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The Record

We show our work — losses included.

Every pick is logged before it plays and graded in public. This is the whole receipt drawer: how often the model is right, whether it beats the closing line, how close its DFS projections land, and how its draft board has held up over a replayed decade. No cherry-picking — and the rules we grade ourselves by are written down on how we grade.

56.6%

Documented accuracy

258/456 graded picks · last 30d

+0.13%

Avg closing-line value

across 376 graded picks

7-3

Draft board vs the market

10 replayed drafts, losses published

Game predictions

Model win-probability accuracy, last 30 days.

LeagueAccuracyGradedAvg conf.Brier
MLB56.7%40956.9%0.2396
NFL55.3%4761.6%0.2564

Brier score measures calibration (lower is better; 0.25 = a coin flip). How the model works → · Browse day-by-day results →

Closing-line value

Did the market move toward our pick after we logged it? Positive = we beat the close.

MLB

+0.14%

45.6% positive · n=375

NFL

-3.11%

0% positive · n=1

CLV accrues statistical signal faster than win/loss — it's the honest early read on whether the model moves markets' direction.

DFS projections

Projected vs actual DraftKings points.

LeagueMAECorr.Floor hitCeiling holdGraded
MLB5.350.30962.6%91.6%8156

MAE = average points off per player. Lower is better; a mid-single-digit MAE with near-zero bias is a genuinely sharp projection.

Draft board

A decade of replayed drafts, graded against actual fantasy production.

7-3

vs ADP over 10 drafts (PPR)

+0.779%

avg edge vs the market

+2.49%

2024 (latest graded)

The 10-year extension showed the model is market-neutral over the full decade with its wins concentrated recently — we publish that honestly, not a cherry-picked window. See the live board →

This is the whole point.

Anyone can post winners after the fact. Verdexed logs every call before it plays and grades it in public — so you never have to take our word for it.