Alperen Sengun vs Brandon Miller
Sengun · Miller
Brandon Miller: Day-To-Day (Shoulder · Arm · Left).
| Sengun | Miller | |
|---|---|---|
| 72 | Games availability | 65 |
| 33.3 | Minutes per game | 30.3 |
| 20.4 | Points per game | 20.2 |
| 8.9 | Rebounds per game | 4.9 |
| 6.2 | Assists per game | 3.3 |
| 2.3 | Steals + blocks per game | 1.7 |
| 3.2 | Turnovers per game · lower is better | 2.5 |
| 51.9% | Field goal % | 43.5% |
| 30.5% | Three-point % 1.8 vs 8.2 attempts | 38.3% |
| 69.1% | Free throw % | 89.2% |
| 56.9% | True shooting TS% | 57.4% |
| 25.9% | Usage USG% | 27.2% |
| 28.2% | Assist % of teammates' baskets | 17.3% |
| 13.3% | Rebound % of available | 7.8% |
| +3.4 | Net rating on court | +8.5 |
| 14.2% | PIE player impact estimate | 11.3% |
| +2.8 | Plus-minus per game | +5.7 |
Where the gap is
from the numbers aboveAlperen Sengun scored more in 2025-26, 0.2 points a game apart (20.4 vs 20.2), on Miller's heavier usage (27.2% vs 25.9%).
Efficiency is a wash: true shooting within a point of each other (56.9% vs 57.4%).
Playmaking goes to Sengun (6.2 vs 3.3 assists), the glass to Sengun (8.9 vs 4.9 rebounds).
With Miller on the floor his team outscored opponents by +8.5 per 100 possessions, against +3.4 for Sengun; on-court net rating carries the teammates with it, so read it next to PIE.
On the books for 2026-27: Sengun — through —, Miller $15.1M through 2026-27. Whether either fits a trade is a Trade Machine question, not a stat one.
Splits
2025-26 · from the game logs| Sengun | Miller | |
|---|---|---|
| 46-26 | Record when playing | 41-24 |
| 19.8 | Points at home | 21.2 |
| 20.8 | Points on the road | 19.0 |
| 20.6 | Points in wins | 21.0 |
| 19.9 | Points in losses | 18.7 |
| 39 | Season high | 33 |
| 10 | 30-point games | 5 |
| 34 | Double-doubles | 3 |
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).

