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Bright Ling

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Princeton, NJ
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
49 matches · 19W–30L · seasons 2023–2026
Match history49 matches
L
2026-06-14 · Dragon Spin · #1 Singles · 3.5
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5-7, 3-5
L
2026-05-31 · Dragon Spin · #3 Doubles · 3.5 · with John Li
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5-7, 3-6
L
2026-05-18 · Dragon Spin · #3 Doubles · 3.5 · with John Li
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2-6, 2-6
L
2026-03-07 · BTL · #2 Doubles · 3.5 · with NANJUN QIAN
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3-6, 3-4
L
2026-02-28 · BTL · #2 Doubles · 3.5 · with NANJUN QIAN
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3-6, 1-3
L
2026-01-31 · BTL · #3 Doubles · 3.5 · with Victor Li
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2-6, 5-4, 0-1
L
2025-12-13 · BTL · #3 Doubles · 3.5 · with Hongjie Zheng
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1-6, 2-6
L
2025-06-29 · #1 Singles · 3.5
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2-6, 2-6
W
2025-06-22 · #1 Singles · 3.5
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6-4, 6-4
L
2025-05-18 · #1 Singles · 3.5
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3-6, 1-6
L
2025-03-29 · #3 Doubles · 3.5 · with NANJUN QIAN
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4-6, 3-1, 0-1
W
2025-03-22 · #3 Doubles · 3.5 · with Rui Qin
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6-4, 3-4, 1-0
Where you rank locallyagainst everyone at your level
Teams2 teams · 2026–2026
Over timerating by season, and how you rank
By level2 levels played
3.0
60%
9W–6L · 52.1% of games
3.5
29.4%
10W–24L · 44.6% of games

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

By lineusually #3 Doubles, 41% of the time
#3 Doubles
41%
20 matches
#2 Doubles
25%
12 matches
#1 Singles
20%
10 matches
#1 Doubles
14%
7 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.
Martina Navratilova