0

HOU004 The Astros are 0-8 (+$800) since September 10, 2010 after a win where they trailed by more than a run after five in-nings and scored less than seven runs.

team=Astros and date>=20100910 and p:M5<=-2 and p:W and p:runs<7

HOU005 The Astros are 0-10 OU since June 2007 as a home dog after an extra inning loss where they scored at least two runs.

team=Astros and HD and p:XL and p:runs>1 and date>=20070601

STR002 Scott Feldman has produced a team record of 0-11 (+$1,300) since September 2009 coming off a start where he went less than five innings and allowed 4-7 runs.

starter= Scott Feldman and date>=20090901 and s:SIP<5 and 7>=s:SRA>=4

LOS ANGELES ANGELS

HOUSTON ASTROS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTOAK001 The Athletics are 16-0 (+$1,890) since August 26, 2004 in

the last game of a 3+ game series following a shutout win where they scored 2-10 runs and allowed less than seven hits.

team=Athletics and 20040826<=date and po:runs=0 and 10>=p:runs>=2 and LGS and SG>2 and po:hits<7

OAK002 The Athletics are 11-0 (+$1,100) in database history as a favorite of more than 120 when they’ve won each of the past three games by at least four runs.

team=Athletics and line<-120 and p:margin>=4 and pp:margin>=4 and ppp:margin>=4

OAK003 The Athletics are 0-9 (+$1,015) in database history against an AL team when they committed at least four errors last game and it wasn’t the season opener.

team=Athletics and conference=o:conference and p:errors>=4 and wins+losses>1

OAK004 The Athletics are 0-8 (+$1,058) since July 9, 2014 on the road after scoring 6+ runs in a win.

team=Athletics and A and 6<=p:runs and p:W and date>=20140709

OAK005 The Athletics are 0-12 OU in database history when they’ve lost four straight game by multi-runs and are facing a starter with an ERA of at least 3.45.

team=Athletics and p:margin<=-2 and pp:margin<=-2 and ppp:margin<=-2 and pppp:margin<=-2 and o:STDSERA>=3.45

STR003 Sonny Gray has produced a team record of 0-7 (+$988) in his career when his team won last game and Gray had a WHIP of less than one last start.

starter=Sonny Gray and s:SWHIP<1 and p:W

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTTOR001 The Blue Jays are 17-0 (+$1,700) in database history as a

home favorite in a game not starting before 1:00 after a win in which they allowed 12+ hits against this team.

team=Blue Jays and HF and start time>=1300 and 12<=po:hits and p:W and SG>1

TOR002 The Blue Jays are 0-15 (+$1,500) since September 2006 as a 145+ dog after shutting out their opponent.

team=Blue Jays and line>=145 and po:runs=0 and date>=20060901

TOR003 The Blue Jays are 0-11 (+$1,280) since August 2010 if not a 230+ favorite after a game where they got a complete game from their starter who threw at least 106 pitches, if did not trail by 3+ runs after seven innings.

team=Blue Jays and date>=20100801 and p:PU=1 and p:pitches>=106 and p:M7>-3 and line>-230

TOR004 The Blue Jays are 11-0 (+$1,147) since 2008 facing an AL team following a win where they trailed by at least four runs, but were not down more than four after five innings.

team=Blue Jays and season>=2008 and p:W and po:BL>=4 and p:M5>=-4 and o:conference=conference

TOR005 The Blue Jays are 0-7-1 OU in database history with a total of at least nine, if they scored 15+ runs last game.

team=Blue Jays and season>=2004 and p:runs>=15 and total>=9

STR004 Mark Buehrle has produced a team record of 8-0 (+$1,160) since May 6, 2013 as a 140+ dog when they are not on a 5+ game losing streak.

starter=Mark Buehrle and 140<=line and streak>-5 and date>=20130506

OAKLAND ATHLETICS

TORONTO BLUE JAYS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTMIL001 The Brewers are 0-14 (+$1,400) in database history as a

200+ dog with a total of at least eight.team=Brewers and line>=200 and total>=8

MIL002 The Brewers are 0-12 (+$1,200) since July 8, 2004 as a home dog after shutting out their opponent at least three hits.

team=Brewers and HD and po:runs=0 and po:hits>=3 and date>=20040708

MIL003 The Brewers are 9-0 (+$900) since May 16, 2006 as a fa-vorite of more than -120 when they are off a walk off win and it is the first game of a series.

team=Brewers and line<-120 and p:WOW and SG=1 and date>=20060516

MIL004 The Brewers are 8-0 (+$1,160) since August 27, 2013 as a road dog of +130-+165 in the first game of the series.

team=Brewers and A and 130<=line<=165 and SG=1 and date>=20130827

MIL005 The Brewers are 0-10 OU since July 2011 as a home favor-ite prior to September after shutting out their opponent last game.

team=Brewers and HF and po:runs=0 and month<9 and date>=20110701

STR006 Matt Garza has produced a team record of 0-14 (+$1,632) in his career when the total is under 9 after a start where he allowed no runs and threw at least seven innings and 103 pitches.

starter=Matt Garza and s:SRA=0 and s:SPT>=103 and total<9 and s:SIP>=7

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTATL001 The Braves are 0-13 (+$1,320) since September 2011 as a

road dog after a loss in which they used 5+ pitchers. team=Braves and AD and 5<=p:pitchers used and p:L and date>=20110901

ATL002 The Braves are 11-0 (+$1,200) since 2006 on the road when they are off two one-run wins but not 9+ straight wins.

team=Braves and A and p:margin=1 and pp:margin=1 and streak<9 and season>=2006

ATL003 The Braves are 11-0 (+$1,100) since June 24, 2005 as a favorite with a total under 10 after being shutout yesterday.

team=Braves and F and total<10 and p:runs=0 and SG=1 and rest=0 and date>=20050624

ATL004 The Braves are 0-10 (+$1,170) since August 2008 on the road after a loss in which they had 12+ hits and allowed less than 10 runs.

team=Braves and A and p:hits>=12 and p:L and po:runs<10 and date>=20080801

ATL005 The Braves are 0-9 OU since May 18, 2004 as a dog when the total is under nine, vs a team that has lost at least their last three games and it is the first game of a series.

team=Braves and D and total<9 and o:streak<=-3 and SG=1 and date>=20040518

STR005 Mike Minor has produced a team record of 15-0 (+$1,500) in his career as a favorite of more than -115 when he had a WHIP of less than one last start and his team scored last game.

starter=Mike Minor and line<-115 and s:SWHIP<1 and p:runs>0

ATLANTA BRAVES

MILWAUKEE BREWERS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTCHC001 The Cubs are 11-0 (+$1,100) since June 3, 2007 as a favorite

when they are off two losses in which they never led and it is the last game of a series.

