Using logistic regression and random forests to predict when batters will swing and miss.
Finding the answer is as evasive as ever.
Having more and better data will increase the skills of our seers.
More sophisticated contracts call for more sophisticated analysis.
Membership in this prestigious round-number club may soon reach a round number, too.
By these reckonings, it’s all about just showing up.
It wouldn’t take radical changes to make the process fairer, more efficient, and less unpleasant for everyone.
The sabermetric world is ever evolving.
Taking a look at the results of an alternative approach to the Hall of Fame.
We can learn from something even if it isn’t new.
Breaking things down, with some visual aids to assist.
Does heavy postseason work hurt a pitcher the next season?
How to deal with player projections that assume games lost to injury.
Is there a simple answer?
Strand rate can greatly swing from one year to the next, but if we can project the risers and fallers, we’re one step ahead of the competition.
Is it really worth scraping the bottom of the barrel for that third or fourth closer?
Incorporating lessons learned into a comprehensive data package for baseball analysis.
A little education on what this wipe-out pitch can and can’t do.
A look at how and why there were so many big underperforming teams during the 2015 season.
Is it spring yet? No? Okay, here’s how we get you there.