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Tom Viscelli

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Riverside, CT
2.5C year-end 2024
i
Computer — generated by the USTA algorithm from match play
7 matches · 1W–6L · seasons 2024–2024
Match history7 matches
L
2024-07-18 · WTC: NY: 3.0 SS 40+ Masters · #2 Doubles · 3.0 · with David Owen
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2-6, 2-6
L
2024-07-16 · WTC: NY: 3.0 SS 18+ Grand Slam · #2 Doubles · 3.0 · with Barry Clark
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2-6, 2-6
L
2024-07-02 · WTC: NY: 3.0 SS 18+ Grand Slam · #2 Doubles · 3.0 · with Michael Gorman
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1-6, 2-6
L
2024-06-20 · WTC: NY: 3.0 SS 40+ Masters · #2 Doubles · 3.0 · with Gregory Fage
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5-7, 0-6
L
2024-06-19 · WTC: NY: 3.0 SS 40+ Masters · #1 Doubles · 3.0 · with Angelo Cocciolillo
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2-6, 2-6
L
2024-06-04 · WTC: NY: 3.0 SS 18+ Grand Slam · #1 Doubles · 3.0 · with Dino Ewing
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3-6, 0-6
W
2024-05-23 · WTC: NY: 3.0 SS 40+ Masters · #2 Doubles · 3.0 · with Angelo Cocciolillo
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6-3, 3-6, 1-0
Where you rank locallyagainst everyone at your level
Teams2 teams · 2024–2024
Over timerating by season, and how you rank
By level1 level played
3.0
14.3%
1W–6L · 28.7% of games

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

By lineusually #2 Doubles, 71% of the time
#2 Doubles
71%
5 matches
#1 Doubles
29%
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.

Experience is a big word. I think it comes with time, and I have that.
Serena Williams