Teams

Nassau-Colton

2022 18&Over Mixed · 8.0

18 players · average NTRP 3.88 / NEW JERSEY 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 →
Schedule11 played
2022-05-01vs Breaking Bad-AssesWon 30
W#1 DoublesColton van Mol / Kallie Speller vs Leona Lane / Mark Pollack7-5, 6-2
W#2 DoublesDorothy Logan / Christopher Berlind vs Carol Conroy / Daniel Plotnick6-2, 6-7, 1-0
W#3 DoublesLinh Fruge / Bryan Welch vs Melinda Trang / Clint Tomlinson7-6, 4-1
2022-04-24vs UnbreakablesSplit 11
L#1 DoublesChristopher Berlind / Janet Wang vs Lars Bohn / Jamie Wasserman4-6, 4-6
W#3 DoublesElise Gerdes / William Tian vs Elena DeBarbadillo / Arthur Ferrante3-6, 6-1, 1-0
2022-04-10vs Breaking Bad-AssesWon 20
W#1 DoublesDaniel Higgins / Naoko Ikeda vs N/A6-0, 6-0
W#2 DoublesDaniel Hudec / Elise Gerdes vs Daniel Plotnick / Carol Conroy6-2, 6-1
2022-04-08vs UnbreakablesLost 01
L#2 DoublesRobert Khalev / Dorothy Spenner vs Marc Cohen / Lucia Gagnon4-6, 7-6, 0-1
2022-04-03vs HTP-The Bad News PairsWon 21
W#1 DoublesDanielle Nappi / Bryce Perritt vs Jennifer Lai / Geoffrey Jacobson6-1, 1-6, 1-0
W#2 DoublesLinh Fruge / Christopher Berlind vs Wendi Cohen / Delroy Morgan6-7, 6-4, 1-0
L#3 DoublesMiell Yi / William Tian vs Mary Chion / Nui Chan2-6, 0-6
2022-03-27vs UnbreakablesLost 03
L#1 DoublesJohn Kudrle / Helen Liu vs Raymond Matthieu Postadan / Cecilia Orchard1-6, 1-6
L#2 DoublesRobert Khalev / Linh Fruge vs Samantha Mulcahy / Jon Rubinstein5-7, 5-7
L#3 DoublesElise Gerdes / Colton van Mol vs Kristy Gilbert / Eric Levitch3-6, 6-4, 1-0
2022-03-25vs DNAWon 10
W#2 DoublesRobert Khalev / Dorothy Spenner vs Michael Huh / Patricia Travers3-6, 7-5, 1-0
2022-03-20vs Hot Mix EastWon 21
W#1 DoublesJohn Kudrle / Kallie Speller vs Mohammed Muqtadir / Lindsey Amarhanow6-2, 6-2
L#2 DoublesDaniel Hudec / Miell Yi vs Chanaka Amarasinghe / Olga Carey2-6, 6-7
W#3 DoublesChristopher Berlind / Dorothy Logan vs Gina Pento / Chris V Pento6-1, 7-6
2022-03-13vs Hot Mix EastLost 12
L#1 DoublesNaoko Ikeda / Bryce Perritt vs Jennifer Martz / Tyler Harris6-4, 4-6, 0-1
W#2 DoublesJanet Wang / Robert Khalev vs Gina Pento / Chris V Pento5-7, 6-4, 1-0
L#3 DoublesJohn Schneider / Izabela Duda vs Lindsey Amarhanow / Mohammed Muqtadir2-6, 0-6
2022-02-27vs HTP-The Bad News PairsLost 12
W#1 DoublesDanielle Nappi / Robert Khalev vs Kathy Hargens / Kevin Proctor6-3, 3-6, 1-0
L#2 DoublesElise Gerdes / Daniel Higgins vs Christine Ferrara / Chih Chang7-5, 2-6, 0-1
L#3 DoublesIzabela Duda / Bryan Welch vs Yoonhee Kang / Benny Fung4-6, 4-6
2022-02-25vs UnbreakablesWon 10
W#1 DoublesRobert Khalev / Dorothy Spenner vs Le Rong Wu / Edina Jung7-6, 5-2
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 standings4 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1No Strings Attached 8.00818617194
2HTP-The Bad News Pairs08141023201
3Nassau-Colton08131128227
4Hot Mix East08121228216

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 3.82 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.

4.40
Elise Gerdes
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.31
Kallie Speller
usually #1 Doubles 100% · published
4.20
Bryce Perritt
usually #1 Doubles 100% · published 4.5
4.15
Robert Khalev
usually #2 Doubles 67%, also #1 Doubles 33% · published
4.14
Miell Yi
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.88
John Kudrle
usually #1 Doubles 100% · published
3.82
Naoko Ikeda
usually #1 Doubles 100% · published 4
3.81
Colton van Mol
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
Bryan Welch
published 4
3.72
Izabela Duda
usually #3 Doubles 100% · published 4
3.70
Christopher Berlind
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.27
Danielle Nappi
usually #1 Doubles 100% · published 3.5
Daniel Higgins
published 3.5
Daniel Hudec
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.18
Linh Fruge
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.09
Dorothy Logan
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
Helen Liu
published
John Schneider
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.

Christopher Berlind + Dorothy Logan7653% games+4.3% vs expected
Miell Yi + John Kudrle3550% games−6.0% vs expected
Izabela Duda + Daniel Higgins8359% gamesnot enough data
Miell Yi + Daniel Higgins8156% gamesnot enough data
Bryce Perritt + Dorothy Logan4446% gamesnot enough data
Colton van Mol + Elise Gerdes4355% gamesnot enough data
Elise Gerdes + Daniel Hudec4357% gamesnot enough data
Kallie Speller + John Kudrle4260% gamesnot 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
Elise Gerdes
121W–89L career · 4 lines in 2022
<1%77%23%
4.40
Kallie Speller
31W–23L career · 2 lines in 2022
1%92%7%
4.31
4.5
Bryce Perritt
60W–62L career · 2 lines in 2022
6%93%1%
4.20
Robert Khalev
72W–40L career · 6 lines in 2022
12%87%<1%
4.15
Miell Yi
118W–103L career · 2 lines in 2022
14%85%<1%
4.14
John Kudrle
158W–86L career · 2 lines in 2022
<1%82%18%
3.88
4
Naoko Ikeda
100W–48L career · 2 lines in 2022
1%91%9%
3.82
4
Colton van Mol
258W–172L career · 4 lines in 2022
1%92%7%
3.81
4
Bryan Welch
17W–10L career · no lines in 2022
not enough data
4
Izabela Duda
138W–74L career · 2 lines in 2022
4%94%2%
3.72
4
Christopher Berlind
73W–65L career · 4 lines in 2022
6%93%1%
3.70
3.5
Danielle Nappi
63W–30L career · 2 lines in 2022
2%94%4%
3.27
3.5
Daniel Higgins
51W–34L career · no lines in 2022
not enough data
3.5
Daniel Hudec
44W–32L career · 4 lines in 2022
not enough data
3.5
Linh Fruge
124W–87L career · 3 lines in 2022
9%91%1%
3.18
3.5
Dorothy Logan
97W–85L career · 2 lines in 2022
24%76%<1%
3.09
Helen Liu
3W–7L career · no lines in 2022
not enough data
John Schneider
9W–4L 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.