Betting Lines
| Spread | UCLA -27.5 Home covered |
| O/U | 146.5 Under |
| Money | UCLA -20000 SAC +3000 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UCLA +31 | 127 | Won |
| Massey | UCLA -15.2 (+15.8) | — | — |
| Massey Totals | — | 144.5 (-17.5) | — |
| Bradley-Terry | — | — | 96% ✓ |
| Weighted B-T | — | — | 99% ✓ |
| Baseline Plus ML | UCLA -12.9 (+18.1) | 138.3 (-11.3) | 84% ✓ |
| Model 4 ML ★ | UCLA -17.5 (+13.5) | 138.5 (-11.5) | 89% ✓ |
| Model 3 ML | UCLA -12.1 (+18.9) | 139.3 (-12.3) | 85% ✓ |
| Baseline ML | UCLA -13.7 (+17.3) | 140.4 (-13.4) | 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
| Nov 8, 2022 | UCLA 76 – 50 SAC |
Team Comparison
| Record & Ratings | UCLA | SAC |
|---|---|---|
| Overall | 24-12 | 10-21 |
| Conference | 13-7 | 6-12 |
| Home | 17-1 | 10-4 |
| Away | 4-6 | 0-16 |
| Neutral | 3-5 | 0-1 |
| Last 5 | 3-1 | 1-2 |
| Streak | L1 | L1 |
| Avg Pts For | 77.1 | 75.9 |
| Avg Pts Against | 71.1 | 83.6 |
| Massey | 3.2 (#119) | -5.1 (#267) |
| Bradley-Terry | 0.89 (#122) | -1.00 (#258) |
| W. Bradley-Terry | 1.50 (#116) | -1.56 (#263) |
| RPI | 0.526 (#155) | 0.429 (#263) |
| Shooting & Four Factors | UCLA | SAC |
|---|---|---|
| FG% | 46.8% | 47.6% |
| 3PT% | 34.6% | 35.6% |
| REB / G | 33.2 | 35.3 |
| OREB / G | 11.8 | 9.7 |
| AST / TO | 1.47 | 0.98 |
| Four Factors — Offense | ||
| eFG% | 52.8% | 52.4% |
| TOV% | 16.9% | 20.2% |
| ORB% | 36.7% | 29.3% |
| FT Rate | 23.0% | 30.1% |
| Four Factors — Defense | ||
| Opp eFG% | 52.0% | 50.0% |
| Opp TOV% | 22.5% | 15.1% |
| DRB% | 68.3% | 70.0% |
| Opp FT Rate | 17.2% | 29.8% |
Game Analysis
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