team=Cubs and F and p:BL=0 and p:L and pp:BL=0 and pp:L and SG=SGS and date>=20070603

CHC002 The Cubs are 9-0 (+$998) in database history when the total is no more than 10, following a loss where they led by at least three after one inning.

team=Cubs and p:M1>=3 and p:L and total<=10

CHC003 The Cubs are 0-9 (+$905) since September 2008 on the road after allowing 6+ runs in a win by three runs or less.

team=Cubs and A and 6<=po:runs and 0<p:margin<=3 and date>=20080901

CHC004 The Cubs are 0-7 (+$1,330) in database history as a 200+ favorite when their opponent is seeking immediate revenge for a shutout loss.

team=Cubs and H and line<=-200 and SG>1 and po:runs=0

CHC005 The Cubs are 10-0 OU since May 3, 2008 as a road favorite of at least -120 after a loss in which they allowed 5+ walks and it is not the first game of a series.

team=Cubs and 20080503<=date and A and line<=-120 and p:L and SG>1 and po:walks>=5

STR008 Travis Wood has produced a record of 0-15 (+$1,500) since August 2012 as a dog of at least +100 after more strike outs than hits allowed and between 6 and 10 strikeouts.

starter=Travis Wood and line>=100 and s:SSO>s:SHA and 10>=s:SSO>=6 and date>=20120801

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTSTL001 The Cardinals are 0-14 (+$1.400) since June 20, 2006 as a

regular season road dog of +140 or more when they are off a win in which they never trailed and it is not the last game of a series.

team=Cardinals and A and 140<=line and po:BL=0 and p:W and playoffs=0 and SG!=SGS and date>=20060620

STL002 The Cardinals are 11-0 (+$1,110) since September 16, 2010 at home after a 1-2 run loss in which they had at least five more team-left-on-base than their opponent.

team=Cardinals and H and -2<=p:margin<=-1 and po:TLOB+5<=p:TLOB and date>=20100916

STL003 The Cardinals are 11-0 (+$1,100) since 2010 at home com-ing off a road loss as a favorite of at least -130.

team=Cardinals and H and p:AL and p:line<=-130 and season>=2010

STL004 The Cardinals are 0-11 (+1,355) since 2007 if not more than -200 favorites after a game where they allowed at least four unearned runs but did not give up five or more runs in the first inning.

team=Cardinals and season>=2007 and po:runs - po:earned runs>=4 and po:R1<5 and line>=-200

STL005 The Cardinals are 12-0 OU since September 13, 2009 at home when they are off a loss in which they scored in at least four separate innings.

team=Cardinals and H and p:SII>=4 and p:L and date>=20090913

STR007 Adam Wainwright has produced a team record of 9-0 (+$905) since 2007 on the road against an NL team that has lost at least their last three games.

starter=Adam Wainwright and A and o:streak<=-3 and conference=o:conference and season>=2007

ST LOUIS CARDINALS

CHICAGO CUBS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTLAD001 The Dodgers are 0-13 (+$1,300) since June 24, 2004 as a

road dog vs a team that has won at least their last four games and it is the last game of a series.

team=Dodgers and AD and 4<=o:streak and SG=SGS and date>=20040624

LAD002 The Dodgers are 10-0 (+$1,000) since July 2007 as a home favorite of at least -120 vs a team that has won at least their last three games and it is the last game of a series.

team=Dodgers and H and line<=-120 and 3<=o:streak and SG=SGS and date>=20070701

LAD003 The Dodgers are 10-0 (+$1,000) in database history as a road favorite after a loss in which they did not walk the opponent.

team=Dodgers and AF and po:walks=0 and p:L

LAD004 The Dodgers are 0-9 (+$1,277) since May 2007 as a road 140+ favorite when they are off two wins in which they never trailed.

team=Dodgers and A and line<=-140 and po:BL=0 and p:W and ppo:BL=0 and pp:W and date>=20070501

LAD005 The Dodgers are 13-0 OU since August 8, 2012 as a favorite of more than -140 when they are off two losses in which they never led.

team=Dodgers and F and p:margin>=5 and SG=1 and date>=20110708

STR010 Clayton Kershaw has produced a team record of 14-0 (+$1,470) since 2009 when the total is at least 7 and his team’s starter worked less than five innings yesterday.

starter=Clayton Kershaw and season>=2009 and p:SIP<5 and rest=0 and total>=7

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTARI001 The Diamondbacks are 0-28 (+$2,800) as a +180 or greater

underdog against an NL West team ahead of them in the standings.

team=Diamondbacks and 180<=line and DIV and o:WP>WP

ARI002 The Diamondbacks are 0-16 (+$1,615) since 2009 if they aren’t more than -135 favorites and have allowed six or less hits each of the past three games.

team=Diamondbacks and season>=2009 and po:hits<=6 and ppo:hits<=6 and pppo:hits<=6 and line>=-135

ARI003 The Diamondbacks are 11-0 (+$1,125) at home before Sep-tember coming off an extra inning loss against this team.

team=Diamondbacks and H and p:XL and SG>1 and month<9 and season>=2005

ARI004 The Diamondbacks are 7-0 (+$720) in database history fol-lowing a win where they trailed by at least six runs.

team=Diamondbacks and p:W and po:BL>=6

ARI005 The Diamondbacks are 0-7 OU since 2013 on a 4+ game winning streak.

team = Diamondbacks and season >= 2013 and streak>=4

STR009 Patrick Corbin has produced a team record of 10-0 (+$1,162) since September 16, 2012 vs a team that has won at least their last two games.

starter=Patrick Corbin and 2<=o:streak and date>=20120916

ARIZONA DIAMONDBACKS

LOS ANGELES DODGERS


BONUS SU TRENDSTREND ID TREND DESCRIPTIONS SDQL TEXTBON006 The Cardinals are 16-0 (+$1,600) since June 2010 as a home

favorite of -125 to -200 coming off a walk off win. team=Cardinals and H and -200<=line<=-125 and p:WOW and date>=20100601

BON007 The Yankees are 13-0 (+$1,300) since September 2011 if they are not -190+ favorites, after a game where they com-mitted at least three errors and allowed at least five hits.

team=Yankees and date>=20110901 and p:errors >= 3 and po:hits>=5 and line>-190

BON008 The Royals are 12-0 (+$1,200) since April 19, 2014 as a home favorite in the second or third game of the series when they are off a win in which they never trailed.

team=Royals and HF and po:BL=0 and p:W and 3>=SG>=2 and date>=20140419

BON009 The Rays are 11-0 (+$1,100) since May 3, 2009 as a 140+ favorite after scoring 6+ runs in a loss.

