
How Leverage Score will quantify high-impact moments
Utilizing machine learning to predict win probabilty, Leverage uses events that happen and compares them to opposing outcomes.
| PLAYER | GAME | xFG% |
|---|---|---|
| Dylan Harper | SAS @ LAC | 5.9% |
| Ethan Thompson | IND @ CHI | 11.4% |
| Bones Hyland | MIN @ PHI | 12.2% |
| Stephon Castle | SAS @ DEN | 13.1% |
| Saddiq Bey | NOP @ POR | 16.6% |
| PLAYER | TEAM | xFG% |
|---|---|---|
| Caris LeVert | DET | 42.5% |
| Isaiah Joe | OKC | 42.5% |
| Alex Caruso | OKC | 42.8% |
| Jamal Shead | TOR | 42.8% |
| Ajay Mitchell | OKC | 42.8% |
| PLAYER | TEAM | GRAVITY |
|---|---|---|
| Kevin Durant | HOU | 16.3 |
| Anthony Edwards | MIN | 15.1 |
| Shai Gilgeous-Alexander | OKC | 14.9 |
| Luka Dončić | LAL | 14.6 |
| Kawhi Leonard | LAC | 13.5 |