paying for performance:
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Paying for Performance:. A Study of Salary and Performance Statistics in the MLB (During 2010). Topic Questions. How does Team Salary correlate with performance in Major League Baseball? Which Performance Statistics have the strongest correlation to Team Salary? (What are you paying for?). - PowerPoint PPT PresentationTRANSCRIPT
PAYING FOR PERFORMANCE:
A Study of Salary and Performance Statistics in the MLB
(During 2010)
Topic Questions How does Team
Salary correlate with performance in Major League Baseball?
Which Performance Statistics have the strongest correlation to Team Salary? (What are you
paying for?)
Statistics ExaminedOFFENSE DEFENSE
PCT HR R AVG OPS
PCT SO BB Team ERA
Team Salary: Boxplot
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
Payr
oll
Team Salary in 2010
Team Salary: Descriptive Stats N=30 Mean= 91,020,056 Median=
84,325,334 Standard
Deviation= 38,258,046
Minimum= 34,943,000 Pittsburgh Pirates
Maximum= 206,333,389 New York Yankees
Winning Percentage: Boxplot
0.60
0.55
0.50
0.45
0.40
0.35
Pct
Winning Percentage in 2010 Regular Season
Winning Percentage: Descriptive Stats
N=30 Mean=.501 Median=.500 Standard
Deviation=.0679Minimum=.3520 Pittsburgh
Pirates Maximum=.5990
Philadelphia Phillies
Offensive Stats: HR and AVG
260240220200180160140120100
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
HR
Payr
oll
S 37570500R-Sq 6.9%R-Sq(adj) 3.6%
Fitted Line PlotPayroll = 44958298 + 299556 HR
0.280.270.260.250.240.23
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
AVGPa
yrol
l
S 37181991R-Sq 8.8%R-Sq(adj) 5.5%
Fitted Line PlotPayroll = - 1.90E+08 + 1.09E+09 AVG
Offensive Stats: R and OPS
0.8000.7750.7500.7250.7000.6750.650
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
OPS
Payr
oll
S 36465548R-Sq 12.3%R-Sq(adj) 9.2%
Fitted Line PlotPayroll = - 1.79E+08 + 3.72E+08 OPS
900800700600500
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
R
Payr
oll
S 37765146R-Sq 5.9%R-Sq(adj) 2.6%
Fitted Line PlotPayroll = 13037897 + 110686 R
Winning Percentage
0.600.550.500.450.400.35
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
WIN PERCENTAGE
Payr
oll
S 36509811R-Sq 12.1%R-Sq(adj) 8.9%
Fitted Line PlotPayroll = - 6818520 + 1.96E+08 WIN PERCENTAGE
Defensive Stats: BB, SO and Team ERA
5.004.754.504.254.003.753.50
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
Team ERA
Payr
oll
S 38530672R-Sq 2.1%R-Sq(adj) 0.0%
Fitted Line PlotPayroll = 1.44E+08 - 13121778 Team ERA
13501300125012001150110010501000950
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
SO
Payr
oll
S 38383982R-Sq 2.8%R-Sq(adj) 0.0%
Fitted Line PlotPayroll = 16263988 + 65373 SO
600550500450400
$200,000,000.00
$150,000,000.00
$100,000,000.00
$50,000,000.00
BB
Payr
oll
S 38928623R-Sq 0.0%R-Sq(adj) 0.0%
Fitted Line PlotPayroll = 83337245 + 14608 BB
Rankings Offense
OPS=12.3% PCT=12.1% AVG=8.8% HR=6.9% R=5.9%
Defense PCT=12.1% SO=2.8% Team ERA=2.1% BB=0.0%
Conclusion In 2010, Team
Salary had a very weak correlation with PCT and most other performance statics
Overall, Team Salary had a stronger correlation with offensive stats than defensive stats
Things to Consider: How would this
study change over multiple years?
Could Team Salary better predict other performance stats?
If money isn’t helping them win, why do most baseball fans hate the Yankees?
Sources mlb.com cbssports.com espn.go.com