team=Rays and line<=-140 and 6<=p:runs and p:L and date>=20090503

BON010 The Red Sox are 11-0 (+$1,147) in database history when they committed at least four errors last game.

team=Red Sox and p:errors>=4

BON011 The Cubs are 10-0 (+$1,000) since June 30, 2008 as a road favorite of more than -115 after losing as a road dog last game.

team=Cubs and A and line<-115 and p:ADL and date>=20080630

BON012 The Royals are 0-12 (+$1,205) since December 2004 after a game where they had two or fewer hits.

team=Royals and date>=20040901 and p:hits<=2

BON013 The Giants are 0-11 (+$1,238) since 2005 if they are not dogs of more than +120, coming off a win where they trailed by at least three runs after six innings.

team=Giants and season>=2005 and p:M6<=-3 and p:W and line<=120

BON014 The Reds are 0-10 (+$1,331) since June 2013 as a favorite when they are off a win in which they had at least three times as many hits as runs and it is not the first game of a series.

team=Nationals and season>=2006 and os:SRA>=9 and os:SIP<=4

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STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTCLE001 The Indians are 0-12 (+$1,200) since September 21, 2006

as a road dog after a one run loss and it is the last game of a series.

team=Indians and AD and line<155 and p:margin=-1 and SG=SGS and date>=20060921

CLE002 The Indians are 8-0 (+$883) in database history when facing a team averaging less than 1.5 runs over their last three games.

team=Indians and season>=2004 and oA(runs, N=5)<1.5

CLE003 The Indians are 0-7 (+$1,050) since June 20, 2005 as a fa-vorite after scoring 3 runs or less and winning as a favorite, and it is the first game of a series.

team=Indians and F and po:runs<p:runs<=3 and p:F and SG=1 and date>=20050620

CLE004 The Indians are 7-0 (+$860) since 2005 as home dogs in the first three games of a series after a multi-run win where they allowed at least five walks.

team=Indians and season>=2005 and HD and po:walks>=5 and p:margin>1 and SG<=3

CLE005 The Indians are 0-9-1 OU since 2010 when they allowed 4+ home runs last game but did not lose by 7 or more.

team = Indians and season >= 2010 and po:home runs >= 4 and p:margin>-7

STR012 Corey Kluber has produced a team record of 12-0 (+$1,200) since June 2013 at home after more strike outs than hits allowed.

starter=Corey Kluber and H and s:SSO>s:SHA and date>=20130601

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTSF001 The Giants are 0-14 (+$1,400) since July 27, 2005 as a dog

of 195 or greater.team=Giants and date>=20050727 and line>=195

SF002 The Giants are 0-12 (+$1,200) since July 30, 2004 as a home dog after a loss in which they had fewer than five team-left-on-bae as a dog.

team=Giants and HD and p:TLOB<5 and p:DL and date>=20040730

SF003 The Giants are 0-9 (+$978) since 2013 when at least their last five games went over the total and Madison Bumgarner is not starting.

team = Giants and ou streak >= 5 and starter!=Madison Bumgarner and season >= 2013

SF004 The Giants are 9-0 (+$1,059) in database history as a dog after an extra inning loss yesterday and it is the first game of the series.

team=Giants and D and p:XL and SG=1 and rest=0

SF005 The Giants are 0-8-1 OU since July 2011 facing an NL team after they benefitted from at least three errors last game.

team = Giants and date>=20110701 and po:errors >= 3 and o:conference=NL

STR011 Tim Lincecum has produced a team record of 11-0 (+$1,145) when coming off a start where he did not walk a batter and went more than six innings.

starter=Tim Lincecum and s:SWA=0 and s:SIP>6 and season>=2009

SAN FRANCISCO GIANTS

CLEVELAND INDIANS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTMIA001 The Marlins are 0-12 (+$1,370) in database history at home

when they are off a walk off loss.team=Marlins and H and po:WOW

MIA002 The Marlins are 0-11 (+$1,240) since 2010 if their opponent has won at least 41% of their games on the season but allowed at least 11 hits in each of the last three games.

team=Marlins and season>=2010 and opo:hits>=11 and oppo:hits>=11 and opppo:hits>=11 and o:WP>=41

MIA003 The Marlins are 0-11 (+$1,100) since August 2011 on the road after a multi-run loss against this team where they allowed 6 or fewer hits.

team=Marlins and A and po:hits<=6 and p:margin<-1 and SG>1 and date>=20110801

MIA004 The Marlins are 9-0 (+$1,190) since 2007 if their opponent has 12+ hits in each of their last three games and did not lose by more than a run last game.

team=Marlins and season>=2007 and op:hits>=12 and opp:hits>=12 and oppp:hits>=12 and op:margin>=-1

MIA005 The Marlins are 0-10-1 OU since July 3, 2005 as a road favorite it is the last game of a three game series when they split the first two.

team=Marlins and A and F and SG=SGS=3 and ((p:W and pp:L) or (p:L and pp:W)) and date>=20050703

STR014 Jose Fernandez has produced a team record of 14-0 (+$1,464) since April 13, 2013 at home after more strike outs than hits allowed.

starter=Jose Fernandez and H and s:SSO>s:SHA and date>=20130413

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTSEA001 The Mariners are 0-21 (+$2,332) since August 13, 2006

when they’ve allowed 12+ hits in each of the past three games but did not allow 10+ runs in all three of those games, and have not lost eight or more straight games.

team=Mariners and date>=20060813 and po:hits>=12 and ppo:hits>=12 and pppo:hits>=12 and (po:runs<10 or ppo:runs<10 or pppo:runs<10) and streak>=-7

SEA002 The Mariners are 0-14 (+$1,400) since August 08, 2009 as a dog after an extra inning win and it is not the first game of a series.

team=Mariners and D and p:XW and SG>1 and date>=20090808

SEA003 The Mariners are 10-0 (+$1,328) since May 31, 2013 on the road with less than three days rest vs a team that has won at least their last three games.

team=Mariners and A and 3<=o:streak and rest<3 and date>=20130531

SEA004 The Mariners are 0-9 (+$940) in database history following a loss where they led by at least four runs after the fifth inning.

team=Mariners and p:M5>=4 and p:L

SEA005 The Mariners are 13-0 OU since August 8, 2012 after scor-ing 6+ runs in a loss.

team=Mariners and 6<=p:runs and p:L and date>=20120808

STR013 Felix Hernandez has produced a team record of 9-0 (+$980) in his career vs a team on a 3-7 game winning streak and it is the first game of the series.

