paying for performance:

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PAYING FOR PERFORMANCE: A Study of Salary and Performance Statistics in the MLB (During 2010)

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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 Presentation

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Page 1: Paying for Performance:

PAYING FOR PERFORMANCE:

A Study of Salary and Performance Statistics in the MLB

(During 2010)

Page 2: Paying for Performance:

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?)

Page 3: Paying for Performance:

Statistics ExaminedOFFENSE DEFENSE

PCT HR R AVG OPS

PCT SO BB Team ERA

Page 4: Paying for Performance:

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

Page 5: Paying for Performance:

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

Page 6: Paying for Performance:

Winning Percentage: Boxplot

0.60

0.55

0.50

0.45

0.40

0.35

Pct

Winning Percentage in 2010 Regular Season

Page 7: Paying for Performance:

Winning Percentage: Descriptive Stats

N=30 Mean=.501 Median=.500 Standard

Deviation=.0679Minimum=.3520 Pittsburgh

Pirates Maximum=.5990

Philadelphia Phillies

Page 8: Paying for Performance:

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

Page 9: Paying for Performance:

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

Page 10: Paying for Performance:

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

Page 11: Paying for Performance:

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

Page 12: Paying for Performance:

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%

Page 13: Paying for Performance:

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?

Page 14: Paying for Performance:

Sources mlb.com cbssports.com espn.go.com