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JIANG ZHU

Redmond, WA
2.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
5 matches · 0W–5L · seasons 2019–2025

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Match history5 matches
L
2025-12-06 · Zhu · #1 Singles · 3.0
expectation pending — we’re still fetching an opponent’s record
2-6, 0-6
L
2025-10-05 · Zhu · #1 Singles · 3.0
expectation pending — we’re still fetching an opponent’s record
1-6, 0-6
L
2025-07-12 · Zhu · #1 Singles · 3.0
expectation pending — we’re still fetching an opponent’s record
2-6, 0-6
L
2025-07-10 · Zhu · #1 Singles · 3.0
expectation pending — we’re still fetching an opponent’s record
2-6, 0-6
L
George Stark / Christopher Nunes
2019-05-12 · #3 Doubles · 3.0 · with Dan Feng
expectation pending — we’re still fetching an opponent’s record
4-6, 6-2, 0-1
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 levels played
3.0
0%
0W–5L · 23% of games

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

By lineusually #1 Singles, 80% of the time
#1 Singles
80%
4 matches
#3 Doubles
20%
1 match

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.

Losing is not my enemy. Fear of losing is my enemy.
Rafael Nadal