Archive for the 'Stats' Category

Based on a database created a few months ago, Chris looks for some context-dependent similarity scores to compare offensive seasons with each other.

Teams that made the playoffs despite losing one of their best players.

Those of us who are both (a) familiar with the concept of Pythagorean record; and (b) kind of glib and lazy about our use of sabermetric terminology, have often, at least subconsciously, used it as a synonym for luck. But is it really? Sam Miller at the OC Register isn’t so sure. A block quote […]

Examining home run rates and batting average on fly balls and line drives

How does NCAA Division 3 compare to Division 1?

A look at something that OPS overlooks. Or, why Miguel Tejada is not Grady Sizemore.

Tango’s projection-based picks outperformed fan selected clutch players in high leverage situations, but not by as much as expected.

Another look at batted balls finds that pitchers have trouble getting hitters to hit the ball to fielders.

Putting small-college baseball in context.

First it was baseball with Moneyball, and then football with The Blind Side. Now Michael Lewis focuses his attention on the undervalued in the world of basketball: The virus that infected professional baseball in the 1990s, the use of statistics to find new and better ways to value players and strategies, has found its way […]