Probabilistic baseball insights

See the whole distribution,
not just the pick.

Every MLB game, simulated thousands of times. Floors, ceilings, and the real probability of every outcome โ€” the edge other tools flatten into a single number.

Sample simulation

Philadelphia Phillies @ Washington Nationals

Full breakdown โ†’
0%8%16%036912151821Runs scored
Philadelphia Phillies (mean 4.93)Washington Nationals (mean 3.87)

Built for decisions, not headlines

Three things every card gives you that a point estimate can't.

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Full outcome ranges

The probability a team scores 2 runs vs 7 โ€” floors and ceilings for totals, sides, and team scoring.

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Context-aware engine

Park, weather, platoon splits, bullpen quality, times-through-order and defense โ€” folded into every sim.

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Transparent accuracy

We publish our calibration and closing-line value. You see exactly how the model has performed.

How it works

A Monte Carlo engine, run on every game, every day.

1 ยท Simulate

Each game is played out 10,000 times at the plate-appearance level using shrunken, projection-based talent estimates.

2 ยท Distribute

We keep the full spread of results โ€” win probability, score distributions, totals, and per-player lines.

3 ยท Compare

Model numbers are lined up against the market so you can see where they disagree, and by how much.

Games tracked
36
Model Brier
0.2445
Market Brier
0.2402
Closing-line beat
67%

Lower Brier is sharper. Closing-line beat rate is the share of tracked games where the market moved toward our number.

Simple pricing

One plan. Every game, every day.

All-Access

$10/month
  • Today's full slate โ€” win probabilities & edges
  • Complete outcome distributions
  • Per-player projected lines
  • The daily Edges board
Start now โ€” $10/month

Cancel anytime from your account page.

Try before you pay

Yesterday's full slate โ€” every projection next to what actually happened โ€” and our complete track record are free, forever. Judge the model on its record, not our marketing.

See yesterday's slate โ†’