Betting Lines
| Spread | UCLA -11.5 Home covered |
| O/U | 134.5 Under |
| Money | UCLA -800 STAN +550 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +23 | 109 | Won |
| Massey | UCLA -15.1 (+7.9) | — | — |
| Massey Totals | — | 143.9 (-34.9) | — |
| Bradley-Terry | — | — | 86% ✓ |
| Weighted B-T | — | — | 94% ✓ |
| Baseline Tuned ML | UCLA -12.8 (+10.2) | 143.1 (-34.1) | 87% ✓ |
| Efficiency Plus ML ★ | UCLA -12.6 (+10.4) | 137.6 (-28.6) | 87% ✓ |
| Baseline Plus ML | UCLA -13.4 (+9.6) | 137.7 (-28.7) | 87% ✓ |
| Baseline ML | UCLA -11.9 (+11.1) | 141.2 (-32.2) | 86% ✓ |
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 |
| Feb 9, 2022 | UCLA 79 – 70 STAN |
Team Comparison
| Record & Ratings | UCLA | STAN |
|---|---|---|
| Overall | 27-8 | 16-16 |
| Conference | 15-5 | 8-12 |
| Home | 14-1 | 10-5 |
| Away | 8-4 | 3-9 |
| Neutral | 5-3 | 3-2 |
| Last 5 | 5-0 | 3-2 |
| Streak | L1 | L1 |
| Avg Pts For | 75.4 | 66.4 |
| Avg Pts Against | 64.5 | 68.7 |
| Massey | 17.1 (#13) | 5.2 (#98) |
| Bradley-Terry | 3.45 (#7) | 2.13 (#41) |
| W. Bradley-Terry | 4.52 (#4) | 2.41 (#50) |
| RPI | 0.632 (#14) | 0.602 (#35) |
| Shooting & Four Factors | UCLA | STAN |
|---|---|---|
| FG% | 46.1% | 43.6% |
| 3PT% | 37.1% | 35.7% |
| REB / G | 37.5 | 37.6 |
| OREB / G | 11.5 | 12.1 |
| AST / TO | 1.48 | 0.88 |
| Four Factors — Offense | ||
| eFG% | 52.2% | 50.2% |
| TOV% | 13.9% | 22.6% |
| ORB% | 32.1% | 35.3% |
| FT Rate | 21.2% | 24.1% |
| Four Factors — Defense | ||
| Opp eFG% | 47.6% | 51.9% |
| Opp TOV% | 19.9% | 17.7% |
| DRB% | 74.7% | 77.4% |
| Opp FT Rate | 18.5% | 20.4% |
Game Analysis
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