Betting Lines
| Spread | MICH -15.5 Home covered |
| O/U | 156.5 Under |
| Money | MICH -1800 UCLA +1000 |
Model Predictions
| Spread | Total | MICH win | |
|---|---|---|---|
| Actual | MICH +30 | 142 | Won |
| Massey | MICH -19.4 (+10.6) | — | — |
| Massey Totals | — | 156.0 (-14.0) | — |
| Bradley-Terry | — | — | 96% ✓ |
| Weighted B-T | — | — | 99% ✓ |
| Baseline Plus ML | MICH -18.5 (+11.5) | 152.6 (-10.6) | 89% ✓ |
| Model 4 ML ★ | MICH -15.2 (+14.8) | 155.9 (-13.9) | 88% ✓ |
| Model 3 ML | MICH -17.5 (+12.5) | 151.4 (-9.4) | 89% ✓ |
| Baseline ML | MICH -18.0 (+12.0) | 154.0 (-12.0) | 89% ✓ |
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 8, 2025 | MICH 94 – 75 UCLA |
| Mar 31, 2021 | UCLA 51 – 49 MICH |
Team Comparison
| Record & Ratings | MICH | UCLA |
|---|---|---|
| Overall | 37-3 | 24-12 |
| Conference | 19-1 | 13-7 |
| Home | 14-1 | 17-1 |
| Away | 11-0 | 4-6 |
| Neutral | 12-2 | 3-5 |
| Last 5 | 5-0 | 4-1 |
| Streak | W6 | L1 |
| Avg Pts For | 87.3 | 77.1 |
| Avg Pts Against | 69.5 | 71.1 |
| Massey | 30.1 (#1) | 13.7 (#42) |
| Bradley-Terry | 4.97 (#2) | 2.24 (#42) |
| W. Bradley-Terry | 6.65 (#2) | 2.76 (#47) |
| RPI | 0.688 (#1) | 0.567 (#61) |
| Shooting & Four Factors | MICH | UCLA |
|---|---|---|
| FG% | 51.0% | 47.2% |
| 3PT% | 35.4% | 38.5% |
| REB / G | 42.0 | 32.9 |
| OREB / G | 11.8 | 10.1 |
| AST / TO | 1.58 | 1.69 |
| Four Factors — Offense | ||
| eFG% | 58.5% | 53.8% |
| TOV% | 16.5% | 13.9% |
| ORB% | 36.8% | 31.5% |
| FT Rate | 29.0% | 28.3% |
| Four Factors — Defense | ||
| Opp eFG% | 43.2% | 49.1% |
| Opp TOV% | 16.7% | 18.9% |
| DRB% | 72.2% | 68.1% |
| Opp FT Rate | 20.3% | 27.1% |
Game Analysis
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