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An in-depth analysis of: The sacrifice bunt, batter/pitcher matchups, the intentional base on balls, optimizing a batting lineup, hot and cold streaks, clutch performance, platooning strategies, and much more. Read Excerpts & Customer Reviews
How do folks reconcile this data with the inability of past studies to find any evidence for catchers' ability to impact ERA? Have there been any WYWY studies of catcher ERA/defense?
Great post. Thanks for the awesome data! It's good to see in one place and to get more of a historical handle on which DIPS deviations are really meaningful. The fact that it takes at least 4 years before less than 50% is regressed is a real eye-opener.
Do you know if anyone has done analysis like this a real "null hypothesis". The one I always think about is Run Support. Each year you see two SP on the same team with about a 2+ gap in RS/G, the kind of gap that if the average fan saw in ERA they would be sure was due to true talent. So, do you guys know if anyone has done a Run Support vs. Teammates study like this one to test how closely the distribution mirrors the bell curve. Of course it should, but if it didn't (beyond the occasional great hitting NL pitcher), that would be a fascinating and very puzzling result.
How do folks reconcile this data with the inability of past studies to find any evidence for catchers' ability to impact ERA? Have there been any WYWY studies of catcher ERA/defense?
Career DIPS numbers (Eric Mulkowsky) —
Great post. Thanks for the awesome data! It's good to see in one place and to get more of a historical handle on which DIPS deviations are really meaningful. The fact that it takes at least 4 years before less than 50% is regressed is a real eye-opener. Do you know if anyone has done analysis like this a real "null hypothesis". The one I always think about is Run Support. Each year you see two SP on the same team with about a 2+ gap in RS/G, the kind of gap that if the average fan saw in ERA they would be sure was due to true talent. So, do you guys know if anyone has done a Run Support vs. Teammates study like this one to test how closely the distribution mirrors the bell curve. Of course it should, but if it didn't (beyond the occasional great hitting NL pitcher), that would be a fascinating and very puzzling result.