Nothing is worse than false precision — a sign on an outfield fence that says both "400 feet" and "121.92 meters", for instance. That distance from home plate was not measured to a fraction of an inch! It may even be off by several feet. Likewise, something's fishy when a chart purports to show the win probability of a team during a game but contains abrupt wiggles and arbitrary fine structure. For example:

Or even wackier:

What's being graphed is, in fact, the result of looking up how ballclubs did during the past decade or so in seemingly-similar situations. Home teams that are ahead 3-2 in the bottom of the sixth inning, say, with two outs and no one on base, maybe have won 1367 times and lost 496 times. So the chart shows a 73% chance of success.

That's clever but bad, for multiple reasons. It ignores a host of important factors, both micro *(who's pitching? who's coming up to bat? who's injured? ...)* and macro *(what are the average strengths of the teams in today's game? what features of the ballpark affect overall offense and defense? ...)*. Worse, the table-lookup approach relies on small-number statistics yet ignores the big fluctuations in those numbers due to sampling error. Toss 100 coins, and you're not likely to get exactly 50 heads and 50 tails; the square-root-of-N rule says that you'll probably be within plus or minus 10 of the expected value. And still worse, the past-experience method of baseball handicapping requires big databases and can't be done spur-of-the-moment on the back of an envelope or the label of a beer bottle.

So how* should *one estimate a team's chances during a game? I've started working on that

- fraction of the game remaining
- current score for each team
- average runs/game produced by each team

Ideally a good win-probability formula should be simple to evaluate, should roughly match the table-lookup method, and should approach the following boundary case values:

- the stronger team will win if the game goes on long enough, regardless of the current score
- the team which is ahead will win if the game is near enough to its end, regardless of relative team strengths
- both teams have roughly equal chances if they are equally strong and the score is tied

What other mathematical features should a baseball odds-making system exhibit? Are there other inputs that should be considered? How should the formula be adjusted to align with past experience? What is the proper trade-off between simplicity and accuracy?

*(sample charts from Washington Post coverage of Washington Nationals baseball, reputedly based on http://winexp.walkoffbalk.com/expectancy/search ; cf. ProbabilisticTragedy (12 Mar 2003), DrawingTheLine (11 Jul 2004), SquareRootOfBaseball (13 May 2005), InTheBigInning (31 Jan 2006), ...)*

TopicRecreation - TopicScience - Datetag20070421

*(correlates: VeryGood, 2 Comments on Unknown Knowns, Normal Distribution, ...)*