Betting Lines
| Spread | UCLA -7.5 Away covered |
| O/U | 133.5 Over |
Model Predictions
| Spread | Total | STAN win | |
|---|---|---|---|
| Actual | UCLA +9 | 149 | Lost |
| Massey | UCLA -8.2 (-0.8) | — | — |
| Massey Totals | — | 140.6 (+8.4) | — |
| Bradley-Terry | — | — | 40% ✓ |
| Weighted B-T | — | — | 24% ✓ |
| Baseline Tuned ML | UCLA -5.0 (-4.0) | 139.8 (+9.2) | 33% ✓ |
| Efficiency Plus ML ★ | UCLA -5.8 (-3.2) | 137.8 (+11.2) | 30% ✓ |
| Baseline Plus ML | UCLA -6.0 (-3.0) | 139.5 (+9.5) | 32% ✓ |
| Baseline ML | UCLA -5.4 (-3.6) | 139.2 (+9.8) | 33% ✓ |
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 |
| Dec 2, 2022 | UCLA 80 – 66 STAN |
| Jan 30, 2022 | UCLA 66 – 43 STAN |
Team Comparison
| Record & Ratings | STAN | UCLA |
|---|---|---|
| Overall | 16-16 | 27-8 |
| Conference | 8-12 | 15-5 |
| Home | 10-5 | 14-1 |
| Away | 3-9 | 8-4 |
| Neutral | 3-2 | 5-3 |
| Last 5 | 3-2 | 3-2 |
| Streak | L1 | L1 |
| Avg Pts For | 66.4 | 75.4 |
| Avg Pts Against | 68.7 | 64.5 |
| Massey | 5.3 (#99) | 16.6 (#15) |
| Bradley-Terry | 1.99 (#46) | 2.95 (#14) |
| W. Bradley-Terry | 2.24 (#50) | 3.98 (#12) |
| RPI | 0.588 (#42) | 0.609 (#25) |
| Shooting & Four Factors | STAN | UCLA |
|---|---|---|
| FG% | 43.1% | 44.7% |
| 3PT% | 33.7% | 34.2% |
| REB / G | 37.9 | 38.1 |
| OREB / G | 12.0 | 11.6 |
| AST / TO | 0.86 | 1.52 |
| Four Factors — Offense | ||
| eFG% | 49.4% | 50.3% |
| TOV% | 22.7% | 13.5% |
| ORB% | 35.0% | 31.1% |
| FT Rate | 23.2% | 21.4% |
| Four Factors — Defense | ||
| Opp eFG% | 50.6% | 47.2% |
| Opp TOV% | 17.2% | 20.1% |
| DRB% | 77.7% | 74.9% |
| Opp FT Rate | 20.4% | 20.3% |
Game Analysis
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