Teams

McKinney/Patel-Van Ham M4.0

2025 DALLAS TENNIS 18 & Over ADULT S · S M. League

21 players · average NTRP 4.07 / 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 →
Schedule3 played
2025-06-28vs Samuell Grand/Watson M4.0Won 32
L#1 DoublesBhu Singh / Ross Johnson vs Ryan Hopkins / Diego Montoya2-6, 5-7
W#1 SinglesMatt Doxtator vs Jeffrey Watson6-2, 4-6, 1-0
W#2 DoublesMILES MURPHY / Dennis van Ham vs Trae Watlington / Daniel Stone Garcia3-6, 6-3, 1-0
W#2 SinglesJacob Shelver vs Jonathan Goonan6-4, 3-6, 1-0
L#3 DoublesGuilherme Portela / Christopher Mendiola vs Austin Yun / Ian Lee2-6, 3-6
2025-05-17vs MacArthur HS/Shrivastava M4.0Split 22
L#1 DoublesSaket Raizada / Koushik Venkatasubramanian vs Parag Gupta / RAMESH SUBRAMANIAN6-7, 5-7
W#2 DoublesWilliam Manhkong / Charles Rosen vs Jomon Nadukkudiyil / Ashokkumar Nanjappan6-3, 6-1
L#2 SinglesJacob Garcia vs Guru Bala4-6, 2-6
W#3 DoublesDan Floyd / Ramachandran Viswanathan vs Venu Vustipalli / Raj Movva7-6, 6-4
2025-04-12vs Canyon Creek/Robins M4.0Lost 13
L#1 DoublesRoss Johnson / Ramachandran Viswanathan vs Daniel Robbins / Joel Huff3-6, 2-6
W#1 SinglesMILES MURPHY vs MAKOTO YASUDA6-2, 6-4
L#2 SinglesJacob Shelver vs Andrew Sumarsono3-6, 3-6
L#3 DoublesBarry Nickerson / Shawn Hamilton vs Jacob Davenport / Ben Henke2-6, 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 standings for S M. League 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 3.79 estimated across 15 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.

4.08
Dani Adnan
published 4
4.05
William Manhkong
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.90
Dennis van Ham
usually #3 Doubles 50%, also #1 Doubles 25% · published 4.5
3.83
Bhu Singh
usually #1 Doubles 100% · published 4
3.82
Matt Doxtator
usually #1 Singles 100% · published
3.80
Jacob Shelver
usually #2 Singles 100% · published
3.79
Saurin Patel
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.75
Charles Rosen
usually #2 Doubles 100% · published 4
3.75
Dan Floyd
usually #3 Doubles 100% · published 4
Christopher Mendiola
usually #3 Doubles 100% · published 4
3.72
Jake Muller
published
3.71
Koushik Venkatasubramanian
usually #1 Doubles 100% · published
3.70
Saket Raizada
usually #1 Doubles 100% · published
3.69
Barry Nickerson
usually #3 Doubles 100% · published 4
3.68
Ramachandran Viswanathan
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.58
Shawn Hamilton
usually #3 Doubles 100% · published
Guilherme Portela
usually #3 Doubles 100% · published
Jacob Garcia
usually #2 Singles 100% · published
James DeGuenther
usually #2 Doubles 50%, also #1 Singles 50% · published
MILES MURPHY
usually #2 Doubles 50%, also #1 Singles 50% · published
Ross Johnson
usually #1 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.

Barry Nickerson + Shawn Hamilton9551% games+6.9% vs expected
Ramachandran Viswanathan + Koushik Venkatasubramanian3447% gamesnot enough data
Saket Raizada + Koushik Venkatasubramanian3257% gamesnot enough data
Charles Rosen + Saurin Patel303 matchesnot enough data
Guilherme Portela + Bhu Singh123 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
Dani Adnan
11W–4L career · no lines in 2025
<1%29%71%
4.08
William Manhkong
17W–7L career · 2 lines in 2025
35%65%<1%
4.05
4.5
Dennis van Ham
12W–7L career · 4 lines in 2025
75%25%<1%
3.90
4
Bhu Singh
18W–10L career · 1 line in 2025
1%87%12%
3.83
Matt Doxtator
5W–1L career · 1 line in 2025
1%89%10%
3.82
Jacob Shelver
5W–5L career · 2 lines in 2025
2%91%7%
3.80
Saurin Patel
12W–3L career · 2 lines in 2025
2%91%7%
3.79
4
Charles Rosen
12W–2L career · 1 line in 2025
4%93%4%
3.75
4
Dan Floyd
6W–4L career · 1 line in 2025
4%93%4%
3.75
4
Christopher Mendiola
0W–1L career · 1 line in 2025
not enough data
Jake Muller
3W–5L career · no lines in 2025
6%92%2%
3.72
Koushik Venkatasubramanian
7W–9L career · 1 line in 2025
7%91%2%
3.71
Saket Raizada
7W–10L career · 1 line in 2025
7%91%2%
3.70
4
Barry Nickerson
15W–11L career · 1 line in 2025
8%90%1%
3.69
Ramachandran Viswanathan
5W–8L career · 2 lines in 2025
9%89%1%
3.68
Shawn Hamilton
9W–8L career · 1 line in 2025
28%72%<1%
3.58
Guilherme Portela
12W–5L career · 1 line in 2025
not enough data
Jacob Garcia
3W–7L career · 1 line in 2025
not enough data
James DeGuenther
9W–9L career · 2 lines in 2025
not enough data
MILES MURPHY
10W–3L career · 2 lines in 2025
not enough data
Ross Johnson
3W–6L career · 2 lines 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.