Teams

KG 3.0 40+

2022 Howard Columbia Adult 40 & Over · Howard Columbia Adult 40 & Over 3.0 Men

15 players · average NTRP 3.31 / MARYLAND

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Schedule12 played
2022-07-28vs Three Oh Men 40+Won 21
W#1 DoublesMark Greenlee / Jim Hannan vs Adam Drucker / Richard McKeon6-1, 6-2
L#2 DoublesRichard Boales / William Custer vs David Trossman / Mark Rossi0-6, 1-6
W#3 DoublesSung Hwan Yoon / Samit Verma vs Jim Harvey / Mahmood Solaiman4-6, 6-2, 1-0
2022-07-19vs META 3.0 40+Lost 02
L#1 DoublesShawn Reese / Jim Hannan vs Olugbenga Okubadejo / Jon Roll5-7, 1-6
L#2 DoublesRichard Boales / Richie Wang vs Waqas Majeed / Kwangsoo Jeon2-6, 1-6
2022-07-17vs Three Oh Men 40+Won 20
W#2 DoublesJim Hannan / Timothy Murphy vs Jaspreet Singh / Mahmood Solaiman6-1, 6-4
W#3 DoublesSandeep Duvedi / Mark Greenlee vs Colin Lippy / Kurt Uttenreither6-3, 5-7, 1-0
2022-07-16vs Aces Wilde 40+Won 10
W#1 DoublesRudolph Isaac / Sandeep Duvedi vs Geo Pertea / Jeffrey Soriano6-3, 6-1
2022-06-29vs META 3.0 40+Won 10
W#3 DoublesTim Munshell / Chris Kim vs Elmer Buddy Baylor / John Batu6-1, 6-4
2022-06-25vs Aces Wilde 40+Lost 01
L#1 DoublesSung Hwan Yoon / William Custer vs James Albert / Josh Lukin6-7, 1-6
2022-06-16vs Three Oh Men 40+Won 30
W#1 DoublesTim Munshell / Sung Hwan Yoon vs Adam Drucker / Jaspreet Singh4-6, 6-1, 1-0
W#2 DoublesJames Smith / William Custer vs Mark Rossi / Kurt Uttenreither7-5, 6-4
W#3 DoublesChris Kim / Sandeep Duvedi vs Todd Snyder / Robert Terry6-1, 6-3
2022-06-08Won 10
W#3 DoublesWilliam Custer / James Smith vs Charles Breitenother / Antonio Ferreira6-1, 6-3
2022-05-31vs Aces Wilde 40+Won 10
W#2 DoublesTimothy Murphy / Sung Hwan Yoon vs Michael Litzau / Jeffrey Soriano7-6, 6-2
2022-05-25vs Three Oh Men 40+Won 21
L#1 DoublesTim Munshell / James Smith vs Gordon Lui / David Trossman7-5, 5-7, 0-1
W#2 DoublesSean Alewine / Sung Hwan Yoon vs Todd Snyder / Colin Lippy6-0, 6-3
W#3 DoublesShawn Reese / Jim Hannan vs Michael Grover / Jim Harvey7-6, 6-2
2022-05-16vs META 3.0 40+Split 11
L#2 DoublesBill Hartman / Tim Munshell vs Waqas Majeed / Kwangsoo Jeon6-7, 4-6
W#3 DoublesChris Kim / Richie Wang vs Zlaya Novacic / Charles Breitenother6-2, 6-0
2022-05-13vs Aces Wilde 40+Split 11
W#1 DoublesShawn Reese / Sung Hwan Yoon vs Christian Lee / Celso Gutierrez6-3, 6-4
L#2 DoublesTim Munshell / Timothy Murphy vs James Albert / Brian Kuebler3-6, 6-7
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 standings for Howard Columbia Adult 40 & Over 3.0 Men have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.19 estimated across 14 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.

3.65
Sandeep Duvedi
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.47
Sean Alewine
published
3.39
Bill Hartman
published 3.5
3.35
Srinivas Phadnis
published
3.33
Joseph Kowalczyk
published
3.31
Daniel Laczko
published 3.5
3.19
Sung Hwan Yoon
usually #1 Doubles 50%, also #2 Doubles 33% · published 3.5
3.12
Rudolph Isaac
published
3.09
Tim Munshell
usually #3 Doubles 50%, also #2 Doubles 30% · published 3.5
3.07
Shawn Reese
published
3.05
Jim Hannan
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
2.94
William Custer
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.86
Mark Greenlee
published
2.81
Richie Wang
usually #3 Doubles 60%, also #2 Doubles 40% · published 3
Samit Verma
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.

Tim Munshell + Sandeep Duvedi5170% gamesnot enough data
Tim Munshell + Sung Hwan Yoon213 matchesnot enough data
Mark Greenlee + Jim Hannan123 matchesnot enough data
Richie Wang + William Custer213 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.

3.5
Sandeep Duvedi
165W–30L career · 3 lines in 2022
<1%13%87%
3.65
Sean Alewine
29W–16L career · no lines in 2022
<1%60%40%
3.47
3.5
Bill Hartman
35W–18L career · no lines in 2022
<1%80%20%
3.39
Srinivas Phadnis
4W–0L career · no lines in 2022
88%12%<1%
3.35
Joseph Kowalczyk
4W–9L career · no lines in 2022
1%90%9%
3.33
3.5
Daniel Laczko
7W–4L career · no lines in 2022
1%92%7%
3.31
3.5
Sung Hwan Yoon
105W–75L career · type A · 6 lines in 2022
7%92%1%
3.19
Rudolph Isaac
46W–25L career · no lines in 2022
19%81%<1%
3.12
3.5
Tim Munshell
360W–260L career · 10 lines in 2022
23%76%<1%
3.09
Shawn Reese
7W–9L career · no lines in 2022
<1%29%71%
3.07
3
Jim Hannan
133W–127L career · 4 lines in 2022
<1%34%66%
3.05
3
William Custer
46W–47L career · 4 lines in 2022
<1%68%32%
2.94
Mark Greenlee
10W–7L career · no lines in 2022
<1%85%15%
2.86
3
Richie Wang
71W–107L career · 5 lines in 2022
1%92%7%
2.81
Samit Verma
4W–3L 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.