Our Story

Quantitative thinking,
applied to sports betting

Bettorlytics was built by a quantitative professional from the trading industry who saw a striking parallel: sports betting markets behave just like financial markets.

The Thesis

Markets can be
mispriced

Prices move on information, liquidity varies across venues, and inefficiencies emerge when different platforms price the same event differently. Just as quant traders find mispriced assets, we find mispriced bets.

Value Bets & Positive Expected Value

When a sportsbook’s odds imply a 45% win probability but our models calculate 52%, that’s a value bet. A mispriced line created by market dynamics and inefficiencies. The difference is positive expected value (+EV). Over the long run, consistently betting +EV is a winning strategy.

Cross-Market Arbitrage

Now multiply that across every sportsbook and prediction market, for every game, in real time. When DraftKings, FanDuel, Kalshi, and Polymarket all price the same outcome differently, those spreads create opportunities. Bettorlytics was built to find them automatically.

What We Build

Models, markets, edges

Player-level predictive models for the NFL, NBA, and MLB, compared against live odds from every major sportsbook and prediction market.

Predictive Models

Fair win probabilities for every game

We generate independent fair prices using confirmed lineups and player-level stats, not just team aggregates. When our models disagree with the market, we surface it.

Market Scanning

Every sportsbook and prediction market

DraftKings, FanDuel, BetMGM, Caesars, BetRivers, Kalshi, and Polymarket. All scanned in real time. When markets disagree with each other, we detect the edge.

Edge Detection

Real-time opportunity alerts

Everything streams live so you see opportunities as they appear, not after they’re gone. Edge percentages calculated automatically across all markets.

Audited Performance

Every pick logged and verified

Full transparency on model performance. No cherry-picked results, no hidden track records. Just audited, reproducible outcomes you can verify yourself.

Our Approach

Discipline over luck

We believe sports betting is a market, and like any market, it can be approached with discipline and data.

Quantitative Models

Lineup-aware, player-level statistical models built on the same principles used in quantitative trading. No gut picks, no narratives. Just data.

Market Intelligence

We scan every major sportsbook and prediction market simultaneously. When platforms disagree on the same outcome, we surface the gap.

Radical Transparency

Every pick is logged. Performance is audited. No hidden track records, no cherry-picked results. Just verified, reproducible outcomes.

The edge isn’t in one lucky pick. It’s in systematically identifying positive expected value, bet after bet, and letting the math work over the long run.

That’s what Bettorlytics is built to do.