Betting Lines
| Spread | MICH -6.5 Away covered |
| O/U | 137.5 Under |
| Money | MICH -250 UCLA +250 |
Model Predictions
| Spread | Total | MICH win | |
|---|---|---|---|
| Actual | UCLA +2 | 100 | Lost |
| Massey | MICH -5.8 (-7.8) | — | — |
| Massey Totals | — | 139.6 (-39.6) | — |
| Bradley-Terry | — | — | 70% ✗ |
| Weighted B-T | — | — | 73% ✗ |
| Baseline Tuned ML | MICH -4.2 (-6.2) | 142.6 (-42.6) | 67% ✗ |
| Efficiency Plus ML ★ | MICH -2.6 (-4.6) | 136.6 (-36.6) | 59% ✗ |
| Baseline Plus ML | MICH -3.9 (-5.9) | 141.2 (-41.2) | 60% ✗ |
| Baseline ML | MICH -4.1 (-6.1) | 142.5 (-42.5) | 63% ✗ |
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 |
| Jan 8, 2025 | MICH 94 – 75 UCLA |
Team Comparison
| Record & Ratings | MICH | UCLA |
|---|---|---|
| Overall | 23-5 | 22-10 |
| Conference | 14-3 | 13-6 |
| Home | 13-1 | 11-1 |
| Away | 6-2 | 5-6 |
| Neutral | 4-2 | 6-3 |
| Last 5 | 4-1 | 4-1 |
| Streak | L1 | L1 |
| Avg Pts For | 75.8 | 73.4 |
| Avg Pts Against | 65.1 | 68.4 |
| Massey | 19.4 (#5) | 13.5 (#22) |
| Bradley-Terry | 3.46 (#3) | 2.63 (#16) |
| W. Bradley-Terry | 4.44 (#3) | 3.45 (#14) |
| RPI | 0.632 (#4) | 0.608 (#14) |
| Shooting & Four Factors | MICH | UCLA |
|---|---|---|
| FG% | 48.5% | 46.0% |
| 3PT% | 38.3% | 37.2% |
| REB / G | 37.4 | 35.5 |
| OREB / G | 9.1 | 10.3 |
| AST / TO | 1.43 | 1.26 |
| Four Factors — Offense | ||
| eFG% | 55.1% | 51.9% |
| TOV% | 16.5% | 15.9% |
| ORB% | 29.4% | 30.9% |
| FT Rate | 23.7% | 22.9% |
| Four Factors — Defense | ||
| Opp eFG% | 44.5% | 50.1% |
| Opp TOV% | 14.7% | 17.4% |
| DRB% | 75.2% | 75.0% |
| Opp FT Rate | 18.7% | 20.4% |
Game Analysis
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