Teams

Zhang - Les Ballers

2025 Montgomery Combo Fall · Montgomery Combo Fall 7.5 Men

12 players · average NTRP 4.00 / MARYLAND

View scouting list →
Schedule5 played
2025-12-04vs Chen - Grins and GigglesLost 01
L#3 DoublesVincent Wong / Ivan Kozliak vs Xiao Liu / Junyi Shi2-6, 3-6
2025-11-23vs Soh - Game ChangersWon 10
W#3 DoublesQiming He / Ivan Kozliak vs Young Seung Kim / Insung Kang7-5, 6-0
2025-11-08Lost 01
L#1 DoublesIvan Kozliak / Wei Huang vs Scott Miller / Michael Kessler3-6, 0-6
2025-10-10vs Soh - Game ChangersLost 01
L#1 DoublesIvan Kozliak / Robert Padavick vs Johnson Yoo / Jaeseong Lee0-6, 0-6
2025-10-04vs Wolf - Sultans of SwingWon 10
W#1 DoublesIvan Kozliak / Qiming He vs Wei-Chang Yang / Brian Krantz7-6, 5-2
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 standings for Montgomery Combo Fall 7.5 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 3.33 estimated across 10 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.

4.02
Steven Seitz
published
3.60
Ivan Kozliak
usually #1 Doubles 33%, also #2 Doubles 33% · published 4
3.52
Shubo Zhang
published
3.48
Qi Zhao
published
3.38
Jian Liu
published
3.27
Wei Huang
published
3.11
Jay Colella
published
3.10
Qiming He
published
2.98
Jim Zhang
published
2.83
Vincent Wong
published
Max Wang
published
Robert Padavick
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.

Jay Colella + Wei Huang1637% games−12.3% vs expected
Jay Colella + Jian Liu224 matchesnot enough data
Jay Colella + Qiming He224 matchesnot enough data
Shubo Zhang + Qi Zhao213 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.

Steven Seitz
8W–7L career · no lines in 2025
<1%45%55%
4.02
4
Ivan Kozliak
300W–286L career · 9 lines in 2025
25%75%<1%
3.60
Shubo Zhang
8W–8L career · no lines in 2025
46%54%<1%
3.52
Qi Zhao
19W–4L career · no lines in 2025
<1%55%45%
3.48
Jian Liu
5W–7L career · no lines in 2025
<1%80%20%
3.38
Wei Huang
11W–15L career · no lines in 2025
3%92%5%
3.27
Jay Colella
5W–15L career · no lines in 2025
21%79%<1%
3.11
Qiming He
5W–9L career · no lines in 2025
24%75%<1%
3.10
Jim Zhang
2W–15L career · no lines in 2025
56%44%<1%
2.98
Vincent Wong
0W–6L career · no lines in 2025
89%11%<1%
2.83
Max Wang
2W–0L career · no lines in 2025
not enough data
Robert Padavick
2W–11L career · no 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.