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Joyce Somers

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Shelton, CT
4.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
171 matches · 80W–91L · seasons 2018–2026
Match history171 matches
L
2026-10-06 · MIT:Aceing Gracefully:DeAngelis · #2 Doubles · 8.0 · with Bobbi Deangelis
loading the estimate
0-6, 2-6
W
2026-08-22 · MIT:BB's 40 :DeAngelis · #3 Doubles · 4.0 · with Pam Iannazzo championship
loading the estimate
6-4, 7-5
L
2026-07-08 · MIT: Summer BB's:DeAngelis · #3 Doubles · 4.0 · with Kira Lent
loading the estimate
6-7, 2-6
W
2026-06-28 · MIT:In It To Win It: Nava/Haven · #3 Doubles · 7.0 · with Carol Finnucan
loading the estimate
6-3, 6-3
L
2026-06-23 · MIT: Summer BB's:DeAngelis · #3 Doubles · 4.0 · with Linda Dest
loading the estimate
1-6, 1-6
W
2026-06-14 · RH:Double Shots North:Siebert/Mendillo · #3 Doubles · 4.0 · with Tina Rivera
loading the estimate
7-6, 4-4
W
2026-06-13 · MIL: Seasoned Servers: Consiglio · #2 Doubles · 7.0 · with Richard Hoin mixed
doesn’t count toward your NTRP rating
5-7, 6-3, 1-0
L
2026-06-02 · RH:Double Shots North:Siebert/Mendillo · #2 Doubles · 4.0 · with Karyn Blaise
loading the estimate
1-6, 6-0, 0-1
L
2026-05-17 · MIT:In It To Win It: Nava/Haven · #3 Doubles · 7.0 · with Dika Nussberg
loading the estimate
4-6, 1-6
W
2026-04-19 · MIL: Seasoned Servers: Consiglio · #2 Doubles · 7.0 · with Richard Hoin mixed
doesn’t count toward your NTRP rating
6-7, 6-3, 1-0
L
2026-04-12 · MIT:In It To Win It: Nava/Haven · #3 Doubles · 7.0 · with Dika Nussberg
loading the estimate
7-5, 6-6, 0-1
L
2026-03-29 · MIT:In It To Win It: Nava/Haven · #3 Doubles · 7.0 · with Arla Wiles
loading the estimate
4-6, 1-6
Where you rank locallyagainst everyone at your level
Teams54 teams · 2019–2027
Over timerating by season, and how you rank
By level7 levels played
3.5
82.9%
29W–6L · 64.1% of games
4.0
30.4%
24W–55L · 43.5% of games
7.0
28.6%
2W–5L · 46.5% of games
7.5
3W–0L
not enough matches yet
8.0
0W–3L
not enough matches yet
7.0mixed
54.8%
17W–14L · 51.6% of games
8.0mixed
38.5%
5W–8L · 46.2% of games

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

By lineusually #1 Doubles, 35% of the time
#1 Doubles
35%
60 matches
#3 Doubles
33%
57 matches
#2 Doubles
32%
54 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