What real time win probability will allow us to do is see, in real time, how particular actions on the field affect the probability that the Reds will win games. For example, in the above game, while Norris Hopper's 1-out, 1-on single in the 8th inning brought the Reds' win probability up to 30%, Dave Ross's strikeout that followed it dropped it back down to around 20%'s...and Griffey's subsequent home run shot it all the way up to about 80%. While it is interesting to look back on these figures now, I think the real excitement of this system will come when we can finally see these probabilities as they happen. It quite literally might change the way I watch baseball next year. Looking forward to seeing how they implement it.
Wow. That should be fun.
ReplyDeleteMy favorite win probability graph is this one, from the Yankees-Rangers game 5/16/06:
http://tinyurl.com/yu2gs3
The Yanks were down 0-9 by the 2nd inning. But they chipped their way back into it, taking the lead in the 6th, then giving it up, then tying the game. Mariano Rivera gave up the go-ahead double in the 9th. It didn't look good. But Posada hit a 2-run walkoff homer in the bottom of the 9th. Needless to say, the graph looks crazy!
That's a pretty wild romp. :)
ReplyDeleteI always liked this one, just because Adam Dunn's performance was so freaking improbable:
http://jinaz-reds.blogspot.com/2006_06_25_archive.html
:)
-j
Wow. Nothing like a walkoff grand slam.
ReplyDeleteThough the 9/18/06 Dodgers game may be even more improbable. Four consecutive homers to tie it in the 9th, then another homer to win it in the 10th. They said that from the stadium, you could see the line of car lights turn from red to white, as they all turned around to come back.
It ain't over till it's over...