We do not predict games. We identify when the market is wrong. This page is built to answer one thing fast: what are the best MLB bets today, why are they on the card, and what is the market missing? The backend can evolve with Bayesian updating, park factor, travel, weather, bullpen fatigue, velocity, estimated lineups, and smarter weighting — but the front end stays clear.
- The line is giving too much respect to Cleveland’s starter based on reputation instead of current underlying performance.
- Baltimore’s late-inning bullpen setup matters more than the market number reflects.
- Baltimore enters with the better rested bullpen and stronger full-game relief quality.
- The lineup contact profile reduces the downside of a strikeout-heavy first five innings.
- The market is pricing headline pitching more than full-game run prevention.
If Cleveland’s starter gets ahead in counts and works deep, this can flatten into the market number fast.
- The market is underpricing the Dodgers’ ability to turn a one-run lead into a multi-run win late.
- The run line is still giving too much credit to San Diego simply staying close.
- LA’s offense has more paths to separation once the starter exits.
- Bullpen conversion from small lead to cover is stronger than the market implies.
- The run line offers more value than the straight moneyline in this spot.
Road favorites can play the better game and still win by only one. That is the cost of taking plus-money margin bets.
- Our model and the market are too close after vig.
- The edge is not large enough to justify variance.
- Sometimes the best play is no play.
| Bet | Odds | Units | Status |
|---|---|---|---|
| Orioles ML | -110 | 1.0u | Pending |
| Dodgers -1.5 | +135 | 0.75u | Pending |
| Date | Pick | Market | Model | Result | Units |
|---|---|---|---|---|---|
| Apr 20 | SEA ML | 51.1% | 56.0% | Win | +1.0u |
| Apr 19 | ATL -1.5 | 43.0% | 48.5% | Win | +1.1u |
| Apr 18 | PHI ML | 54.0% | 58.1% | Loss | -1.0u |
| Apr 17 | No Bet Day | — | — | Pass | 0.0u |
Priced efficiently: 11
Potential edges: 3
We’re betting: 2
We start from the market prior, then update it with baseball-specific evidence rather than pretending every game begins from zero.
FIP matters more than ERA. Strikeouts, walks, contact suppression, and velocity trend matter more than surface narrative.
Handedness-adjusted lineup strength, estimated lineup quality, and where the injury sits in the order all matter.
Fresh late innings beat tired late innings. Relief usage across the last three days changes full-game win probability more than casual bettors think.
Weather, park size, run environment, travel distance, rest, and temperature all feed the final probability estimate.
Weights should adapt by context, but only if the evidence is real. After losses, we review what we missed before changing the model.