Across the six-game window from August 23 to August 29, 2026, the MLB model finished with a 2-4 record and a net total of -1.98 units. Every selection was a moneyline play, resulting in a 0.333 win rate while generating an average closing line value (CLV) of 0.0094. With the model currently in a public retraining cycle, six decisions across a single week represent a small sample that neither proves nor disproves the system's long-term capability.
Evaluating Market Disagreements
The model's highest projected win probability of the week landed on August 25, when it assigned the Seattle Mariners a 65.97% chance to beat the Philadelphia Phillies at -111 odds, compared to a closing market probability of 54.13%. Seattle validated the gap with a 4-1 victory, led by a home run from Cal Raleigh and two RBIs from Dominic Canzone.
That same day, the model posted its widest percentage divergence from consensus pricing in Miami. It assigned the Miami Marlins a 61.83% win probability against a closing market probability of 46.51% at +125 odds. The Boston Red Sox broke open a 7-3 victory behind Mickey Gasper hitting two home runs and Jarren Duran going deep with four RBIs, offsetting a home run from Miami's Heriberto Hernández.
The model's second successful decision came in Detroit on August 25, backing the Detroit Tigers at a 57.59% win probability at +112 odds against a closing market probability of 48.08%. Detroit secured a 4-1 win over Tampa Bay, supported by a home run and two RBIs from Max Clark.
Underdog Plays and Outcome Variance
Three other moneyline calls targeted underdogs that failed to convert. On August 23, the model designated the Los Angeles Angels as a 55.26% play at +139 odds against a 42.74% closing market probability. Zach Neto hit a home run for Los Angeles, but the Texas Rangers took a 5-3 decision following home runs from Elias Díaz and Ezequiel Duran.
On August 24, the Chicago Cubs shut out the Arizona Diamondbacks 7-0. The model evaluated Arizona at a 57.22% win probability at +121 odds against a closing market probability of 44.84%. Chicago controlled the contest with Michael Conforto driving in two runs on three hits (including a home run), Carson Kelly adding a home run, and Ian Happ recording two hits. Finally, on August 26, the model placed the Pittsburgh Pirates at 56.97% (+116 odds, 46.95% closing market probability), but the San Diego Padres earned a 3-0 shutout win.
Window Breakdown
| Matchup (Date) | Pick Side | Price | Model Prob | Final Score | Units |
|---|---|---|---|---|---|
| LA Angels @ Texas (Aug 23) | Angels ML | +139 | 55.26% | 3-5 | -1.00 |
| Chicago Cubs @ Arizona (Aug 24) | D-backs ML | +121 | 57.22% | 0-7 | -1.00 |
| Tampa Bay @ Detroit (Aug 25) | Tigers ML | +112 | 57.59% | 4-1 | +1.12 |
| Boston @ Miami (Aug 25) | Marlins ML | +125 | 61.83% | 3-7 | -1.00 |
| Philadelphia @ Seattle (Aug 25) | Mariners ML | -111 | 65.97% | 4-1 | +0.90 |
| Pittsburgh @ San Diego (Aug 26) | Pirates ML | +116 | 56.97% | 0-3 | -1.00 |
Auditing these six settled picks tracks where model expectations split from closing prices, but six games during an active retraining cycle show short-term variance rather than a definitive statement on baseline accuracy.