Betting Lines
| Spread | UCLA -5.5 Away covered |
| O/U | 136.5 Over |
| Money | STAN +210 UCLA -300 |
Model Predictions
| Spread | Total | STAN win | |
|---|---|---|---|
| Actual | UCLA +14 | 146 | Lost |
| Massey | UCLA -7.2 (-6.8) | — | — |
| Massey Totals | — | 136.4 (+9.6) | — |
| Bradley-Terry | — | — | 44% ✓ |
| Weighted B-T | — | — | 37% ✓ |
| Baseline Tuned ML | UCLA -6.2 (-7.8) | 138.3 (+7.7) | 30% ✓ |
| Efficiency Plus ML ★ | UCLA -7.1 (-6.9) | 136.4 (+9.6) | 23% ✓ |
| Baseline Plus ML | UCLA -6.9 (-7.1) | 139.3 (+6.7) | 27% ✓ |
| Baseline ML | UCLA -5.9 (-8.1) | 140.1 (+5.9) | 25% ✓ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Feb 8, 2024 | UCLA 82 – 74 STAN |
| Jan 4, 2024 | STAN 59 – 53 UCLA |
| Feb 17, 2023 | UCLA 73 – 64 STAN |
| Feb 9, 2022 | UCLA 79 – 70 STAN |
| Jan 30, 2022 | UCLA 66 – 43 STAN |
Team Comparison
| Record & Ratings | STAN | UCLA |
|---|---|---|
| Overall | 14-19 | 31-6 |
| Conference | 7-13 | 18-2 |
| Home | 9-6 | 17-0 |
| Away | 2-8 | 9-2 |
| Neutral | 3-5 | 5-4 |
| Last 5 | 2-3 | 3-2 |
| Streak | L1 | L1 |
| Avg Pts For | 70.3 | 74.1 |
| Avg Pts Against | 68.4 | 60.7 |
| Massey | 1.9 (#144) | 15.6 (#12) |
| Bradley-Terry | -0.85 (#256) | 0.71 (#126) |
| W. Bradley-Terry | -0.43 (#214) | 1.64 (#96) |
| RPI | 0.486 (#199) | 0.554 (#98) |
| Shooting & Four Factors | STAN | UCLA |
|---|---|---|
| FG% | 42.3% | 50.4% |
| 3PT% | 28.3% | 39.1% |
| REB / G | 37.6 | 36.1 |
| OREB / G | 10.7 | 10.7 |
| AST / TO | 0.88 | 1.75 |
| Four Factors — Offense | ||
| eFG% | 48.4% | 56.3% |
| TOV% | 21.1% | 14.3% |
| ORB% | 31.0% | 31.9% |
| FT Rate | 24.2% | 17.7% |
| Four Factors — Defense | ||
| Opp eFG% | 47.9% | 47.9% |
| Opp TOV% | 17.8% | 24.0% |
| DRB% | 81.0% | 73.9% |
| Opp FT Rate | 20.8% | 16.9% |
Game Analysis
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