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Maya Gawley

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Danbury, CT
3.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
7 matches · 4W–3L · seasons 2025–2025
Match history7 matches
L
2025-06-18 · Hardscrabble Tempest · #2 Singles · 3.0
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4-6, 3-6
L
2025-06-12 · Hardscrabble Tempest · #2 Doubles · 3.0 · with Janette Lichaw
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2-6, 7-5
L
2025-06-09 · Hardscrabble Tempest · #1 Singles · 3.0
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2-6, 1-6
W
2025-06-05 · Hardscrabble Tempest · #2 Singles · 3.0
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6-3, 6-2
W
2025-06-02 · Hardscrabble Tempest · #3 Doubles · 3.0 · with Monica O'Brien
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6-3, 6-4
W
2025-05-29 · Hardscrabble Tempest · #3 Doubles · 3.0 · with Monica O'Brien
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6-0, 7-6
W
2025-05-15 · Hardscrabble Tempest · #2 Singles · 3.0
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6-3, 7-5
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
3.0
57.1%
4W–3L · 53.1% of games

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

By lineusually #2 Singles, 43% of the time
#2 Singles
43%
3 matches
#3 Doubles
29%
2 matches
#1 Singles
14%
1 match
#2 Doubles
14%
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.

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