Model Predictions
| Model | Virginia Tech Hokies | NC State Wolfpack | Spread |
|---|---|---|---|
| Elo | 42.8% (#65) | 57.2% (#70) | - |
| Bradley-Terry | 38.8% (#54) | 61.2% (#42) | - |
| Margin | 37.4% (#53) | 62.6% (#50) | NC Stat... -2.8 |
| Pythagorean | 61.7% (#29) | 38.3% (#65) | - |
| Efficiency | 71.2% (#19) | 28.8% (#34) | - |
| Adjusted Efficiency | 65.7% (#50) | 34.3% (#68) | - |
| Log Adjusted | 66.0% (#49) | 34.0% (#68) | - |
Team Stats Comparison
| Stat | Virginia Tech Hokies | NC State Wolfpack |
|---|---|---|
| Games | 15 | 5 |
| PPG | 70.4 | 68.4 |
| FG% | 44.3% | 42.9% |
| 3PT% | 33.3% | 39.2% |
| FT% | 68.1% | 72.0% |
| RPG | 33.7 | 33.4 |
| APG | 15.0 | 10.0 |
| SPG | 5.5 | 6.4 |
| BPG | 4.2 | 2.6 |
| TOPG | 10.8 | 12.2 |
Efficiency Ratings
| Metric | Virginia Tech Hokies | NC State Wolfpack |
|---|---|---|
| Adj. Off Eff | 101.5 | 98.9 |
| Adj. Def Eff | 98.5 | 101.1 |
| Adj. Net Eff | 3.1 | -2.2 |
Efficiency = points per 100 possessions, adjusted for opponent strength
Virginia Tech Hokies Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| T. Radford | 13.2 | 6.4 | 1.8 | 0.6 | 0.3 | 32.9 |
| K. Aluma | 15.4 | 8.5 | 2.5 | 0.8 | 1.6 | 31.9 |
| J. Mutts | 11.1 | 6.9 | 2.4 | 0.6 | 0.7 | 31.4 |
| N. Alleyne | 10.1 | 2.9 | 1.8 | 0.8 | 0.1 | 28.8 |
| W. Bede | 3.4 | 2.4 | 3.4 | 0.9 | 0.4 | 26.3 |
NC State Wolfpack Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| J. Hellems | 10.7 | 4.7 | 1.7 | 0.9 | 0.0 | 34.4 |
| M. Bates | 11.0 | 5.6 | 0.9 | 0.4 | 1.3 | 32.6 |
| B. Beverly | 6.8 | 2.2 | 3.0 | 1.6 | 0.0 | 29.4 |
| DJ Funderburk | 15.2 | 6.7 | 0.5 | 0.8 | 0.2 | 27.8 |
| C. Hayes | 8.4 | 2.6 | 1.9 | 0.6 | 0.0 | 26.1 |