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Trenman Yau

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Azusa, CA
4.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
147 matches · 84W–63L · seasons 2019–2026
Match history147 matches
W
2026-10-28 · SGV Triforces-D.Li-WN/SA10 · #1 Doubles · 4.0 · with Roger Wang
loading the estimate
6-2, 5-7, 1-0
W
2026-09-26 · SGV Triforces-D.Li-WN/SA10 · #2 Doubles · 4.0 · with Nolan Wingard
loading the estimate
2-6, 6-3, 1-0
L
2026-09-19 · SGV Triforces-D.Li-WN/SA10 · #2 Doubles · 4.0 · with David Li
loading the estimate
2-6, 1-6
L
2026-09-13 · SGV Triforces-D.Li-WN/SA10 · #2 Doubles · 4.0 · with Sergio Ibarra
loading the estimate
2-6, 2-6
L
2026-06-14 · SGV Triforces-D.Li-WN/SU10 · #2 Doubles · 4.0 · with David Li
loading the estimate
6-7, 6-7
W
2026-05-31 · SGV Triforces-D.Li-WN/SU10 · #2 Doubles · 4.0 · with Sergio Ibarra
loading the estimate
6-1, 6-3
W
2026-05-17 · SGV Triforces-D.Li-WN/SU10 · #1 Doubles · 4.0 · with Sergio Ibarra
loading the estimate
6-4, 2-6, 1-0
W
2026-05-09 · SGV Triforces-D.Li-WN/SU10 · #1 Doubles · 4.0 · with Sergio Ibarra
loading the estimate
4-6, 6-0, 1-0
W
2026-05-03 · SGV Triforces-D.Li-WN/SU10 · #1 Doubles · 4.0 · with Michael Vasquez
loading the estimate
4-6, 6-4, 1-0
W
2026-04-19 · SGV Triforces-D.Li-WN/SU10 · #1 Doubles · 4.0 · with Michael Vasquez
loading the estimate
7-5, 6-4
L
2026-02-28 · SGV Triforces-D.Li-WN/SU10 · #3 Singles · 4.0
loading the estimate
1-6, 0-6
W
2026-02-15 · SGV Triforces-D.Li-WN/SU10 · #3 Singles · 4.0
loading the estimate
7-6, 2-6, 1-0
Where you rank locallyagainst everyone at your level
Teams37 teams · 2019–2026
Over timerating by season, and how you rank
By level8 levels played
2.5
62.5%
5W–3L · 53.6% of games
3.0
61.5%
8W–5L · 57.1% of games
3.5
79.4%
27W–7L · 62.7% of games
4.0
47.7%
31W–34L · 48% of games
2.5mixed
50%
3W–3L · 52.7% of games
4.5mixed
1W–0L
not enough matches yet
6.0mixed
50%
5W–5L · 51.7% of games
8.0mixed
40%
4W–6L · 46.3% of games

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

By lineusually #1 Singles, 24% of the time
#1 Singles
24%
35 matches
#2 Doubles
23%
34 matches
#3 Doubles
21%
31 matches
#1 Doubles
18%
26 matches
#3 Singles
10%
15 matches
#2 Singles
4%
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.

I really think a champion is defined not by their wins but by how they can recover when they fall.
Serena Williams