starter=Felix Hernandez and 3<=o:streak<=7 and SG=1

SEATTLE MARINERS

MIAMI MARLINS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTWAS001 The Nationals are 21-0 (+$2,100) in team history as a road

favorite in the regular season after a win where they allowed 6 or fewer hits, which did not end a 3+ game losing streak.

team=Nationals and AF and po:hits<=6 and p:W and p:streak>-3 and playoffs=0

WAS002 The Nationals are 0-13 ($+1,300) since September 14, 2012 as a road dog after a win in which they used 5+ pitchers.

team=Nationals and AD and 5<=p:PU and p:W and date>=20120914

WAS003 The Nationals are 10-0 ($+1,020) since June 10, 2014 com-ing off a 5+ run win against this opponent.

team=Nationals and p:margin>=5 and SG>1 and date>=20140610

WAS004 The Nationals are 7-0 (+$1,380) since September 26, 2007 as a 170+ dog after a one run win and it is not the first game of a series.

team=Nationals and 170<=line and p:margin=1 and SG>1 and date>=20070926

WAS005 The Nationals are 0-15-1 OU since August 24, 2011 when they were shutout last game with 3-6 hits while allowing less than nine runs and less than 10 team left on base.

team=Nationals and date>=20110824 and p:runs=0 and po:runs<9 and 6>=p:hits>=3 and po:TLOB<10

STR016 Jordan Zimmermann has produced a team record of 10-0 (+$1,000) since September 24, 2012 at home in the regular seasonafter winning as a home favorite in his last start.

starter=Jordan Zimmermann and H and play-offs=0 and s:HFW and date>=20120924

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTNYM001 The Mets are 10-0 (+$1,095) since May 27, 2006 with a

total over seven after a game against an NL team when they had just two hits.

team=Mets and date>=20060527 and p:hits<=2 and total>7 and po:conference==conference

NYM002 The Mets are 7-0 (+$700) since August 2013 as a home favorite of more than -120 in the last game of a series.

team=Mets and H and line<-120 and LGS and date>=20130801

NYM003 The Mets are 0-7 (+$700) since September 2013 as an un-derdog of more than +110 after a win where they scored no more than three runs and it is not the last game of the series.

team=Mets and line>110 and po:runs<p:runs<=3 and SG!=SGS and date>=20130901

NYM004 The Mets are 6-0 (+$1,160) since May 16, 2013 as a 175+ dog it is the last game of the series.

team=Mets and 175<=line and SG=SGS and date>=20130516

NYM005 The Mets are 13-0 OU since September 8, 2011 as a dog after scoring 3 runs or less and winning as a favorite.

team=Mets and D and po:runs<p:runs<=3 and p:F and date>=20110908

STR015 Jon Niese has produced a team record of 0-9 (+$1,067) since April 20, 2012 after he had a WHIP of less than one his last start and they won by less than nine runs.

starter=Jon Niese and s:SWHIP<1 and 9>s:margin>0 and season>=2012

NEW YORK METS

WASHINGTON NATIONALS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTSD001 The Padres are 0-16 (+$1,600) since May 8, 2009 on the

road after a win in which they allowed 5+ walks and it is the first game of a series.

team=Padres and A and 5<=po:walks and p:W and SG=1 and date>=20090508

SD002 The Padres are 0-13 (+$1,300) since September 19, 2013 on the road against a team on a 2-5 game losing streak.

team=Padres and A and -5<=o:streak<=-2 and date>=20130919

SD003 The Padres are 11-0 (+$1,210) in database history when they allowed 13+ runs last game and scored between 2 and 11.

team=Padres and po:runs>=13 and 11>=p:runs>=2

SD004 The Padres are 0-8 (+$1,495) since 2005 as a 200+ favorite when they are off a loss in which they never led, as long as they were not a 150+ dog in that loss.

team=Padres and season>=2005 and line<=-200 and p:BL=0 and p:line<150

SD005 The Padres are 0-11-2 OU since September 16, 2013 when the total is over 6 after they struck out at least 13 batters last game.

team = Padres and date>=20130916 and po:strike outs>=13 and total>6

STR018 Ian Kennedy has produced a team record of 11-0 (+$1,173) since May 5, 2011 after he had a WHIP of less than one his last start at home that was not a multi-run loss.

starter=Ian Kennedy and s:SWHIP<1 and s:H and s:margin>-2 and date>=20110505

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTBAL001 The Orioles are 0-18 (+$1,940) since August 2006 after an

extra inning loss and it is the last game of a series. team=Orioles and p:XL and LGS and date>=20060801

BAL002 The Orioles are 10-0 (+$1,000) since September 26, 2012 as a favorite after being shutout.

team=Orioles and F and p:runs=0 and date>=20120901

BAL003 The Orioles are 8-0 (+$1,158) since 2009 as a dog of +105 or more with a total of at least nine after a game where they benefited from at least three unearned runs.

team=Orioles and season>=2009 and line>=105 and p:runs-p:earned runs>=3 and total>=9

BAL004 The Orioles are 0-8 (+$855) since May 2007 after a loss where they led by at least three runs after seven innings.

team=Orioles and date>=20070501 and p:M7>=3 and p:L

BAL005 The Orioles are 0-12 OU since 2008 against AL teams when coming off a win where they had at least eight hits and they trailed by at least two runs after seven innings and at least a run after eight innings.

team=Orioles and season>=2008 and p:M8<=-1 and p:M7<=-2 and p:W and p:hits>=8 and conference=o:conference

STR017 Chris Tillman has produced a team record of 8-0 (+$1,028) since July 31, 2012 on the road after walking at least four batters.

starter=Chris Tillman and A and s:SWA>=4 and date>=20120731

BALTIMORE ORIOLES

SAN DIEGO PADRES


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTPIT001 The Pirates are 0-22 (+$2,210) since August 2005 in the last

game of a road series coming off a 5+ run loss where their starter faced 10+ batters and had a WHIP of more than 1.50.

team=Pirates and 20050801<=date and 10>=to-tal>=7.7 and A and p:margin<=-5 and LGS and p:SWHIP>1.5 and p:SHF>=10

PIT002 The Pirates are 13-0 (+$2,075) since September 2008 as a 130+ home dog when they are off a loss which they never led and had more than three times as many hits as runs.

team=Pirates and 20080901<=date and H and line>=130 and p:hits*1.0/p:runs*1.0>3 and p:BL=0

PIT003 The Pirates are 12-0 (+$1,200) in database history as a 140+ favorite after a one run loss where they scored no more than five runs and it is not the last game of a series.

