Betting Lines
| Spread | UCLA -15.0 Home covered |
| O/U | 130.0 Over |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +24 | 138 | Won |
| Massey | UCLA -17.2 (+6.8) | — | — |
| Massey Totals | — | 133.8 (+4.2) | — |
| Bradley-Terry | — | — | 98% ✓ |
| Weighted B-T | — | — | 99% ✓ |
| Baseline Plus ML | UCLA -14.4 (+9.6) | 138.4 (-0.4) | 88% ✓ |
| Efficiency Plus ML ★ | UCLA -15.1 (+8.9) | 135.5 (+2.5) | 88% ✓ |
| Baseline Tuned ML | UCLA -14.5 (+9.5) | 137.3 (+0.7) | 88% ✓ |
| Baseline ML | UCLA -14.8 (+9.2) | 137.2 (+0.8) | 88% ✓ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Nov 26, 2025 | CAL 80 – 72 UCLA |
| Feb 10, 2024 | UCLA 61 – 60 CAL |
| Jan 7, 2024 | CAL 66 – 57 UCLA |
| Feb 19, 2023 | UCLA 78 – 43 CAL |
| Jan 9, 2022 | UCLA 60 – 52 CAL |
Team Comparison
| Record & Ratings | UCLA | CAL |
|---|---|---|
| Overall | 27-8 | 12-20 |
| Conference | 15-5 | 5-15 |
| Home | 14-1 | 10-8 |
| Away | 8-4 | 2-9 |
| Neutral | 5-3 | 0-3 |
| Last 5 | 4-1 | 0-5 |
| Streak | L1 | L3 |
| Avg Pts For | 75.4 | 63.1 |
| Avg Pts Against | 64.5 | 66.1 |
| Massey | 16.4 (#13) | 2.5 (#124) |
| Bradley-Terry | 3.40 (#7) | 0.17 (#160) |
| W. Bradley-Terry | 4.47 (#5) | 0.38 (#146) |
| RPI | 0.628 (#15) | 0.478 (#202) |
| Shooting & Four Factors | UCLA | CAL |
|---|---|---|
| FG% | 45.7% | 43.6% |
| 3PT% | 36.7% | 33.5% |
| REB / G | 37.8 | 35.8 |
| OREB / G | 11.6 | 8.6 |
| AST / TO | 1.49 | 0.98 |
| Four Factors — Offense | ||
| eFG% | 51.8% | 48.5% |
| TOV% | 13.9% | 16.8% |
| ORB% | 32.2% | 25.3% |
| FT Rate | 21.1% | 18.0% |
| Four Factors — Defense | ||
| Opp eFG% | 47.4% | 46.3% |
| Opp TOV% | 19.6% | 15.1% |
| DRB% | 74.2% | 77.1% |
| Opp FT Rate | 18.9% | 21.6% |
Game Analysis
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