Betting Lines
| Spread | UCLA -4.5 Home covered |
| O/U | 132.5 Over |
| Money | WSU +188 UCLA -188 |
Model Predictions
| Spread | Total | WSU win | |
|---|---|---|---|
| Actual | WSU +8 | 154 | Won |
| Massey | UCLA -4.7 (+12.7) | — | — |
| Massey Totals | — | 134.2 (+19.8) | — |
| Bradley-Terry | — | — | 26% ✗ |
| Weighted B-T | — | — | 20% ✗ |
| Baseline Tuned ML | UCLA -3.1 (+11.1) | 134.4 (+19.6) | 35% ✗ |
| Efficiency Plus ML ★ | UCLA -3.1 (+11.1) | 134.9 (+19.1) | 41% ✗ |
| Baseline Plus ML | UCLA -3.2 (+11.2) | 135.9 (+18.1) | 40% ✗ |
| Baseline ML | UCLA -2.7 (+10.7) | 134.1 (+19.9) | 43% ✗ |
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 | WSU | UCLA |
|---|---|---|
| Overall | 14-13 | 22-10 |
| Conference | 7-12 | 13-6 |
| Home | 11-5 | 11-1 |
| Away | 3-6 | 5-6 |
| Neutral | 0-2 | 6-3 |
| Last 5 | 2-3 | 3-2 |
| Streak | L3 | L1 |
| Avg Pts For | 68.6 | 73.4 |
| Avg Pts Against | 67.4 | 68.4 |
| Massey | 3.6 (#115) | 10.8 (#46) |
| Bradley-Terry | 0.88 (#104) | 2.36 (#30) |
| W. Bradley-Terry | 1.17 (#104) | 3.02 (#30) |
| RPI | 0.527 (#125) | 0.612 (#19) |
| Shooting & Four Factors | WSU | UCLA |
|---|---|---|
| FG% | 41.5% | 44.7% |
| 3PT% | 34.2% | 36.1% |
| REB / G | 37.4 | 36.9 |
| OREB / G | 10.7 | 11.4 |
| AST / TO | 0.73 | 1.30 |
| Four Factors — Offense | ||
| eFG% | 48.2% | 50.6% |
| TOV% | 21.4% | 16.4% |
| ORB% | 29.5% | 33.2% |
| FT Rate | 25.5% | 25.7% |
| Four Factors — Defense | ||
| Opp eFG% | 45.5% | 49.5% |
| Opp TOV% | 18.7% | 18.5% |
| DRB% | 72.6% | 75.0% |
| Opp FT Rate | 23.3% | 19.2% |
Game Analysis
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