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Jennifer Darr

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FLORENCE, SC
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
105 matches · 75W–30L · seasons 2019–2026
Match history105 matches
L
2026-06-22 · PD40/Perkins/FTC · #2 Doubles · 2.5 · with Ronelle van Heerden
loading the estimate
4-6, 3-6
W
Default
2026-05-07 · PD40/Siegal/FTC · #1 Singles · 3.5
doesn’t count toward your NTRP rating
6-0, 6-0
L
2026-04-23 · PD40/Siegal/FTC · #2 Doubles · 3.5 · with Connie Waters
loading the estimate
4-6, 1-6
W
2026-03-26 · PD40/Siegal/FTC · #1 Singles · 3.5
loading the estimate
6-2, 4-6, 1-0
W
2026-02-10 · PD40/Siegal/FTC · #2 Doubles · 3.5 · with Beth Gunter
loading the estimate
6-0, 6-0
L
2025-07-02 · PD40/Perkins/FTC · #1 Doubles · 2.5 · with Robin Siegal
loading the estimate
3-4
W
2025-06-11 · PD40/Perkins/FTC · #1 Doubles · 2.5 · with Ronelle van Heerden
loading the estimate
6-4, 7-5
W
2025-04-12 · PD40/Nickel/FTC · #2 Doubles · 3.5 · with Marlene Ward
loading the estimate
6-4, 6-4
W
2025-04-05 · PD18/Storr/EBE · #1 Doubles · 3.5 · with Marlene Ward
loading the estimate
4-6, 6-1, 1-0
L
2025-03-31 · PD18/Storr/EBE · #1 Doubles · 3.5 · with Ophillia Dominique
loading the estimate
4-6, 2-6
W
2025-03-10 · PD18/Storr/EBE · #2 Doubles · 3.5 · with Ophillia Dominique
loading the estimate
6-3, 7-6
W
2025-03-05 · PD40/Nickel/FTC · #3 Doubles · 3.5 · with Robin Siegal
loading the estimate
7-6, 6-1
Where you rank locallyagainst everyone at your level
Teams35 teams · 2019–2026
Over timerating by season, and how you rank
By level6 levels played
2.5
78.9%
15W–4L · 63.2% of games
3.0
68.2%
30W–14L · 60.7% of games
3.5
66.7%
12W–6L · 57.2% of games
5.5
75%
9W–3L · 64.9% of games
6.5
72.7%
8W–3L · 60.6% of games
6.0mixed
1W–0L
not enough matches yet

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

By lineusually #1 Doubles, 29% of the time
#1 Doubles
29%
30 matches
#2 Doubles
28%
29 matches
#1 Singles
26%
27 matches
#3 Doubles
15%
16 matches
#3 Singles
2%
2 matches
#2 Singles
1%
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.

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.
Martina Navratilova