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John Doe

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3.5C year-end 2025
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Computer — generated by the USTA algorithm from match play
7 matches · 4W–3L · seasons 2022–2025
Match history7 matches
W
2025-06-14 · #2 Doubles · 3.5 · with Marcus Kessler
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5-7, 7-6, 1-0
L
2025-05-31 · #3 Doubles · 3.5 · with Antonio Borie
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7-5, 6-7, 0-1
L
2023-08-03 · #1 Doubles · 3.5 · with Troy Tomlinson
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2-6, 7-5, 0-1
W
Jason Miller / Francis Lazo
2023-07-06 · #1 Doubles · 3.5 · with Satinder Singh
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6-2, 6-1
L
2023-06-24 · #1 Doubles · 3.5 · with Troy Tomlinson
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6-3, 6-7, 0-1
W
2023-06-11 · #1 Doubles · 3.5 · with Manan Jani
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6-2, 6-4
W
Francis Lazo / Patrick Aggeler
2022-07-23 · #3 Doubles · 3.5 · with Alex Mamutuk
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4-6, 6-4, 1-0
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.5
57.1%
4W–3L · 54.7% of games

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

By lineusually #1 Doubles, 57% of the time
#1 Doubles
57%
4 matches
#3 Doubles
29%
2 matches
#2 Doubles
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.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer