Model Predictions
| Model | Nicholls Colonels | Baylor Bears | Spread |
|---|---|---|---|
| Elo | 5.3% (#258) | 94.7% (#30) | - |
| Bradley-Terry | 5.3% (#222) | 94.7% (#3) | - |
| Margin | 1.0% (#243) | 99.0% (#11) | Baylor Bears -25.1 |
Team Stats Comparison
| Stat | Nicholls Colonels | Baylor Bears |
|---|---|---|
| Games | 2 | 23 |
| PPG | 68.5 | 82.3 |
| FG% | 41.7% | 48.6% |
| 3PT% | 25.6% | 39.9% |
| FT% | 72.2% | 72.0% |
| RPG | 39.5 | 35.6 |
| APG | 12.0 | 16.7 |
| SPG | 8.5 | 9.1 |
| BPG | 3.0 | 3.9 |
| TOPG | 14.5 | 11.4 |
Efficiency Ratings
| Metric | Nicholls Colonels | Baylor Bears |
|---|---|---|
| Adj. Off Eff | - | 114.0 |
| Adj. Def Eff | - | 86.0 |
| Adj. Net Eff | - | 27.9 |
Efficiency = points per 100 possessions, adjusted for opponent strength
Nicholls Colonels Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| Ty Gordon | 11.5 | 4.0 | 3.8 | 1.0 | 0.0 | 34.0 |
| Player #4278304 | 11.0 | 3.3 | 2.0 | 2.8 | 0.5 | 33.5 |
| N. Garvin | 10.5 | 6.8 | 1.0 | 0.8 | 0.3 | 26.3 |
| A. Jones | 7.8 | 4.3 | 2.3 | 1.0 | 0.5 | 24.5 |
| R. Lyons | 8.3 | 5.3 | 0.3 | 0.8 | 2.0 | 23.8 |
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 |