Suzie Zhang
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CHARLESTON, SC
138 matches · 77W–61L · seasons 2024–2026
Match history138 matches
Where you rank locallyagainst everyone at your level
Teams29 teams · 2024–2026
LCTA (A) 3.5M 40 & Over (Howle)
LCTA (A) 3.5M 40 & Over (Howle)
LCTA (A) 4.0W 18 & Over (Taggio)
LCTA (A) 4.0W 40 & Over (Taggio)
LCTA (A) 7.5W 18 & Over (Zhang)
LCTA 18/Zhang/LTPDI
LCTA/Schuster-Tallmadge/LTPDI
LCTA18/Bjork-Zhang/LTP-DI
LCTA18/Campbell-Mills/Maybank
LCTA18/Maffucci-Tallmadge/LTPDI
LCTA18/Schuster/LTPDI
LCTA18/Sullivan-ZANG/LTPDI
LCTA18/Zhang-Bjork/LTPDI
LCTA18/Zhang/MPR
LCTA18M/Howle-Delancey/Maybank
LCTA18M/Howle-Delancey/Maybank
LCTA40/Eckhardt/MPR
LCTA40/South/LTP DI
LCTA40/South/LTPDI
LCTA40/Sullivan-ZANG/LTPDI
LCTA40/Tallmadge/LTPDI
South LTP 39 plus 4.0
Over timerating by season, and how you rank
By level6 levels played
2.5
1W–2L
not enough matches yet
3.5
60.4%
29W–19L · 57.2% of games
4.0
45.7%
21W–25L · 46.3% of games
6.5
25%
1W–3L · 37.8% of games
7.5
73.9%
17W–6L · 58.9% of games
3.5mixed
58.3%
7W–5L · 54.9% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #1 Doubles, 30% of the time
#1 Doubles
30%
41 matches
#1 Singles
28%
39 matches
#3 Doubles
17%
23 matches
#2 Doubles
14%
19 matches
#2 Singles
6%
8 matches
#3 Singles
3%
4 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.