Teams

Yonkers Tennis Center - Causing a Racket

2026 18&Over Women Day Fall · 2.5 Day

9 players · average NTRP 2.62 / SOUTHERN REGION

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 →
Schedule2 played
2025-11-18vs Westchester CCLost 03
L#1 DoublesStephanie von Stein / Alice Kung vs Erin Ahrens / Kathryn Kelly1-6, 4-6
L#2 DoublesAnna Fontana / Prudence Fisher vs Erin Brooks / Maggie Cifarelli1-6, 4-6
L#3 DoublesElly Roman / Amy Evans vs Jennifer Swanson / Helen Woods4-6, 2-6
W#1 DoublesLeah VanDeloo / Stephanie von Stein vs Noelle DelGiudice / Pavithra Mandappa6-4, 6-4
W#2 DoublesAnna Fontana / Prudence Fisher vs Kate MacHan / Laura Rubin6-1, 6-2
W#3 DoublesAmy Evans / Elly Roman vs Joan Indig / Anu Mallapaty6-4, 6-4
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 2.5 Day have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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.

Roster averages 2.23 estimated across 5 rated players. 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.

Caitlin Chang
usually #1 Doubles 100% · published 3
2.64
Michele DelGiudice
usually #3 Doubles 100% · published
2.25
Anna Fontana
usually #2 Doubles 100% · published 2.5
2.22
Alice Kung
usually #1 Doubles 100% · published 2.5
2.21
Prudence Fisher
usually #2 Doubles 100% · published
1.85
Elly Roman
usually #3 Doubles 100% · published 2.5
Leah VanDeloo
usually #1 Doubles 100% · published
Melissa Gamache
published
Stephanie von Stein
usually #1 Doubles 100% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Elly Roman + Anna Fontana1535% gamesnot enough data
Alice Kung + Prudence Fisher314 matchesnot enough data
Alice Kung + Caitlin Chang314 matchesnot enough data
Stephanie von Stein + Leah VanDeloo224 matchesnot enough data
Prudence Fisher + Elly Roman134 matchesnot enough data
Prudence Fisher + Anna Fontana314 matchesnot enough data
Michele DelGiudice + Anna Fontana213 matchesnot enough data
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
Caitlin Chang
17W–20L career · 1 line in 2026
not enough data
Michele DelGiudice
14W–19L career · 1 line in 2026
13%86%<1%
2.64
2.5
Anna Fontana
12W–17L career · 2 lines in 2026
0%98%2%
2.25
2.5
Alice Kung
15W–29L career · 1 line in 2026
0%98%2%
2.22
Prudence Fisher
11W–16L career · 2 lines in 2026
0%99%1%
2.21
2.5
Elly Roman
7W–30L career · 2 lines in 2026
0%>99%<1%
1.85
Leah VanDeloo
6W–4L career · 1 line in 2026
not enough data
Melissa Gamache
3W–5L career · no lines in 2026
not enough data
Stephanie von Stein
3W–12L career · 2 lines in 2026
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.