Model Predictions
| Model | USC Trojans | Stanford Cardinal | Spread |
|---|---|---|---|
| Elo | 50.3% (#28) | 49.7% (#40) | - |
| Bradley-Terry | 51.6% (#40) | 48.4% (#78) | - |
| Margin | 55.5% (#61) | 44.5% (#96) | USC Trojans -1.2 |
| Pythagorean | 67.6% (#26) | 32.4% (#95) | - |
| Efficiency | 91.8% (#67) | 8.2% (#227) | - |
| Adjusted Efficiency | 85.0% (#33) | 15.0% (#80) | - |
| Log Adjusted | 85.1% (#31) | 14.9% (#80) | - |
Team Stats Comparison
| Stat | USC Trojans | Stanford Cardinal |
|---|---|---|
| Games | 29 | 10 |
| PPG | 72.2 | 65.6 |
| FG% | 44.9% | 42.6% |
| 3PT% | 35.6% | 35.9% |
| FT% | 67.7% | 62.4% |
| RPG | 39.8 | 36.1 |
| APG | 14.0 | 13.9 |
| SPG | 4.9 | 5.6 |
| BPG | 4.6 | 2.6 |
| TOPG | 12.7 | 14.7 |
Efficiency Ratings
| Metric | USC Trojans | Stanford Cardinal |
|---|---|---|
| Adj. Off Eff | 104.4 | 97.8 |
| Adj. Def Eff | 95.6 | 102.2 |
| Adj. Net Eff | 8.8 | -4.5 |
Efficiency = points per 100 possessions, adjusted for opponent strength
USC Trojans Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| I. Mobley | 14.4 | 8.4 | 3.4 | 0.8 | 0.9 | 34.7 |
| D. Peterson | 12.5 | 6.2 | 3.2 | 0.7 | 0.8 | 33.1 |
| B. Ellis | 12.6 | 3.3 | 2.3 | 0.8 | 0.2 | 29.6 |
| C. Goodwin | 10.7 | 6.3 | 0.6 | 0.4 | 0.6 | 24.2 |
| M. Agbonkpolo | 7.8 | 3.5 | 0.7 | 0.4 | 0.5 | 21.5 |
Stanford Cardinal Top Players
| Player | PPG | RPG | APG | SPG | BPG | MPG |
|---|---|---|---|---|---|---|
| H. Ingram | 11.3 | 7.9 | 2.9 | 1.0 | 0.4 | 32.2 |
| M. O'Connell | 7.3 | 2.5 | 4.5 | 0.6 | 0.1 | 27.9 |
| S. Jones | 12.0 | 4.5 | 1.1 | 0.9 | 0.6 | 26.6 |
| J. Delaire | 8.7 | 3.5 | 0.8 | 0.9 | 0.3 | 22.6 |
| J. Keefe | 5.3 | 4.8 | 0.7 | 0.4 | 0.4 | 20.4 |