UCLA vs Wisconsin Prediction: Will UCLA Cover -2.5?
Backdoor Cover’s model projects UCLA -5.28 for Wisconsin at UCLA, 2.8 points off the market’s UCLA -2.5, and gives UCLA a 63% win probability.
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What this tells us
My model is more bullish on UCLA than the market is. I have them winning by 5 points with a 63% win probability, while the market only has them favored by 2.5. We agree UCLA wins, just not by how much.
The model's side at the current line. It isn't a bet. I only bet a small share of the model's picks.
About this gap
Games with a gap under 3 points covered 51.4% of the time in the backtest (883 games).
| Model vs market | Cover % | Games |
|---|---|---|
| 0–3 pts (this game) | 51.4% | 883 |
| 3–6 pts | 53.9% | 616 |
| 6–10 pts | 54.6% | 401 |
| 10+ pts | 53.0% | 181 |
Backtest: every game, weeks 2+ of 2023–25.
Weather at kickoff
No significant weather expected.
How the number is built
The model rates every FBS team on efficiency, adjusted for opponent, and refits every week. It predicts a score, which becomes a spread and a total. Backdoor Cover Picks are the few games I bet.
My track record starts with the 2026 season. Picks are posted before kickoff and graded once the game finishes.
Common questions
Who does the model project to win UCLA vs Wisconsin?
Backdoor Cover’s model projects UCLA to win, with a 63% win probability.
What is the model’s predicted spread for Wisconsin at UCLA?
The model projects UCLA -5.28 and the market has UCLA -2.5, a gap of 2.8 points.
What side does the model favor against the spread?
UCLA -2.5, at the current number. Backdoor Cover Picks may still pass on this game.
How the model is doing. 174–154–1 against the spread (53.0%), 97–75 on totals (56.4%) and 247–82 straight up (75.1%) on every game this season.
Backdoor Cover Picks
Is Wisconsin at UCLA one of my picks? Subscribers see whether I’m betting it, and if so the side, the line and a recommended unit size.
My track record is on the Track Record page.