Betting Lines
| Spread | UCLA -1.5 Away covered |
| O/U | 143.5 Over |
| Money | UCLA -130 MICH +110 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | MICH +19 | 169 | Lost |
| Massey | UCLA -2.6 (-21.6) | — | — |
| Massey Totals | — | 139.1 (+29.9) | — |
| Bradley-Terry | — | — | 71% ✗ |
| Weighted B-T | — | — | 59% ✗ |
| Baseline Plus ML | UCLA -4.1 (-23.1) | 141.6 (+27.4) | 68% ✗ |
| Model 4 ML ★ | UCLA -1.6 (-20.6) | 141.0 (+28.0) | 65% ✗ |
| Model 3 ML | UCLA -2.5 (-21.5) | 140.7 (+28.3) | 63% ✗ |
| Baseline ML | UCLA -2.4 (-21.4) | 143.8 (+25.2) | 62% ✗ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Feb 14, 2026 | MICH 86 – 56 UCLA |
| Mar 31, 2021 | UCLA 51 – 49 MICH |
Team Comparison
| Record & Ratings | UCLA | MICH |
|---|---|---|
| Overall | 23-11 | 27-10 |
| Conference | 13-7 | 14-6 |
| Home | 15-2 | 13-3 |
| Away | 5-5 | 7-3 |
| Neutral | 3-4 | 7-4 |
| Last 5 | 3-2 | 3-2 |
| Streak | L1 | L1 |
| Avg Pts For | 74.2 | 78.0 |
| Avg Pts Against | 65.2 | 71.5 |
| Massey | 17.5 (#16) | 18.9 (#13) |
| Bradley-Terry | 2.76 (#27) | 2.61 (#34) |
| W. Bradley-Terry | 3.40 (#35) | 3.89 (#24) |
| RPI | 0.596 (#41) | 0.645 (#13) |
| Shooting & Four Factors | UCLA | MICH |
|---|---|---|
| FG% | 46.7% | 51.3% |
| 3PT% | 34.9% | 36.6% |
| REB / G | 34.6 | 39.4 |
| OREB / G | 11.0 | 11.6 |
| AST / TO | 1.40 | 1.16 |
| Four Factors — Offense | ||
| eFG% | 53.0% | 59.2% |
| TOV% | 17.0% | 21.1% |
| ORB% | 32.8% | 37.1% |
| FT Rate | 23.5% | 24.5% |
| Four Factors — Defense | ||
| Opp eFG% | 45.8% | 44.5% |
| Opp TOV% | 26.2% | 19.2% |
| DRB% | 72.4% | 70.6% |
| Opp FT Rate | 25.8% | 19.2% |
Game Analysis
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