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Bing Sun

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Charleston, SC
3.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
57 matches · 28W–29L · seasons 2023–2026
Match history57 matches
W
2025-11-20 · #1 Singles · 3.5
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6-4, 6-0
W
2025-11-19 · #2 Doubles · 3.5 · with Mary Blum
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6-4, 6-2
W
2025-11-14 · #1 Doubles · 3.0 · with Kathleen Ricciardi
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6-0, 6-2
W
2025-11-13 · #1 Doubles · 3.0 · with Allison Dong
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6-1, 6-1
W
2025-11-12 · #1 Singles · 3.5
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6-1, 6-3
L
2025-11-09 · #1 Doubles · 3.5 · with April Ginley
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6-7, 1-6
L
2025-11-08 · #1 Doubles · 3.5 · with April Ginley
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3-6, 0-6
L
2025-11-05 · #3 Doubles · 3.5 · with Ruth Meloeny
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6-7, 0-6
W
2025-10-30 · #1 Singles · 3.0
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6-4, 6-0
W
2025-10-29 · #3 Doubles · 3.5 · with Ruth Meloeny
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6-1, 7-6
W
2025-10-25 · #1 Doubles · 3.5 · with Gigi McNinch
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7-5, 7-6
L
2025-10-23 · #2 Singles · 3.5
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5-7, 6-1, 0-1
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level5 levels played
3.0
88.9%
8W–1L · 73.3% of games
3.5
43.9%
18W–23L · 48.2% of games
5.5
0W–2L
not enough matches yet
6.5
1W–2L
not enough matches yet
3.5mixed
1W–1L
not enough matches yet

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

By lineusually #1 Doubles, 42% of the time
#1 Doubles
42%
24 matches
#3 Doubles
26%
15 matches
#2 Doubles
14%
8 matches
#1 Singles
11%
6 matches
#4 Doubles
5%
3 matches
#2 Singles
2%
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.

The mark of great sportsmen is not how good they are at their best, but how good they are at their worst.
Martina Navratilova