Kawhi Leonard vs Victor Wembanyama
Leonard · Wembanyama
| Leonard | Wembanyama | |
|---|---|---|
| 65 | Games availability | 64 |
| 32.1 | Minutes per game | 29.2 |
| 27.9 | Points per game | 25.0 |
| 6.4 | Rebounds per game | 11.5 |
| 3.6 | Assists per game | 3.1 |
| 2.3 | Steals + blocks per game | 4.1 |
| 2.0 | Turnovers per game · lower is better | 2.4 |
| 50.5% | Field goal % | 51.2% |
| 38.7% | Three-point % 6.8 vs 5.5 attempts | 34.9% |
| 89.2% | Free throw % | 82.7% |
| 62.9% | True shooting TS% | 62.6% |
| 32.6% | Usage USG% | 31.6% |
| 19.3% | Assist % of teammates' baskets | 17.0% |
| 10.2% | Rebound % of available | 18.6% |
| +7.5 | Net rating on court | +17.0 |
| 18.5% | PIE player impact estimate | 20.9% |
| +5.2 | Plus-minus per game | +10.7 |
Where the gap is
from the numbers aboveKawhi Leonard scored more in 2025-26, 2.9 points a game apart (27.9 vs 25.0), on Leonard's heavier usage (32.6% vs 31.6%).
Efficiency is a wash: true shooting within a point of each other (62.9% vs 62.6%).
Playmaking goes to Leonard (3.6 vs 3.1 assists), the glass to Wembanyama (11.5 vs 6.4 rebounds).
With Wembanyama on the floor his team outscored opponents by +17.0 per 100 possessions, against +7.5 for Leonard; on-court net rating carries the teammates with it, so read it next to PIE.
On the books for 2026-27: Leonard $50.3M through 2026-27, Wembanyama $16.9M through 2031-32. Whether either fits a trade is a Trade Machine question, not a stat one.
Splits
2025-26 · from the game logs| Leonard | Wembanyama | |
|---|---|---|
| 37-28 | Record when playing | 50-14 |
| 30.4 | Points at home | 26.3 |
| 25.1 | Points on the road | 23.6 |
| 30.1 | Points in wins | 25.5 |
| 25.0 | Points in losses | 23.1 |
| 55 | Season high | 41 |
| 21 | 30-point games | 18 |
| 5 | Double-doubles | 42 |
Last games & contracts
test a trade in the Trade Machine →More comparisons
pick any two players →Per-game numbers and percentages are 2025-26 regular season from stats.nba.com; splits and last games from our own game logs; contract figures are cap hits from public salary data and can lag a signing by a day. Bold marks the better number in each row (turnovers: fewer is better).