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David Hu

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APEX, NC
3.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
13 matches · 3W–10L · seasons 2023–2023
Match history13 matches
L
2023-08-01 · MVL.MacLean · #1 Singles · 3.0
loading the estimate
2-6, 1-6
L
Scott Davis
2023-07-18 · MVL.MacLean · #1 Singles · 3.0
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2-6, 4-6
L
2023-07-09 · MVL.MacLean · #3 Singles · 3.0
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0-6, 3-6
L
2023-06-27 · MVL.MacLean · #1 Singles · 3.0
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0-6, 1-6
L
2023-05-10 · TOC.Hofberg · #1 Doubles · 3.5 · with Eslam Soliman
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0-6, 2-6
L
2023-05-06 · TOC.Friedman · #1 Doubles · 3.0 · with Fred Friedman
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3-6, 1-6
L
2023-04-16 · TOC.Hofberg · #1 Singles · 3.5
loading the estimate
0-6, 0-6
W
2023-04-15 · TOC.Friedman · #2 Doubles · 3.0 · with William Hagar
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6-3, 6-4
W
2023-03-30 · TOC.Hofberg · #2 Doubles · 3.5 · with Andrew Lee
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6-1, 6-1
W
2023-03-19 · TOC.Hofberg · #3 Doubles · 3.5 · with Jim Cronberger
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6-4, 7-5
L
2023-03-18 · TOC.Friedman · #2 Singles · 3.0
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2-6, 1-6
L
2023-03-05 · TOC.Hofberg · #1 Singles · 3.5
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1-6, 0-6
Where you rank locallyagainst everyone at your level
Teams3 teams · 2023–2023
Over timerating by season, and how you rank
By level2 levels played
3.0
12.5%
1W–7L · 27.2% of games
3.5
40%
2W–3L · 37.3% of games

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

By lineusually #1 Singles, 46% of the time
#1 Singles
46%
6 matches
#1 Doubles
15%
2 matches
#2 Doubles
15%
2 matches
#2 Singles
8%
1 match
#3 Doubles
8%
1 match
#3 Singles
8%
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