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Bet Data Labs is an independent data and analytics service. We are not a sportsbook and we do not accept wagers. No outcome is guaranteed. Past performance does not predict future results.
Strikeouts 2.5 · MIL · @ LAD · Brewers at DodgersEvery Shane Drohan market tonight →
About ACC Our plays in this bucket (MLB strikeouts over) hit 50.5% over 2,583 graded cards, 2,320 of them replayed from historical lines. That is our settled record in this market, not this card's win probability and not a claim about the board as a whole.
Bet Data Labs has graded 2583 MLB strikeouts cards. The model predicted 57% on average and they hit 51%. Weighted for model changes since, that history is worth 1219 cards about the model running now. This card's win prob was cut 6.1pp for it.
Fair value is the mean of 2 independent two-sided de-vigs. Reference books (BetMGM, Caesars, BetRivers, reduced-juice) count toward this number but can never set the price above, which comes from a Connecticut book only.
| Book | Line | Over | Under |
|---|---|---|---|
| DK★ Best | 2.5 | +1062.06 | -1351.74 |
Even at the high end of our projection the price is too short. No range of our number makes this pay.
The band is our projection's standard error run through the same model that sets this card's win probability, so it shows how much the number could move if our read on the player's mean is off. The tick is what +106 has to beat to profit. We grade against that instead of a threshold we invented.
Prop weights: calibrated win probability 55 · market consensus 15 · price 15 · edge test 15 · kill signals -8 then -5 each. Clamped 0-100. Tiers: 90+ PRESS, 75-89 STRONG, 60-74 LEAN, 50-59 WATCH, <50 PASS.
Buy this over down to 2: an exact 2 returns your stake instead of losing (8% of outcomes), same win chance as the 2.5.
| Line | Win | Push | Loss | Price | EV |
|---|---|---|---|---|---|
| 2push-safe | 80% | 8% | 12% | -692 fair | - |
| 2.5nowbest EV | 80% | - | 20% | +106 | +65.2% |
| 3 | 68% | 12% | 20% | -345 fair | - |
Win / push / loss come from our projected distribution. A whole-number line can push - an exact landing returns your stake - so buying to the whole number nearest our projection converts a slice of losses into stake-back. EV is shown only where a book actually quotes that line; other rungs show the model's fair price.
Best EV is the highest-value rung inside the trustworthy band. Tighten is the safest rung that stays +EV, for when a leg needs to survive rather than pay big. EV is our model's edge at the price a book actually quotes. Which rungs we trustis now de-vigged: we measure the book's margin on the two-sided main line (its vig-free read is 46% our side there) and strip that same margin off each one-sided rung. A losing-side rung is shown only when the book's own de-vigged price backs the model up, so a longshot can no longer post a phantom edge built on the model's fat tail. EV in (parentheses)is a rung where the model claims far more than the book's de-vigged number: indicative only, never a recommendation.
Cells scored against the Over, the side this card is on. At +106 the price needs 49% to break even: green clears it with room, red falls short. A high hit rate at heavy juice is not an edge, which is why we grade against the price and not a round number.
The five most recent games with a readable stat line. Dimmed rows are outside the selected window, not excluded from the record. Hit and miss are scored against 2.5, this card's line, so the same game can be a hit here and a miss on a different rung. The price needs 49% to break even, which is the bar these percentages have to clear.
Recent form is context, not signal. A team on a heater can still be the wrong side of the number. Cross-check with the projection above.
Across 28 replayed days of MLB, this market moves 1.8pp of implied probability on average between six hours out and the close, and the line itself moves 39% of the time (mean 0.20 units of line across every pair measured, movers and non-movers together).
Absolute magnitude over 253 players quoting pitcher_strikeouts, so signed moves cannot cancel. A volatile market is not an inefficient one: this says how much the close knows that six hours out did not, not which way.