← Search

Maria Cabida

Add to scout listFree account. Monday email when they play.
Marlton, NJ
3.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
64 matches · 32W–32L · seasons 2023–2026
Match history64 matches
W
2026-10-31 · Overserved · #2 Doubles · 3.0 · with Karen Zeltt
loading the estimate
6-0, 6-0
W
2026-10-25 · Sets in the City · #1 Doubles · 3.0 · with Julia MacMinn
loading the estimate
6-3, 6-0
W
2026-10-24 · Overserved · #2 Doubles · 3.0 · with Jennifer Duffield
loading the estimate
6-4, 7-6
L
2026-10-11 · Sets in the City · #2 Doubles · 3.0 · with Katie Horan
loading the estimate
2-6, 2-6
W
2026-10-04 · Sets in the City · #2 Doubles · 3.0 · with Katie Horan
loading the estimate
7-5, 6-4
W
2026-10-03 · Overserved · #2 Doubles · 3.0 · with Karen Zeltt
loading the estimate
6-4, 4-6, 1-0
L
2026-09-20 · Sets in the City · #2 Doubles · 3.0 · with Nina Liou
loading the estimate
1-6, 4-6
L
2026-09-13 · Sets in the City · #2 Doubles · 3.0 · with Allison Trout
loading the estimate
4-6, 6-7
W
2026-09-12 · Overserved · #2 Doubles · 3.0 · with Melanie DeJesus
loading the estimate
6-3, 7-6
L
2026-07-12 · NJD/Overserved · #1 Doubles · 3.0 · with Melanie DeJesus
loading the estimate
7-6, 2-6, 0-1
W
2026-06-07 · NJD/Overserved · #3 Doubles · 3.0 · with Molly Mills
loading the estimate
6-4, 6-1
W
2026-06-06 · Sets in the City · #2 Doubles · 3.0 · with Candice Morciglio
loading the estimate
3-6, 6-3, 1-0
Where you rank locallyagainst everyone at your level
Teams10 teams · 2025–2027
Over timerating by season, and how you rank
By level3 levels played
3.0
52.2%
24W–22L · 49.6% of games
3.5
1W–1L
not enough matches yet
6.5mixed
43.8%
7W–9L · 48.9% of games

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

By lineusually #3 Doubles, 50% of the time
#3 Doubles
50%
32 matches
#2 Doubles
31%
20 matches
#1 Doubles
16%
10 matches
#4 Doubles
3%
2 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.

Start where you are. Use what you have. Do what you can.
Arthur Ashe