Betting Lines
| Spread | UCSB -5.0 Away covered |
| O/U | 136.5 Under |
| Money | HAW +188 UCSB -225 |
Model Predictions
| Spread | Total | HAW win | |
|---|---|---|---|
| Actual | UCSB +9 | 109 | Lost |
| Massey | UCSB -6.1 (-2.9) | — | — |
| Massey Totals | — | 141.9 (-32.9) | — |
| Bradley-Terry | — | — | 26% ✓ |
| Weighted B-T | — | — | 26% ✓ |
| Baseline Tuned ML | UCSB -3.1 (-5.9) | 142.0 (-33.0) | 35% ✓ |
| Efficiency Plus ML ★ | UCSB -3.3 (-5.7) | 137.1 (-28.1) | 33% ✓ |
| Baseline Plus ML | UCSB -3.6 (-5.4) | 141.2 (-32.2) | 33% ✓ |
| Baseline ML | UCSB -3.3 (-5.7) | 141.8 (-32.8) | 29% ✓ |
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 22, 2026 | HAW 78 – 75 UCSB |
| Jan 18, 2026 | UCSB 77 – 62 HAW |
| Feb 9, 2025 | UCSB 76 – 72 HAW |
| Jan 3, 2025 | UCSB 64 – 61 HAW |
| Feb 17, 2024 | UCSB 77 – 71 HAW |
Team Comparison
| Record & Ratings | HAW | UCSB |
|---|---|---|
| Overall | 11-10 | 22-5 |
| Conference | 9-9 | 13-3 |
| Home | 7-5 | 11-0 |
| Away | 4-4 | 8-4 |
| Neutral | 0-1 | 3-1 |
| Last 5 | 4-1 | 5-0 |
| Streak | L2 | L1 |
| Avg Pts For | 70.1 | 73.4 |
| Avg Pts Against | 70.3 | 63.6 |
| Massey | 0.4 (#158) | 9.0 (#63) |
| Bradley-Terry | -0.22 (#187) | 1.26 (#77) |
| W. Bradley-Terry | -0.09 (#175) | 1.48 (#86) |
| RPI | 0.465 (#225) | 0.576 (#55) |
| Shooting & Four Factors | HAW | UCSB |
|---|---|---|
| FG% | 44.9% | 48.0% |
| 3PT% | 35.9% | 37.0% |
| REB / G | 34.7 | 34.2 |
| OREB / G | 9.8 | 8.5 |
| AST / TO | 0.91 | 1.49 |
| Four Factors — Offense | ||
| eFG% | 51.9% | 54.4% |
| TOV% | 19.2% | 16.0% |
| ORB% | 29.6% | 26.9% |
| FT Rate | 21.3% | 25.5% |
| Four Factors — Defense | ||
| Opp eFG% | 49.1% | 46.4% |
| Opp TOV% | 17.2% | 21.5% |
| DRB% | 74.8% | 74.9% |
| Opp FT Rate | 20.7% | 24.4% |
Game Analysis
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