Teams

4SCWB-GAY 65 MEN COMBO SEM F2

2022 SEM FALL COMBO DOUBLES · MEN 65 COMBO SEM

11 players · average NTRP 3.40 / S.E. MICHIGAN

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
2022-12-17vs 2FAC-UNO 65 MEN COMBO SEM F2Lost 02
L#2 DoublesPete Solomon / Chee Cheong vs Steven Fitzpatrick / John Cornellier2-6, 6-3, 1-0
L#3 DoublesRod Beard / Matthias Podzuhn vs Yuhei Uno / Cason Conway3-6, 7-5, 0-1
W#1 DoublesTaek Kim / Matthias Podzuhn vs Mike Juras / Marty Tighe6-2, 6-1
W#2 DoublesPete Solomon / Charles King vs Frank Kozik / James Elson6-3, 6-4
W#3 DoublesRavinder Sharma / Ajay Nuthalapati vs Peter Vasher / Wright Mitchell6-1, 6-4
2022-12-03vs 2FAC-UNO 65 MEN COMBO SEM F2Lost 03
L#1 DoublesJulian Gay / Matthias Podzuhn vs Steven Fitzpatrick / Hiroki Morioka3-6, 4-6
L#2 DoublesAjay Nuthalapati / Rod Beard vs Herbert White / Thomas Joseph Muringasseril2-6, 2-6
L#3 DoublesChee Cheong / Mark Moskal vs Jeffrey Rooke / Sheel Desai4-6, 1-6
W#1 DoublesJulian Gay / Matthias Podzuhn vs Dale Greve / David Ball6-1, 6-4
W#2 DoublesRod Beard / Ajay Nuthalapati vs Kevin Marvin / Matthew Bonventre6-1, 0-6, 1-0
W#3 DoublesPatrick Partyka / Bernard MacDonald vs Gregory Patterson / Martin Klein2-6, 7-6, 1-0
L#1 DoublesJulian Gay / Ajay Nuthalapati vs Francis Deguzman / Fernando Franco3-6, 2-6
L#3 DoublesWei Lau / Patrick Partyka vs Thomas Hang / Joseph Hernandez3-6, 2-6
W#1 DoublesMatthias Podzuhn / Taek Kim vs Trevor Thompkins / Peter Vasher6-2, 6-1
W#2 DoublesRod Beard / Charles King vs Reiner Schmidt / Norbert Jones6-4, 6-4
L#3 DoublesRavinder Sharma / Scott Harris vs James Elson / Paul Kania7-5, 1-6, 0-1
L#1 DoublesMark Moskal / Ajay Nuthalapati vs David Ball / Dale Greve6-4, 3-6, 0-1
L#2 DoublesBernard MacDonald / Taek Kim vs Gregory Patterson / Sean Granger3-6, 7-5, 1-0
W#3 DoublesPete Solomon / Charles King vs Damon Carter / Anthony Pipitone6-0, 6-0
L#1 DoublesJulian Gay / Bernard MacDonald vs Marlon Maputol / Al Antonio2-6, 3-6
L#2 DoublesPatrick Partyka / Wei Lau vs Lester Delegencia / Vinodh Balasubramanian1-6, 2-6
W#3 DoublesCharles King / Pete Solomon vs Gilbert Galicia / Fernando Franco6-2, 4-6, 1-0
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 standings9 teams · MEN 65 COMBO SEM
TeamWLInd. WInd. LSets lostGames lost
13PEACH-HOMBREBUENO 65 MEN COMBO SEM F2802227150
24LIB-KORNFELD 65 MEN COMBO SEM F17221616191
32FAC-UNO 65 MEN COMBO SEM F26218615170
41HV-ENRIGHT 65 MEN COMBO SEM F154161127236
53MONY-COLE 65 MEN COMBO SEM F154141328237
64SCWB-GAY 65 MEN COMBO SEM F235101431219
76EAST-BONVENTRE 65 MEN COMBO SEM F22651940252
85EAST-MITCHELL 65 MEN COMBO SEM F21751941267
92LIB-DIHLE 65 MEN COMBO SEM F11832451324

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 3.16 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.

3.30
Matthias Podzuhn
usually #1 Doubles 86%, also #3 Doubles 14% · published
3.23
Ajay Nuthalapati
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
3.19
Julian Gay
usually #1 Doubles 100% · published 3.5
3.18
Pete Solomon
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.15
Patrick Partyka
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.14
Ravinder Sharma
usually #3 Doubles 100% · published
3.13
Chee Cheong
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
2.99
Bernard MacDonald
usually #1 Doubles 33%, also #2 Doubles 33% · published 3
Rod Beard
usually #2 Doubles 75%, also #3 Doubles 25% · published
Taek Kim
usually #1 Doubles 67%, also #2 Doubles 33% · published
Wei Lau
usually #2 Doubles 50%, also #3 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.

Julian Gay + Rod Beard6649% games+7.2% vs expected
Julian Gay + Pete Solomon3454% games+7.0% vs expected
Julian Gay + Patrick Partyka1438% 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.

Matthias Podzuhn
45W–22L career · 7 lines in 2022
1%93%6%
3.30
3.5
Ajay Nuthalapati
25W–36L career · type A · 5 lines in 2022
4%94%2%
3.23
3.5
Julian Gay
54W–111L career · 4 lines in 2022
7%92%1%
3.19
Pete Solomon
16W–29L career · 4 lines in 2022
8%91%1%
3.18
3.5
Patrick Partyka
33W–35L career · 3 lines in 2022
13%87%<1%
3.15
Ravinder Sharma
16W–15L career · 2 lines in 2022
14%85%<1%
3.14
3.5
Chee Cheong
54W–22L career · 2 lines in 2022
17%83%<1%
3.13
3
Bernard MacDonald
62W–31L career · 3 lines in 2022
<1%52%48%
2.99
Rod Beard
34W–34L career · 4 lines in 2022
not enough data
Taek Kim
25W–11L career · 3 lines in 2022
not enough data
Wei Lau
34W–59L career · 2 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.