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Samir Kumar

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Fort Wayne, IN
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
38 matches · 11W–27L · seasons 2019–2026
Match history38 matches
L
2026-07-01 · NIN FW 18&O 3.5 M: WW Sagan/Valcarcel · #2 Doubles · 3.5 · with Joel Valcarcel
loading the estimate
3-6, 0-0
L
2026-06-17 · NIN FW 18&O 3.5 M: WW Sagan/Valcarcel · #2 Doubles · 3.5 · with Dinesh Agnihotri
loading the estimate
2-6, 4-6
L
2026-06-10 · NIN FW 18&O 3.5 M: WW Sagan/Valcarcel · #1 Doubles · 3.5 · with Cosimo Lombardi
loading the estimate
0-6, 3-6
L
2026-05-31 · NIN FW A 55&O 7.0 M: WW Libbing/Kosnik · #3 Doubles · 7.0 · with Mark Heller
loading the estimate
2-6, 3-6
L
2026-05-27 · NIN FW 18&O 3.5 M: WW Sagan/Valcarcel · #2 Doubles · 3.5 · with Eric Peterson
loading the estimate
1-6, 1-6
L
2026-05-08 · NIN FW A 55&O 7.0 M: WW Libbing/Kosnik · #2 Doubles · 7.0 · with Joseph Kosnik
loading the estimate
2-6, 0-6
L
2026-05-03 · NIN FW A 55&O 7.0 M: WW Libbing/Kosnik · #1 Doubles · 7.0 · with Jeffrey Radke
loading the estimate
6-4, 0-6, 0-1
W
2025-07-23 · #1 Doubles · 3.5 · with Kevin Sierks
loading the estimate
6-3, 5-7, 1-0
L
2025-07-16 · #3 Doubles · 3.5 · with John Ducker
loading the estimate
0-6, 3-6
L
2025-06-25 · #1 Doubles · 3.5 · with Kevin Sierks
loading the estimate
0-6, 3-6
L
2025-06-04 · #1 Doubles · 3.5 · with Vijay Kamineni
loading the estimate
2-6, 4-6
W
Drew Boxberger / Chanh Le
2025-05-28 · #2 Doubles · 3.5 · with Vijay Kamineni
loading the estimate
6-3, 6-3
Where you rank locallyagainst everyone at your level
Teams2 teams · 2026–2026
Over timerating by season, and how you rank
By level2 levels played
3.5
31.4%
11W–24L · 40.5% of games
7.0
0W–3L
not enough matches yet

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

By lineusually #2 Doubles, 55% of the time
#2 Doubles
55%
21 matches
#1 Doubles
29%
11 matches
#3 Doubles
16%
6 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.

What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.
Martina Navratilova