Betting Lines
| Spread | STAN -3.5 Away covered |
| O/U | 135.5 Over |
| Money | STAN -175 UCLA +138 |
Model Predictions
| Spread | Total | STAN win | |
|---|---|---|---|
| Actual | UCLA +8 | 156 | Lost |
| Massey | STAN -5.2 (-13.2) | — | — |
| Massey Totals | — | 137.1 (+18.9) | — |
| Bradley-Terry | — | — | 73% ✗ |
| Weighted B-T | — | — | 74% ✗ |
| Baseline Tuned ML | STAN -4.7 (-12.7) | 136.9 (+19.1) | 68% ✗ |
| Efficiency Plus ML ★ | STAN -4.0 (-12.0) | 139.4 (+16.6) | 49% ✓ |
| Baseline Plus ML | STAN -3.7 (-11.7) | 138.4 (+17.6) | 61% ✗ |
| Baseline ML | STAN -4.6 (-12.6) | 136.7 (+19.3) | 63% ✗ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Jan 4, 2024 | STAN 59 – 53 UCLA |
| Feb 17, 2023 | UCLA 73 – 64 STAN |
| Dec 2, 2022 | UCLA 80 – 66 STAN |
| Feb 9, 2022 | UCLA 79 – 70 STAN |
| Jan 30, 2022 | UCLA 66 – 43 STAN |
Team Comparison
| Record & Ratings | STAN | UCLA |
|---|---|---|
| Overall | 14-18 | 16-17 |
| Conference | 8-12 | 10-10 |
| Home | 10-6 | 9-7 |
| Away | 3-8 | 5-6 |
| Neutral | 1-4 | 1-4 |
| Last 5 | 2-3 | 4-1 |
| Streak | L1 | L1 |
| Avg Pts For | 76.3 | 65.7 |
| Avg Pts Against | 76.5 | 66.0 |
| Massey | 6.3 (#90) | 4.5 (#108) |
| Bradley-Terry | 0.80 (#113) | 0.44 (#134) |
| W. Bradley-Terry | 1.16 (#103) | 0.77 (#122) |
| RPI | 0.520 (#138) | 0.502 (#168) |
| Shooting & Four Factors | STAN | UCLA |
|---|---|---|
| FG% | 47.0% | 41.4% |
| 3PT% | 39.1% | 31.7% |
| REB / G | 35.7 | 34.1 |
| OREB / G | 7.8 | 10.4 |
| AST / TO | 1.35 | 0.99 |
| Four Factors — Offense | ||
| eFG% | 55.0% | 45.9% |
| TOV% | 17.8% | 17.5% |
| ORB% | 23.2% | 31.0% |
| FT Rate | 20.9% | 26.7% |
| Four Factors — Defense | ||
| Opp eFG% | 50.3% | 48.5% |
| Opp TOV% | 14.7% | 18.7% |
| DRB% | 73.8% | 72.2% |
| Opp FT Rate | 17.1% | 25.1% |
Game Analysis
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