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Abhijit Ramachandran

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UNION CITY, CA
4.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
4 matches · 1W–3L · seasons 2024–2024
Match history4 matches
L
2024-06-13 · FREMONT TC 18AM3.5B · #1 Doubles · 3.5 · with Sriram Rajamanohar
loading the estimate
5-7, 5-7
L
2024-06-07 · FREMONT TC 18AM3.5B · #2 Doubles · 3.5 · with Raghavan Sethuraman
loading the estimate
1-6, 7-5, 0-1
L
2024-05-14 · FREMONT TC 18AM3.5B · #3 Doubles · 3.5 · with Prathap Kudupu
loading the estimate
6-4, 4-6, 0-1
W
2024-04-20 · FREMONT TC 18AM3.5B · #3 Doubles · 3.5 · with Gulshan Kharbanda
loading the estimate
7-6, 6-4
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.5
25%
1W–3L · 46.6% of games

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

By lineusually #3 Doubles, 50% of the time
#3 Doubles
50%
2 matches
#1 Doubles
25%
1 match
#2 Doubles
25%
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.

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