Probabilistic Model of Range David F. Pinto Baseball Musings .
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Transcript of Probabilistic Model of Range David F. Pinto Baseball Musings .
![Page 1: Probabilistic Model of Range David F. Pinto Baseball Musings .](https://reader036.fdocuments.us/reader036/viewer/2022072017/56649efe5503460f94c13c53/html5/thumbnails/1.jpg)
Probabilistic Model of Range
David F. PintoBaseball Musings
www.baseballmusings.com
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Construction of ModelDirection
Trajectory (Ground, Fly, Line)
Speed
Handedness, Batters and
Pitchers
Park
p(out|D,T,S,B,P,PK)All Fielders
p(out|D,T,S,B,P,PK)Visiting Fielders
p(out|D,T,S,B,P,PK)Smoothed
Weighting:Visit in Play > 0.5 ThenVisit In PlayElse2*Visit in Play/All in Play
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History of Fielding Stats
• Assists, Putouts, Errors, Fielding Percentage, Games at position
• No Context• Range Factor (Assists + Putouts)/Game• Last 1980s (Assists + Putouts)/(9 Innings)• Zone Rating• Ultimate Zone Rating (UZR), PMR
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Errors Keep Disappearing
1900 1920 1940 1960 1980 20000.920
0.930
0.940
0.950
0.960
0.970
0.980
0.990
Fielding Percentage Over Time
FPCT
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Defensive Efficiency Rating
• DER measures the probability that a fieldable ball in play results in at least one out.
• Similar to 1- BABIP (BA on Ball in Play)• BABIP does not account for safe on errors,
safe on failed fielder’s choice.• Major League DER in 2007, 0.686.
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DER by Vector
3B LF CF RF 1B 0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
In Play
In Play
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DER by Vector, Groundballs
3B RF CF RF 1B 0.00.10.20.30.40.50.60.70.80.91.0
DER
DER
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DER by Batted Ball Type
Bunt Fly Fly Bunt Grounder
Grounder Fliner (Fly)
Fliner (Liner)
Liner0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
DER
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DER by Velocity
Soft Medium Hard0.00.10.20.30.40.50.60.70.80.9
Grounders and Low Line Drives
DER
0-99 100-199
200-299
300-399
400+0.00.10.20.30.40.50.60.70.80.91.0
Fly Balls and High Line Drives
DER
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DER by Handedness
Right vs. Right Right vs. Left Left vs. Right Left vs. Left0.665
0.670
0.675
0.680
0.685
0.690
0.695
Batter vs. Pitcher
DER
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DER by Park
Fenway
Park
The Ballpark
in Arlin
gton
Minute M
aid Park
Angel S
tadium of A
naheim
Great Americ
an Ball
park
Yanke
e Stad
ium
Tropica
na Field
Coors Fie
ld
Comerica P
ark
Oriole Park
at Cam
den Yards
Cellular
One Fi
eld
Turner F
ield
AT&T Park
Chase Fi
eld
PETCO Park0.54
0.58
0.62
0.66
0.70
Leftfield Vectors, No Groundballs or Bunts
DER
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Calculating Probabilities
• Use visiting fielders, so one fielder does not dominate.
• Sum total chances and outs for each set of six parameters. Probability = outs/chances.
• Smooth against data for all fielders.• If more than 50% of chances are by visitors,
visitor data get 100% of weight. Else, visitor data weighted by 2*percent of visitor chances.
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Ranking Teams
• Count number of balls in play (BIP).• Count number turned into outs (Outs).• Calculate expected number of outs (Exp),
∑p(out|D,T,S,BH,BP,PK)• Calculate DER (Outs/BIP), Expected DER
(Exp/BIP)• Rank by Difference or Ratio (DER/Exp DER)• 2007 Team PMR Rankings
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Probabilities for Players
3B SS 2B 1B0
0.10.20.30.40.50.60.70.80.9
1
Predicted DER on Grounders for Infielders
Third BaseShortStopSecond BaseFirst Base
• Split up DER for a set of parameters by how many outs are started by a fielding position.
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Range RoversFielder Outs Saved Ratio, 100*DER/Exp. DER
Chris Sampson, P 9 157.55
Yadir Molina, C 5 119.33
Albert Pujols, 1B 40 113.01
Brandon Phillips, 2B 46 110.38
Ryan Zimmerman, 3B 45 111.23
Troy Tulowitzki, SS 50 108.94
Jay Payton, LF 16 107.52
Coco Crisp, CF 31 108.14
Shane Victorino, RF 18 108.72
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StatuesFielder Outs Missed Ratio, 100*DER/Exp. DER
Curt Schilling, P 6 54.40
Victor Martinez, C 2 89.76
Dmitri Young, 1B 23 87.66
Craig Biggio, 2B 25 91.79
Garrett Atkins, 3B 48 86.53
Derek Jeter, SS 41 91.20
Pat Burrell, LF 22 88.75
Bill Hall, CF 20 93.76
Brad Hawpe, RF 20 92.48
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Shortstop Comparison
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Links
• Range Charts• PMR on Baseball Musings