EdgeDetector analyzes Statcast data, injury reports, pace ratings, and defensive efficiency to surface mispriced lines on DraftKings and FanDuel — before the market catches up.
Every morning before first pitch, EdgeDetector runs through every game and publishes picks ranked by confidence — with the reasoning so you can bet with conviction, not confusion.
For each game, we identify confirmed OUT players and model how their absence ripples through the opponent's offense — who gets their minutes, who gets their shots, and can the remaining roster compensate?
CSW%, SwStr%, opponent umpire tendencies, park factors — the same data pro shops use to move lines, surfaced before the market adjusts.
We compare our projected total against the market line. Picks only publish when our model shows genuine mispricing — not just "we think the under is likely."
Picks go out every morning with full reasoning — edge type, confidence level, unit sizing, and the specific rule that triggered the pick. No black box.
Every pick is logged. Here's the full picture — including the losses.
Honest take: The overall record is negative — the model is still learning. The most consistent edge so far is the dual injury cascade pattern: when both teams are missing their primary scorers, mutual suppression reliably keeps totals under the line. That's a real edge, and it's where the system is heading.
One NBA story worth watching today — and why it matters for your bets.
Player search, game-by-game stats, season averages, and AI-generated research reports — built for people who want to do their own analysis before placing a bet.
Join the Discord. Get picks in the morning, discuss the model after games, and watch the system evolve in real time.