Teams

UMLY Tri 4.0

Adult Tri-Level League · Men's Tri Level 3.0 to 4.0

17 players · average NTRP 3.86 / PHILADELPHIA

View scouting list →
Schedule6 played
2023-10-22vs Naylor's Run 10.5Lost 12
L#1 DoublesDennis Krijt / Aaron Palmer vs Andrew Porter / Ning Zhou4-6, 4-6
L#2 DoublesDavid Bethala / Kai Cao vs Danny Calise / Kevin Wong5-7, 7-6, 1-0
W#3 DoublesNhat Dang / Linh Nguyen vs Matthew Rowe / Yipin Wang6-2, 7-5
2023-10-07vs Upper DublinWon 21
W#1 DoublesSyed Nasir / Craig Miller vs Shuang Zhao / Sanjeev Midha6-2, 6-2
W#2 DoublesDavid Bethala / Dennis Krijt vs Venkat Ramamurthy / Joseph Booth6-4, 6-2
L#3 DoublesCharis Felton / Rameshkannan Arumugam vs Michael Foering / Gary Kao3-6, 2-6
2023-09-30vs GCCWon 30
W#1 DoublesPatrick Corn / Rajeev Rao vs Ben Eisen / Mark Hillman6-4, 7-5
W#2 DoublesStephen Penwell / Quang Nguyen vs Patrick Mulhern / Shawn Smith6-3, 6-1
W#3 DoublesCharis Felton / Nhat Dang vs Gregg Lemos-Stein / Geoffrey Long2-6, 6-4, 1-0
2023-09-24vs Hoffman ParkWon 21
L#1 DoublesAaron Palmer / Andy Chung vs Abhay Singh / Maxim Gilula7-6, 5-7, 1-0
W#2 DoublesStephen Penwell / ZHIPING QIU vs Greg Dona / William Bender7-6, 6-2
W#3 DoublesRameshkannan Arumugam / Charis Felton vs Gary Le / Rachid Salahdine6-1, 6-1
2023-09-16vs WCGCCWon 20
W#2 DoublesZHIPING QIU / Dennis Krijt vs David Himsworth / John Stacey6-0, 7-5
W#3 DoublesChaka Allen / Rameshkannan Arumugam vs Matthew Migliore / Jon Wingerd6-1, 6-2
2023-09-09vs ParksideWon 30
W#1 DoublesCraig Miller / Rajeev Rao vs Blake Rhood / Scott Kober6-4, 6-4
W#2 DoublesStephen Penwell / Dennis Krijt vs Ben Hurtig / Joe Picerno4-6, 6-0, 1-0
W#3 DoublesCharis Felton / Rameshkannan Arumugam vs Guy Grossman / Richard Moore4-6, 6-3, 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 standings7 teams · Men's Tri Level 3.0 to 4.0
TeamWLInd. WInd. LSets lostGames lost
1Hoffman Park6116512141
2UMLY Tri 4.05114411131
3Parkside5212921160
4WCGCC3361227174
5Naylor's Run 10.534101124197
6Upper Dublin0541124167
7Men of the Dam0521327167

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 11 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.

Craig Miller
usually #1 Doubles 100% · published 4.5
4.14
Patrick Corn
usually #1 Doubles 100% · published
3.79
Aaron Palmer
usually #1 Doubles 100% · published 4
3.79
Dennis Krijt
usually #2 Doubles 75%, also #1 Doubles 25% · published 4
3.75
Andy Chung
usually #1 Doubles 100% · published 4
3.69
Syed Nasir
usually #1 Doubles 100% · published
3.62
ZHIPING QIU
usually #2 Doubles 100% · published
3.58
Stephen Penwell
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.35
Charis Felton
usually #3 Doubles 100% · published 3.5
3.35
Nhat Dang
usually #3 Doubles 100% · published
3.27
David Bethala
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.21
Chaka Allen
usually #3 Doubles 100% · published 3.5
Kai Cao
usually #2 Doubles 100% · published
Linh Nguyen
usually #3 Doubles 100% · published
Quang Nguyen
usually #2 Doubles 100% · published
Rajeev Rao
usually #1 Doubles 100% · published
Rameshkannan Arumugam
usually #3 Doubles 100% · 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.

Stephen Penwell + Dennis Krijt6167% gamesnot enough data
Andy Chung + Aaron Palmer1539% gamesnot enough data
Rameshkannan Arumugam + Charis Felton3252% gamesnot enough data
Chaka Allen + David Bethala224 matchesnot enough data
Rameshkannan Arumugam + Linh Nguyen303 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.

4.5
Craig Miller
95W–19L career · 2 lines in 2023
not enough data
Patrick Corn
45W–30L career · 1 line in 2023
14%86%<1%
4.14
4
Aaron Palmer
107W–69L career · 2 lines in 2023
1%93%5%
3.79
4
Dennis Krijt
110W–79L career · 4 lines in 2023
1%93%5%
3.79
4
Andy Chung
66W–34L career · 1 line in 2023
3%95%3%
3.75
Syed Nasir
20W–14L career · 1 line in 2023
8%92%1%
3.69
ZHIPING QIU
32W–39L career · 2 lines in 2023
19%81%<1%
3.62
Stephen Penwell
92W–47L career · 5 lines in 2023
26%74%<1%
3.58
3.5
Charis Felton
37W–24L career · 4 lines in 2023
<1%88%12%
3.35
Nhat Dang
20W–7L career · 2 lines in 2023
<1%88%12%
3.35
3.5
David Bethala
79W–67L career · 4 lines in 2023
2%94%4%
3.27
3.5
Chaka Allen
65W–43L career · 1 line in 2023
5%94%1%
3.21
Kai Cao
38W–19L career · 1 line in 2023
not enough data
Linh Nguyen
45W–21L career · 1 line in 2023
not enough data
Quang Nguyen
60W–20L career · 1 line in 2023
not enough data
Rajeev Rao
39W–21L career · 2 lines in 2023
not enough data
Rameshkannan Arumugam
24W–11L career · 4 lines in 2023
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.