Going into the bottom of the 5th inning last night, the San Jose Giants trailed the Visalia Rawhide 4-0, and also were down 2-0 in the best-of-5 series. I was asked "What's the win probability for the game at that point?"
The best way to determine this would be to simulate the rest of the game/series play-by-play, taking into account each player on each team and their respective performance throughout the season. However, I don't quite have my play-by-play simulator ready for baseball (although I'm very close!), so I adapted the simulator I wrote awhile back that simply simulates how many runs are scored in each half-inning. As before, this data was gathered from Baseball-Reference, which shows how frequently 0 runs, 1 run, 2 runs, etc are scored in a half-inning (in MLB in 2015; I'm using this as a proxy for MiLB).
The Giants had to overcome a 4 run deficit in 5 innings. I ran 10,000 simulations, and they only come back to tie the game (or take the lead) by the end of the 9th 2.55% of the time. To ultimately answer the first question, they only win the game 1.78% of the time.
Then there was a followup: "Down 4-0 heading to the bottom of the 5th in a best-of-5 series in which they were down 2 games to none. What was the series win probability at that point?"
We know their odds of winning Game 3 were down to 1.78%, so now we have to determine the odds they subsequently win Game 4 AND 5. Game 4 is at home, while a possible Game 5 would be on the road. Using both teams' second-half records (both finished at .600) in Log5 and factoring in home-field (0.24 runs in MLB) gives San Jose 52.27% to win Game 4 and 47.73% to win Game 5. So the odds of winning both Game 4 and 5 are 24.95%. Finding their series win probability headed into the bottom of the 5th last night is then 1.78% * 24.95% = 0.44%, or about 1 in 225. Even so, that's twice as likely as the Cowboys' comeback over the (New York) Giants on Sunday night.
Given that they did come back and win Game 3 means they're now at 24.95%, or about 1 in 4.
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