Kyle Zhu
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San Francisco, CA
70 matches · 30W–40L · seasons 2019–2026
Match history70 matches
Where you rank locallyagainst everyone at your level
Teams21 teams · 2019–2026
Over timerating by season, and how you rank
By level4 levels played
4.5
36.8%
14W–24L · 48.8% of games
8.5
68.8%
11W–5L · 56.2% of games
9.5
0W–3L
not enough matches yet
9.0mixed
42.9%
3W–4L · 51.1% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #3 Doubles, 29% of the time
#3 Doubles
29%
20 matches
#1 Doubles
27%
19 matches
#2 Doubles
19%
13 matches
#1 Singles
13%
9 matches
#2 Singles
10%
7 matches
Singles
3%
2 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.
Experience is a big word. I think it comes with time, and I have that.