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Carla Sulka

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Phoenix, AZ
4.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
265 matches · 145W–120L · seasons 2018–2026
Match history265 matches
L
2026-10-27 · 4.0 MTC1 Keller W18F · #3 Doubles · 4.0 · with Sherri Hatch Lindsey
loading the estimate
4-6, 5-7
L
2026-10-24 · 4.0 KIW3 RahhalWolo W55F · #2 Doubles · 4.0 · with Cathy O'Brien
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6-4, 0-6, 0-1
W
2026-10-23 · 4.0 MTC1 Nelson W18Fam · #3 Doubles · 4.0 · with Vangie Wolford
loading the estimate
0-6, 6-3, 1-0
L
2026-10-21 · 4.0 CTC1 Camacho W40F · #1 Doubles · 4.0 · with Aditi Jhalani
loading the estimate
5-7, 1-6
L
2026-10-17 · 4.0 KIW3 RahhalWolo W55F · #1 Doubles · 4.0 · with Cathy O'Brien
loading the estimate
3-6, 3-6
W
2026-10-07 · 4.0 CTC1 Camacho W40F · #2 Doubles · 4.0 · with Lisa Vargas
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6-7, 5-0, 1-0
W
2026-10-02 · 4.0 MTC1 Nelson W18Fam · #3 Doubles · 4.0 · with Pam Rahhal
loading the estimate
6-1, 6-2
W
2026-09-29 · 4.0 MTC1 Keller W18F · #3 Doubles · 4.0 · with Cathy O'Brien
loading the estimate
7-5, 6-2
W
2026-09-25 · 4.0 MTC1 Nelson W18Fam · #3 Doubles · 4.0 · with Aditi Jhalani
loading the estimate
6-2, 6-2
L
2026-09-23 · 4.0 CTC1 Camacho W40F · #1 Doubles · 4.0 · with Aditi Jhalani
loading the estimate
4-6, 4-6
W
2026-09-15 · 4.0 MTC1 Keller W18F · #3 Doubles · 4.0 · with Vangie Wolford
loading the estimate
6-2, 6-2
L
2026-09-08 · 4.0 MTC1 Keller W18F · #3 Doubles · 4.0 · with Cathy O'Brien
loading the estimate
4-6, 4-6
Where you rank locallyagainst everyone at your level
Teams53 teams · 2019–2027
Over timerating by season, and how you rank
By level4 levels played
4.0
54.3%
114W–96L · 51.2% of games
7.5
63.6%
14W–8L · 56.3% of games
8.0
48%
12W–13L · 51.6% of games
8.5
62.5%
5W–3L · 47.5% of games

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

By lineusually #1 Doubles, 47% of the time
#1 Doubles
47%
125 matches
#2 Doubles
32%
85 matches
#3 Doubles
21%
55 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.

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