
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% |
|---|---|---|
| Jett Howard | ORL @ SAC | 13.9% |
| VJ Edgecombe | ATL @ PHI | 19.1% |
| Dennis Schröder | BKN @ CLE | 26.2% |
| Tyrese Maxey | ATL @ PHI | 26.3% |
| Payton Pritchard | BOS @ GSW | 26.7% |
| PLAYER | TEAM | xFG% |
|---|---|---|
| Caris LeVert | DET | 40.9% |
| Alex Caruso | OKC | 41.4% |
| Ajay Mitchell | OKC | 41.8% |
| Jamal Shead | TOR | 42.2% |
| Isaiah Joe | OKC | 42.3% |
| PLAYER | TEAM | GRAVITY |
|---|---|---|
| Kevin Durant | HOU | 17.0 |
| Luka Dončić | LAL | 15.9 |
| Anthony Edwards | MIN | 15.1 |
| Shai Gilgeous-Alexander | OKC | 14.3 |
| James Harden | CLE | 14.0 |