Betting Lines
| Spread | UCLA -8.5 Home covered |
| O/U | 134.5 Under |
| Money | WSU +310 UCLA -450 |
Model Predictions
| Spread | Total | WSU win | |
|---|---|---|---|
| Actual | UCLA +1 | 133 | Lost |
| Massey | UCLA -7.8 (+6.8) | — | — |
| Massey Totals | — | 135.7 (-2.7) | — |
| Bradley-Terry | — | — | 15% ✓ |
| Weighted B-T | — | — | 11% ✓ |
| Baseline Tuned ML | UCLA -7.7 (+6.7) | 135.7 (-2.7) | 22% ✓ |
| Efficiency Plus ML ★ | UCLA -5.7 (+4.7) | 131.4 (+1.6) | 25% ✓ |
| Baseline Plus ML | UCLA -6.7 (+5.7) | 133.6 (-0.6) | 20% ✓ |
| Baseline ML | UCLA -7.8 (+6.8) | 134.9 (-1.9) | 21% ✓ |
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 |
| Mar 11, 2022 | UCLA 75 – 65 WSU |
| Feb 18, 2022 | UCLA 76 – 56 WSU |
| Feb 12, 2021 | WSU 81 – 73 UCLA |
Team Comparison
| Record & Ratings | WSU | UCLA |
|---|---|---|
| Overall | 17-17 | 31-6 |
| Conference | 11-9 | 18-2 |
| Home | 10-4 | 17-0 |
| Away | 4-8 | 9-2 |
| Neutral | 3-5 | 5-4 |
| Last 5 | 1-4 | 5-0 |
| Streak | L2 | L1 |
| Avg Pts For | 68.4 | 74.1 |
| Avg Pts Against | 65.7 | 60.7 |
| Massey | 6.8 (#75) | 19.3 (#4) |
| Bradley-Terry | -0.17 (#189) | 2.44 (#23) |
| W. Bradley-Terry | 0.26 (#157) | 3.40 (#19) |
| RPI | 0.504 (#168) | 0.617 (#25) |
| Shooting & Four Factors | WSU | UCLA |
|---|---|---|
| FG% | 43.7% | 50.0% |
| 3PT% | 35.2% | 37.0% |
| REB / G | 35.0 | 35.4 |
| OREB / G | 11.2 | 10.9 |
| AST / TO | 0.82 | 1.58 |
| Four Factors — Offense | ||
| eFG% | 51.0% | 54.8% |
| TOV% | 21.0% | 14.4% |
| ORB% | 33.7% | 32.9% |
| FT Rate | 21.4% | 15.9% |
| Four Factors — Defense | ||
| Opp eFG% | 50.9% | 48.0% |
| Opp TOV% | 17.3% | 25.5% |
| DRB% | 76.5% | 71.3% |
| Opp FT Rate | 19.8% | 15.6% |
Game Analysis
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