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Tom Ferro

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San Jose, CA
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
104 matches · 40W–64L · seasons 2019–2026
Match history104 matches
W
2026-08-27 · EVERGREEN VALLEY COLLEGE CM6.5A · #2 Doubles · 6.5 · with Bhopal Singh
doesn’t count toward your NTRP rating
6-2, 7-6
W
2026-06-11 · EVERGREEN VALLEY COLLEGE 18AM3.5A · #2 Doubles · 3.5 · with Soheil Esmaeilzadeh
loading the estimate
7-6, 6-3
L
2026-06-06 · EVERGREEN VALLEY COLLEGE 18AM3.5A · #3 Doubles · 3.5 · with Johnny Sendejo
loading the estimate
1-6, 4-6
L
2026-03-12 · EVERGREEN VALLEY COLLEGE 40AM4.0A · #2 Doubles · 4.0 · with Pritpal Singh
loading the estimate
1-6, 1-6
L
2026-03-09 · EVERGREEN VALLEY COLLEGE 40AM3.5A · #3 Doubles · 3.5 · with Johnny Sendejo
loading the estimate
5-7, 5-7
L
2026-03-05 · EVERGREEN VALLEY COLLEGE 40AM4.0A · #2 Doubles · 4.0 · with Pritpal Singh
loading the estimate
3-6, 0-6
L
2026-03-03 · EVERGREEN VALLEY COLLEGE 40AM4.0A · #2 Doubles · 4.0 · with Pritpal Singh
loading the estimate
0-6, 0-6
L
2026-02-26 · EVERGREEN VALLEY COLLEGE 40AM4.0A · #3 Doubles · 4.0 · with Harsha Ramachandra
loading the estimate
1-6, 0-6
L
2026-02-12 · EVERGREEN VALLEY COLLEGE 40AM3.5A · #2 Doubles · 3.5 · with Prashanth Thumbargudi
loading the estimate
4-6, 1-6
L
2026-02-05 · EVERGREEN VALLEY COLLEGE 40AM4.0A · #2 Doubles · 4.0 · with Pritpal Singh
loading the estimate
0-6, 2-6
W
2026-01-29 · EVERGREEN VALLEY COLLEGE 40AM3.5A · #3 Doubles · 3.5 · with Harsha Ramachandra
loading the estimate
6-3, 7-5
L
2026-01-19 · EVERGREEN VALLEY COLLEGE 40AM4.0A · #3 Doubles · 4.0 · with Ty Phan
loading the estimate
2-6, 1-6
Where you rank locallyagainst everyone at your level
Teams30 teams · 2019–2026
Over timerating by season, and how you rank
By level7 levels played
3.0
55.6%
5W–4L · 48.5% of games
3.5
47.8%
22W–24L · 48.6% of games
4.0
0%
0W–7L · 13.4% of games
6.5
38.5%
5W–8L · 54.4% of games
7.0
44.4%
4W–5L · 50% of games
7.5
20%
3W–12L · 31% of games
8.0
20%
1W–4L · 23.7% of games

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

By lineusually #3 Doubles, 49% of the time
#3 Doubles
49%
51 matches
#2 Doubles
31%
32 matches
#1 Doubles
19%
20 matches
#1 Singles
1%
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.

I don’t want to be somebody else. I want to be myself and win in my way.
Rafael Nadal