Teams

Mixed Nuts

2021 40&Over Mixed · 7.0

15 players · average NTRP 3.72 / 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 →
Schedule8 played
2021-08-24vs Kick AcesLost 12
L#1 DoublesJoe Armstrong / Lucila Robert vs Jean Zhang / Derek Jin2-6, 1-6
L#2 DoublesDevang Sodha / Ingrid Floyd vs Alicia Shieh / Daw-Iong Kwok1-6, 6-7
W#3 DoublesDavid Ellner / Debbie Brown vs Hong Wang / Hsiaoli Ma6-1, 3-6, 1-0
2021-08-22vs Kick AcesLost 12
L#1 DoublesMohan Duggi / Trudy Cederqvist vs Jean Zhang / Derek Jin2-6, 1-6
W#2 DoublesDevang Sodha / Dawn Wong vs Alicia Shieh / Jerry Zhang6-2, 5-7, 1-0
L#3 DoublesDavid Ellner / Debbie Brown vs Hong Wang / Rie Yonemochi2-6, 6-3, 0-1
2021-08-17vs Kick AcesLost 12
L#1 DoublesPhilip Oh / Lindsay Cuffaro vs Jean Zhang / Derek Jin6-3, 2-6, 0-1
L#2 DoublesGeoffrey Jacobson / Sherla Glasgow vs Hong Wang / Rie Yonemochi7-5, 3-6, 0-1
W#3 DoublesJeffrey Mayerson / Lucila Robert vs Tina Tang / Jerry Zhang7-5, 6-0
2021-08-14vs Kick AcesLost 12
W#1 DoublesDamon Roth / Ingrid Floyd vs Rie Yonemochi / Daw-Iong Kwok2-6, 6-3, 1-0
L#2 DoublesAlan Kane / Sherla Glasgow vs Jean Zhang / Hong Wang2-6, 2-6
L#3 DoublesPhilip Oh / Debbie Brown vs Alicia Shieh / Jerry Zhang7-6, 5-7, 0-1
2021-08-12vs Kick AcesWon 21
L#1 DoublesAlan Kane / Dawn Wong vs Alicia Shieh / Hong Wang4-6, 2-6
W#2 DoublesJeffrey Mayerson / Trudy Cederqvist vs Tina Tang / Derek Jin6-1, 4-6, 1-0
W#3 DoublesGeoffrey Jacobson / Sherla Glasgow vs Daw-Iong Kwok / Hsiaoli Ma6-1, 6-4
2021-04-09vs NJ: Tennis4LifeWon 10
W#2 DoublesDamon Roth / Ingrid Floyd vs Daniel Hudec / JANET van MOL7-6, 6-4
2021-04-02vs NJ: Tennis4LifeSplit 11
L#1 DoublesIngrid Floyd / Geoffrey Jacobson vs Lars Bohn / Christina Bohn0-6, 4-6
W#2 DoublesPhilip Oh / Hazel-Ann Rodney vs Dan Khoo / Elme Schmid7-6, 4-3
2021-03-26vs NJ: Tennis4LifeLost 01
L#1 DoublesPhilip Oh / Michelle Chung vs Lars Bohn / Christina Bohn0-6, 1-6
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 standings1 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1Mixed Nuts146922149

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 3.40 estimated across 8 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.

3.81
Geoffrey Jacobson
usually #3 Doubles 33%, also #2 Doubles 33% · published 4
Damon Roth
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
David Ellner
usually #3 Doubles 100% · published 4
3.63
Alan Kane
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.59
Devang Sodha
usually #2 Doubles 100% · published 4
3.47
Sherla Glasgow
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.39
Lindsay Cuffaro
usually #1 Doubles 100% · published
3.38
Jeffrey Mayerson
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.01
Ingrid Floyd
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
2.95
Debbie Brown
usually #3 Doubles 100% · published 3.5
Dawn Wong
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
Lucila Robert
usually #3 Doubles 50%, also #1 Doubles 50% · published
Mohan Duggi
usually #1 Doubles 100% · published
Philip Oh
usually #1 Doubles 50%, also #3 Doubles 25% · published
Trudy Cederqvist
usually #2 Doubles 50%, also #1 Doubles 50% · 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.

David Ellner + Debbie Brown9259% gamesnot enough data
Ingrid Floyd + Damon Roth6057% gamesnot enough data
Alan Kane + Ingrid Floyd224 matchesnot enough data
Geoffrey Jacobson + Ingrid Floyd033 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
Geoffrey Jacobson
29W–21L career · 3 lines in 2021
1%92%7%
3.81
4
Damon Roth
27W–8L career · 2 lines in 2021
not enough data
4
David Ellner
16W–11L career · type S · 2 lines in 2021
not enough data
4
Alan Kane
27W–15L career · 2 lines in 2021
16%84%<1%
3.63
4
Devang Sodha
19W–13L career · 2 lines in 2021
25%75%<1%
3.59
3.5
Sherla Glasgow
240W–168L career · 3 lines in 2021
<1%60%40%
3.47
Lindsay Cuffaro
113W–47L career · 1 line in 2021
<1%80%20%
3.39
Jeffrey Mayerson
24W–19L career · 2 lines in 2021
82%18%<1%
3.38
3.5
Ingrid Floyd
201W–228L career · 4 lines in 2021
47%53%<1%
3.01
3.5
Debbie Brown
54W–39L career · 3 lines in 2021
65%35%<1%
2.95
3
Dawn Wong
83W–60L career · 2 lines in 2021
not enough data
Lucila Robert
6W–5L career · 2 lines in 2021
not enough data
Mohan Duggi
45W–45L career · 1 line in 2021
not enough data
Philip Oh
44W–26L career · 4 lines in 2021
not enough data
Trudy Cederqvist
106W–53L career · 2 lines in 2021
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.