Daily sports betting picks using machine learning
Fine-tuned machine learning models are trained on years of game data to predict scores for every major sport.
The model compares predictions to live exchange odds and identifies bets where the model has an edge.
Mean-variance portfolio optimization sizes each bet using fractional Kelly criterion. Diversifies your wagers and maximizes ROI.
| Pick | Odds | Model | Edge | Stake | Payout | Result |
|---|---|---|---|---|---|---|
|
WNBA
Spread — SEA +11.5
SEA @ DAL
|
+127 | 59% | 14.6% | 7.0% | 2.27x | LOSS |
|
MLB
Total — Under 7.5
LAD @ ARI
|
+257 | 52% | 24.0% | 7.0% | 3.57x | WIN |
|
MLB
Total — Under 7.5
CHW @ MIN
|
+178 | 53% | 17.0% | 7.0% | 2.78x | LOSS |
|
MLB
Spread — COL +2.5
COL @ LAA
|
-113 | 70% | 16.8% | 7.0% | 1.88x | WIN |
|
MLB
Spread — KC +2.5
KC @ CIN
|
-108 | 68% | 16.2% | 7.0% | 1.93x | WIN |
|
MLB
Spread — DET +2.5
DET @ TB
|
-133 | 72% | 14.9% | 7.0% | 1.75x | WIN |
|
MLB
Spread — COL +3.5
COL @ LAA
|
-178 | 77% | 12.8% | 7.0% | 1.56x | WIN |
|
MLB
Spread — KC +3.5
KC @ CIN
|
-170 | 75% | 12.4% | 7.0% | 1.59x | WIN |
|
MLB
Spread — MIA +2.5
MIA @ WSH
|
-150 | 69% | 8.7% | 7.0% | 1.67x | WIN |
|
MLB
Spread — STL +2.5
TEX @ STL
|
-150 | 68% | 8.0% | 7.0% | 1.67x | WIN |
|
WNBA
Total — Over 168.5
MIN @ PHX
|
+113 | 55% | 8.1% | 5.7% | 2.13x | WIN |
|
MLB
Total — Under 8.5
MIA @ WSH
|
+127 | 53% | 9.0% | 5.3% | 2.27x | LOSS |
|
MLB
Moneyline — DET
DET @ TB
|
+150 | 52% | 12.3% | 4.6% | 2.50x | WIN |
|
MLB
Spread — NYM +2.5
NYM @ SEA
|
-186 | 71% | 6.1% | 4.1% | 1.54x | WIN |
|
MLB
Spread — CHW +2.5
CHW @ MIN
|
-156 | 68% | 7.0% | 3.9% | 1.64x | LOSS |
|
MLB
Total — Over 8.5
SF @ MIL
|
+108 | 53% | 5.0% | 2.5% | 2.08x | WIN |
|
MLB
Total — Under 9.5
KC @ CIN
|
+104 | 55% | 5.9% | 1.9% | 2.04x | LOSS |
|
MLB
Total — Under 8.5
LAD @ ARI
|
+150 | 55% | 15.4% | 1.4% | 2.50x | WIN |
|
MLB
Moneyline — NYM
NYM @ SEA
|
+117 | 51% | 5.2% | 0.5% | 2.17x | LOSS |
Odds provided by Kalshi. Past performance does not guarantee future results. Not financial advice.