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Stacey Perkins

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Woodbridge, CT
— year-end
27 matches · 12W–15L · seasons 2018–2022
Match history27 matches
L
2022-07-19 · MIT:Casual Sets:Pospisil · #3 Doubles · 4.0 · with Mary Kaump
loading the estimate
6-2, 4-6, 0-1
L
2022-05-01 · MIT:Senoritas:DeAngelis · #3 Doubles · 8.0 · with Graziana Weill
loading the estimate
2-6, 0-6
W
2022-03-27 · MIT:Senoritas:DeAngelis · #3 Doubles · 8.0 · with Judit Farkas
loading the estimate
4-6, 5-3
L
2022-01-13 · MIT:Casual Sets:Perkins/Barra · #2 Doubles · 4.0 · with Graziana Weill
loading the estimate
2-6, 2-6
L
2021-12-05 · MIT:Nice Aces:Perkins/Ferguson · #2 Doubles · 4.0 · with Judit Farkas
loading the estimate
6-1, 1-6, 0-1
L
2021-10-15 · MIT:Casual Sets:Perkins/Barra · #2 Doubles · 4.0 · with Graziana Weill
loading the estimate
2-6, 5-7
L
2021-10-08 · MIT:Casual Sets:Perkins/Barra · #3 Doubles · 4.0 · with Kristen Doyle
loading the estimate
3-6, 4-6
L
2021-06-23 · MIT:Casual Sets:LoRicco/Perkins · #3 Doubles · 4.0 · with Graziana Weill
loading the estimate
4-6, 6-2, 0-1
W
2021-06-02 · MIT:Casual Sets:LoRicco/Perkins · #3 Doubles · 4.0 · with Graziana Weill
loading the estimate
6-2, 6-2
W
2020-02-16 · MIL:Senorita's:Frattaroli/Ferguson · #2 Doubles · 8.0 · with Graziana Weill
loading the estimate
6-0, 6-3
W
2020-02-09 · MIT:Nice Aces:Kaump/LoRicco · #2 Doubles · 4.0 · with Graziana Weill
loading the estimate
6-1, 7-5
L
2020-01-31 · TC:Casual Sets Redux:LoRicco/Perkins · #3 Doubles · 4.0 · with Graziana Weill
loading the estimate
4-6, 7-5, 0-1
Teams14 teams · 2019–2023
Over timerating by season, and how you rank
By level2 levels played
4.0
33.3%
7W–14L · 48.9% of games
8.0
83.3%
5W–1L · 58.3% of games

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

By lineusually #3 Doubles, 70% of the time
#3 Doubles
70%
19 matches
#2 Doubles
30%
8 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.

I really think a champion is defined not by their wins but by how they can recover when they fall.
Serena Williams