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Megan Torve

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Rapid City, SD
— year-end
13 matches · 1W–12L · seasons 2021–2022
Match history13 matches
L
2022-09-27 · Wattenhofer/Torve/Postma · #1 Doubles · 3.5 · with Dawn Wattenhofer
loading the estimate
0-6, 3-6
L
2022-09-21 · Wattenhofer/Torve/Postma · #1 Doubles · 3.5 · with Marianna Robidoux
loading the estimate
1-6, 1-6
L
2022-09-18 · Wattenhofer/Torve/Postma · #1 Doubles · 3.5 · with Laura Mardian
loading the estimate
0-6, 0-6
L
2022-09-10 · Wattenhofer/Torve/Postma · #1 Doubles · 3.5 · with Laura Mardian
loading the estimate
1-6, 0-6
L
2022-09-06 · Wattenhofer/Torve/Postma · #1 Doubles · 3.5 · with Marianna Robidoux
loading the estimate
2-6, 6-3, 0-1
W
2022-08-23 · Wattenhofer/Torve/Postma · #1 Doubles · 3.5 · with Laura Mardian
loading the estimate
7-6, 6-0
L
2022-07-13 · Wagner/Gould · #1 Doubles · 3.5 · with Dawn Wattenhofer
loading the estimate
2-6, 1-6
L
2022-06-22 · Wagner/Gould · #1 Doubles · 3.5 · with Marianna Robidoux
loading the estimate
0-6, 1-6
L
2022-05-25 · Wagner/Gould · #3 Doubles · 3.5 · with Terri Michael
loading the estimate
5-7, 6-2, 0-1
L
2021-10-27 · Wattenhofer/Lucas/Torve · #1 Doubles · 3.5 · with Kimberly Lucas
loading the estimate
2-6, 0-6
L
2021-10-05 · Wattenhofer/Lucas/Torve · #1 Doubles · 3.5 · with Kimberly Lucas
loading the estimate
5-7, 1-6
L
2021-10-02 · Wattenhofer/Lucas/Torve · #1 Doubles · 3.5 · with Kimberly Lucas
loading the estimate
0-6, 1-6
Teams3 teams · 2021–2022
Over timerating by season, and how you rank
By level1 level played
3.5
7.7%
1W–12L · 26.9% of games

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

By lineusually #1 Doubles, 92% of the time
#1 Doubles
92%
12 matches
#3 Doubles
8%
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.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer