Betting Lines
| Spread | UCLA -8.5 Home covered |
| O/U | 132.5 Over |
| Money | UCLA -400 WSU +350 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +30 | 152 | Won |
| Massey | UCLA -10.1 (+19.9) | — | — |
| Massey Totals | — | 134.4 (+17.6) | — |
| Bradley-Terry | — | — | 88% ✓ |
| Weighted B-T | — | — | 91% ✓ |
| Baseline Tuned ML | UCLA -9.4 (+20.6) | 138.8 (+13.2) | 82% ✓ |
| Efficiency Plus ML ★ | UCLA -8.3 (+21.7) | 138.6 (+13.4) | 83% ✓ |
| Baseline Plus ML | UCLA -11.0 (+19.0) | 138.9 (+13.1) | 84% ✓ |
| Baseline ML | UCLA -8.9 (+21.1) | 139.2 (+12.8) | 81% ✓ |
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 18, 2022 | UCLA 76 – 56 WSU |
Team Comparison
| Record & Ratings | UCLA | WSU |
|---|---|---|
| Overall | 22-10 | 14-13 |
| Conference | 13-6 | 7-12 |
| Home | 11-1 | 11-5 |
| Away | 5-6 | 3-6 |
| Neutral | 6-3 | 0-2 |
| Last 5 | 4-1 | 3-2 |
| Streak | L1 | L3 |
| Avg Pts For | 73.4 | 68.6 |
| Avg Pts Against | 68.4 | 67.4 |
| Massey | 10.6 (#44) | 3.2 (#118) |
| Bradley-Terry | 2.77 (#24) | 1.28 (#81) |
| W. Bradley-Terry | 3.57 (#29) | 1.72 (#87) |
| RPI | 0.625 (#22) | 0.505 (#165) |
| Shooting & Four Factors | UCLA | WSU |
|---|---|---|
| FG% | 46.4% | 40.3% |
| 3PT% | 36.6% | 33.1% |
| REB / G | 37.6 | 42.5 |
| OREB / G | 11.0 | 11.4 |
| AST / TO | 1.30 | 0.78 |
| Four Factors — Offense | ||
| eFG% | 52.4% | 46.9% |
| TOV% | 16.7% | 20.6% |
| ORB% | 32.7% | 29.7% |
| FT Rate | 28.8% | 28.3% |
| Four Factors — Defense | ||
| Opp eFG% | 48.3% | 40.1% |
| Opp TOV% | 17.7% | 17.8% |
| DRB% | 73.8% | 73.9% |
| Opp FT Rate | 20.1% | 19.8% |
Game Analysis
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