Gabriela Stai
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DULUTH, GA
93 matches · 23W–70L · seasons 2019–2025
Match history93 matches
Where you rank locallyagainst everyone at your level
Teams31 teams · 2019–2025
Hagood40+3.0/META
Janiszewski/META
Hagood/META
Hagood/META
Cowart
Cox/META
Stewart/META
Cowart/META
Cox/META
Forster/META
Hagood/META
LWN Sherr
Scardo/META
55 to Win
Team 3 Springfield Smart Aces
Team 4 games to win
Team 6 Shades of Blue
Team 7
Team 7 Shades of Blue
Team 7 Springfield Smart Aces
Team 8 Shades of Blue
Team 11 Serve and Volley 2
Team 12 Shades of Blue
Team 5 Shades of Blue
Team 9 In It To Win It
Team 12 Shades of Blue
Team 13 Tennis Queens
Team 7 shades of blue
Team 7 Shades of Blue
Team 8 Serve & Volley
Team 9 Tennis queens 2
Over timerating by season, and how you rank
By level9 levels played
3.0
40%
2W–3L · 49% of games
3.5
12%
3W–22L · 29.4% of games
4.0
1W–1L
not enough matches yet
6.5
0W–3L
not enough matches yet
7.0
25%
2W–6L · 37.9% of games
8.0
0W–1L
not enough matches yet
6.5mixed
1W–2L
not enough matches yet
7.0mixed
31.2%
10W–22L · 40.3% of games
7.5mixed
28.6%
4W–10L · 38.1% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #3 Doubles, 41% of the time
#3 Doubles
41%
38 matches
#2 Doubles
36%
33 matches
#1 Doubles
24%
22 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.
The mark of great sportsmen is not how good they are at their best, but how good they are at their worst.