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Julia Arnold

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Pasadena, CA
3.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
110 matches · 67W–43L · seasons 2023–2026
Match history110 matches
L
2026-10-25 · SGV Ball Busters-A. Chow-San Marino HS/ Su10 · #2 Doubles · 3.5 · with Angeline Chow
loading the estimate
4-6, 6-3, 0-1
W
2026-10-24 · SGV Arcadia Aces-Li-Arcadia-SU5 · #1 Doubles · 3.0 · with Angeline Chow
loading the estimate
6-1, 6-3
W
2026-10-18 · SGV Arcadia Aces-Li-Arcadia-SU5 · #1 Doubles · 3.0 · with Malaya Ho
loading the estimate
6-1, 6-0
W
2026-10-17 · SGV Ball Busters-A. Chow-San Marino HS/ Su10 · #1 Doubles · 3.5 · with Jade Kessinger
loading the estimate
6-1, 6-4
W
2026-10-10 · SGV Arcadia Aces-Li-Arcadia-SU5 · #1 Doubles · 3.0 · with Xintong Tan
loading the estimate
6-1, 6-0
W
2026-10-04 · SGV Ball Busters-A. Chow-San Marino HS/ Su10 · #2 Doubles · 3.5 · with Terry Meng
loading the estimate
4-6, 7-6, 1-0
L
2026-09-27 · SGV Ball Busters-A. Chow-San Marino HS/ SA10 · #2 Singles · 3.5
loading the estimate
2-6, 3-6
W
2026-09-26 · SGV Ball Busters-A. Chow-San Marino HS/ Su10 · #3 Doubles · 3.5 · with Malaya Ho
loading the estimate
7-5, 6-4
W
2026-09-13 · SGV Ball Busters-A. Chow-San Marino HS/ Su10 · #3 Doubles · 3.0 · with Kimberly Albright
loading the estimate
6-4, 6-1
W
2026-09-12 · SGV Arcadia Aces-Li-Arcadia-SU5 · #1 Doubles · 3.0 · with Xintong Tan
loading the estimate
6-0, 6-2
W
2026-08-09 · SGV Ball Busters-A. Chow-San Marino HS/ Su10 · #3 Doubles · 3.0 · with Angeline Chow
loading the estimate
6-7, 7-6, 1-0
W
2026-06-21 · SGV Arcadia Aces-Li-Arcadia-SU · #1 Singles · 3.0
loading the estimate
6-0, 6-0
Where you rank locallyagainst everyone at your level
Teams28 teams · 2023–2026
Over timerating by season, and how you rank
By level5 levels played
2.5
25%
1W–3L · 50% of games
3.0
77.2%
44W–13L · 61.1% of games
3.5
44.4%
16W–20L · 47.4% of games
6.0mixed
55.6%
5W–4L · 53% of games
7.0mixed
25%
1W–3L · 42% of games

Games won matters more than matches won — NTRP adjusts on margins.

By lineusually #1 Doubles, 36% of the time
#1 Doubles
36%
39 matches
#1 Singles
21%
23 matches
#2 Singles
16%
18 matches
#3 Doubles
12%
13 matches
#2 Doubles
10%
11 matches
#3 Singles
6%
6 matches

How often, across every team and every match we hold — including ones that do not count toward a rating. Advanced stats has a court-position table too, and it answers a different question: how well you do there, over matches that count. A team’s own page shows how that one team uses you.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.

Start where you are. Use what you have. Do what you can.
Arthur Ashe