Teams

LifeTime Plano/Cox-Llambias M3.5

2025 DALLAS TENNIS 40 & Over ADULT M Saturday · M3.5

14 players · average NTRP 3.67 / TEXAS

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 →
Schedule2 played
2025-03-29vs RGAC/Adams M3.5Won 20
W#1 DoublesAlvin Wong / Timothy Pringle vs Brian Jones / Vance Miller6-1, 6-2
W#1 SinglesToufiqur Rahman vs Diego Guerrero3-6, 6-4, 1-0
2025-02-22vs McKinney/Fylling-Fletcher M3.5Won 10
W#3 DoublesMichael Egan / Gary Doyle vs Steven LoGalbo / Vivek Tiku6-2, 6-4
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 M3.5 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 3.52 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.

3.87
Taewoong Youn
usually #3 Doubles 100% · published
3.68
Aswin Muthukumar
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.65
Sagar Gosavi
usually #1 Singles 100% · published
3.62
Aki Otsuki
usually #2 Doubles 100% · published 4
3.53
Alvin Wong
usually #1 Doubles 100% · published 3.5
3.51
Suhail Nair
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.50
JaeHun Jung
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.39
Gary Doyle
usually #3 Doubles 100% · published 3.5
3.37
Brian Sarche
usually #2 Doubles 100% · published 3.5
3.34
Juan Llambias
usually #3 Doubles 100% · published
3.25
Bhaskar Sarkar
published 3.5
Michael Egan
usually #3 Doubles 100% · published
Timothy Pringle
usually #1 Doubles 100% · published
Toufiqur Rahman
usually #1 Singles 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.

JaeHun Jung + Taewoong Youn6258% games+10.2% vs expected
Aki Otsuki + Aswin Muthukumar303 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.

Taewoong Youn
8W–2L career · 2 lines in 2025
<1%83%17%
3.87
4
Aswin Muthukumar
13W–5L career · 3 lines in 2025
9%89%1%
3.68
Sagar Gosavi
18W–3L career · 2 lines in 2025
<1%14%86%
3.65
4
Aki Otsuki
10W–9L career · 2 lines in 2025
19%81%<1%
3.62
3.5
Alvin Wong
29W–6L career · 1 line in 2025
<1%42%58%
3.53
Suhail Nair
13W–7L career · 2 lines in 2025
<1%47%53%
3.51
JaeHun Jung
14W–3L career · 2 lines in 2025
51%49%<1%
3.50
3.5
Gary Doyle
24W–12L career · 1 line in 2025
<1%79%21%
3.39
3.5
Brian Sarche
12W–25L career · 1 line in 2025
<1%83%17%
3.37
Juan Llambias
14W–7L career · 2 lines in 2025
1%86%13%
3.34
3.5
Bhaskar Sarkar
7W–9L career · no lines in 2025
4%93%3%
3.25
Michael Egan
8W–2L career · 1 line in 2025
not enough data
Timothy Pringle
3W–0L career · 1 line in 2025
not enough data
Toufiqur Rahman
3W–1L career · 1 line in 2025
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.