Model Predictions
| Model | Baylor Bears | Oklahoma Sooners | Spread |
|---|---|---|---|
| Elo | 44.5% (#30) | 55.5% (#35) | - |
| Bradley-Terry | 67.7% (#3) | 32.3% (#47) | - |
| Margin | 62.2% (#11) | 37.8% (#35) | Baylor Bears -2.7 |
| Pythagorean | 70.0% (#2) | 30.0% (#62) | - |
| Efficiency | 91.5% (#5) | 8.5% (#37) | - |
| Adjusted Efficiency | 92.6% (#1) | 7.4% (#33) | - |
| Log Adjusted | 92.6% (#1) | 7.4% (#33) | - |
Team Stats Comparison
| Stat | Baylor Bears | Oklahoma Sooners |
|---|---|---|
| Games | 23 | 17 |
| PPG | 82.3 | 71.1 |
| FG% | 48.6% | 43.1% |
| 3PT% | 39.9% | 32.2% |
| FT% | 72.0% | 74.4% |
| RPG | 35.6 | 34.1 |
| APG | 16.7 | 12.0 |
| SPG | 9.1 | 6.8 |
| BPG | 3.9 | 3.6 |
| TOPG | 11.4 | 11.2 |
Efficiency Ratings
| Metric | Baylor Bears | Oklahoma Sooners |
|---|---|---|
| Adj. Off Eff | 114.0 | 103.7 |
| Adj. Def Eff | 86.0 | 96.3 |
| Adj. Net Eff | 27.9 | 7.4 |
Efficiency = points per 100 possessions, adjusted for opponent strength
Baylor Bears Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| D. Mitchell | 13.8 | 2.5 | 5.2 | 1.8 | 0.4 | 33.4 |
| M. Teague | 15.4 | 4.0 | 1.8 | 0.9 | 0.4 | 31.8 |
| Ja. Butler | 17.1 | 3.3 | 4.8 | 2.0 | 0.3 | 30.6 |
| M. Vital | 5.6 | 6.7 | 1.4 | 1.0 | 0.9 | 23.6 |
| A. Flagler | 8.3 | 2.0 | 1.2 | 0.9 | 0.0 | 22.2 |
Oklahoma Sooners Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| A. Reaves | 20.0 | 5.8 | 3.9 | 0.9 | 0.4 | 36.8 |
| D. Harmon | 12.5 | 3.6 | 1.8 | 0.9 | 0.0 | 33.3 |
| U. Gibson | 9.9 | 3.5 | 1.2 | 1.2 | 0.0 | 30.6 |
| EJ Harkless | 8.6 | 5.3 | 2.2 | 1.9 | 0.3 | 30.5 |
| B. Manek | 9.0 | 5.2 | 1.1 | 0.6 | 0.7 | 25.5 |