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Ashok Selvaraj

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Princeton Junction, NJ
4.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
73 matches · 46W–27L · seasons 2018–2026
Match history73 matches
W
2026-06-14 · CM Hackers · #2 Doubles · 4.0 · with Prahlad Vishnubhotla
loading the estimate
6-1, 6-2
L
2026-05-16 · CM Hackers · #1 Doubles · 4.0 · with Kevin Collins
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3-6, 1-6
W
2026-04-26 · CM Hackers · #3 Doubles · 4.0 · with Dattatray Jadhav
loading the estimate
2-6, 7-5, 1-0
L
2026-04-25 · CM Hackers · #3 Doubles · 4.0 · with Paras Sharma
loading the estimate
1-6, 1-6
W
Default
2026-04-19 · CM Hackers · #3 Doubles · 4.0 · with Srinivas Mandayam
doesn’t count toward your NTRP rating
6-0, 6-0
L
Mukund Pai / Rafael Vasquez Bravo
2025-06-21 · #1 Doubles · 4.0 · with Murali Donthireddy
loading the estimate
3-6, 6-7
W
2025-05-18 · #1 Doubles · 4.0 · with Ashok Padmanabhan
loading the estimate
6-1, 7-6
W
2025-05-10 · #1 Doubles · 4.0 · with Srinivas Mandayam
loading the estimate
6-2, 6-2
L
2025-04-20 · #2 Singles · 4.0
loading the estimate
1-6, 1-6
L
2025-04-12 · #3 Doubles · 4.0 · with Harish Nankani
loading the estimate
6-1, 6-7, 0-1
W
2024-06-30 · #3 Doubles · 4.0 · with Jaimeen Doshi
loading the estimate
6-2, 3-4, 1-0
W
2024-06-26 · #2 Doubles · 4.0 · with Gopal Thirukallam
loading the estimate
6-1, 6-3
Where you rank locallyagainst everyone at your level
Teams8 teams · 2019–2026
Over timerating by season, and how you rank
By level5 levels played
3.5
80%
12W–3L · 59.7% of games
4.0
65.2%
30W–16L · 56.5% of games
4.5
0W–2L
not enough matches yet
7.0mixed
57.1%
4W–3L · 53.5% of games
8.0mixed
0W–3L
not enough matches yet

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

By lineusually #2 Doubles, 36% of the time
#2 Doubles
36%
26 matches
#1 Doubles
34%
25 matches
#3 Doubles
23%
17 matches
#1 Singles
6%
4 matches
#2 Singles
1%
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