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mlb projections

box scores

Per-batter and per-pitcher projections for every game in the window, defaulting to today's slate. Ridge regression per role and stat, on a five-feature substrate.

how these are projected

batters… · pitchers (near-term)… · window…

Batter Projections

today's slate · sorted by total bases
Resolve MLB per-game box-score projections. Click a column to sort.
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Methodology

ridge per (role × stat)

Inputs: 5-feature substrate (recent rate, season rate, opp baseline, park factor adjacency, role/lineup). Trained on prior seasons + in-season catchup.

Output grain: per (player × game) — i.e. an explicit row for each scheduled appearance in the window. Batters are projected across the full schedule; pitchers are constrained to the near-term probable cohort (~78 rows / ~2-3 days), expanding in v2 to full rotation modeling.

What this is NOT: not a season-aggregate (use the team page for that), not a starter-only filter (lineup composition matters — bench bats have rows too). The number is the model's best estimate of the per-game stat line.

v2 roadmap (banked): rotation modeling (expand pitcher cohort beyond probables), lineup × pitcher-handedness, park factors + weather (substrate exists), per-projection CI from Ridge variance + holdout MAE.