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Ning Zhao

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SAN FRANCISCO, CA
— year-end
7 matches · 5W–2L · seasons 2019–2019
Match history7 matches
L
2019-10-06 · PLEASANTON 18SM3.5A · #1 Singles · 3.5
loading the estimate
5-7, 7-5, 0-1
W
2019-09-29 · PLEASANTON 18SM3.5A · #1 Singles · 3.5
loading the estimate
4-6, 6-4, 1-0
W
2019-09-15 · PLEASANTON 18SM3.5A · #2 Singles · 3.5
loading the estimate
6-2, 6-0
W
2019-09-01 · PLEASANTON 18SM3.5A · #3 Singles · 3.5
loading the estimate
6-1, 2-0
W
2019-06-29 · PLEASANTON 18AM3.5D · #2 Singles · 3.5
loading the estimate
2-6, 6-1, 1-0
W
2019-06-22 · PLEASANTON 18AM3.5D · #1 Singles · 3.5
loading the estimate
6-3, 6-3
L
2019-06-15 · PLEASANTON 18AM3.5D · #1 Doubles · 3.5 · with Larry Hui
loading the estimate
3-6, 0-6
Teams2 teams · 2019–2019
Over timerating by season, and how you rank
By level1 level played
3.5
71.4%
5W–2L · 56.8% of games

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

By lineusually #1 Singles, 43% of the time
#1 Singles
43%
3 matches
#2 Singles
29%
2 matches
#1 Doubles
14%
1 match
#3 Singles
14%
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.

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