← Search

Ram Gopalakrishnan

Add to scout listFree account. Monday email when they play.
Dublin, CA
4.0C year-end 2023
i
Computer — generated by the USTA algorithm from match play
12 matches · 3W–9L · seasons 2021–2023
Match history12 matches
W
2023-05-07 · PLEASANTON 18AM4.0E · #2 Doubles · 4.0 · with Praba Mathiyazhagan
loading the estimate
4-6, 6-1, 1-0
L
2023-04-22 · PLEASANTON 18AM4.0E · #3 Doubles · 4.0 · with Mahesh Narayanan
loading the estimate
2-6, 7-5, 0-1
L
2023-02-25 · PLEASANTON 40AM4.0D · #1 Singles · 4.0
loading the estimate
2-6, 4-6
L
2023-02-06 · PLEASANTON 40AM4.0D · #2 Doubles · 4.0 · with Vimal Nelson
loading the estimate
2-6, 6-7
W
2023-01-23 · PLEASANTON 40AM4.0D · #2 Doubles · 4.0 · with Vimal Nelson
loading the estimate
6-3, 6-2
L
2021-08-21 · PLEASANTON 40AM4.0C · #3 Doubles · 4.0 · with Ashref Pattani
loading the estimate
2-6, 1-6
L
2021-08-18 · PLEASANTON 40AM4.0C · #3 Doubles · 4.0 · with Praba Mathiyazhagan
loading the estimate
2-6, 1-6
L
2021-07-28 · PLEASANTON 40AM4.0C · #1 Doubles · 4.0 · with Krishna Shanmugam
loading the estimate
1-6, 0-6
L
2021-07-18 · PLEASANTON 40AM4.0C · #1 Doubles · 4.0 · with Krishna Shanmugam
loading the estimate
4-6, 2-6
L
2021-07-11 · PLEASANTON 18AM3.5C · #1 Singles · 3.5
loading the estimate
3-6, 2-6
L
2021-06-20 · PLEASANTON 18AM3.5C · #2 Doubles · 3.5 · with Ashref Pattani
loading the estimate
7-6, 2-6, 0-1
W
2021-06-09 · PLEASANTON 18AM3.5C · #1 Singles · 3.5
loading the estimate
6-1, 6-0
Where you rank locallyagainst everyone at your level
Teams4 teams · 2021–2023
Over timerating by season, and how you rank
By level2 levels played
3.5
1W–2L
not enough matches yet
4.0
22.2%
2W–7L · 37.8% of games

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

By lineusually #2 Doubles, 33% of the time
#2 Doubles
33%
4 matches
#1 Singles
25%
3 matches
#3 Doubles
25%
3 matches
#1 Doubles
17%
2 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