Month: February 2015

Yesterday I ran comparisons of several projections systems for an all-inclusive batting statistic, wOBA. Today I’m running the same tests, computing root mean square error (RMSE) and mean absolute error (MAE), for two commonly used fantasy statistics, ERA and WHIP. These tests are bias-adjusted, so what matters is a player’s ERA or WHIP relative to the overall average of that… Continue reading Comparing 2014 Projections – ERA and WHIP

In the past three years I’ve done reviews of baseball projections systems with actual data for those systems for which I could get data. Will Larson maintains a valuable site of projections from many different sources, and most of the sources I’m comparing are from that. As in the past, I’m computing root mean square error (RMSE) and mean absolute error (MAE) for… Continue reading Comparing 2014 Projections – wOBA