Teams

Naylors Run Park

Adult 18 & Over · 4.0 Men

19 players · average NTRP 4.00 / PHILADELPHIA

View scouting list →
Schedule8 played
2026-06-30vs Great Valley 4.0Lost 23
L#1 DoublesScott Kober / Hefei Liu vs Narayanan Iyer / Long Nguyen3-6, 7-5, 0-1
L#1 SinglesAllen Cheung vs Owen Graver6-4, 4-6, 0-1
W#2 DoublesMohammed Nayeemulla / Christopher Mathews vs Ivan Khudziakou / Lee Sullivan6-1, 7-5
W#2 SinglesDanny Calise vs Jeff Lipschutz6-2, 2-6, 1-0
L#3 DoublesChristopher Sterman / Sascha Kristian vs Khang Nguyen / Paolo Quimbo3-6, 6-1, 0-1
2026-06-28vs West Chester WarriorsWon 50
W#1 DoublesScott Kober / Mohammed Nayeemulla vs Praburaj Thangaraj / Augusto Francisco6-3, 6-2
W#1 SinglesChristopher Mathews vs ZHIPING QIU6-2, 6-2
W#2 DoublesChristopher Sterman / John Aris vs Vishwa Pinumalla / Venkata Puvvadi7-6, 7-6
W#2 SinglesJordan Poznick vs Christopher Jones6-4, 6-4
W#3 DoublesRussell Chamberlin / Jonathan Lu vs Anand Natrajan / Satish Shanmugam3-6, 6-1, 1-0
2026-06-26vs UMLY United 4.0Won 30
W#1 DoublesJohn Aris / Jordan Poznick vs Yasuhiko Watanabe / Jonathan Levine7-6, 6-0
W#1 SinglesDanny Calise vs Dennis Krijt2-6, 6-2, 1-0
W#2 DoublesMohammed Nayeemulla / Russell Chamberlin vs Rajeev Rao / Rohit Gandrakota7-6, 6-4
2026-06-13vs West Chester WarriorsWon 41
W#1 DoublesMohammed Nayeemulla / Christopher Mathews vs Greg Stenz / Justin DePietropaolo7-5, 6-1
W#1 SinglesAllen Cheung vs Anand Natrajan6-1, 6-0
L#2 DoublesScott Kober / Sascha Kristian vs Venkata Puvvadi / Deepak Rajendran6-4, 3-6, 0-1
W#2 SinglesDanny Calise vs Brett Wells6-4, 7-5
W#3 DoublesChristopher Balicki / Michael Ng vs Praburaj Thangaraj / Edward Bouscaren6-4, 6-0
2026-06-06vs ServezasWon 30
W#1 DoublesChristopher Mathews / John Aris vs Alexander Zahradnicek / Kyle Butler6-1, 6-3
W#2 DoublesJordan Poznick / Michael Ng vs Rogier Doekes / Chetan Sharma6-2, 6-1
W#2 SinglesAdam Lee vs Sujith Mathew6-0, 6-0
2026-05-16vs Great Valley 4.0Lost 14
L#1 DoublesScott Kober / Sascha Kristian vs Khang Nguyen / Roberto Calderon6-1, 3-6, 0-1
L#1 SinglesHefei Liu vs Owen Graver7-6, 4-6, 0-1
L#2 DoublesJordan Poznick / Jonathan Lu vs Narayanan Iyer / Vikram Dayalu2-6, 0-6
W#2 SinglesAdam Lee vs Andrew Lam6-2, 0-6, 1-0
L#3 DoublesJohn Aris / Lakota Kruse vs Lee Sullivan / Keith Gorman6-7, 4-6
2026-05-02vs UMLY United 4.0Won 50
W#1 DoublesScott Kober / Christopher Mathews vs Andy Chung / Rohit Gandrakota5-7, 7-6, 1-0
W#1 SinglesDanny Calise vs Dennis Krijt6-3, 6-2
W#2 DoublesChristopher Sterman / Sascha Kristian vs Rajeev Rao / Gursharan Kang6-2, 6-1
W#2 SinglesHefei Liu vs Jonathan Levine7-5, 6-1
W#3 DoublesRussell Chamberlin / Jordan Poznick vs David Bethala / Thad Gelsinger6-4, 6-0
2026-04-18vs ServezasWon 40
W#1 DoublesMohammed Nayeemulla / John Obando vs William Bjorksten / Louis Foppiano6-4, 6-3
W#1 SinglesAllen Cheung vs Cole Reese6-1, 6-1
W#2 DoublesScott Kober / Lakota Kruse vs Rogier Doekes / Kyle Butler6-0, 6-3
W#2 SinglesChristopher Mathews vs Sujith Mathew6-2, 6-2
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 standings12 teams · 4.0 Men
TeamWLInd. WInd. LSets lostGames lost
1Parkside06151533265
2UMLY United 4.00632754332
3Servezas0612959356
4Philly Phighters07191638327
5Reload and Fire0833717231
6Great Valley 4.00833720266
7Naylors Run Park0832821244
8Frosty Hollow Hurricanes08241640320
9West Chester Warriors08211944349
10GameSet0833775464
11The Cynwyd Clubbers 4.00833776456
12Legacy Legends09331238370

