Betting Lines
| Spread | UCLA -9.5 Home covered |
| O/U | 129.0 Over |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +20 | 132 | Won |
| Massey | UCLA -8.5 (+11.5) | — | — |
| Massey Totals | — | 135.1 (-3.1) | — |
| Bradley-Terry | — | — | 92% ✓ |
| Weighted B-T | — | — | 95% ✓ |
| Baseline Tuned ML | UCLA -8.9 (+11.1) | 138.0 (-6.0) | 80% ✓ |
| Efficiency Plus ML ★ | UCLA -9.1 (+10.9) | 136.1 (-4.1) | 83% ✓ |
| Baseline Plus ML | UCLA -8.3 (+11.7) | 139.7 (-7.7) | 83% ✓ |
| Baseline ML | UCLA -8.5 (+11.5) | 138.1 (-6.1) | 85% ✓ |
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 3, 2024 | WSU 77 – 65 UCLA |
| Feb 5, 2023 | UCLA 76 – 52 WSU |
| Dec 31, 2022 | UCLA 67 – 66 WSU |
| Mar 11, 2022 | UCLA 75 – 65 WSU |
| Feb 12, 2021 | WSU 81 – 73 UCLA |
Team Comparison
| Record & Ratings | UCLA | WSU |
|---|---|---|
| Overall | 27-8 | 22-15 |
| Conference | 15-5 | 11-9 |
| Home | 14-1 | 13-7 |
| Away | 8-4 | 8-5 |
| Neutral | 5-3 | 1-3 |
| Last 5 | 2-3 | 2-3 |
| Streak | L1 | L1 |
| Avg Pts For | 75.4 | 71.5 |
| Avg Pts Against | 64.5 | 64.9 |
| Massey | 16.7 (#14) | 11.1 (#36) |
| Bradley-Terry | 2.97 (#14) | 1.07 (#96) |
| W. Bradley-Terry | 3.91 (#9) | 1.60 (#83) |
| RPI | 0.620 (#16) | 0.557 (#71) |
| Shooting & Four Factors | UCLA | WSU |
|---|---|---|
| FG% | 44.5% | 41.1% |
| 3PT% | 34.2% | 33.3% |
| REB / G | 37.7 | 37.7 |
| OREB / G | 11.8 | 12.7 |
| AST / TO | 1.51 | 0.90 |
| Four Factors — Offense | ||
| eFG% | 50.0% | 48.5% |
| TOV% | 13.3% | 17.5% |
| ORB% | 31.7% | 34.4% |
| FT Rate | 21.3% | 21.5% |
| Four Factors — Defense | ||
| Opp eFG% | 48.0% | 46.0% |
| Opp TOV% | 20.1% | 21.7% |
| DRB% | 74.4% | 71.3% |
| Opp FT Rate | 19.8% | 21.3% |
Game Analysis
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