01Two-pass GBM + learning ledger
A two-pass gradient-boosted model with a learning-ledger error-attribution layer feeding the second pass, plus a per-market meta head that fades the biggest raw-edge-vs-book picks (the far-alt traps) and keeps the high-confidence ones.
Core2-pass GBMLayerLearning ledgerHeadPer-market meta
02Structural under-lean
The edge is structural, not a placebo: books over-price the OVER on counting props, so the UNDER is systematically underpriced. The full player-prop book holds +5.78% out of sample on the realizable-price-corrected close, with runs and RBI the strongest meta markets.
Hold+5.78%EdgeUnder-leanMetaRuns · RBI
03Awaiting the go-ahead
The model is promotion-ready, judged on walk-forward plus a held-out late window. It comes online as its own tier on the go-ahead — until then no MLB pick or record is published here. Fail-closed, same as every channel.
StatePromotion-readyPublic slateNot yet
Backtest · deployable = TEST + 2026 holdout
PoolTest2026Last 30n
TOP 3+26.4%+53.9%+19.9% · n41293
PREMIUM+5.4%+8.6%—2396
TOP 1+29.5%+0.2%-10.8% · n25112
AU over-markets (total_bases, home_runs, runs, rbi, singles, hits) · walk-forward TEST + 2026 holdout