Betting Lines
| Spread | UCLA -19.0 Home covered |
| O/U | 144.5 Under |
| Money | BELL +1500 UCLA -4000 |
Model Predictions
| Spread | Total | BELL win | |
|---|---|---|---|
| Actual | UCLA +13 | 137 | Lost |
| Massey | UCLA -21.1 (+8.1) | — | — |
| Massey Totals | — | 162.4 (-25.4) | — |
| Bradley-Terry | — | — | 6% ✓ |
| Weighted B-T | — | — | 1% ✓ |
| Baseline Plus ML | UCLA -19.3 (+6.3) | 154.0 (-17.0) | 11% ✓ |
| Efficiency Plus ML ★ | UCLA -18.0 (+5.0) | 153.7 (-16.7) | 11% ✓ |
| Baseline Tuned ML | UCLA -14.9 (+1.9) | 156.5 (-19.5) | 13% ✓ |
| Baseline ML | UCLA -17.5 (+4.5) | 155.1 (-18.1) | 12% ✓ |
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 28, 2022 | UCLA 81 – 60 BELL |
Team Comparison
| Record & Ratings | BELL | UCLA |
|---|---|---|
| Neutral | 1-1 | 5-3 |
| Last 5 | 0-4 | 4-0 |
| Massey | -6.5 (#289) | 14.6 (#14) |
| Bradley-Terry | -1.01 (#251) | 1.77 (#54) |
| W. Bradley-Terry | -1.38 (#240) | 3.46 (#32) |
| RPI | 0.504 (#168) | 0.584 (#75) |
| Shooting & Four Factors | BELL | UCLA |
|---|---|---|
| FG% | 42.9% | 49.6% |
| 3PT% | 28.7% | 42.4% |
| REB / G | 25.5 | 43.5 |
| OREB / G | 6.2 | 14.0 |
| AST / TO | 0.64 | 1.67 |
| Four Factors — Offense | ||
| eFG% | 49.3% | 57.1% |
| TOV% | 22.8% | 13.9% |
| ORB% | 20.2% | 36.8% |
| FT Rate | 15.7% | 20.2% |
| Four Factors — Defense | ||
| Opp eFG% | 59.2% | 49.6% |
| Opp TOV% | 16.2% | 19.9% |
| DRB% | 63.6% | 79.2% |
| Opp FT Rate | 33.6% | 12.0% |
Game Analysis
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