Teams

4WESS-WEINGARDEN 75 MEN COMBO SEM F3

2022 SEM FALL COMBO DOUBLES · MEN 75 COMBO SEM

21 players · average NTRP 3.92 / 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 →
Schedule9 played
2022-12-17vs 1FAC-MAHMOOD 75 MEN COMBO SEM F3Lost 12
L#1 DoublesMatthias Podzuhn / Yang-Chih Chou vs Jingkang Wang / Alfredo Ospina3-6, 4-6
L#2 DoublesDavid Bilson / Guangchun Liu vs David Yang / Edwin Krenz3-6, 0-6
W#3 DoublesHoward Weingarden / Michael Young vs N/A6-0, 6-0
W#2 DoublesDavid Sidder / David Bilson vs Sridhar Perala / Surya Prakash Manepalli6-2, 6-3
W#3 DoublesJay Dalal / Kevin Agrest vs Madhu Dayananthan / Ramakrishna Kapilavai7-6, 7-6
2022-12-03vs 3BEV-ROSEN 75 MEN COMBO SEM F3Won 20
W#1 DoublesHoward Weingarden / Michael Young vs Joshua Oderkirk / Jacob Sa6-1, 7-6
W#2 DoublesSteven Millard / Greg Kramer vs Marlon Maputol / Xavier Vericat Torres6-2, 3-6, 1-0
L#1 DoublesJeff Petherick / Greg Kramer vs Surya Prakash Manepalli / Ramakrishna Kapilavai4-6, 6-1, 0-1
L#3 DoublesJoel Ewald / Guangchun Liu vs Sainath Lachhireddygari / Abijit Krishnan2-6, 4-6
2022-11-06Won 20
W#2 DoublesHoward Weingarden / Michael Young vs Shawn Snell / Sean Gordon6-3, 2-6, 1-0
W#3 DoublesJoel Murav / Yoshihiro Omori vs Aaron Rosen / Dale Gardner4-6, 6-2, 1-0
2022-10-30vs 1FAC-MAHMOOD 75 MEN COMBO SEM F3Won 21
W#1 DoublesMorihiko Enomoto / Greg Kramer vs Kevin Daly / Steven Brown6-2, 4-6, 1-0
L#2 DoublesJeff Petherick / David Sidder vs David Yang / Alfredo Ospina2-6, 3-6
W#3 DoublesJoel Ewald / Jason Ingber vs Brian Roberts / Yash Solanki6-2, 6-4
2022-10-22vs 1FAC-MAHMOOD 75 MEN COMBO SEM F3Lost 02
L#2 DoublesDavid Bilson / Michael Young vs Alfredo Ospina / Brian Roberts2-6, 6-3, 0-1
L#3 DoublesKevin Agrest / Steven Millard vs Johan Mahmood / Yash Solanki0-6, 3-6
2022-10-15vs 3BEV-ROSEN 75 MEN COMBO SEM F3Won 20
W#2 DoublesMorihiko Enomoto / Joel Murav vs Jonathon Hofley / Nicolas Fedirko6-4, 6-1
W#3 DoublesHoward Weingarden / Kevin Agrest vs James Oderkirk / Joshua Oderkirk7-6, 6-0
L#1 DoublesYoshihiro Omori / Kevin Agrest vs Praveen Kumar Konada / Madhu Dayananthan4-6, 4-6
L#2 DoublesHoward Weingarden / Guangchun Liu vs Rohit Srinath / Santosh Kumar Muthiah Tamilmani7-6, 4-6, 1-0
L#3 DoublesJay Dalal / Andrew Mayoras vs Sainath Lachhireddygari / Abijit Krishnan6-7, 4-6
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 standings16 teams · MEN 75 COMBO SEM
TeamWLInd. WInd. LSets lostGames lost
11FAC-MAHMOOD 75 MEN COMBO SEM F37119514181
21EAST-ZAMPARDO 75 MEN COMBO SEM F27116820223
32EAST-STUDDERS 75 MEN COMBO SEM F26216818181
42VTC-MOSELEY 75 MEN COMBO SEM F163171024225
51LIB-STPIERRE 75 MEN COMBO SEM F163161126217
64HV-BREWER 75 MEN COMBO SEM F154131434272
74PEACH-SELLERS 75 MEN COMBO SEM F24415918158
84WESS-WEINGARDEN 75 MEN COMBO SEM F344131126206
92BLOOM-MANEPALLI 75 MEN COMBO SEM F3339921176
103LTF-ARIMA 75 MEN COMBO SEM F22651939258
115DEER-ARENS 75 MEN COMBO SEM F21781634247
123BEV-ROSEN 75 MEN COMBO SEM F31742043283
133FAC-XU 75 MEN COMBO SEM F11881941290
14drop 9.1 762619 EAST-MITCHELL 75 MEN000000
15drop 9.6 0P 756027 PEACH-HOMBREBUENO 75 MEN000000
16drop 9.6 0P 759652 MONY-SZYMANSKI 75 MEN000000

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 3.59 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.

