Teams

Nundkumar - Tri-Level 18s 3.0/3.5/4.0

2022 Piedmont Tri-Level 18 & Over · 3.0

12 players · average NTRP 4.12 / NORTH CAROLINA

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Flight standings for 3.0 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 3.63 estimated across 11 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.

4.28
Christina Rush
published 4.5
4.15
Ai Terui
published 4.5
3.81
Sara Nundkumar
published
3.65
3.59
Maggie Riley
usually #1 Doubles 60%, also #2 Doubles 40% · published
3.56
Melissa Beeson
published
3.54
Tammy Kasik
published
3.48
Melissa Baker
published
3.47
Lauren Varkey
published
3.21
Ashley Xu
published 3.5
3.13
London Kern
published
Kelly Pryzwansky
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+12.4% vs expected
Danielle Broadstreet + Sara Nundkumar0535% gamesnot enough data
Tammy Kasik + Ashley Xu033 matchesnot enough data
Melissa Beeson + Ai Terui123 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.

4.5
Christina Rush
19W–11L career · no lines in 2022
2%94%4%
4.28
4.5
Ai Terui
9W–10L career · type S · no lines in 2022
12%88%<1%
4.15
Sara Nundkumar
22W–19L career · no lines in 2022
1%92%7%
3.81
4
Danielle Broadstreet
16W–18L career · no lines in 2022
12%88%<1%
3.65
Maggie Riley
52W–50L career · 5 lines in 2022
24%76%<1%
3.59
Melissa Beeson
13W–20L career · no lines in 2022
33%67%<1%
3.56
Tammy Kasik
7W–8L career · no lines in 2022
38%62%<1%
3.54
Melissa Baker
37W–22L career · no lines in 2022
<1%55%45%
3.48
Lauren Varkey
15W–5L career · no lines in 2022
<1%58%42%
3.47
3.5
Ashley Xu
32W–26L career · no lines in 2022
5%94%1%
3.21
London Kern
13W–22L career · no lines in 2022
16%84%<1%
3.13
Kelly Pryzwansky
15W–12L career · no lines in 2022
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.