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Hannah Taylor

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CALABASAS, CA
3.0C year-end 2024
i
Computer — generated by the USTA algorithm from match play
20 matches · 1W–19L · seasons 2019–2026
Match history20 matches
L
2026-09-10 · String Theory/Schechter-Benveniste/Calabasas · #3 Doubles · 3.5 · with Fran Prange
loading the estimate
0-6, 0-6
L
2026-06-12 · String Theory/Schechter-Benveniste/Calabasas · #2 Doubles · 3.5 · with Fran Prange
loading the estimate
3-6, 0-6
L
2026-05-29 · String Theory/Schechter-Benveniste/Calabasas · #3 Doubles · 3.5 · with Fran Prange
loading the estimate
2-6, 0-6
L
2026-04-30 · String Theory/Schechter-Benveniste/Calabasas · #2 Doubles · 3.5 · with Hope Jones
loading the estimate
1-6, 2-6
W
2026-04-22 · String Theory/Schechter-Benveniste/Calabasas · #3 Doubles · 3.5 · with Fran Prange
loading the estimate
6-1, 7-5
L
2025-05-08 · SFV - String Theory · #1 Doubles · 3.5 · with Susan Schechter
loading the estimate
2-6, 3-6
L
2024-10-31 · SFV - String Theory · #2 Doubles · 3.5 · with Fran Prange
loading the estimate
3-6, 2-6
L
2024-09-20 · SFV - String Theory · #1 Doubles · 3.5 · with Felice Densa
loading the estimate
0-6, 0-6
L
2024-09-13 · SFV - String Theory · #3 Doubles · 3.5 · with Lolita Ezzatian
loading the estimate
4-6, 0-6
L
2023-06-09 · SFV - String Theory · #1 Doubles · 3.5 · with Holly Culhane
loading the estimate
0-6, 0-6
L
2023-05-26 · SFV - String Theory · #1 Doubles · 3.5 · with Wendy Nickerson
loading the estimate
1-6, 0-6
L
2023-05-12 · SFV - String Theory · #1 Doubles · 3.5 · with Felice Densa
loading the estimate
2-6, 0-6
Where you rank locallyagainst everyone at your level
Teams10 teams · 2019–2026
Over timerating by season, and how you rank
By level1 level played
3.5
5%
1W–19L · 27.1% of games

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

By lineusually #3 Doubles, 55% of the time
#3 Doubles
55%
11 matches
#1 Doubles
25%
5 matches
#2 Doubles
20%
4 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 don’t want to be somebody else. I want to be myself and win in my way.
Rafael Nadal