Betting Lines
| Spread | NEB -2.5 Home covered |
| O/U | 134.5 Under |
| Money | NEB -150 UCLA +130 |
Model Predictions
| Spread | Total | NEB win | |
|---|---|---|---|
| Actual | NEB +8 | 124 | Won |
| Massey | UCLA -1.4 (+9.4) | — | — |
| Massey Totals | — | 128.9 (-4.9) | — |
| Bradley-Terry | — | — | 65% ✓ |
| Weighted B-T | — | — | 72% ✓ |
| Baseline Plus ML | NEB -0.8 (+7.2) | 134.4 (-10.4) | 58% ✓ |
| Model 4 ML ★ | NEB -0.6 (+7.4) | 132.8 (-8.8) | 66% ✓ |
| Model 3 ML | NEB -1.3 (+6.7) | 131.4 (-7.4) | 55% ✓ |
| Baseline ML | NEB -0.9 (+7.1) | 132.8 (-8.8) | 58% ✓ |
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 4, 2026 | UCLA 72 – 52 NEB |
Team Comparison
| Record & Ratings | NEB | UCLA |
|---|---|---|
| Overall | 21-14 | 23-11 |
| Conference | 7-13 | 13-7 |
| Home | 10-6 | 15-2 |
| Away | 5-7 | 5-5 |
| Neutral | 6-1 | 3-4 |
| Last 5 | 5-0 | 4-1 |
| Streak | W4 | L1 |
| Avg Pts For | 76.0 | 74.2 |
| Avg Pts Against | 72.6 | 65.2 |
| Massey | 12.4 (#45) | 17.9 (#16) |
| Bradley-Terry | 2.64 (#30) | 2.77 (#24) |
| W. Bradley-Terry | 3.50 (#30) | 3.42 (#34) |
| RPI | 0.623 (#22) | 0.596 (#44) |
| Shooting & Four Factors | NEB | UCLA |
|---|---|---|
| FG% | 47.2% | 47.3% |
| 3PT% | 34.4% | 37.1% |
| REB / G | 36.8 | 34.6 |
| OREB / G | 9.1 | 11.4 |
| AST / TO | 1.14 | 1.45 |
| Four Factors — Offense | ||
| eFG% | 53.8% | 53.8% |
| TOV% | 17.3% | 16.7% |
| ORB% | 28.3% | 34.1% |
| FT Rate | 30.6% | 23.9% |
| Four Factors — Defense | ||
| Opp eFG% | 45.6% | 46.3% |
| Opp TOV% | 20.3% | 26.8% |
| DRB% | 72.1% | 72.1% |
| Opp FT Rate | 19.8% | 24.0% |
Game Analysis
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