Teams

Kapustik/Price

Northern Tier - Singles Flex League · Women Singles

7 players · average NTRP / CENTRAL PENNSYLVANIA

View scouting list →
Schedule7 played
2024-09-14vs Pilouras/DuffieLost 12
W#1 SinglesJung In Kim vs Chloe Cho6-3, 6-2
L#2 SinglesNatalie Kapustik vs Margaret ELLIS5-7, 4-6
L#3 SinglesMariah Harmon vs Yoon Hur4-6, 2-6
2024-09-08vs Pilouras/DuffieSplit 11
W#1 SinglesGabriela Rivera vs Guadalupe Marti-Pena6-1, 6-0
L#2 SinglesMaggie Doby vs Becky Moore0-6, 6-4, 0-1
2024-09-01vs Pilouras/DuffieSplit 11
W#2 SinglesHuijun Shen vs Chloe Cho6-3, 6-3
L#3 SinglesMariah Harmon vs Yoon Hur0-6, 1-6
2024-08-10vs Pilouras/DuffieSplit 11
L#2 SinglesNatalie Kapustik vs Yoon Hur7-5, 4-6, 0-1
W#3 SinglesHuijun Shen vs Ana Butler6-0, 6-0
2024-08-01vs Pilouras/DuffieSplit 11
W#1 SinglesGabriela Rivera vs Judy Steinhilper6-4, 6-1
L#3 SinglesNora Vizzini vs Margaret ELLIS4-6, 3-6
2024-07-27vs Pilouras/DuffieLost 03
L#1 SinglesHuijun Shen vs Anastasia Piliouras3-6, 6-7
L#2 SinglesNatalie Kapustik vs Peggy Duffie1-6, 2-6
L#3 SinglesMariah Harmon vs Chloe Cho1-6, 0-6
2024-07-22vs Pilouras/DuffieSplit 11
W#1 SinglesJung In Kim vs Anastasia Piliouras6-3, 7-6
L#3 SinglesMariah Harmon vs Ana Butler6-6
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 standings2 teams · Women Singles
TeamWLInd. WInd. LSets lostGames lost
1Kapustik/Price52101123175
2Pilouras/Duffie25101124189

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.

Roster averages 3.05 estimated across 6 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.

3.45
Huijun Shen
usually #3 Singles 33%, also #2 Singles 33% · published
3.18
Maggie Doby
usually #2 Singles 100% · published
3.06
Jung In Kim
usually #1 Singles 100% · published
2.93
Natalie Kapustik
usually #2 Singles 100% · published
2.91
Mariah Harmon
usually #3 Singles 100% · published
2.78
Nora Vizzini
usually #3 Singles 100% · published
Gabriela Rivera
usually #1 Singles 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.

Nora Vizzini + Natalie Kapustik123 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.

Huijun Shen
16W–12L career · 3 lines in 2024
<1%64%36%
3.45
Maggie Doby
10W–8L career · 1 line in 2024
<1%10%90%
3.18
Jung In Kim
11W–11L career · 2 lines in 2024
33%67%<1%
3.06
Natalie Kapustik
8W–14L career · 3 lines in 2024
<1%70%30%
2.93
Mariah Harmon
5W–14L career · 4 lines in 2024
<1%74%26%
2.91
Nora Vizzini
5W–20L career · 1 line in 2024
2%92%6%
2.78
Gabriela Rivera
13W–16L career · 2 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.