Every pick graded in public and never revised — wins and losses both

StatGuru finds +EV edges for bettors who shop the number

We run every matchup 20,000 times through a predictive model built on real box-score and matchup data, then scan sportsbook lines around the clock for spots where our numbers diverge from the book's implied probability. No generated picks, no gut calls, and every result is graded in public against the real final score.

Every result measured the only way that matters — against what actually happened, not a backtest.

Built for +EV and line-shopping bettors — not parlay chasers.

20,000

Sims per game

38-31

Suggested plays record

2

Leagues live

See StatGuru in 60 seconds

A quick walkthrough of the dashboard, Top Picks, and the Hit-Rate Explorer.

Scanning sportsbook lines
KC @ CLEDaniel Lynch IV — Strikeouts O2.5via BetMGM+31.5pt edgeBAL @ ATHJack Perkins — Strikeouts O5.5via FanDuel+28.2pt edgeBAL @ ATHUnder 9.5via LowVig+25.1pt edgeSEA @ TORJosé Soriano — Strikeouts O5.5via BetOnline+20.6pt edgeTEX @ MILShane Drohan — Strikeouts O5.5via BetMGM+20.5pt edgeCOL @ ATLMartín Pérez — Strikeouts O4.5via BetRivers+18.9pt edgeSD @ TBDustin Harris — Hits O0.5via DraftKings+17.8pt edgeMIA @ WSHUnder 7.5via Caesars+16.6pt edgeTEX @ MILCal Quantrill — Strikeouts O3.5via Fanatics+15.2pt edgeHOU @ NYMUnder 8via FanDuel+13.6pt edgeMIA @ WSHSandy Alcantara — Strikeouts O4.5via Bovada+13.4pt edgeKC @ CLEUnder 7.5via Caesars+12.9pt edge
Backtests are easy. Production is hard. Every pick on this site was selected once, before the game, and graded against the real result — never revised, never deleted. That's the only honest test of whether a model actually beats the market.
Player prop spotlight
Kiki Rice

Kiki Rice — Assists U4.5

Toronto TempoPhoenix MercuryTOR @ PHX

79.8%

Model probability

46.3%

Book implied

37.5%

Real hit rate (L8)

Kiki Rice's last 8 games vs. this exact line — real results, not a projection.

19.3%

Usage%

123.0

Off Rtg

Today's +EV picks, graded publicly

A free daily sample from our predictive model, tracked and graded publicly.

WNBA · Moneyline45.4% sim

Away ML

Toronto TempoPhoenix MercuryTOR @ PHX · +345

Caesars

Model probability 45.4% vs. the book's implied 22.5% — a +22.9-point edge is why this made today's list.

MLB · Total74.9% sim

Under 9.5

Baltimore OriolesAthleticsBAL @ ATH · +101

LowVig

Model probability 74.9% vs. the book's implied 49.8% — a +25.1-point edge is why this made today's list.

MLB · Player Prop84.6% sim

Kyle Leahy — Strikeouts O4.5

Pittsburgh PiratesSt. Louis CardinalsPIT @ STL · +129

DraftKings

Model probability 84.6% vs. the book's implied 43.7% — a +40.9-point edge is why this made today's list.

21.8%

K%

7.2%

BB%

.370

wOBA vs L

.264

wOBA vs R

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Frequently asked

How is every pick graded?

Every pick is selected once, before the game starts, and graded against the real final result — never revised, never deleted. Wins and losses both stay visible.

What sportsbooks do you cover?

DraftKings, FanDuel, BetMGM, Fanatics, BetUS, BetRivers, Bovada, MyBookie, LowVig, BetOnline, and William Hill.

How is this different from a picks service?

There are no generated picks and no gut calls here — it's a statistical model that flags where its own probability differs from the sportsbook's price, and shows you the math behind every one.

What is +EV?

A bet is +EV (positive expected value) when its real probability of hitting is higher than the sportsbook's price implies — meaning if you made the same bet enough times, you'd profit on average. That's what the model looks for: not certainty, a measurable edge over the book's price.

Who built StatGuru?

See the About page for how the model works end to end — real box-score and matchup data in, a full probability distribution out, checked against the market around the clock.