Betting Lines
| Spread | UCLA -11.5 Home covered |
| O/U | 127.5 Over |
| Money | UCLA -1000 WSU +550 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +24 | 128 | Won |
| Massey | UCLA -13.2 (+10.8) | — | — |
| Massey Totals | — | 127.6 (+0.4) | — |
| Bradley-Terry | — | — | 95% ✓ |
| Weighted B-T | — | — | 96% ✓ |
| Baseline Tuned ML | UCLA -11.8 (+12.2) | 131.0 (-3.0) | 87% ✓ |
| Efficiency Plus ML ★ | UCLA -11.6 (+12.4) | 128.3 (-0.3) | 86% ✓ |
| Baseline Plus ML | UCLA -11.2 (+12.8) | 130.5 (-2.5) | 87% ✓ |
| Baseline ML | UCLA -11.4 (+12.6) | 130.6 (-2.6) | 88% ✓ |
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 |
| 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 | UCLA | WSU |
|---|---|---|
| Overall | 31-6 | 17-17 |
| Conference | 18-2 | 11-9 |
| Home | 17-0 | 10-4 |
| Away | 9-2 | 4-8 |
| Neutral | 5-4 | 3-5 |
| Last 5 | 3-2 | 1-4 |
| Streak | L1 | L2 |
| Avg Pts For | 74.1 | 68.4 |
| Avg Pts Against | 60.7 | 65.7 |
| Massey | 18.3 (#4) | 8.7 (#61) |
| Bradley-Terry | 2.79 (#12) | 0.51 (#127) |
| W. Bradley-Terry | 3.37 (#15) | 1.03 (#104) |
| RPI | 0.637 (#6) | 0.524 (#134) |
| Shooting & Four Factors | UCLA | WSU |
|---|---|---|
| FG% | 46.4% | 42.5% |
| 3PT% | 35.5% | 36.0% |
| REB / G | 35.7 | 35.0 |
| OREB / G | 12.1 | 11.2 |
| AST / TO | 1.41 | 0.91 |
| Four Factors — Offense | ||
| eFG% | 51.4% | 50.1% |
| TOV% | 15.5% | 19.4% |
| ORB% | 35.2% | 32.4% |
| FT Rate | 17.6% | 20.4% |
| Four Factors — Defense | ||
| Opp eFG% | 47.6% | 49.8% |
| Opp TOV% | 24.9% | 16.8% |
| DRB% | 71.6% | 74.3% |
| Opp FT Rate | 18.1% | 20.6% |
Game Analysis
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