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Chaitanya Mamdur

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San Ramon, CA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
146 matches · 72W–74L · seasons 2019–2026
Match history146 matches
W
2026-06-12 · PLEASANTON 18AM3.5A · #2 Doubles · 3.5 · with Sreerama Garikapati
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6-3, 7-6
L
2026-06-06 · PLEASANTON 18AM3.5A · #3 Doubles · 3.5 · with Sachin Shetti
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0-6, 6-0, 0-1
W
2026-05-29 · PLEASANTON 18AM3.5A · #3 Doubles · 3.5 · with Sreerama Garikapati
loading the estimate
6-4, 7-5
L
2026-03-12 · PLEASANTON 40AM4.0C · #3 Doubles · 4.0 · with Sreerama Garikapati
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6-7, 2-6
L
2026-03-08 · PLEASANTON 40AM4.0C · #2 Doubles · 4.0 · with Vamsikrishna Paladugu
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3-6, 2-6
L
2026-03-07 · PLEASANTON 40AM3.5B · #2 Doubles · 3.5 · with Sayon Majumdar
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0-6, 1-6
L
2026-03-01 · PLEASANTON 40AM4.0C · #3 Doubles · 4.0 · with Sreerama Garikapati
loading the estimate
2-6, 5-7
L
2026-02-06 · PLEASANTON 40AM3.5B · #3 Doubles · 3.5 · with Vamsikrishna Paladugu
loading the estimate
1-6, 3-6
L
2026-02-01 · PLEASANTON 40AM4.0C · #3 Doubles · 4.0 · with Vamsikrishna Paladugu
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5-7, 2-6
L
2026-01-31 · PLEASANTON 40AM4.0C · #3 Doubles · 4.0 · with ANAND MADDULA
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0-6, 1-6
W
2026-01-24 · PLEASANTON 40AM3.5B · #2 Doubles · 3.5 · with Rama ERIGINDINDLA
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0-6, 7-5, 1-0
L
2026-01-16 · PLEASANTON 40AM3.5B · #2 Doubles · 3.5 · with Raj Narisetti
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3-6, 4-6
Where you rank locallyagainst everyone at your level
Teams34 teams · 2019–2026
Over timerating by season, and how you rank
By level5 levels played
3.0
67.7%
21W–10L · 55.6% of games
3.5
47.2%
25W–28L · 48.5% of games
4.0
19%
4W–17L · 37.2% of games
6.5
55.6%
15W–12L · 52% of games
7.5
50%
7W–7L · 47.8% of games

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

By lineusually #1 Doubles, 32% of the time
#1 Doubles
32%
46 matches
#2 Doubles
30%
44 matches
#3 Doubles
29%
42 matches
#1 Singles
6%
9 matches
#2 Singles
3%
5 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.

I really think a champion is defined not by their wins but by how they can recover when they fall.
Serena Williams