Pascal Siakam vs Victor Wembanyama
Siakam · Wembanyama
| Siakam | Wembanyama | |
|---|---|---|
| 62 | Games availability | 64 |
| 33.2 | Minutes per game | 29.2 |
| 24.0 | Points per game | 25.0 |
| 6.6 | Rebounds per game | 11.5 |
| 3.8 | Assists per game | 3.1 |
| 1.5 | Steals + blocks per game | 4.1 |
| 2.2 | Turnovers per game · lower is better | 2.4 |
| 48.4% | Field goal % | 51.2% |
| 35.8% | Three-point % 4.7 vs 5.5 attempts | 34.9% |
| 69.3% | Free throw % | 82.7% |
| 56.2% | True shooting TS% | 62.6% |
| 29.2% | Usage USG% | 31.6% |
| 19.0% | Assist % of teammates' baskets | 17.0% |
| 9.5% | Rebound % of available | 18.6% |
| -5.6 | Net rating on court | +17.0 |
| 13.0% | PIE player impact estimate | 20.9% |
| -3.7 | Plus-minus per game | +10.7 |
Where the gap is
from the numbers aboveVictor Wembanyama scored more in 2025-26, 1.0 points a game apart (25.0 vs 24.0), on Wembanyama's heavier usage (31.6% vs 29.2%).
Wembanyama is the more efficient scorer by true shooting, 62.6% to 56.2%; TS% folds threes and free throws into one number, so the gap survives shot-diet differences.
Playmaking goes to Siakam (3.8 vs 3.1 assists), the glass to Wembanyama (11.5 vs 6.6 rebounds).
With Wembanyama on the floor his team outscored opponents by +17.0 per 100 possessions, against -5.6 for Siakam; on-court net rating carries the teammates with it, so read it next to PIE.
On the books for 2026-27: Siakam $48.9M through 2027-28, 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| Siakam | Wembanyama | |
|---|---|---|
| 17-45 | Record when playing | 50-14 |
| 22.9 | Points at home | 26.3 |
| 25.0 | Points on the road | 23.6 |
| 25.5 | Points in wins | 25.5 |
| 23.4 | Points in losses | 23.1 |
| 37 | Season high | 41 |
| 14 | 30-point games | 18 |
| 10 | 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).