Betting Lines
| Spread | WSU -6.5 Home covered |
| O/U | 127.5 Over |
| Money | WSU -300 UCLA +225 |
Model Predictions
| Spread | Total | WSU win | |
|---|---|---|---|
| Actual | WSU +12 | 142 | Won |
| Massey | WSU -9.9 (+2.1) | — | — |
| Massey Totals | — | 124.8 (+17.2) | — |
| Bradley-Terry | — | — | 89% ✓ |
| Weighted B-T | — | — | 90% ✓ |
| Baseline Tuned ML | WSU -9.7 (+2.3) | 133.5 (+8.5) | 82% ✓ |
| Efficiency Plus ML ★ | WSU -9.4 (+2.6) | 131.3 (+10.7) | 79% ✓ |
| Baseline Plus ML | WSU -10.7 (+1.3) | 134.2 (+7.8) | 83% ✓ |
| Baseline ML | WSU -9.6 (+2.4) | 133.5 (+8.5) | 83% ✓ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| 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 |
| Feb 12, 2021 | WSU 81 – 73 UCLA |
Team Comparison
| Record & Ratings | WSU | UCLA |
|---|---|---|
| Overall | 25-10 | 16-17 |
| Conference | 14-6 | 10-10 |
| Home | 15-2 | 9-7 |
| Away | 6-4 | 5-6 |
| Neutral | 4-4 | 1-4 |
| Last 5 | 4-1 | 2-3 |
| Streak | L1 | L1 |
| Avg Pts For | 73.5 | 65.7 |
| Avg Pts Against | 66.7 | 66.0 |
| Massey | 11.7 (#43) | 5.1 (#101) |
| Bradley-Terry | 2.11 (#30) | 0.60 (#120) |
| W. Bradley-Terry | 2.35 (#40) | 0.86 (#118) |
| RPI | 0.586 (#42) | 0.507 (#159) |
| Shooting & Four Factors | WSU | UCLA |
|---|---|---|
| FG% | 47.1% | 41.3% |
| 3PT% | 35.2% | 31.5% |
| REB / G | 37.4 | 33.8 |
| OREB / G | 10.8 | 10.4 |
| AST / TO | 1.19 | 1.03 |
| Four Factors — Offense | ||
| eFG% | 52.6% | 45.9% |
| TOV% | 15.8% | 16.3% |
| ORB% | 31.9% | 30.7% |
| FT Rate | 22.6% | 26.6% |
| Four Factors — Defense | ||
| Opp eFG% | 46.6% | 50.0% |
| Opp TOV% | 15.8% | 18.5% |
| DRB% | 74.5% | 72.8% |
| Opp FT Rate | 24.8% | 24.7% |
Game Analysis
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