Betting Lines
| Spread | WKU -7.5 Away covered |
| O/U | 143.5 Under |
| Money | UTSA +275 WKU -300 |
Model Predictions
| Spread | Total | UTSA win | |
|---|---|---|---|
| Actual | WKU +10 | 138 | Lost |
| Massey | WKU -2.3 (-7.7) | — | — |
| Massey Totals | — | 147.1 (-9.1) | — |
| Bradley-Terry | — | — | 51% ✗ |
| Weighted B-T | — | — | 62% ✗ |
| Baseline Plus ML | WKU -1.7 (-8.3) | 147.6 (-9.6) | 44% ✓ |
| Efficiency Plus ML ★ | WKU -3.2 (-6.8) | 144.9 (-6.9) | 36% ✓ |
| Baseline Tuned ML | WKU -1.0 (-9.0) | 146.9 (-8.9) | 47% ✓ |
| Baseline ML | WKU -1.6 (-8.4) | 147.5 (-9.5) | 43% ✓ |
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 3, 2023 | WKU 81 – 74 UTSA |
| Feb 12, 2022 | WKU 71 – 65 UTSA |
| Mar 11, 2021 | WKU 80 – 67 UTSA |
Team Comparison
| Record & Ratings | UTSA | WKU |
|---|---|---|
| Overall | 10-22 | 17-16 |
| Conference | 4-16 | 8-12 |
| Home | 8-10 | 9-5 |
| Away | 2-11 | 5-9 |
| Neutral | 0-1 | 3-2 |
| Last 5 | 2-3 | 0-5 |
| Streak | L1 | L1 |
| Avg Pts For | 69.2 | 69.7 |
| Avg Pts Against | 78.1 | 71.6 |
| Massey | -8.2 (#311) | -1.6 (#199) |
| Bradley-Terry | -0.88 (#264) | -0.14 (#192) |
| W. Bradley-Terry | -0.89 (#241) | -0.49 (#211) |
| RPI | 0.441 (#282) | 0.486 (#206) |
| Shooting & Four Factors | UTSA | WKU |
|---|---|---|
| FG% | 40.2% | 44.7% |
| 3PT% | 36.5% | 34.8% |
| REB / G | 33.5 | 33.1 |
| OREB / G | 9.8 | 8.5 |
| AST / TO | 0.86 | 1.23 |
| Four Factors — Offense | ||
| eFG% | 47.8% | 51.0% |
| TOV% | 19.4% | 16.3% |
| ORB% | 27.3% | 24.8% |
| FT Rate | 30.0% | 21.9% |
| Four Factors — Defense | ||
| Opp eFG% | 51.8% | 49.4% |
| Opp TOV% | 15.1% | 18.4% |
| DRB% | 67.5% | 68.8% |
| Opp FT Rate | 22.7% | 18.2% |
Game Analysis
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