Yale Bulldogs vs Baylor Bears Prediction, Odds & Preview — Nov. 10, 2026
Yale Bulldogs visit the Baylor Bears on November 10, 2026.
Prediction Lab's stored Sharp Consensus currently gives Yale Bulldogs a 81.0% win probability. That figure is a statistical model output for this matchup — not a guarantee, and not betting advice.
Game information
| Date | November 10, 2026 |
|---|---|
| Away | Yale Bulldogs |
| Home | Baylor Bears |
Model moneyline
| Model | Side | Prob |
|---|---|---|
| Grinder2 | Yale Bulldogs | 69.8% |
| Takedown | Yale Bulldogs | 90.1% |
| Edge | Yale Bulldogs | 59.4% |
| XSharp | Yale Bulldogs | 96.6% |
| Sharp Consensus | Yale Bulldogs | 81.0% |
Sharp Consensus: Yale Bulldogs (81.0%)
Markets & projections
| XSharp proj | 79–80 |
|---|---|
| PL total | 156.5 |
| XSharp total | 159 |
| XSharp run line | +2 |
| H2H | 151 combined runs over 1 meetings |
Why the models split
5 of 5 models with a stored probability lean Yale Bulldogs: Grinder2 (69.8%), Takedown (90.1%), Edge (59.4%), XSharp (96.6%), Sharp Consensus (81.0%).
Available sportsbook moneyline on the stored board: Yale Bulldogs -535, Baylor Bears +406. Compare that price with the model probability before treating either as a pick.
Takeaway
This preview is built from Prediction Lab's stored Yale Bulldogs vs Baylor Bears board for November 10, 2026. The current Sharp Consensus lean is Yale Bulldogs at 81.0%. Use the NCAAB picks page for the live card, then check graded results after the game. Model probabilities can be wrong; they are not locks.
