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Magesh Kamalakannan

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Dayton, NJ
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
21 matches · 2W–19L · seasons 2024–2026
Match history21 matches
L
2026-02-28 · NJ Strikers · #1 Doubles · 3.5 · with Ranga Balaraman
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2-6, 1-6
L
2026-02-07 · NJ Strikers · #1 Doubles · 3.5 · with Deepak Bharadia
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0-6, 1-6
W
2025-07-13 · #3 Doubles · 3.5 · with Anandkumar Rajkumar
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6-1, 6-1
L
2025-06-29 · #1 Doubles · 3.5 · with Sumit Rao
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1-6, 1-6
L
2025-06-22 · #1 Singles · 3.5
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2-6, 0-6
L
2025-05-18 · #1 Doubles · 3.5 · with Sridhar Kolluri
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3-6, 2-6
L
2025-04-27 · #2 Doubles · 3.5 · with Vivek Kadam
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1-6, 1-6
L
2025-03-29 · #3 Doubles · 3.5 · with Vivek Kadam
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6-3, 3-5, 0-1
L
2025-02-22 · #1 Doubles · 3.5 · with Roman Nadtochy
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2-6, 1-6
L
2025-02-08 · #2 Doubles · 3.5 · with Vivek Kadam
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3-6, 5-6
L
2025-01-18 · #1 Doubles · 3.5 · with Arun Vinoth
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0-6, 0-6
L
2025-01-04 · #3 Doubles · 3.5 · with Anandkumar Rajkumar
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3-6, 4-3, 0-1
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.5
9.5%
2W–19L · 32.1% of games

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

By lineusually #1 Doubles, 52% of the time
#1 Doubles
52%
11 matches
#2 Doubles
24%
5 matches
#3 Doubles
19%
4 matches
#1 Singles
5%
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.

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