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Nina Connolly

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Franklin Lakes, NJ
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
6 matches · 3W–3L · seasons 2025–2025
Match history6 matches
L
2025-07-18 · NJ: Iron Swing · #1 Doubles · 3.5 · with Julie Lee
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6-2, 4-6, 0-1
L
2025-07-11 · Kiss My Ace · #3 Doubles · 3.5 · with Tara St-Pierre
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2-6, 4-6
W
2025-06-25 · Kiss My Ace · #1 Doubles · 3.5 · with Swati Rao-Engel
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6-3, 4-6, 1-0
W
2025-06-20 · NJ: Iron Swing · #1 Doubles · 3.5 · with Hannah Huan
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6-3, 7-5
L
2025-06-13 · NJ: Iron Swing · #2 Doubles · 3.5 · with Maggi Maksoud
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5-7, 5-7
W
2025-06-06 · NJ: Iron Swing · #2 Doubles · 3.5 · with Maggi Maksoud
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2-6, 6-2, 1-0
Where you rank locallyagainst everyone at your level
Teams2 teams · 2025–2025
Over timerating by season, and how you rank
By level1 level played
3.5
50%
3W–3L · 49.6% of games

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

By lineusually #1 Doubles, 50% of the time
#1 Doubles
50%
3 matches
#2 Doubles
33%
2 matches
#3 Doubles
17%
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.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer