Brandon Miller vs Jaylen Brown
Miller · Brown
Brandon Miller: Day-To-Day (Shoulder · Arm · Left).
| Miller | Brown | |
|---|---|---|
| 65 | Games availability | 71 |
| 30.3 | Minutes per game | 34.4 |
| 20.2 | Points per game | 28.7 |
| 4.9 | Rebounds per game | 6.9 |
| 3.3 | Assists per game | 5.1 |
| 1.7 | Steals + blocks per game | 1.4 |
| 2.5 | Turnovers per game · lower is better | 3.6 |
| 43.5% | Field goal % | 47.7% |
| 38.3% | Three-point % 8.2 vs 5.7 attempts | 34.7% |
| 89.2% | Free throw % | 79.5% |
| 57.4% | True shooting TS% | 57.3% |
| 27.2% | Usage USG% | 35.1% |
| 17.3% | Assist % of teammates' baskets | 25.1% |
| 7.8% | Rebound % of available | 9.5% |
| +8.5 | Net rating on court | +6.5 |
| 11.3% | PIE player impact estimate | 15.2% |
| +5.7 | Plus-minus per game | +4.5 |
Where the gap is
from the numbers aboveJaylen Brown scored more in 2025-26, 8.5 points a game apart (28.7 vs 20.2), on Brown's heavier usage (35.1% vs 27.2%).
Efficiency is a wash: true shooting within a point of each other (57.4% vs 57.3%).
Playmaking goes to Brown (5.1 vs 3.3 assists), the glass to Brown (6.9 vs 4.9 rebounds).
With Miller on the floor his team outscored opponents by +8.5 per 100 possessions, against +6.5 for Brown; on-court net rating carries the teammates with it, so read it next to PIE.
On the books for 2026-27: Miller $15.1M through 2026-27, Brown $57.1M through 2028-29. Whether either fits a trade is a Trade Machine question, not a stat one.
Splits
2025-26 · from the game logs| Miller | Brown | |
|---|---|---|
| 41-24 | Record when playing | 47-24 |
| 21.2 | Points at home | 27.9 |
| 19.0 | Points on the road | 29.6 |
| 21.0 | Points in wins | 29.0 |
| 18.7 | Points in losses | 28.2 |
| 33 | Season high | 50 |
| 5 | 30-point games | 35 |
| 3 | Double-doubles | 14 |
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).