team=Pirates and line<=-140 and p:margin=-1 and SG!=SGS and p:runs<=5

PIT004 The Pirates are 0-9 (+$900) since 2012 as a road dog after a loss at home.

team=Pirates and AD and p:HL and sea-son>=2012

PIT005 The Pirates are 0-9 OU since August 2012 after forcing their opponent to strand at least 13 runners as a team last game.

team = Pirates and date>=20120801 and po:TLOB>= 13

STR020 Vance Worley has produced a team record of 10-0 (+$1,000) as a favorite following a start where he allowed four or fewer hits.

starter= Vance Worley and date>=20110601 and s:SHA<=4

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTPHL001 The Phillies are 13-0 (+$1,300) since September 2004 as

a favorite of 130+ when they are off a win in which they scored first and did not score after the third inning but had 3-7 runs.

team=Phillies and 20040901<=date and line<=-130 and p:runs-p:S3=0 and p:scored first=1 and p:W and 7>=p:runs>=3

PHL002 The Phillies are 0-12 (+$1,200) since July 15, 2010 as a dog after a win in which they had six or fewer hits and allowed at least four hits.

team=Phillies and D and p:hits<=6 and po:hits>=4 and p:W and date>=20100715

PHL003 The Phillies are 0-10 (+$1,052) since 2005 after a game where they struck out at least 15 times but did not lose by three or more.

team=Phillies and season>=2005 and p:SO>=15 and p:margin>-3

PHL004 The Phillies are 0-8 (+$925) since August 2005 on the road after being shutout in a game where they were not favored by more than -110 and it is the last game of a series.

team=Phillies and A and p:runs=0 and LGS and p:line>=-110 and date>=20050801

PHL005 The Phillies are 0-14 OU since May 9, 2013 when they are not playing the Mets, after forcing their opponent to strand at least 12 men on base as a team last game.

team = Phillies and date>=20130509 and po:TLOB>=12 and o:team!=Mets

STR019 Cole Hamels has produced a team record of 11-0 (+$1,200) since July 2010 vs a team that has won at least their last three games and by more than a run last game.

starter=Cole Hamels and 3<=o:streak and date>=20100701 and op:margin>1

PHILADELPHIA PHILLIES

PITTSBURGH PIRATES


BONUS STARTER TRENDSTREND ID TREND DESCRIPTIONS SDQL TEXTBON016 Zack Greinke has produced a team record of 26-0 (+$2,600)

since 2011 as a home favorite of more than -140, if they are on a multi-game winning or losing streak.

starter=Zack Greinke and season>=2011 and H and line<-140 and (streak>1 or streak<-1)

BON017 Max Scherzer has produced a team record of 23-0 (+$2,300) since 2013 as a favorite of more than -160 and less than -340 if his team is not on a multi-game losing streak.

starter=Max Scherzer and -340<line<-160 and streak>=-1 and season>=2013

BON018 Clayton Kershaw produced a team record of 10-0 (+$1,010) since October 03, 2009 at home after the team lost his last two starts.

starter=Clayton Kershaw and H and s:L and ss:L and date>=20091003

BON019 Gerrit Cole has produced a team record of 10-0 (+$1,000) since September 2013 as a favorite with a total over seven when his team is not on a multi-game winning streak.

starter=Gerrit Cole and date>=20130901 and F and total>7 and streak<2

BON020 CJ Wilson has produced a team record of 10-0 (+$1,000) since May 17, 2014 as a home favorite of at least -108.

starter=CJ Wilson and H and line<=-108 and date>=20140517

BON021 Edwin Jackson has produced a team record of 0-14 (+$1,768) since July 2009 when not a favorite of -185 or more, if he did not allow a walk last start.

starter=Edwin Jackson and date>=20090701 and line>-185 and s:SWA=0

BON022 Charlie Morton has produced a team record of 0-12 (+$1,220) since 2010 when the total is at least 8 following a start where he went less than five innings.

starter=Charlie Morton and season>=2010 and s:SIP<5 and total>=8

BON023 Doug Fister has produced a team record of 0-11 (+$1,100) since July 2010 as an underdog of more than 110 in series opening games prior to September.

starter=Doug Fister and 20100701<=date and line>110 and month<9 and series game=1

BON024 Juan Nicasio has produced a team record of 0-10 (+$1,040) since July 7, 2011 in a conference game after having more strike outs than hits allowed last start.

starter=Juan Nicasio and s:SSO>s:SHA and conference=o:conference and date>=20110707

BON025 Matt Cain has produced a team record of 0-9 (+$1,126) when coming off a start where they lost despite him al-lowing no walks.

starter=Matt Cain and s:SWA=0 and s:L and date>=20110828

KILLERSPORTS.COM MLB BONUS STARTER TRENDS

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STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTTB001 The Rays are 0-14 (+$1,400) since July 2004 as between a

+105 and a +140 dog, after a win in a night game where they drew one or fewer walks.

team=Rays and 20040701<=date and 140>=line>=105 and p:walks<=1 and p:W and p:NGT

TB002 The Rays are 12-0 (+$1,440) since 2006 following a game where they had at least three runs on no more than four hits, if they are not on a 7+ game winning streak.

team=Rays and season>=2006 and p:hits<=4 and p:runs>=3 and streak<7

TB003 The Rays are 0-10 (+$1,075) in database history if they have five or fewer hits in each of the past three games.

team=Rays and p:hits<=5 and pp:hits<=5 and ppp:hits<=5

TB004 The Rays are 9-0 (+$980) since 2007 after a win where they trailed by at least three after six innings and scored less than 10 runs.

team=Rays and season>=2007 and p:M6<=-3 and p:W and p:runs<10

TB005 The Rays are 0-9 OU since September 2009 when they are off a walk off loss and it is the last game of a series.

team=Rays and po:WOW and LGS and date>=20090901

STR022 Alex Cobb has produced a team record of 11-0 (+$1,100) in his career vs a team that has won at least their last two games but did not win by 5+ last game and scored more than three runs.

starter=Alex Cobb and 2<=o:streak and op:margin<5 and op:runs>3

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTTEX001 The Rangers are 0-18 (+$1,800) since 2005 as a 150-plus

dog when they are seeking immediate revenge for a loss in which they allowed at least five walks and at least one home run, as long as they were not a 170-plus dogs.

team=Rangers and season>=2005 and line>=150 and po:walks>=5 and p:L and SG>1 and po:HR>0 and p:line<170

TEX002 The Rangers are 14-0 (+$1,400) since May 11, 2013 as a road favorite with a total of at least seven vs a team that has lost at least their last two games.

team=Rangers and AF and total>=7 and o:streak<=-2 and date>=20130511

TEX003 The Rangers are 0-13 (+$1,472) since August 2008 when facing a team which has scored more than 8.5 runs per game over their past 4 games and at least 8 runs last game.

