Betting Lines
| Spread | UCLA -4.5 Away covered |
| O/U | 138.0 Under |
| Money | UCLA -210 STAN +175 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | STAN +6 | 112 | Lost |
| Massey | UCLA -3.1 (-9.1) | — | — |
| Massey Totals | — | 140.1 (-28.1) | — |
| Bradley-Terry | — | — | 59% ✗ |
| Weighted B-T | — | — | 52% ✗ |
| Baseline Tuned ML | UCLA -1.1 (-7.1) | 136.5 (-24.5) | 57% ✗ |
| Efficiency Plus ML ★ | UCLA -3.9 (-9.9) | 136.8 (-24.8) | 61% ✗ |
| Baseline Plus ML | UCLA -1.5 (-7.5) | 139.6 (-27.6) | 53% ✗ |
| Baseline ML | UCLA -1.0 (-7.0) | 138.1 (-26.1) | 53% ✗ |
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 |
| 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 | UCLA | STAN |
|---|---|---|
| Overall | 16-17 | 14-18 |
| Conference | 10-10 | 8-12 |
| Home | 9-7 | 10-6 |
| Away | 5-6 | 3-8 |
| Neutral | 1-4 | 1-4 |
| Last 5 | 1-4 | 3-2 |
| Streak | L1 | L1 |
| Avg Pts For | 65.7 | 76.3 |
| Avg Pts Against | 66.0 | 76.5 |
| Massey | 3.8 (#107) | 5.1 (#94) |
| Bradley-Terry | -0.39 (#214) | 0.13 (#164) |
| W. Bradley-Terry | -0.36 (#206) | 0.55 (#140) |
| RPI | 0.483 (#200) | 0.501 (#165) |
| Shooting & Four Factors | UCLA | STAN |
|---|---|---|
| FG% | 41.6% | 48.5% |
| 3PT% | 29.6% | 37.5% |
| REB / G | 34.8 | 36.4 |
| OREB / G | 11.1 | 7.8 |
| AST / TO | 1.00 | 1.42 |
| Four Factors — Offense | ||
| eFG% | 45.6% | 56.2% |
| TOV% | 17.2% | 17.5% |
| ORB% | 32.5% | 23.0% |
| FT Rate | 27.8% | 18.0% |
| Four Factors — Defense | ||
| Opp eFG% | 47.8% | 49.4% |
| Opp TOV% | 19.4% | 14.7% |
| DRB% | 73.0% | 73.5% |
| Opp FT Rate | 25.7% | 15.9% |
Game Analysis
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