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Nancy Rowe

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Sudbury, MA
3.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
4 matches · 3W–1L · seasons 2023–2024
Match history4 matches
W
2024-07-08 · LFW:Longfellow:Ackerley · #2 Doubles · 3.0 · with Jeanne Ackerley
loading the estimate
5-7, 6-3, 1-0
W
2024-06-24 · LFW:Longfellow:Ackerley · #2 Doubles · 3.0 · with Nellie Glick
loading the estimate
6-0, 6-4
W
2024-06-03 · LFW:Longfellow:Ackerley · #2 Doubles · 3.0 · with Jeanne Ackerley
loading the estimate
6-0, 6-1
L
2023-07-11 · LFW:Longfellow Green:Buser/Carbutt · #3 Doubles · 3.0 · with Claire Hu
loading the estimate
3-6, 3-6
Where you rank locallyagainst everyone at your level
Teams2 teams · 2023–2024
Over timerating by season, and how you rank
By level1 level played
3.0
75%
3W–1L · 60.9% of games

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

By lineusually #2 Doubles, 75% of the time
#2 Doubles
75%
3 matches
#3 Doubles
25%
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.

Experience is a big word. I think it comes with time, and I have that.
Serena Williams