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 3.88 estimated across 16 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.

4.11
Christopher Sterman
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
4.00
Allen Cheung
usually #1 Singles 80%, also #3 Doubles 20% · published 4
3.99
John Aris
usually #1 Doubles 50%, also #2 Doubles 25% · published
3.98
Christopher Mathews
usually #1 Doubles 50%, also #2 Singles 17% · published 4
3.92
Lakota Kruse
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.88
Jonathan Lu
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.87
Sascha Kristian
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.85
Hefei Liu
usually #2 Singles 33%, also #1 Doubles 33% · published
3.84
Jordan Poznick
usually #2 Doubles 40%, also #3 Doubles 20% · published
3.83
Mohammed Nayeemulla
usually #1 Doubles 60%, also #2 Doubles 40% · published
3.83
Danny Calise
usually #2 Singles 50%, also #1 Singles 50% · published 4
3.83
Scott Kober
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.82
David Littell
published 4
3.78
Michael Ng
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.78
Russell Chamberlin
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
Adam Lee
usually #2 Singles 100% · published 4
Christopher Balicki
usually #3 Doubles 100% · published 4
3.73
John Obando
usually #1 Doubles 100% · published
Nathan Carl
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.

Mohammed Nayeemulla + Scott Kober7076% games+12.4% vs expected
Michael Ng + Christopher Balicki4251% games+9.8% vs expected
John Aris + Mohammed Nayeemulla5061% games+1.3% vs expected
Scott Kober + Sascha Kristian2453% games−4.2% vs expected
Mohammed Nayeemulla + Russell Chamberlin3354% gamesnot enough data
John Aris + Sascha Kristian4162% gamesnot enough data
Lakota Kruse + John Aris134 matchesnot enough data
Christopher Sterman + Russell Chamberlin404 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
Christopher Sterman
89W–33L career · 3 lines in 2026
<1%21%79%
4.11
4
Allen Cheung
61W–71L career · 5 lines in 2026
<1%49%51%
4.00
John Aris
36W–11L career · 4 lines in 2026
<1%54%46%
3.99
4
Christopher Mathews
6W–0L career · type S · 6 lines in 2026
<1%57%43%
3.98
Lakota Kruse
14W–25L career · 2 lines in 2026
<1%72%27%
3.92
Jonathan Lu
68W–26L career · 3 lines in 2026
<1%80%20%
3.88
Sascha Kristian
29W–7L career · 4 lines in 2026
<1%83%17%
3.87
Hefei Liu
24W–4L career · 3 lines in 2026
1%85%14%
3.85
Jordan Poznick
4W–1L career · 5 lines in 2026
1%86%13%
3.84
Mohammed Nayeemulla
89W–27L career · 5 lines in 2026
1%87%12%
3.83
4
Danny Calise
21W–1L career · 4 lines in 2026
1%88%11%
3.83
4
Scott Kober
119W–50L career · 6 lines in 2026
1%88%11%
3.83
4
David Littell
16W–15L career · no lines in 2026
1%89%10%
3.82
Michael Ng
34W–10L career · 2 lines in 2026
2%92%6%
3.78
4
Russell Chamberlin
209W–118L career · 3 lines in 2026
2%92%6%
3.78
4
Adam Lee
4W–0L career · 2 lines in 2026
not enough data
4
Christopher Balicki
5W–3L career · 1 line in 2026
not enough data
John Obando
39W–6L career · 1 line in 2026
5%92%3%
3.73
Nathan Carl
2W–5L career · no lines in 2026
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.