Betting Lines
| Spread | UCLA -4.5 Away covered |
| O/U | 128.0 Over |
| Money | UCLA -195 MD +162 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | MD +9 | 129 | Lost |
| Massey | UCLA -3.5 (-12.5) | — | — |
| Massey Totals | — | 125.2 (+3.8) | — |
| Bradley-Terry | — | — | 49% ✓ |
| Weighted B-T | — | — | 38% ✓ |
| Efficiency Plus ML ★ | UCLA -2.1 (-11.1) | 133.4 (-4.4) | 53% ✗ |
| Baseline Tuned ML | UCLA -1.6 (-10.6) | 133.3 (-4.3) | 54% ✗ |
| Baseline ML | UCLA -1.2 (-10.2) | 132.9 (-3.9) | 49% ✓ |
| Baseline Plus ML | UCLA -0.9 (-9.9) | 132.4 (-3.4) | 50% ✓ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Jan 11, 2026 | UCLA 67 – 55 MD |
| Jan 11, 2025 | MD 79 – 61 UCLA |
| Dec 15, 2022 | UCLA 87 – 60 MD |
Team Comparison
| Record & Ratings | UCLA | MD |
|---|---|---|
| Overall | 16-17 | 16-17 |
| Conference | 10-10 | 7-13 |
| Home | 9-7 | 11-6 |
| Away | 5-6 | 4-8 |
| Neutral | 1-4 | 1-3 |
| Last 5 | 1-4 | 4-1 |
| Streak | L1 | L1 |
| Avg Pts For | 65.7 | 69.0 |
| Avg Pts Against | 66.0 | 65.9 |
| Massey | 3.7 (#110) | 4.6 (#98) |
| Bradley-Terry | -0.95 (#265) | 0.03 (#181) |
| W. Bradley-Terry | -1.49 (#276) | 0.07 (#179) |
| RPI | 0.441 (#277) | 0.486 (#201) |
| Shooting & Four Factors | UCLA | MD |
|---|---|---|
| FG% | 42.6% | 41.0% |
| 3PT% | 31.5% | 26.7% |
| REB / G | 34.3 | 38.1 |
| OREB / G | 10.0 | 13.5 |
| AST / TO | 1.01 | 0.96 |
| Four Factors — Offense | ||
| eFG% | 46.6% | 46.4% |
| TOV% | 16.9% | 17.1% |
| ORB% | 30.2% | 35.4% |
| FT Rate | 29.1% | 33.9% |
| Four Factors — Defense | ||
| Opp eFG% | 46.7% | 46.0% |
| Opp TOV% | 19.6% | 21.9% |
| DRB% | 73.7% | 68.9% |
| Opp FT Rate | 25.5% | 22.8% |
Game Analysis
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