MatchWiz★ Plays◆ Optimizer
Plays of the Day · Archive

Best MLB plays — Friday, June 12, 2026

Every board's highest-conviction edges in one place — where our model diverges far enough from the book to have been profitable in the season backtest. 7 plays posted. Each play is graded in the open with our running hit rate and ROI. Research signals, not betting advice — 21+.

Friday, June 12, 2026 · ★ rec units
4–2+2.6u
staked 1–3u by edge size
flat 1u+1.0u
Season · ★ rec units
51–28+23.6u
65% hit · +22% ROI
flat 1u+14.1u· +18% ROI

★★ Strikeouts — Plays of the Day

Our highest-conviction strikeout calls — where our model diverges a high percentage from the book's line (lineups final, so the play is locked). To date this season, strikeout PODs are hitting at a 63% rate — a +15% return · +10.3u net.

Δ1.8Trey YesavageFinal NYY @ TORwe project 4.7 K vs the 6.5 lineUnder 6.51uBRBetRivers-143✓

Purely a research signal based on this season and our model, which is continuously tuned throughout the season. Not betting advice — 21+, please play responsibly (1-800-GAMBLER).

◆ Team totals

Each club's projected runs vs its over/under — our biggest disagreements with the market, lineups final. This season team-total leans are hitting 78% — a +43% return · +3.9u net over 9 graded.

Δ2.3ATHFinal ATH vs COLwe project 5.3 runs vs the 7.5 lineUnder 7.53u-112✓
Δ2.0PHIFinal PHI vs MILwe project 4.5 runs vs the 2.5 lineOver 2.52u-135✗
Δ2.0COLFinal COL vs ATHwe project 4.5 runs vs the 6.5 lineUnder 6.52u-135✓
Δ1.5NYYFinal NYY vs TORwe project 5.0 runs vs the 3.5 lineOver 3.51u-140✓
Δ1.4STLFinal STL vs MINwe project 4.9 runs vs the 3.5 lineOver 3.51u-145✓
Δ1.3WSHFinal WSH vs SEAwe project 4.8 runs vs the 3.5 lineOver 3.51u-145✗

A research signal from our run model vs the market, graded in the open. Not betting advice — 21+, please play responsibly (1-800-GAMBLER).

Why we only surface these markets

We post a play only where a full-season backtest shows a durable, repeatable edge — today that's strikeout props (big projection-vs-line gaps) and team-total leans (our strongest run-total disagreements). Everything else we publish as graded transparency, not plays: our number set beside the market and scored in the open, but with no lean attached.

Markets like the moneyline, game totals, home runs, hits, RBI, runs, and total bases are priced sharply and managed tightly by the books. Across a full season of backtesting, even a well-tuned model can't find a repeatable edge in them — beating these markets consistently is strikingly hard, so we won't manufacture a play we can't stand behind. If one of them ever earns a sustained edge, it'll surface here automatically.

Δ shows how far our projection diverges from the book's line — the bigger the disagreement, the stronger the historical edge. Hit rates and ROI are season-to-date, graded against the posted line. Not betting advice.