Betting Lines
| Spread | UCSB -8.0 Home covered |
| O/U | 137.0 Over |
Model Predictions
| Spread | Total | UCSB win | |
|---|---|---|---|
| Actual | UCSB +12 | 160 | Won |
| Massey | UCSB -17.9 (-5.9) | — | — |
| Massey Totals | — | 137.0 (+23.0) | — |
| Bradley-Terry | — | — | 64% ✓ |
| Weighted B-T | — | — | 63% ✓ |
| Baseline Tuned ML | UCSB -12.9 (-0.9) | 138.0 (+22.0) | 86% ✓ |
| Efficiency Plus ML ★ | UCSB -12.5 (-0.5) | 136.6 (+23.4) | 85% ✓ |
| Baseline Plus ML | UCSB -13.1 (-1.1) | 136.6 (+23.4) | 86% ✓ |
| Baseline ML | UCSB -12.8 (-0.8) | 138.0 (+22.0) | 87% ✓ |
Predictions use only rating snapshots dated before tip-off. Parenthesised values are the signed error vs. the actual result. Model performance →
Last 5 Meetings
| Dec 11, 2022 | UCSB 67 – 64 PEPP |
| Dec 19, 2020 | UCSB 75 – 63 PEPP |
Team Comparison
| Record & Ratings | UCSB | PEPP |
|---|---|---|
| Overall | 17-11 | 7-25 |
| Conference | 8-5 | 1-15 |
| Home | 11-3 | 7-9 |
| Away | 5-7 | 0-13 |
| Neutral | 1-1 | 0-3 |
| Last 5 | 2-2 | 0-5 |
| Streak | L1 | L7 |
| Avg Pts For | 71.5 | 67.3 |
| Avg Pts Against | 65.8 | 77.8 |
| Massey | 3.6 (#106) | -8.4 (#313) |
| Bradley-Terry | -1.62 (#295) | -1.06 (#259) |
| W. Bradley-Terry | -2.12 (#285) | -1.30 (#257) |
| RPI | 0.368 (#330) | 0.458 (#244) |
| Shooting & Four Factors | UCSB | PEPP |
|---|---|---|
| FG% | 48.2% | 40.0% |
| 3PT% | 33.3% | 32.0% |
| REB / G | 37.5 | 33.0 |
| OREB / G | 11.2 | 9.2 |
| AST / TO | 1.21 | 0.90 |
| Four Factors — Offense | ||
| eFG% | 52.7% | 46.0% |
| TOV% | 20.6% | 21.9% |
| ORB% | 35.7% | 25.8% |
| FT Rate | 28.2% | 18.4% |
| Four Factors — Defense | ||
| Opp eFG% | 42.5% | 51.9% |
| Opp TOV% | 19.3% | 20.0% |
| DRB% | 69.5% | 69.3% |
| Opp FT Rate | 22.2% | 22.2% |
Game Analysis
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