David Lai
usually #2 Doubles 50%, also #3 Doubles 25% · published 4.5
3.87
Steven Millard
usually #2 Doubles 43%, also #1 Doubles 29% · published 4
3.86
Inbum Song
published 4.5
3.80
David Bilson
usually #2 Doubles 100% · published 4
3.76
Jay Dalal
usually #3 Doubles 100% · published 4
Guangchun Liu
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.74
Joel Murav
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.62
Howard Weingarden
usually #2 Doubles 40%, also #3 Doubles 40% · published 4
3.60
Joel Ewald
usually #3 Doubles 100% · published 4
3.58
Jason Ingber
usually #3 Doubles 100% · published
3.50
Greg Kramer
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.44
Brad Stieber
usually #1 Doubles 86%, also #3 Doubles 14% · published 3.5
3.33
Andrew Mayoras
usually #3 Doubles 100% · published 3.5
3.30
Matthias Podzuhn
usually #1 Doubles 86%, also #3 Doubles 14% · published
3.27
David Sidder
usually #2 Doubles 100% · published 3.5
Jeff Petherick
usually #1 Doubles 50%, also #2 Doubles 50% · published
Kevin Agrest
usually #3 Doubles 75%, also #1 Doubles 25% · published
Morihiko Enomoto
published
Myles Geloneck
usually #1 Doubles 75%, also #2 Doubles 25% · published
Yang-Chih Chou
usually #1 Doubles 100% · published
Yoshihiro Omori
usually #3 Doubles 75%, also #1 Doubles 25% · 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.

Andrew Mayoras + Greg Kramer8260% games+6.3% vs expected
Howard Weingarden + Jay Dalal4258% games+6.2% vs expected
Kevin Agrest + Greg Kramer6067% games+4.4% vs expected
Andrew Mayoras + Jason Ingber5450% games+2.1% vs expected
Kevin Agrest + Jason Ingber5547% games+0.1% vs expected
Steven Millard + Myles Geloneck3639% games−5.4% vs expected
Kevin Agrest + David Sidder4350% games−6.2% vs expected
Jay Dalal + Joel Ewald0635% games−8.2% vs expected
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
David Lai
20W–11L career · 4 lines in 2022
not enough data
4
Steven Millard
200W–175L career · 7 lines in 2022
<1%83%17%
3.87
4.5
Inbum Song
18W–38L career · no lines in 2022
86%14%<1%
3.86
4
David Bilson
40W–25L career · 3 lines in 2022
1%93%6%
3.80
4
Jay Dalal
227W–145L career · 2 lines in 2022
2%94%3%
3.76
4
Guangchun Liu
19W–14L career · 3 lines in 2022
not enough data
Joel Murav
44W–37L career · 2 lines in 2022
3%94%2%
3.74
4
Howard Weingarden
78W–68L career · 5 lines in 2022
19%81%<1%
3.62
4
Joel Ewald
87W–122L career · 2 lines in 2022
23%77%<1%
3.60
Jason Ingber
43W–41L career · 1 line in 2022
26%74%<1%
3.58
3.5
Greg Kramer
56W–10L career · 3 lines in 2022
<1%49%51%
3.50
3.5
Brad Stieber
178W–55L career · 7 lines in 2022
<1%68%32%
3.44
3.5
Andrew Mayoras
60W–34L career · 1 line in 2022
1%90%9%
3.33
Matthias Podzuhn
45W–22L career · 7 lines in 2022
1%93%6%
3.30
3.5
David Sidder
36W–38L career · 2 lines in 2022
2%94%4%
3.27
Jeff Petherick
31W–29L career · 2 lines in 2022
not enough data
Kevin Agrest
78W–70L career · 4 lines in 2022
not enough data
Morihiko Enomoto
1W–1L career · no lines in 2022
not enough data
Myles Geloneck
30W–25L career · 4 lines in 2022
not enough data
Yang-Chih Chou
26W–20L career · 1 line in 2022
not enough data
Yoshihiro Omori
22W–26L career · 4 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.