In an earlier post, I discussed the
Pythagorean formula for estimating winning percentage from runs for
and runs against.
In this post, I will use the
Pythagorean formula to determine the necessary improvement the
last place team in a league would need to make to move up in the standings.
There were seven teams in the league
and I found the average and standard deviaton of the winning
percentages for the league. Then based on the rank, I found the
percentile for the inverse normal distribution. Then based on the
percentile and the average and standard deviation, I found the
expected winning percentage for each of the teams in the league.
I assumed that the last place team would need to improve their offensive and their defensive equally to move up in the standings. That is, the runs
for would need to increase and the runs against would need to
decrease by the
same amount.
rank | percentile | win pct | runs for | runs against | change |
1 | 0.88 | 0.636 | 119 | 90 | 29 |
2 | 0.75 | 0.580 | 113 | 96 | 23 |
3 | 0.63 | 0.538 | 109 | 100 | 19 |
4 | 0.50 | 0.500 | 105 | 105 | 15 |
5 | 0.38 | 0.462 | 101 | 108 | 11 |
6 | 0.25 | 0.420 | 96 | 113 | 6 |
7 | 0.13 | 0.364 | 90 | 119 | 0 |
Thus if the top four teams of the seven
team league make the playoffs, the last place team from 2012 would
have to increase their runs for by 15 and decrease their runs against by
15 in 2013.
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