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David Kang

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San Francisco, CA
3.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
7 matches · 1W–6L · seasons 2023–2023
Match history7 matches
L
2023-06-11 · GLTF/SAN FRAN ST U 18AM3.5A · #2 Doubles · 3.5 · with Ron Tilos
loading the estimate
4-6, 3-6
L
2023-05-21 · GLTF/SAN FRAN ST U 18AM3.5A · #2 Singles · 3.5
loading the estimate
1-6, 4-6
L
2023-05-13 · GLTF/SAN FRAN ST U 18AM3.5A · #2 Doubles · 3.5 · with Michael Wood
loading the estimate
1-6, 0-6
L
2023-05-10 · GLTF/SAN FRAN ST U 18AM3.5A · #2 Doubles · 3.5 · with Kenny Law
loading the estimate
2-6, 0-6
W
2023-04-30 · GLTF/SAN FRAN ST U 18AM3.5A · #2 Doubles · 3.5 · with Kenny Law
loading the estimate
6-3, 6-2
L
2023-04-22 · GLTF/SAN FRAN ST U 18AM3.5A · #1 Singles · 3.5
loading the estimate
3-6, 1-6
L
2023-04-15 · GLTF/SAN FRAN ST U 18AM3.5A · #2 Doubles · 3.5 · with Derrick Contreras
loading the estimate
1-6, 4-6
Where you rank locallyagainst everyone at your level
Teams2 teams · 2023–2023
Over timerating by season, and how you rank
By level1 level played
3.5
14.3%
1W–6L · 31.9% of games

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

By lineusually #2 Doubles, 71% of the time
#2 Doubles
71%
5 matches
#1 Singles
14%
1 match
#2 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 don’t want to be somebody else. I want to be myself and win in my way.
Rafael Nadal