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Katelyn Freece

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Columbus, OH
2.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
9 matches · 1W–8L · seasons 2022–2023
Match history9 matches
L
2023-05-07 · Olympic 1 · #2 Doubles · 3.0 · with Esther Bernzweig
loading the estimate
5-7, 2-5
W
2023-04-30 · Olympic 1 · #3 Doubles · 3.0 · with Esther Bernzweig
loading the estimate
7-6, 5-1
L
2023-04-23 · Olympic 1 · #1 Doubles · 3.0 · with Esther Bernzweig
loading the estimate
0-6, 4-6
L
2023-02-19 · Olympic 1 · #3 Doubles · 3.0 · with Lisa Dickson
loading the estimate
1-6, 1-6
L
2023-02-12 · Olympic 1 · #1 Doubles · 3.0 · with Lisa Dickson
loading the estimate
2-6, 3-6
L
2023-01-07 · Olympic 1 · #3 Doubles · 3.0 · with Debbra Caughell
loading the estimate
4-6, 2-4
L
2022-12-18 · Olympic 1 · #1 Doubles · 3.0 · with Lisa Dickson
loading the estimate
2-6, 0-6
L
2022-12-04 · Olympic 1 · #2 Doubles · 3.0 · with Lisa Dickson
loading the estimate
4-6, 3-6
L
2022-09-18 · Olympic 1 · #2 Doubles · 3.0 · with Karen Vaughn
loading the estimate
5-7, 3-5
Where you rank locallyagainst everyone at your level
Teams3 teams · 2023–2027
Over timerating by season, and how you rank
By level1 level played
3.0
11.1%
1W–8L · 34.4% of games

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

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