Betting Lines
| Spread | UCLA -13.5 Away covered |
| O/U | 131.5 Over |
| Money | UCLA -1400 STAN +700 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +9 | 137 | Won |
| Massey | UCLA -16.8 (-7.8) | — | — |
| Massey Totals | — | 131.9 (+5.1) | — |
| Bradley-Terry | — | — | 97% ✓ |
| Weighted B-T | — | — | 98% ✓ |
| Baseline Tuned ML | UCLA -13.0 (-4.0) | 136.2 (+0.8) | 88% ✓ |
| Efficiency Plus ML ★ | UCLA -13.6 (-4.6) | 132.4 (+4.6) | 88% ✓ |
| Baseline Plus ML | UCLA -13.9 (-4.9) | 135.7 (+1.3) | 88% ✓ |
| Baseline ML | UCLA -14.8 (-5.8) | 136.4 (+0.6) | 88% ✓ |
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 |
| 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 | 31-6 | 14-19 |
| Conference | 18-2 | 7-13 |
| Home | 17-0 | 9-6 |
| Away | 9-2 | 2-8 |
| Neutral | 5-4 | 3-5 |
| Last 5 | 4-1 | 3-2 |
| Streak | L1 | L1 |
| Avg Pts For | 74.1 | 70.3 |
| Avg Pts Against | 60.7 | 68.4 |
| Massey | 18.7 (#4) | 5.6 (#92) |
| Bradley-Terry | 2.88 (#9) | 0.05 (#168) |
| W. Bradley-Terry | 3.47 (#8) | 0.34 (#144) |
| RPI | 0.635 (#5) | 0.476 (#223) |
| Shooting & Four Factors | UCLA | STAN |
|---|---|---|
| FG% | 46.4% | 44.4% |
| 3PT% | 36.2% | 33.9% |
| REB / G | 35.6 | 35.2 |
| OREB / G | 12.0 | 11.0 |
| AST / TO | 1.40 | 1.08 |
| Four Factors — Offense | ||
| eFG% | 51.5% | 51.3% |
| TOV% | 15.7% | 19.6% |
| ORB% | 34.9% | 32.4% |
| FT Rate | 17.4% | 21.3% |
| Four Factors — Defense | ||
| Opp eFG% | 47.2% | 51.1% |
| Opp TOV% | 25.0% | 19.0% |
| DRB% | 72.0% | 74.3% |
| Opp FT Rate | 18.6% | 19.8% |
Game Analysis
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