← Search

Hoa Do

Add to scout listFree account. Monday email when they play.
Irvine, CA
4.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
91 matches · 81W–10L · seasons 2021–2026
Match history91 matches
W
2026-10-31 · IE- I Tennis Riverside Andulka Park-Minh · #1 Doubles · 4.5 · with AUSTIN HARVILL
loading the estimate
6-0, 6-2
W
2026-10-18 · SGV Wild Cards-Tang-Arroyo High /SU10 · #1 Doubles · 3.5 · with Katherine Wu mixed
doesn’t count toward your NTRP rating
6-2, 1-1
W
2026-10-17 · IE- I Tennis Riverside Andulka Park-Minh · #1 Doubles · 4.5 · with AUSTIN HARVILL
loading the estimate
6-4, 7-5
W
2026-09-13 · SGV Wild Cards-Tang-Arroyo High /SU2/10 · #1 Doubles · 3.5 · with AUSTIN HARVILL
loading the estimate
6-3, 7-6
W
2026-09-13 · SGV Wild Cards-Tang-Arroyo High /SU10 · #1 Doubles · 3.5 · with Katherine Wu mixed
doesn’t count toward your NTRP rating
6-4, 6-3
W
2026-08-15 · SGV Wild Cards-Tang-Arroyo High /SU2/10 · #1 Doubles · 3.5 · with James Mason
loading the estimate
6-0, 6-2
W
2026-07-19 · SGV Wild Cards-Tang-Arroyo High /SU2/10 · #1 Doubles · 3.5 · with Aaron Nepomuceno
loading the estimate
6-4, 6-1
W
2026-06-14 · SGV Wild Crickets-Tang-APU/SU9 · #1 Doubles · 4.5 · with AUSTIN HARVILL
loading the estimate
6-2, 6-4
W
2026-05-30 · SGV Wild Crickets-Tang-APU/SU9 · #1 Doubles · 4.5 · with James Mason
loading the estimate
5-7, 6-4, 1-0
W
2026-05-16 · SGV Wild Crickets-Tang-APU/SU9 · #1 Doubles · 4.5 · with AUSTIN HARVILL
loading the estimate
6-3, 6-2
L
2026-05-09 · SGV Wild Crickets-Tang-APU/SU9 · #1 Doubles · 4.5 · with Paul Vincent Salvador
loading the estimate
7-5, 6-7, 0-1
W
2026-05-03 · SGV Wild Crickets-Tang-APU/SU9 · #3 Doubles · 4.5 · with Chad Rodriguez
loading the estimate
6-4, 6-3
Where you rank locallyagainst everyone at your level
Teams22 teams · 2020–2026
Over timerating by season, and how you rank
By level10 levels played
3.0
3W–0L
not enough matches yet
3.5
3W–0L
not enough matches yet
4.0
89.5%
17W–2L · 67.6% of games
4.5
76.9%
10W–3L · 63.4% of games
3.5mixed
2W–0L
not enough matches yet
4.0mixed
75%
3W–1L · 69.1% of games
4.5mixed
100%
6W–0L · 74.5% of games
8.0mixed
100%
15W–0L · 75.7% of games
8.5mixed
100%
5W–0L · 66.3% of games
9.0mixed
81%
17W–4L · 63.5% of games

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

By lineusually #2 Doubles, 51% of the time
#2 Doubles
51%
46 matches
#1 Doubles
26%
24 matches
#3 Doubles
23%
21 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.

What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.
Martina Navratilova