In my last post, I discussed Pete Palmer’s Linear Weights
formula. I showed how it could be used
to estimate the number of runs produced by a men’s fastpitch softball team.
In this post, I will look at a similar idea of linear
weights to evaluate a pitching staff. Then
I will use the linear weights to balance the innings assigned to each pitcher to
minimize the runs given up by a men’s fastpitch softball team.
I took the pitching statistics for the primary pitchers in a
local men’s fastpitch softball league. I
calculated various pitching statistics in terms of their values per inning. Then I used multiple linear regression to
estimate the runs allowed per inning pitched as a function of hits allowed
(non-homeruns), walks (base on balls and hit by pitch), strikeouts, and
homeruns allowed per inning pitched.
Here is the data that I used.
Pitcher
|
Hits
|
Walks
|
Strikeouts
|
Homeruns
|
Runs Allowed
|
1
|
1.05
|
0.42
|
1.32
|
0.08
|
0.58
|
2
|
1.23
|
0.57
|
0.91
|
0.16
|
1.25
|
3
|
1.49
|
0.47
|
1.24
|
0.17
|
1.18
|
4
|
0.79
|
0.26
|
1.44
|
0.12
|
0.32
|
5
|
0.83
|
0.68
|
1.43
|
0.00
|
0.48
|
6
|
1.03
|
0.34
|
1.52
|
0.08
|
0.76
|
7
|
1.09
|
0.34
|
1.07
|
0.10
|
0.73
|
8
|
1.13
|
0.54
|
1.02
|
0.17
|
1.22
|
9
|
1.42
|
0.46
|
0.46
|
0.07
|
1.05
|
10
|
1.31
|
0.20
|
0.76
|
0.06
|
0.71
|
11
|
1.09
|
0.76
|
1.27
|
0.15
|
0.97
|
12
|
1.19
|
0.65
|
1.19
|
0.11
|
0.98
|
13
|
0.46
|
0.33
|
1.77
|
0.06
|
0.40
|
14
|
1.15
|
0.66
|
0.66
|
0.16
|
1.23
|
The formula that I obtained from the linear regression is
Runs Allowed = 0.42*Hits + 0.55*Walks – 0.14*Strikeouts +
2.36*Homeruns
Pitchers 1, 2 and 3 are on the same team.
I wanted to balance the number of innings between the three
pitchers. I found that one good way to
do that was to equalize the runs allowed by each pitcher.
Here are the results.
Weight
|
0.42
|
0.55
|
-0.14
|
2.36
|
||
Games
|
Innings
|
Hits
|
Walks
|
Strikeouts
|
Homeruns
|
Runs Allowed
|
9
|
60
|
1.05
|
0.42
|
1.32
|
0.08
|
40
|
5
|
37
|
1.23
|
0.57
|
0.91
|
0.16
|
40
|
5
|
36
|
1.49
|
0.47
|
1.24
|
0.17
|
40
|
19
|
133
|
120
|
So the manager should plan to throw pitcher 1 for 60 innings
or the equivalent of 9 games during the season. Pitchers 2 and 3 would be expected to throw 37
and 36 innings respectively which represents approximately 5 games each.
The entire ptiching staff would be expected to allow 120 runs during
the season.
I can now use the expected offensive production of the
batters on the team from the previous post and the expected runs allowed by the
pitchers shown here in the Pythagorean formula to estimate the winning
percentage of the team during the regular season.
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