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May 4, 2005 Lies, Damned LiesIntroducing ORVYMany basic baseball strategy decisions involve trade-offs between scoring or preventing one run, and scoring or preventing multiple runs. An intentional walk to a good singles hitter with one out and a runner on second, for example, will decrease the chance that the offense scores one run by reducing the likelihood of a base hit, and by creating a double-play opportunity. But it will increase the chance of a big inning by putting another runner on base, when he'd most likely have made an out if he'd been pitched to. Similarly, the sacrifice bunt and the stolen base are ploys to score one additional run that reduce the chance of a multi-run inning by potentially giving up an out. There are some situations in which the decision to play for one run or multiple runs is straightforward. With the score tied in the bottom of the ninth inning, for example, one run will make all the difference, and teams are correct to employ strategies like the stolen base, sacrifice bunt and intentional walk very liberally. Most of the time, though, the situation is much more ambiguous. To take a couple of examples:
In order to evaluate these questions, we need to consider the probability of a team winning the game given a certain scoring margin and in a certain inning. For example, assuming two sides of average strength, a home team that leads by one run heading into the bottom of the sixth inning will win the game about three-quarters of the time. This estimate, as well as those that will be used throughout the balance of this article, are derived from a model that I created here, which establishes win probabilities based on a historical distribution of MLB run scoring by inning (e.g. a team will score exactly three runs in an inning about 3.5% of the time). We will assume for purposes of this article that both the home and the road teams have average run-scoring and run-prevention abilities. Let's take a look, for example, at the probability that the home team wins the game given a particular scoring margin following the bottom of the seventh inning. The model estimates the home team's winning percentage as follows: Home Team Win Probabilities following 7th inning Score Home Win % +5 runs 98.2% +4 runs 96.3% +3 runs 92.6% +2 runs 86.0% +1 runs 74.1% Tied 50.0% -1 runs 25.9% -2 runs 14.0% -3 runs 7.3% -4 runs 3.7% -5 runs 1.8%In other words, a team trailing by two runs after seven innings will come back to win the game about 14% of the time. Here, derived from the table above, is the marginal benefit to the home team's win probability from scoring exactly one additional run during the bottom of the seventh given a particular scoring margin: Marginal Benefit of One Additional Run for Home Team, after Top of 7th inning Score Home Win % Marginal Increase +5 runs 98.2% -- +4 runs 96.3% +1.9% +3 runs 92.6% +3.6% +2 runs 86.0% +6.6% +1 runs 74.1% +11.9% Tied 50.0% +24.1% -1 runs 25.9% +24.1% -2 runs 14.0% +11.9% -3 runs 7.3% +6.6% -4 runs 3.7% +3.6% -5 runs 1.8% +1.9%As we would anticipate at this stage of the game, there is a profound inflection point around tied scores and one-run margins. A team that trails by one run and ties the score, for example, will go on to win the game about an additional 24% of the time. On the other hand, a team that trails by five runs and scores one run to cut the deficit to four will only win about an extra 2% of the time by making their job somewhat easier in the eighth and ninth innings. All of this should be fairly intuitive.
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