Megan Fellman
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Dallas, TX
101 matches · 80W–21L · seasons 2022–2026
Match history101 matches
Where you rank locallyagainst everyone at your level
Teams47 teams · 2022–2027
Team 12 Samuell Grand/Thornton-Musick W4.0S
Team 16 DAC/Stephanian-VanDenBerg W4.0F
Team 5 DAC/Wheeler W4.5F
DAC-LCC/Wheeler W4.5F
DAC/Fellman W4.0F
DAC/Perez W4.0F
DAC/Stephanian-Vandenberg W4.0T
DAC/Wheeler W4.5F
DAC/Wheeler W4.5T
Greenhill/Schonwald-Newberg W4.0S
Samuell Grand/Thornton-Musick W4.0S
Samuell Grand/Thornton-Musick W4.0S
Sumesh Chopra/Jeff Kennedy X8.0
Team 1 Yvette Freeman 7.5W
Team 6 Sarah Sparling 8.5W
Over timerating by season, and how you rank
By level7 levels played
3.0
100%
11W–0L · 78.4% of games
3.5
100%
15W–0L · 77.7% of games
4.0
80.4%
41W–10L · 61.6% of games
4.5
41.7%
5W–7L · 44.1% of games
7.5
1W–1L
not enough matches yet
8.0
0W–1L
not enough matches yet
8.5
2W–1L
not enough matches yet
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #1 Singles, 37% of the time
#1 Singles
37%
37 matches
#1 Doubles
22%
22 matches
#2 Doubles
18%
18 matches
#3 Doubles
10%
10 matches
#2 Singles
7%
7 matches
Singles
6%
6 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.