Betting Lines
| Spread | UCLA -8.5 Home covered |
| O/U | 133.0 Over |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +10 | 140 | Won |
| Massey | UCLA -7.4 (+2.6) | — | — |
| Massey Totals | — | 135.1 (+4.9) | — |
| Bradley-Terry | — | — | 85% ✓ |
| Weighted B-T | — | — | 88% ✓ |
| Baseline Tuned ML | UCLA -7.0 (+3.0) | 139.5 (+0.5) | 76% ✓ |
| Efficiency Plus ML ★ | UCLA -5.9 (+4.1) | 136.5 (+3.5) | 72% ✓ |
| Baseline Plus ML | UCLA -6.3 (+3.7) | 138.4 (+1.6) | 74% ✓ |
| Baseline ML | UCLA -6.4 (+3.6) | 140.2 (-0.2) | 75% ✓ |
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 |
| Feb 18, 2022 | UCLA 76 – 56 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 | 4-1 | 4-1 |
| Streak | L1 | L1 |
| Avg Pts For | 75.4 | 71.5 |
| Avg Pts Against | 64.5 | 64.9 |
| Massey | 17.7 (#10) | 10.3 (#47) |
| Bradley-Terry | 2.98 (#15) | 1.24 (#80) |
| W. Bradley-Terry | 3.77 (#13) | 1.80 (#73) |
| RPI | 0.622 (#12) | 0.564 (#59) |
| Shooting & Four Factors | UCLA | WSU |
|---|---|---|
| FG% | 44.9% | 41.0% |
| 3PT% | 35.2% | 34.2% |
| REB / G | 37.3 | 36.9 |
| OREB / G | 11.7 | 12.6 |
| AST / TO | 1.55 | 0.99 |
| Four Factors — Offense | ||
| eFG% | 50.6% | 48.5% |
| TOV% | 13.3% | 16.8% |
| ORB% | 32.1% | 34.2% |
| FT Rate | 21.8% | 22.3% |
| Four Factors — Defense | ||
| Opp eFG% | 47.4% | 47.3% |
| Opp TOV% | 20.0% | 21.1% |
| DRB% | 75.2% | 70.2% |
| Opp FT Rate | 20.3% | 23.1% |
Game Analysis
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