team=Rangers and date>=20080801 and oA(runs, N=4)>8.5 and op:runs>=8

TEX004 The Rangers are 11-0 (+$1,100) since 2010 as a favorite after a 5+ run loss where they scored less than five runs in the last game of a series yesterday.

team=Rangers and F and p:margin<=-5 and p:runs<5 and SG=1 and rest=0 and sea-son>=2010

TEX005 The Rangers are 0-13 OU since 2013 when the total is be-tween 7.5-9.5 when they went over the total by at least 7.5 runs against this team last game.

team = Rangers and season >= 2013 and p:ou margin>=7.5 and SG > 1 and 9.5>=total>=7.5

STR021 Derek Holland has produced a team record of 14-0 (+$1,430) as road starter when not more than a +125 dog, following a quality start at home.

starter=Derek Holland and 20110701<=date and A and s:QS and s:H and line<=125

TEXAS RANGERS

TAMPA BAY RAYS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTCIN001 The Reds are 17-0 (+$1,895) since 2009 after a single-digit

win where they had at least 16 hits.team=Reds and season>=2009 and p:hits>=16 and 9>=p:margin>=1

CIN002 The Reds are 0-13 (+$1,300) since May 17, 2009 as a road dog after an extra inning loss.

team=Reds and AD and p:XL and date>=20090517

CIN003 The Reds are 13-0 (+$1,300) since 2011 as a favorite after a loss in which their starter pitched at least 8 innings.

team=Reds and HF and 8<=p:SIP and p:L and season>=2011

CIN004 The Reds are 0-12 (+$1,200) since 2005 as a dog of more than +160 after a loss where they held a multi-run lead.

team=Reds and line>160 and p:BL>1 and p:L and season>=2005

CIN005 The Reds are 0-7 OU since October 2012 after committing at least three errors last game.

team = Reds and date>=20121001 and p:errors>= 3

STR024 Mike Leake has produced a team record of 12-0 (+$1,300) since June 21, 2010 after he had a WHIP of at least 2 his last start and they lost in his previous start.

starter=Mike Leake and s:SWHIP>=2 and s:margin<-1 and date>=20100601

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTBOS001 The Red Sox are 14-0 (+$1,400) since 2004 as a home fa-

vorite of at least -140 in a day game which is not the first of the series, after a win where they had between 7-9 walks.

team=Red Sox and DAY and H and line<=-140 and 7<=p:walks<=9 and p:W and SG>1

BOS002 The Red Sox are 12-0 (+$1,200) since August 2008 as a favorite when facing a team which has allowed over 8.2 runs per game the past five games.

team=Red Sox and date>=20080801 and oA(o:runs, N=5)>8.2 and F

BOS003 The Red Sox are 0-11 (+$1,353) since September 30, 2009 at home when they are off two losses in which they never led.

team=Red Sox and H and p:BL=0 and p:L and pp:BL=0 and pp:L and LGS and date>=20090930

BOS004 The Red Sox are 9-0 (+$1,030) since May 27, 2011 as a dog after a 5+ run win when it is not the first game of a series and they are not playing the Yankees.

team=Red Sox and D and p:margin>=5 and SG>1 and o:team!=Yankees and date>=20110527

BOS005 The Red Sox are 0-16-1 OU since May 19, 2013 vs a team that has lost at least their last three games when it is not the second game of the series.

team=Red Sox and o:streak<=-3 and SG!=2 and date>=20130519

STR023 Justin Masterson has produced a team record of 10-0 (+$1,000) since June 15, 2012 as a favorite of -120 to -145 facing a team he defeated last meeting.

starter=Justin Masterson and -145<=line<=-120 and S:W and date>=20120615

BOSTON RED SOX

CINCINNATI REDS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTKC001 The Royals are 0-17 ($+1,700) since August 2006 after a loss

where the teams combined for at least 20 runs. team = Royals and date>= 20060801 and p:runs + po:runs>=20 and p:L

KC002 The Royals are 0-12 ($+1,200) since 2006 when facing a team which has scored over 10 runs per game the past three games and allowed no more than five runs last game.

team=Royals and season>=2006 and oA(runs, N=3)>10 and opo:runs<=5

KC003 The Royals are 9-0 (+$1,085) since June 10, 2014 as a dog of at least +100 coming off a win as a favorite.

team=Royals and line>=100 and p:FW and date>=20140601

KC004 The Royals are 0-7 (+$705) since 2005 after a loss where they scored more than three runs and led by at least two runs after eight innings.

team=Royals and season>=2005 and p:M8>=2 and p:L and p:runs>=4

KC005 The Royals are 0-8 OU since June 2014 when they allowed at least 10 runs last game.

team = Royals and date>=20140601 and po:runs >= 10

STR026 Jeremy Guthrie has produced a team record of 0-11 (+$1,100) since May 28, 2008 as a home dog of less than 165 when he lost as an away dog in his last start.

starter=Jeremy Guthrie and date>=20080528 and HD and line<165 and s:ADL

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTCOL001 The Rockies are 0-16 (+$1,600) since 2004 as a dog of +125-

+200 in the second game of a series vs a NL opponent that has won at least their last four games.

team=Rockies and 200>=l ine>=125 and conference=o:conference and 4<=o:streak and series game=2

COL002 The Rockies are 12-0 (+$1,200) in database history as a 130+ favorite vs a team that has won at least their last four games.

team=Rockies and line<=-130 and 4<=o:streak

COL003 The Rockies are 11-0 (+$1,120) since August 21, 2011 at home with a total of at least seven after an extra inning win.

team=Rockies and H and total>=7 and p:XW and date>=20110821

COL004 The Rockies are 0-10 (+$1,000) since April 27, 2013 on the road as a dog of more than +120 after a win in which they allowed 6 or fewer hits and it is not the last game of a series.

team=Rockies and A and line>120 and po:hits<=6 and p:W and SG!=SGS and date>=20130427

COL005 The Rockies are 0-15 OU since 2005 with a total of at least eight, after losing by double-digits last game while scoring two or fewer runs.

team=Rockies and season>=2005 and p:margin<=-10 and p:runs<=2 and total>=8

STR025 Jorge De La Rosa has produced a team record of 12-0 (+$1,210) since July 25, 2009 when the team is seeking immediate revenge for a loss as a favorite.

starter=Jorge De La Rosa and p:FL and SG>1 and date>=20090701

COLORADO ROCKIES

KANSAS CITY ROYALS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTMIN001 The Twins are 20-0 ($+2,000) since 2004 as a favorite of

more than -110 in the third game of a three-game series in which they lost the first two and were a favorite last game.

