Can we improve on PECOTA’s forecast for a hitter just by looking at which pitches the opposing catcher called?
Can the uncertainty in a player’s projections be projected?
In what direction are voting totals trending for marginal candidates, and are steroids actually to blame?
Looking for evidence of the ‘fastball hitter’.
The error spectrum of projections shows the limitations of analysis, or the progress we can still make.
Constructing a leaderboard that passes the smell test.
Turning a smarter, better plate discipline measure into a leaderboard–and examining what it means.
The problem with zone rates: There’s no zone.
You’ve seen it in a hundred chyrons: The Giants do well against fastballs that come in faster than 95 mph. But the stat is nonsense. Is the idea behind it nonsense, too?
After months of moving downward, the October strike zone is suddenly rising.
When umpires don’t call balls and strikes the way we expect them to, who suffers?
Last week, we found something odd about the way the league started pitching a slumping Oakland. This week, we might have found the reason.
What does it mean that the league suddenly shifted its pitch selection just as the A’s suddenly shifted into a full-scale meltdown?
Can we figure out which teams are best at preventing injuries?
The bigger strike zone has caused more than just increased strikeouts.
If pitchers are telling us which hitters are especially scary, does that make Pittsburgh’s no. 6 hitter one of next year’s top breakout candidates?