Baseball Predictor & Point Spreads
BASEBALL Predictor
| Date | Team 1 | Team 2 | Score Prediction First Inning | Score Prediction Final Score | Confidence | Betting predictions Team 1 Win | Betting predictions Team 2 Win | First Inning Result | Final Score | |||
| Mexico LMP | ||||||||||||
28th Dec 2025, 18:00 ET | Jalisco 1.850 | Aguilas de Mexicali 1.850 | 0:1 | 5:6 |  37.7% | 29.17% | 70.83% | 0:0 | 5:2 | |||
28th Dec 2025, 19:00 ET | Caneros Mochis 1.510 | Mazatlan 2.420 | 0:1 | 5:1 |  48.2% | 78.57% | 21.43% | 5:0 | 15:6 | |||
28th Dec 2025, 19:00 ET | Tucson | Algodoneros | Unlock | Unlock Prediction | ||||||||
28th Dec 2025, 19:00 ET | Tomateros 2.182 | Jaguares de Nayarit 1.620 | 0:0 | 6:5 | 48.7% | 72% | 28% | 0:2 | 5:8 | |||
28th Dec 2025, 19:00 ET | Yaquis de Obregon 2.104 | Hermosillo 1.670 | 0:0 | 6:4 |  71% | 75% | 25% | 0:0 | 5:6 | |||
Value bets for today based on Scores Predictor:
| Date | Team 1 | Team 2 | Score Prediction | Total | Bookmaker Total | Final Score | Value Bet |
Mexico LMP 28th Dec 2025, 18:00 ET | Jalisco 1.850 | Aguilas de Mexicali 1.850 | 5:6 | 11 | 8.50 | 5:2 | Bet over 8.50 |
Mexico LMP 28th Dec 2025, 19:00 ET | Caneros Mochis 1.510 | Mazatlan 2.420 | 5:1 | 6 | 7.50 | 15:6 | Bet under 7.50 |
Mexico LMP 28th Dec 2025, 19:00 ET | Tomateros 2.182 | Jaguares de Nayarit 1.620 | 6:5 | 11 | 10.50 | 5:8 | Bet over 10.50 |
Mexico LMP 28th Dec 2025, 19:00 ET | Yaquis de Obregon 2.104 | Hermosillo 1.670 | 6:4 | 10 | 8.50 | 5:6 | Bet over 8.50 |
Value bets for today based on Scores Predictor and Kelly Criterion:
The Kelly Criterion is a bet-sizing technique which balances both risk and reward for the advantage gambler. It determines the optimal % of your total capital (ie bankroll) that you can bet on a single outcome or game. Here is the formula for the Kelly Criterion copied from Wikipedia:
Where:
- f* is the fraction of the current bankroll to wager;
- b is the net odds received on the wager (“b to 1”); that is, you could win $b (plus the $1 wagered) for a $1 bet
- p is the probability of winning;
- q is the probability of losing, which is 1 − p.
As an example, if a gamble has a 60% chance of winning (p = 0.60, q = 0.40), and the gambler receives 1-to-1 odds on a winning bet (b = 1), then the gambler should bet 20% of his bankroll at each opportunity (f* = 0.20), in order to maximize the long-run growth rate of the bankroll.
If the gambler has zero edge, i.e. if b = q / p, then the criterion recommends the gambler bets nothing.
If the edge is negative (b < q / p) the formula gives a negative result, indicating that the gambler should take the other side of the bet.
| Date | Team 1 | Team 2 | Optimal Stake Part | Bet On | Final Score |
Mexico LMP 28th Dec 2025, 18:00 ET | Jalisco 1.850 | Aguilas de Mexicali 1.850 | 0.37 | Aguilas de Mexicali ML | 5:2 |
Mexico LMP 28th Dec 2025, 19:00 ET | Caneros Mochis 1.510 | Mazatlan 2.420 | 0.37 | Caneros Mochis ML | 15:6 |
Mexico LMP 28th Dec 2025, 19:00 ET | Tomateros 2.182 | Jaguares de Nayarit 1.620 | 0.48 | Tomateros ML | 5:8 |
Mexico LMP 28th Dec 2025, 19:00 ET | Yaquis de Obregon 2.104 | Hermosillo 1.670 | 0.52 | Yaquis de Obregon ML | 5:6 |