team=Twins and line<-110 and SG=3 and LGS and p:F and streak<=-2

MIN002 The Twins are 0-12 (+$1,223) since 2011 following a game where they trailed by at least four runs after the first inning and score less than seven runs.

team=Twins and p:M1<=-4 and p:runs<7 and season>=2011

MIN003 The Twins are 0-11 (+$1,100) since May 15, 2008 as a home dog after a loss by more than a run in which they did not draw a walk.

team=Twins and HD and p:walks=0 and p:margin<-1 and date>=20080515

MIN004 The Twins are 7-0 (+$765) in database history when they’ve won three straight games by at least four runs each.

team=Twins and season>=2008 and p:margin>=4 and pp:margin>=4 and ppp:margin>=4

MIN005 The Twins are 11-0 OU since April 25, 2005 as a favorite of less than -170 when they are off a walk off loss and it did not come yesterday against a different team.

team=Twins and -170<line<=-110 and po:WOW and (rest>0 or SG>1) and date>=20050425

STR028 Phil Hughes has produced a team record of 19-0 (+$1,900) since September 17, 2007 as a 200+ favorite pitching on less than 10 days rest.

starter=Phil Hughes and line<=-200 and starter rest<10 and date>=20070917

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTDET001 The Tigers are 0-18 (+$1,800) since July 2007 on the road

as a dog of at least +100 in the regular seaosn, after a loss vs. this team where they allowed at least 13 hits.

team=Tigers and date>=20070701 and A and line>=100 and po:hits>=13 and p:L and SG>1 and playoffs=0

DET002 The Tigers are 15-0 (+$1,500) since August 2005 as a road 140+ favorite vs a team that has lost at least their last four games and scored 1-6 runs last game.

team=Tigers and A and line<=-140 and o:streak<=-4 and 6>=op:runs>=1 and date>=20050801

DET003 The Tigers are 0-10 (+1,030) since May 2005 on the road after a loss as a home dog where they had no more than eight hits.

team=Tigers and A and p:HDL and p:hits<=8 and date>=20050506

DET004 The Tigers are 0-9 (+$1,289) since May 2014 as a favorite after a loss in which they had fewer than five team-left-on-base and were not shutout.

team=Tigers and F and p:TLOB<5 and p:L and p:runs>0 and date>=20140501

DET005 The Tigers are 0-14 OU since July 2007 as a dog of no more than +150 after allowing 6+ runs in a win.

team=Tigers and 150>=line>=100 and 6<=po:runs and p:W and date>=20070701

STR027 Justin Verlander has produced a team record of 0-13 (+$2,176) since 2013 as a 130+ favorite after recording more strike outs than hits allowed on the road last game.

starter=Justin Verlander and line<=-130 and s:SSO>s:SHA and s:A and date>=20130407

DETROIT TIGERS

MINNESOTA TWINS


STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTNYY001 The Yankees are 12-0 (+$1,200) since 2005 as a favorite

after a game where their opponent stranded 14+ on base as a team and had more than three walks.

team=Yankees and F and po:TLOB>=14 and po:walks>3

NYY002 The Yankees are 0-11 (+$1,100) since September 2013 as a home dog after a loss.

team=Yankees and HD and p:L and date>=20130901

NYY003 The Yankees are 0-10 (+$1,415) in database history when they scored 3+ runs but left 15-17 men on base as a team last game while striking out more than five times.

team=Yankees and p:runs>=3 and 17>=p:TLOB>=15 and p:strike outs>5

NYY004 The Yankees are 9-0 (+$900) in database history if they’ve lost by at least six runs in each of the last two games and did not allow more than 12 points last game.

team=Yankees and p:margin<=-6 and pp:margin<=-6 and po:runs<=12

NYY005 The Yankees are 0-12 OU since September 2011 when they are not favored by -150 or more after a one run loss in the last game of a series where they had more than five hits.

team = Yankees and date >= 20110901 and p:margin=-1 and SG=1 and line>-150 and p:hits>5

STR030 CC Sabathia has produced a team record of 13-0 (+$1,300) since May 8, 2009 vs a team that has averaged fewer than six strikeouts per game.

starter=CC Sabathia and oA(SO)<6 and date>=20090508

STARTER TREND

TREND ID TREND DESCRIPTIONS SDQL TEXTCWS001 The White Sox are 0-17 (+$2,015) since July 2006 in the

last game of a series vs an AL opponent when they are off a win in which they scored in at least five separate innings and they were not a dog of more than 150.

team=White Sox and p:SII>=5 and LGS and p:W and p:conference = po:conference and p:line<150 and 20060701<=date

CWS002 The White Sox are 13-0 (+$1,325) since October 2004 past the first 15 games of the season when they’ve won two straight games by at least six runs each.

team=White Sox and date>=20041001 and p:margin>=6 and pp:margin>=6 and wins+losses>=15

CWS003 The White Sox are 11-0 (+$1,280) since September 2007 if not favored by -200 or more, when they are coming off a win where they trailed by more than a run after seven innings.

team=White Sox and date>=20070901 and line>-140 and p:M7<=-2 and p:W

CWS004 The White Sox are 10-0 (+$1,000) since July 2005 as a road favorite after a game as a home dog.

team=White Sox and AF and p:HD and date>=20050725

CWS005 The White Sox are 9-0 OU since May 2014 vs a team that has won at least their last two games and it is the first game of a series.

team=White Sox and 2<=o:streak and SG=1 and date>=20140501

STR029 John Danks has produced a team record of 0-8 (+$958) as a favorite after winning as a road dog of more than +120 last game.

starter=John Danks and F and s:AW and s:line>120

CHICAGO WHITE SOX

NEW YORK YANKEES


BONUS TOTAL TRENDSTREND ID TREND DESCRIPTIONS SDQL TEXTBON026 The Blue Jays are 16-0 OU since August 28, 2009 as a 140+

dog with a total under 10 after scoring 3 runs or less and winning.

team=Blue Jays and total<10 and 140<=line and po:runs<p:runs<=3 and date>=20090821

BON027 The Cardinals are 13-0-1 OU since 2014 when facing a starter with an ERA under 1.80.

team = Cardinals and season >= 2014 and o:STDSERA<1.80

BON028 The Phillies are 13-0 OU in since 2004 in day games as a 125+ dog in the first 150 games of the year, when won while drawing at least five walks last game.

team=Phillies and DAY and line>=125 and 5<=p:walks and p:W and wins+losses<=150

BON029 The Athletics are 10-0 OU since April 17, 2012 as a dog of at least +105 with a total of over six when they are off two losses in which they never led.

