Betting Lines
| Spread | WKU -12.5 Away covered |
| O/U | 144.5 Over |
| Money | WKU -1000 UTSA +550 |
Model Predictions
| Spread | Total | WKU win | |
|---|---|---|---|
| Actual | WKU +7 | 155 | Won |
| Massey | WKU -11.9 (-4.9) | — | — |
| Massey Totals | — | 144.3 (+10.7) | — |
| Bradley-Terry | — | — | 90% ✓ |
| Weighted B-T | — | — | 91% ✓ |
| Baseline Plus ML | WKU -10.0 (-3.0) | 142.0 (+13.0) | 83% ✓ |
| Efficiency Plus ML ★ | WKU -11.4 (-4.4) | 143.2 (+11.8) | 85% ✓ |
| Baseline Tuned ML | WKU -9.7 (-2.7) | 144.5 (+10.5) | 84% ✓ |
| Baseline ML | WKU -9.2 (-2.2) | 143.1 (+11.9) | 82% ✓ |
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 7, 2023 | WKU 74 – 64 UTSA |
| Feb 12, 2022 | WKU 71 – 65 UTSA |
| Mar 11, 2021 | WKU 80 – 67 UTSA |
Team Comparison
| Record & Ratings | WKU | UTSA |
|---|---|---|
| Overall | 17-16 | 10-22 |
| Conference | 8-12 | 4-16 |
| Home | 9-5 | 8-10 |
| Away | 5-9 | 2-11 |
| Neutral | 3-2 | 0-1 |
| Last 5 | 0-5 | 0-5 |
| Streak | L1 | L1 |
| Avg Pts For | 69.7 | 69.2 |
| Avg Pts Against | 71.6 | 78.1 |
| Massey | -0.4 (#174) | -8.7 (#319) |
| Bradley-Terry | 0.01 (#169) | -1.51 (#305) |
| W. Bradley-Terry | -0.25 (#193) | -1.85 (#307) |
| RPI | 0.497 (#180) | 0.426 (#311) |
| Shooting & Four Factors | WKU | UTSA |
|---|---|---|
| FG% | 43.6% | 39.6% |
| 3PT% | 35.1% | 34.7% |
| REB / G | 33.2 | 33.8 |
| OREB / G | 8.8 | 10.0 |
| AST / TO | 1.14 | 0.79 |
| Four Factors — Offense | ||
| eFG% | 50.0% | 46.7% |
| TOV% | 16.6% | 19.7% |
| ORB% | 25.4% | 28.0% |
| FT Rate | 22.3% | 26.9% |
| Four Factors — Defense | ||
| Opp eFG% | 50.6% | 52.0% |
| Opp TOV% | 18.8% | 15.1% |
| DRB% | 68.9% | 68.0% |
| Opp FT Rate | 18.9% | 21.2% |
Game Analysis
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