NBA Referee Profile
Jonathan Sterling
Jonathan Sterling has officiated 402 NBA games and the numbers show a ref who reads tight. His career personal foul average of 40 per game runs 1.3% above league average — he's calling more fouls than the typical official, which means more stoppages, more possession resets, and more chances for foul-dependent offenses to dictate pace. Despite that elevated foul rate, his free throw attempt average of 44.7 sits 0.4% below league average, a small gap that suggests the fouls he calls skew toward non-shooting situations — reach-ins, moving screens, loose ball contact. Bettors targeting total lines should note that whistle volume trends up with Sterling on the floor. The home team wins 60.7% of games he oversees, a figure that sits meaningfully above the standard home-court baseline. That isn't noise. Home teams getting calls at that clip matters for spread bettors — fade road teams at your own risk when Sterling's on the sheet.
Career stats
Games officiated
402
Personal fouls / g
40.0
+1.3% vs league
Free throw attempts / g
44.7
-0.4% vs league
Combined points / g
225.2
+0.3% vs league
Home vs visitor
Home teams win 60.7% of games officiated by Jonathan. That's well above the league's ~57% home-court baseline — a signal his crews lean home when the game is close.
Recent seasons
| Season | Games | PF/g | FTA/g | PTS/g | Home W% |
|---|---|---|---|---|---|
| 2025-26 | 46 | 38.4 | 46.1 | 233.5 | 67.4% |
| 2024-25 | 48 | 38.1 | 44.4 | 225.1 | 56.3% |
| 2023-24 | 37 | 38.5 | 43.5 | 233.8 | 51.4% |
| 2022-23 | 47 | 40.4 | 46.3 | 228.9 | 63.8% |
| 2021-22 | 53 | 40.8 | 44.4 | 222.0 | 67.9% |
| 2020-21 | 44 | 39.3 | 42.4 | 223.6 | 65.9% |
| 2019-20 | 40 | 41.4 | 44.2 | 219.6 | 52.5% |
| 2018-19 | 46 | 42.2 | 46.8 | 225.4 | 63.0% |
| 2017-18 | 41 | 40.6 | 43.8 | 214.9 | 53.7% |
Top team splits
Teams Jonathan has officiated the most, and how those franchises have fared under him.
| Team | Games | W-L | W% | Pace | PTS/g |
|---|---|---|---|---|---|
| NJN | 35 | 12-23 | 34.3% | 98.3 | 107.1 |
| NOH | 33 | 18-15 | 54.5% | 100.4 | 113.8 |
| CLE | 32 | 21-11 | 65.6% | 97.7 | 115.1 |
| WAS | 31 | 12-19 | 38.7% | 100.4 | 111.3 |
| MIL | 31 | 18-13 | 58.1% | 100.2 | 112.3 |
| MEM | 31 | 15-16 | 48.4% | 101.5 | 114.0 |
| IND | 30 | 15-15 | 50.0% | 99.5 | 111.5 |
| ORL | 30 | 13-17 | 43.3% | 99.6 | 109.7 |
| UTA | 29 | 17-12 | 58.6% | 99.8 | 115.1 |
| LAL | 28 | 18-10 | 64.3% | 101.1 | 111.7 |
| MIN | 27 | 16-11 | 59.3% | 100.0 | 114.3 |
| TOR | 27 | 11-16 | 40.7% | 99.3 | 107.4 |
| OKC | 26 | 14-12 | 53.8% | 100.0 | 111.4 |
| PHI | 25 | 14-11 | 56.0% | 97.5 | 110.6 |
| MIA | 25 | 12-13 | 48.0% | 98.5 | 107.4 |
| ATL | 24 | 7-17 | 29.2% | 101.8 | 114.4 |
| DET | 24 | 8-16 | 33.3% | 97.9 | 112.9 |
| PHO | 23 | 16-7 | 69.6% | 100.4 | 114.2 |
| NYK | 22 | 10-12 | 45.5% | 96.5 | 110.4 |
| DEN | — | — | — | — | — |