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Darlene Richardson

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Dacula, GA
3.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
7 matches · 3W–4L · seasons 2018–2023
Match history7 matches
W
2023-07-13 · #2 Doubles · 3.5 · with Liz Dobbs
loading the estimate
6-4, 7-6
L
2023-07-07 · #3 Doubles · 3.5 · with Danielle Vadala
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7-5, 2-6, 3-6
L
2023-06-26 · #2 Doubles · 3.5 · with Katie Benzinger
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7-5, 5-7, 1-6
L
2023-06-08 · #3 Doubles · 3.5 · with Debbie Underwood
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1-6, 6-4, 0-6
W
2023-06-01 · #2 Doubles · 3.5 · with Wendy Kitts
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5-7, 6-4, 6-4
L
2018-07-17 · #2 Doubles · 3.0 · with Gail Tucker
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4-6, 2-6
W
2018-07-10 · #2 Doubles · 3.0 · with Diana Harrel
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1-6, 7-5, 1-5
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level2 levels played
3.0
1W–1L
not enough matches yet
3.5
40%
2W–3L · 44.9% of games

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

By lineusually #2 Doubles, 71% of the time
#2 Doubles
71%
5 matches
#3 Doubles
29%
2 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