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Dina Requena

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Raleigh, NC
2.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
19 matches · 0W–19L · seasons 2019–2023
Match history19 matches
L
2023-05-01 · S.Parsons · #1 Singles · 2.5
loading the estimate
1-6, 0-6
L
2023-04-24 · S.Parsons · #1 Singles · 2.5
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4-6, 2-6
L
2023-04-03 · S.Parsons · #2 Doubles · 2.5 · with Rhonda Blades
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1-6, 0-6
L
2022-09-22 · SParsons · #3 Singles · 2.5
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2-6, 0-6
L
2022-09-15 · SParsons · #3 Singles · 2.5
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3-6, 1-6
L
2022-09-08 · SParsons · #3 Singles · 2.5
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1-6, 0-6
L
2022-06-20 · Sparsons · #3 Singles · 2.5
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0-6, 0-6
L
2022-05-09 · SParsons · #2 Doubles · 2.5 · with Kavita Aggarwal
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5-7, 3-6
L
2022-05-02 · SParsons · #2 Doubles · 2.5 · with Rina Nijhawan
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2-6, 2-6
L
2022-04-25 · SParsons · #2 Doubles · 2.5 · with Bela Naik
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2-6, 4-6
L
2022-04-09 · SParsons · #2 Doubles · 2.5 · with Shannon Parsons
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0-6, 4-6
L
2021-05-18 · ISParsons · #1 Doubles · 2.5 · with Shannon Parsons
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4-6, 3-6
Where you rank locallyagainst everyone at your level
Teams8 teams · 2019–2023
Over timerating by season, and how you rank
By level1 level played
2.5
0%
0W–19L · 20.4% of games

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

By lineusually #2 Doubles, 42% of the time
#2 Doubles
42%
8 matches
#3 Singles
32%
6 matches
#1 Singles
21%
4 matches
#1 Doubles
5%
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