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Jeffrey Tsai

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San Diego, CA
4.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
7 matches · 2W–5L · seasons 2023–2023
Match history7 matches
W
2023-03-25 · SD 4.0 Balboa TC (3:1)/ Vann · #1 Singles · 4.0
loading the estimate
6-4, 6-1
L
2023-03-05 · SD 4.0 Balboa TC (3:1)/ Vann · #2 Doubles · 4.0 · with Henry Matos
loading the estimate
6-1, 4-6, 0-1
L
2023-02-26 · SD 4.0 Balboa TC (3:1)/ Vann · #2 Doubles · 4.0 · with Henry Matos
loading the estimate
3-6, 5-7
L
2023-02-19 · SD 4.0 Balboa TC (3:1)/ Vann · #1 Singles · 4.0
loading the estimate
2-6, 4-6
L
2023-02-17 · SD 4.0 Balboa TC (3:1)/ Vann · #1 Singles · 4.0
loading the estimate
2-6, 2-6
L
2023-02-05 · SD 4.0 Balboa TC (3:1)/ Vann · #1 Singles · 4.0
loading the estimate
3-6, 5-7
W
2023-01-22 · SD 4.0 Balboa TC (3:1)/ Vann · #1 Singles · 4.0
loading the estimate
3-6, 6-2, 1-0
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
4.0
28.6%
2W–5L · 45% of games

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

By lineusually #1 Singles, 71% of the time
#1 Singles
71%
5 matches
#2 Doubles
29%
2 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.

Start where you are. Use what you have. Do what you can.
Arthur Ashe