Teams

Baker/Nundkumar - Tri18s W 4.0/3.5/3.0 Tues

2024 Piedmont Tri-Level 18 & Over · 4.0

15 players · average NTRP 3.62 / NORTH CAROLINA

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Schedule4 played
2024-07-02vs Tyler - Tri18s W 4.0/3.5/3.0 TuesLost 01
L#1 DoublesDanielle Broadstreet / Maggie Riley vs Yukari Matsuoka / Sayaka Matsuoka2-6, 3-6
W#1 DoublesDanielle Broadstreet / Maggie Riley vs Clarissa Tatum / Kristi Nicholson6-3, 7-6
W#1 DoublesSara Nundkumar / Maggie Riley vs Jennifer Jacobs / Cj Isner6-3, 6-3
W#1 DoublesTammy Kasik / Maggie Riley vs Sarah Howell / Niddy Corrias6-2, 6-2
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 4.0 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 3.46 estimated across 13 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.

3.80
Michele Alvarino
published
3.78
Sara Nundkumar
published
3.77
Anna Mickleberry
published 3.5
3.64
3.60
Tammy Kasik
published
3.59
Maggie Riley
usually #1 Doubles 100% · published
3.48
Melissa Baker
published
3.48
Lauren Varkey
published
3.35
Lesley Rossato
published
3.27
Ashley Xu
published 3.5
3.13
London Kern
published
3.06
Ashley Raley
published 3.5
3.01
Margo Rossato
published
Kelly Pryzwansky
published
Lili Harding
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.

Melissa Baker + Ashley Xu9359% games+12.1% vs expected
Ashley Xu + Margo Rossato4254% games+11.6% vs expected
Sara Nundkumar + Michele Alvarino3257% games+6.2% vs expected
Danielle Broadstreet + Sara Nundkumar0535% gamesnot enough data
Danielle Broadstreet + Michele Alvarino134 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.

Michele Alvarino
22W–18L career · no lines in 2024
2%91%8%
3.80
Sara Nundkumar
20W–19L career · no lines in 2024
2%92%6%
3.78
3.5
Anna Mickleberry
28W–7L career · no lines in 2024
<1%3%97%
3.77
4
Danielle Broadstreet
16W–17L career · no lines in 2024
16%83%<1%
3.64
Tammy Kasik
7W–7L career · no lines in 2024
23%77%<1%
3.60
Maggie Riley
52W–49L career · 4 lines in 2024
26%74%<1%
3.59
Melissa Baker
35W–22L career · no lines in 2024
<1%56%44%
3.48
Lauren Varkey
15W–5L career · no lines in 2024
<1%57%43%
3.48
Lesley Rossato
6W–5L career · no lines in 2024
85%15%<1%
3.35
3.5
Ashley Xu
32W–24L career · no lines in 2024
3%92%5%
3.27
London Kern
13W–22L career · no lines in 2024
17%82%<1%
3.13
3.5
Ashley Raley
6W–20L career · no lines in 2024
32%68%<1%
3.06
Margo Rossato
23W–25L career · no lines in 2024
<1%47%53%
3.01
Kelly Pryzwansky
15W–12L career · no lines in 2024
not enough data
Lili Harding
0W–3L career · no lines in 2024
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.