A repository for stats I still care about
The Ides of March are come – but not yet gone. As a round of cuts hits the spring teams, I don’t have cuts – I have adds. I’ve been digging through a slew of other stats, and now have translations up for – get this – 17 leagues not previously listed for 2016. I’ve … Read more
Similar to the last one, for hitters. I believe I used a 50 IP requirement, with a caveat for anyone projected to get at least 5 saves. There were 229 pitchers in the totals. Just going to drop everything in at once, starting with 2016’s best. Pecota really killed it on pitchers last year, particularly … Read more
When it comes to trying to determine who had the most accurate projections, there are a lot of things to consider. And, if you try to consider them all, you won’t have a post – you’ll have a book. You can use straight statistics, or you can bias-adjust. You can use whole stats. Rate stats. … Read more