Leverage index was a statistic invented by Tom Tango that measures the importance or pressure of a situation in a baseball game. An average leverage index is 1.0 and anything higher than that indicates that the current state is an above average pressure situation. I used my simulator to determine what the average leverage index was for when there were 0, 1 and 2 outs in any inning of a game. I then used the simulator to also determine the average leverage index for each half inning of a game. The results are below. For these simulations I used a few random games so results could be slightly different running other games but the trends should be similar. The results are that you generally see higher leverage situations the lower the number of outs are and you also tend to see higher leverage situations later in the games. Those conclusions may be obvious but at least you can get a visual image of it. Five millions games were simulated.
Table 1
Average Leverage Index Based on Outs State
Outs | Average LI |
---|---|
0 | 1.159 |
1 | 1.083 |
2 | 0.952 |
Table 2
Average Leverage Index Based on Half Inning of Game (0=Top of first, 1=Bottom of first etc...)
Inning | Average LI |
---|---|
0 | 0.913 |
1 | 0.906 |
2 | 0.897 |
3 | 0.902 |
4 | 0.909 |
5 | 0.930 |
6 | 0.970 |
7 | 0.996 |
8 | 0.990 |
9 | 1.009 |
10 | 1.038 |
11 | 1.065 |
12 | 1.065 |
13 | 1.085 |
14 | 1.091 |
15 | 1.164 |
16 | 1.123 |
17 | 1.968 |
18 | 2.437 |
19 | 2.727 |
Graph of Table 2
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