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Performance Snapshot

The model, graded.

Every pick we've published, scored against the actual result. No cherry-picking, no recency bias — 696,574 graded predictions at 55.1% accuracy. And +7.7% sharper than the closing line on average.

By bet type

Moneyline

53.8%

7,627–6,558 · 14,304 graded

Picking the outright winner.

Spread

47.8%

34,862–38,030 · 74,416 graded

Beating the point spread.

Over / Under

59.0%

58,471–40,714 · 101,498 graded

Total points over or under.

Player Props

55.4%

280,358–225,792 · 506,356 graded

Yes/no on a player stat.

By league

NBA

Moneyline

54.8%

2,032–1,678 · 3,710 graded

Spread

42.8%

13,140–17,567 · 30,960 graded

Over / Under

64.6%

23,505–12,891 · 36,628 graded

Player Props

52.4%

Performance over time

Performance Trend

(7-day rolling avg)

Calibration Curve

How well predicted probabilities match actual outcomes

Perfect
Clutch Model

Predictions per bin

0%50%100%

When the model says 70%, it hits ~70%. That's what “calibrated” means — and why our edge isn't an accident.

Members see more

Every pick. Every game. Every angle.

The numbers above are the headline. Inside, you get the picks themselves — plus the breakdowns that show where to deploy them.

  • Per-league breakdowns (NBA / NFL / MLB)
  • Per-prop-type splits (points, rebounds, assists, …)
  • Per-team & per-bookmaker performance
  • Edge distribution by odds bucket
  • Best-line shopping across major books
  • Personal ROI tracking on every parlay
See plans

124,313–112,856 · 237,277 graded

MLB

Moneyline

53.4%

5,595–4,880 · 10,594 graded

Spread

51.5%

21,722–20,463 · 43,456 graded

Over / Under

55.7%

34,966–27,823 · 64,870 graded

Player Props

58.0%

156,045–112,936 · 269,079 graded