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Value Bets

AI Powered

Our AI models analyze market consensus and historical data to identify betting opportunities where the true probability exceeds what the odds imply.

High Confidence

(2 bets)
🏎️Abu Dhabi Grand Prix

Lando Norris

Race Winner@DraftKings
+350
+7.8% edge
Implied: 22%True Prob: 32%
Implied True Probability
🏎️Abu Dhabi Grand Prix

Oscar Piastri

Podium Finish@FanDuel
-110
+6.2% edge
Implied: 52%True Prob: 62%
Implied True Probability

Medium Confidence

(4 bets)
🥊UFC 310 - Pantoja vs Asakura

Kai Asakura

Moneyline@FanDuel
+210
+5.2% edge
Implied: 32%True Prob: 38%
Implied True Probability
🥊UFC 310 - Merab vs Umar

Umar Nurmagomedov by Decision

Method of Victory@BetMGM
+180
+4.8% edge
Implied: 36%True Prob: 42%
Implied True Probability
🎮BLAST Premier - Grand Final

FaZe Clan

Match Winner@Bet365
+175
+4.6% edge
Implied: 36%True Prob: 42%
Implied True Probability
🎮LCK Winter - T1 vs Gen.G

T1 +1.5

Map Handicap@Pinnacle
-125
+4.3% edge
Implied: 56%True Prob: 65%
Implied True Probability

Low Confidence

(2 bets)
🏏India vs Australia - 3rd Test

India

Match Winner@BetMGM
+145
+3.8% edge
Implied: 41%True Prob: 46%
Implied True Probability
🏉Six Nations - England vs France

France -3.5

Handicap@Caesars
-105
+3.5% edge
Implied: 51%True Prob: 58%
Implied True Probability

How We Find Value

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Market Consensus

We aggregate odds from 8+ sportsbooks to establish market consensus probabilities.

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AI Models

Machine learning models trained on historical data generate true probability estimates.

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Edge Detection

We identify where odds offer value compared to our estimated probabilities.