team=Athletics and line>=105 and total>6 and p:BL=0 and pp:BL=0 and date>=20120417

BON030 The Pirates are 0-14 OU since September 7, 2009 as a home 135+ dog and it is the first game of the series.

team=Pirates and H and 135<=line and SG=1 and 20090907<=date

BON031 The Indians are 0-14 OU since April 9, 2006 as a home dog when they are off two wins in which they never trailed and it is not the first game of a series.

team=Indians and HD and po:BL=0 and ppo:BL=0 and SG>1 and date>=20060409

BON032 The Rangers are 0-13 OU since September 20, 2008 with a total of at least seven against AL teams if they allowed at least 13 runs last game.

team=Rangers and date>=20080920 and conference=o:conference and po:runs>=13 and total>=7

BON033 The Diamondbacks are 0-12 OU since April 30, 2013 when they had 3+ home runs last game and did not have 3+ home runs two games ago.

team = Diamondbacks and date>=20130430 and p:home runs >= 3 and pp:home runs<3

BON034 The Royals are 0-11-1 OU since 2007 when they scored at least 13 runs last game.

team=Royals and season>=2007 and p:runs>=13

BON035 The Mariners are 0-10 OU since August 4, 2013 when they left at least 11 runners on base as a team and did not lose by 4+ runs.

team = Mariners and date>=20130804 and p:TLOB >= 11 and p:margin>-4

KILLERSPORTS.COM MLB BONUS TOTAL TRENDS

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COPYRIGHT NOTICE All the material in this publication is copyrighted by the United States Government. No part of this periodi-cal may be reproduced in any form by any means, electronic or mechanical, including photocopying, and electronic recording without written consent from Killer Sports Publishing. All information is believed to be accurate as of March 2015. If the reader has any questions or comments about this newsletter, please write us at: Killer Sports Publishing or e-mail us at: PO Box 862, Berea OH 44017 [email protected]

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JULY 26, 2014

Featuringthe SDQL

Presented By SportsBook BreakersDAILY MLB TIPSHEET

SBB’S SDQL SU TREND OF THE DAY:

The Pirates are 11-0 since May 29, 2014 when they are off a loss in which they never led and allowed more than two

runs for a net profit of $1165.

SDQL TEXT: team=Pirates and p:BL=0 and p:L and po:runs>2 and date>=20140529

SBB’S SDQL PITCHER TREND OF THE DAY:

When Clayton Kershaw starts the Dodgers are 10-0 since July 02, 2013 as a road 140+ favorite after his team won

the last time he started for a net profit of $1000.

SDQL TEXT: starter=Clayton Kershaw and A and line<=-140 and s:W and date>=20130702

MLB BIBLE ACTIVE TREND :

The Marlins are 0-12 ($+1,350) since 2010 if their opponent has allowed at least 11 hits in each of the last three games.

SDQL TEXT: team=Marlins and season>=2010 and opo:hits>=11 and oppo:hits>=11 and opppo:hits>=11

SBB’S SDQL CHOICE TREND:

The Orioles are 0-9 since August 10, 2013 after an extra inning win and it is not the first game of a series for a net profit of

$1095 when playing against.

SDQL TEXT: team=Orioles and p:XW and SG!=1 and date>=20130810

TODAY FROM SBB:SPORTSBOOK BREAKERS MLB passed

Friday. SBB has two solid plays in the MLB Saturday starting in late afternoon action with a 4-STAR Side of the Day and a 4-STAR Value Side. Get both for just $15 in web debit value or purchase individually.

SPORTSBOOK BREAKERS has a strong track record of winning football selections and has its season packages for both NFL

and NCAA now available at Killercappers.com

KILLERSPORTS.COM ACTIVE TRENDS:

When Julio Teheran starts the Braves are 13-1 since May 20, 2013 as a favorite after his team lost the last time he started

for a net profit of $1170.

SUBMIT YOUR TRENDS:Killersports.com is a collected effort of smart, savvy individuals

looking to capitalize in the world of sports and those efforts include you! This is a group effort and in this section we want you to team up and provide each other with the best informa-tion possible! Submit your best and most interesting trends to [email protected] and when they are active, will will publish them in this section and credit you as the mastermind behind a great MLB find.

USER Submitted: NONE

Note: It is not SportsBook Breakers recommendation to make plays based solely on one trend (our selections at killercappers.com don’t). Weigh these trends along with other factors accordingly.

2 | www.KillerSports.com

Away Home Time Away Starter Home Starter National TV

Toronto N.Y. Yankees 1:05 pm Hutchison (6-9) - 4.54 ERA Capuano (1-1) - 4.55 ERA MLB

Washington Cincinnati 4:05 pm Gonzalez (6-5) - 3.74 ERA Cueto (10-6) - 2.18 ERA FOX Sports 1

St. Louis Chi. Cubs 4:05 pm Miller (7-8) - 4.25 ERA Arrieta (5-2) - 2.12 ERA

Baltimore Seattle 4:10 pm Norris (8-6) - 3.78 ERA Young (8-6) - 3.22 ERA

Arizona Philadelphia 7:05 pm Collmenter (8-5) - 3.64 ERA Lee (4-5) - 3.67 ERA

Chi. White Sox Minnesota 7:10 pm Sale (9-1) - 2.03 ERA Darnell (0-0) - 0.00 ERA

San Diego Atlanta 7:10 pm Despaigne (2-1) - 1.31 ERA Teheran (9-6) - 2.64 ERA

Cleveland Kansas City 7:10 pm McAllister (3-5) - 5.28 ERA Guthrie (5-9) - 4.56 ERA FOX Sports 1

Miami Houston 7:10 pm Koehler (6-7) - 3.85 ERA Cosart (9-6) - 4.23 ERA

Boston Tampa Bay 7:10 pm Lackey (11-6) - 3.66 ERA Hellickson (0-0) - 2.08 ERA

N.Y. Mets Milwaukee 7:10 pm Niese (5-5) - 3.13 ERA Peralta (11-6) - 3.58 ERA

Oakland Texas 8:05 pm Gray (11-3) - 2.72 ERA Tepesch (3-6) - 4.87 ERA

Pittsburgh Colorado 8:10 pm Locke (2-1) - 3.05 ERA Matzek (1-4) - 4.91 ERA MLB Regional

L.A. Dodgers San Francisco 9:05 pm Kershaw (11-2) - 1.92 ERA Vogelsong (5-7) - 3.99 ERA MLB Regional

Detroit L.A. Angels 9:05 pm Verlander (9-8) - 4.84 ERA Shoemaker (7-3) - 4.54 ERA

Today’s MLB Schedule

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