Teams

FXL:Deepti Matrona

2023 EMA Singles Flex Women · 3.0 Women

1 player · average NTRP 3.00 / EASTERN MASSACHUSETTS

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings17 teams · 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1FXL:Marisa Fava3030015
2FXL:Tatiana Canepa3030113
3FXL:Jennifer Brooks3333749
4FXL:Stacey Decembrele2020011
5FXL:Carrie Zizza2020221
6FXL:Mariko Neureiter101005
7FXL:Kate Girard1111218
8FXL:Mackenzie Sobchuk1111213
9FXL:Polly Hartin1111216
10FXL:Katia Hashioka1111217
11FXL:Cheryl Hemley1212319
12FXL:Sornalatha Rathnasamy1212429
13FXL:Deepti Matrona0101212
14FXL:Courtney Grygiel0101212
15FXL:Pamela McKee0202424
16FXL:Debbie Rubin0202425
17FXL:Emily Konstan0303634

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

Deepti Matrona
published 3
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

3
Deepti Matrona
1W–9L career · no lines in 2023
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

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.