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Monte Carlo MLB prop analytics with glass-box transparency. Every factor visible. Every result graded publicly.

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Model Accuracy

Glass-box prop analytics — public accuracy tracking across 6 prop types

⚠

No live data yet — showing backtest results

The data below is from our 2025 season backtest (11,004 predictions, Apr 1 – Sep 30, 2025). Live accuracy tracking will replace this automatically once the grading pipeline populates the accuracy_summary table.

PREDICTIONS

11,004

2025 Backtest

ACCURACY

53.1%

Overall hit rate

ROI

2.1%

Flat $1 bets at -110

PROP TYPES

4

K, H, TB, HR, BB, RBI

GAME DAYS

152

Tested

P/L (UNITS)

+233.8

Total

Accuracy by Prop Type

Prop TypePredictionsCorrectAccuracyROIAvg EdgeTier A ROITier B ROITier C ROI
KStrikeouts4,8042,59454.0%+3.2%4.8%+8.7%+2.1%-1.4%
TBTotal Bases3,2001,69653.0%+1.8%3.5%+6.2%+1.5%-2.1%
HHits2,1001,09252.0%+0.9%2.8%+5.1%+0.8%-2.8%
HRHome Runs90045951.0%+0.4%2.2%+4.3%-0.5%-3.6%

ROI by Confidence Tier

Tier AEdge 10%+

High Confidence

+6.1%

Average ROI

Tier BEdge 5-10%

Medium Confidence

+1.0%

Average ROI

Tier CEdge 0-5%

Low Confidence

-2.5%

Average ROI

Data updates daily at 2 AM ET via GitHub Actions · View Source on GitHub

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