This year’s College World Series will always be remembered because of what
Four different games were run with a significant amount of runs scored in the ninth inning (Stanford over Florida State, Georgia over Miami, LSU over Rice, UNC over LSU) and two other ninth-inning rallies fell just short (Florida State against Miami and Stanford against Georgia). Talented and experienced teams were making mistakes, while those in danger of losing refused to go down without a fight.
I performed an analysis of the total scoring breakdown in the 2008 College World Series to see if there were significantly many runs being scored in the last inning as opposed to occurring from random chance. To do this, I used a Chi-Square Goodness-of-Fit test and assumed that the runs scored should be evenly distributed across all of the innings. This should mean each inning should expect to hold approximately 1/9 of the total runs scored…but actually it’s a little more complicated in that.
If the home team is winning in the ninth inning they do not get a turn to bat, so I adjusted for this by multiplying 1/9 by 23/32 (the proportion of total ninth inning half-innings that were actually played out throughout the CWS) to get the proportion of total runs expected in the ninth inning. Then the rest of the runs should be spread out evenly across the first eight innings.
Here is the table summarizing the results of the test:
Inning | Runs Scored | Proportion Expected | Runs Expected | Chi-Square Contribution |
1 | 14 | 0.115017 | 23.0035 | 3.5239 |
2 | 11 | 0.115017 | 23.0035 | 6.2635 |
3 | 28 | 0.115017 | 23.0035 | 1.0853 |
4 | 33 | 0.115017 | 23.0035 | 4.3442 |
5 | 21 | 0.115017 | 23.0035 | 0.1745 |
6 | 20 | 0.115017 | 23.0035 | 0.3922 |
7 | 18 | 0.115017 | 23.0035 | 1.0883 |
8 | 25 | 0.115017 | 23.0035 | 0.1733 |
9 | 30 | 0.079861 | 15.9722 | 12.32 |
Total | 200 | 1 | 200 | 29.6352 |
The test results in a p-value of 0 to three decimal places, meaning that if runs were really distributed evenly across each inning, then the run distribution observed in this year’s College World Series could essentially never happen.
Looking at the table, it is easy to see which inning messes up the distribution the most: the ninth inning. There were 14 more runs scored than we would expect, and the ninth inning by itself generated 42% of the overall chi-square statistic. For those with no statistics background, the larger the chi-square statistic is the further the results are from expected.
For whatever reason, teams scored way more runs in the ninth inning than we would expect. One team in particular, Stanford, scored 15 runs (half of the total for all teams) in the ninth inning. What is even more interesting is that
I decided to break
Inning | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | Total |
Runs | 1 | 7 | 9 | 17 | 9 | 10 | 3 | 6 | 0 | 62 |
So while the rest of the field was scoring a lot of runs in the last inning of games,
One can only guess at why other teams scored so many runs at the end of games, but one possible explanation could be the national stage that all of these games were on. College Baseball is very rarely televised until the post-season, and usually not made into a focus of media attention until the teams reach
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