dfsforge / MLB forecasts

MLB stat forecasts

Sports: NFL · MLB · NBA · WNBA
Point estimates hide the shape. Every forecast below is a full outcome distribution - median, range, and the probability of clearing a line - learned from game logs and validated on a held-out season.
Plain English: instead of one guess per player, we publish the whole spread of likely outcomes - like a weather forecast that says "high of 75, probably between 68 and 82" instead of just "75". Click a stat below to expand it, then click a player for their full forecast page.

Strikeouts (Pitcher)FITTED

A pitcher's strikeouts per start - the highest-leverage pitching stat.
Top 25 by latest-season per-game average · holdout 80% coverage 81%.
PlayerPosTeamAvg/gm80% range
Jacob MisiorowskiPMIL9.25.9-12.6
Dylan CeasePTOR8.55.2-11.9
Cristopher SánchezPPHI7.64.3-11.0
Chris SalePATL7.34.0-10.7
Tyler GlasnowPLAD7.03.7-10.4
Bryce MillerPSEA6.93.6-10.3
Gavin WilliamsPCLE6.93.6-10.3
Cam SchlittlerPNYY6.83.5-10.2
Jesús LuzardoPPHI6.83.5-10.2
Chase BurnsPCIN6.83.5-10.2
Tarik SkubalPDET6.83.5-10.2
Jacob deGromPTEX6.83.5-10.2
Braxton AshcraftPPIT6.83.5-10.2
Nolan McLeanPNYM6.63.3-10.1
Paul SkenesPPIT6.63.3-10.0
Reid DetmersPLAA6.63.3-10.0
Nathan EovaldiPTEX6.53.2-9.9
Zack WheelerPPHI6.53.2-9.9
Hunter BrownPHOU6.43.1-9.8
Kyle HarrisonPMIL6.43.1-9.8
Taj BradleyPMIN6.43.1-9.8
Logan GilbertPSEA6.33.0-9.7
Joe RyanPMIN6.33.0-9.7
Parker MessickPCLE6.22.9-9.6
Max MeyerPMIA6.22.9-9.6
Forecasts are probability distributions from dfsforge's variance model, fitted on historical game logs and validated on a held-out season - the coverage number printed above is that holdout result, not a training-set fit. Research output, not advice. Open the app · Accuracy receipts