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

38-32

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
PIT @ STLKyle Leahy — Strikeouts O4.5via BetRivers+34.2pt edgeCWS @ MINErick Fedde — Strikeouts O2.5via BetMGM+32.4pt edgeBAL @ ATHJack Perkins — Strikeouts O5.5via FanDuel+31.2pt edgeBAL @ ATHUnder 9.5via LowVig+25.8pt edgeCWS @ MINBailey Ober — Strikeouts O3.5via BetMGM+19.9pt edgeBOS @ NYYJake Bennett — Strikeouts O4.5via BetRivers+19.3pt edgePIT @ STLUnder 8.5via Caesars+19.2pt edgeCIN @ CHCUnder 9.5via DraftKings+18.3pt edgeLAD @ DETKeider Montero — Strikeouts O3.5via Fanatics+17.6pt edgeTEX @ MILCal Quantrill — Strikeouts O3.5via Fanatics+16.9pt edgeTEX @ MILShane Drohan — Strikeouts O5.5via BetMGM+16.6pt edgeBOS @ NYYMax Fried — Strikeouts O4.5via BetMGM+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
Kyle Leahy

Kyle Leahy — Strikeouts O4.5

Pittsburgh PiratesSt. Louis CardinalsPIT @ STL

77.7%

Model probability

43.5%

Book implied

60%

Real hit rate (L5)

Kyle Leahy's last 5 games vs. this exact line — real results, not a projection.

21.8%

K%

7.2%

BB%

.373

wOBA vs L

.263

wOBA vs R

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 PropMiss · -1.0u

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%

.373

wOBA vs L

.263

wOBA vs R

A small daily sample. Subscribers get our full model across every game, total, and player prop — see plans.

Get the free daily sample by email.

One email a day with the free suggested plays and the record. No spam, unsubscribe anytime.

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.