Jamal Murray vs Julius Randle
Murray · Randle
| Murray | Randle | |
|---|---|---|
| 75 | Games availability | 79 |
| 35.4 | Minutes per game | 33.0 |
| 25.4 | Points per game | 21.1 |
| 4.4 | Rebounds per game | 6.7 |
| 7.1 | Assists per game | 5.0 |
| 1.3 | Steals + blocks per game | 1.3 |
| 2.3 | Turnovers per game · lower is better | 2.7 |
| 48.3% | Field goal % | 48.1% |
| 43.5% | Three-point % 7.5 vs 4.4 attempts | 31.5% |
| 88.7% | Free throw % | 80.2% |
| 62.2% | True shooting TS% | 58.5% |
| 26.9% | Usage USG% | 25.8% |
| 29.8% | Assist % of teammates' baskets | 22.7% |
| 6.3% | Rebound % of available | 9.9% |
| +6.8 | Net rating on court | +4.0 |
| 14.2% | PIE player impact estimate | 12.8% |
| +5.8 | Plus-minus per game | +2.9 |
Where the gap is
from the numbers aboveJamal Murray scored more in 2025-26, 4.3 points a game apart (25.4 vs 21.1), on Murray's heavier usage (26.9% vs 25.8%).
Murray is the more efficient scorer by true shooting, 62.2% to 58.5%; TS% folds threes and free throws into one number, so the gap survives shot-diet differences.
Playmaking goes to Murray (7.1 vs 5.0 assists), the glass to Randle (6.7 vs 4.4 rebounds).
With Murray on the floor his team outscored opponents by +6.8 per 100 possessions, against +4.0 for Randle; on-court net rating carries the teammates with it, so read it next to PIE.
On the books for 2026-27: Murray $50.1M through 2028-29, Randle $33.3M through 2027-28. Whether either fits a trade is a Trade Machine question, not a stat one.
Splits
2025-26 · from the game logs| Murray | Randle | |
|---|---|---|
| 48-27 | Record when playing | 47-32 |
| 23.7 | Points at home | 21.2 |
| 27.1 | Points on the road | 21.0 |
| 26.5 | Points in wins | 20.9 |
| 23.4 | Points in losses | 21.3 |
| 53 | Season high | 41 |
| 23 | 30-point games | 12 |
| 18 | Double-doubles | 15 |
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).