Betting Lines
| Spread | UCLA -6.0 Away covered |
| O/U | 129.5 Over |
| Money | ORST +222 UCLA -278 |
Model Predictions
| Spread | Total | ORST win | |
|---|---|---|---|
| Actual | UCLA +7 | 131 | Lost |
| Massey | UCLA -0.7 (-6.3) | — | — |
| Massey Totals | — | 133.0 (-2.0) | — |
| Bradley-Terry | — | — | 95% ✗ |
| Weighted B-T | — | — | 98% ✗ |
| Efficiency Plus ML ★ | UCLA -1.7 (-5.3) | 133.9 (-2.9) | 39% ✓ |
| Baseline Tuned ML | ORST -2.3 (-9.3) | 132.7 (-1.7) | 62% ✗ |
| Baseline ML | ORST -1.2 (-8.2) | 134.0 (-3.0) | 58% ✗ |
| Baseline Plus ML | ORST -1.5 (-8.5) | 133.7 (-2.7) | 58% ✗ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Mar 13, 2024 | UCLA 67 – 57 ORST |
| Feb 2, 2024 | UCLA 71 – 63 ORST |
| Feb 10, 2023 | UCLA 62 – 47 ORST |
| Feb 26, 2022 | UCLA 94 – 55 ORST |
| Jan 16, 2022 | UCLA 81 – 65 ORST |
Team Comparison
| Record & Ratings | ORST | UCLA |
|---|---|---|
| Overall | 13-19 | 16-17 |
| Conference | 5-15 | 10-10 |
| Home | 12-6 | 9-7 |
| Away | 1-9 | 5-6 |
| Neutral | 0-4 | 1-4 |
| Last 5 | 5-0 | 1-4 |
| Streak | L2 | L1 |
| Avg Pts For | 68.5 | 65.7 |
| Avg Pts Against | 73.5 | 66.0 |
| Massey | -2.4 (#214) | 2.7 (#129) |
| Bradley-Terry | 0.65 (#124) | -1.38 (#290) |
| W. Bradley-Terry | 0.63 (#138) | -2.06 (#301) |
| RPI | 0.529 (#131) | 0.436 (#281) |
| Shooting & Four Factors | ORST | UCLA |
|---|---|---|
| FG% | 43.6% | 41.5% |
| 3PT% | 29.7% | 29.1% |
| REB / G | 36.1 | 34.9 |
| OREB / G | 9.1 | 10.7 |
| AST / TO | 0.86 | 0.97 |
| Four Factors — Offense | ||
| eFG% | 48.5% | 45.2% |
| TOV% | 19.9% | 16.8% |
| ORB% | 27.8% | 31.7% |
| FT Rate | 30.9% | 30.8% |
| Four Factors — Defense | ||
| Opp eFG% | 47.3% | 47.0% |
| Opp TOV% | 18.2% | 19.2% |
| DRB% | 69.2% | 73.6% |
| Opp FT Rate | 24.3% | 27.2% |
Game Analysis
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