Betting Lines
| Spread | UCLA -1.5 Away covered |
| O/U | 149.5 Over |
| Money | UCLA -115 UNC -105 |
Model Predictions
| Spread | Total | UCLA win | |
|---|---|---|---|
| Actual | UNC +2 | 150 | Lost |
| Massey | UCLA -4.2 (-6.2) | — | — |
| Massey Totals | — | 150.2 (-0.2) | — |
| Bradley-Terry | — | — | 75% ✗ |
| Weighted B-T | — | — | 66% ✗ |
| Baseline Tuned ML | UCLA -4.4 (-6.4) | 145.8 (+4.2) | 65% ✗ |
| Efficiency Plus ML ★ | UCLA -2.3 (-4.3) | 145.9 (+4.1) | 56% ✗ |
| Baseline Plus ML | UCLA -3.4 (-5.4) | 148.0 (+2.0) | 62% ✗ |
| Baseline ML | UCLA -4.0 (-6.0) | 146.4 (+3.6) | 64% ✗ |
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 26, 2022 | UNC 73 – 66 UCLA |
Team Comparison
| Record & Ratings | UCLA | UNC |
|---|---|---|
| Overall | 23-11 | 23-14 |
| Conference | 13-7 | 13-7 |
| Home | 15-2 | 12-3 |
| Away | 5-5 | 6-6 |
| Neutral | 3-4 | 5-5 |
| Last 5 | 5-0 | 2-3 |
| Streak | L1 | L1 |
| Avg Pts For | 74.2 | 80.7 |
| Avg Pts Against | 65.2 | 74.7 |
| Massey | 17.7 (#12) | 13.5 (#34) |
| Bradley-Terry | 3.03 (#15) | 1.92 (#53) |
| W. Bradley-Terry | 3.35 (#34) | 2.69 (#50) |
| RPI | 0.594 (#46) | 0.628 (#21) |
| Shooting & Four Factors | UCLA | UNC |
|---|---|---|
| FG% | 48.1% | 46.8% |
| 3PT% | 34.7% | 31.3% |
| REB / G | 35.0 | 39.2 |
| OREB / G | 11.7 | 10.5 |
| AST / TO | 1.52 | 1.31 |
| Four Factors — Offense | ||
| eFG% | 54.0% | 52.6% |
| TOV% | 15.9% | 14.1% |
| ORB% | 35.2% | 28.6% |
| FT Rate | 23.9% | 28.2% |
| Four Factors — Defense | ||
| Opp eFG% | 45.0% | 49.5% |
| Opp TOV% | 27.4% | 15.9% |
| DRB% | 71.9% | 71.6% |
| Opp FT Rate | 23.2% | 20.9% |
Game Analysis
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