Teams

Chen

2026 Montgomery Singles · Montgomery Singles 4.0 Men

6 players · average NTRP 3.50 / MARYLAND

View scouting list →
Schedule2 played
L#2 SinglesFengji Zhang vs Scott Mennealy4-6, 2-6
L#3 SinglesChungfu Yang vs Scott Aronson3-6, 2-6
2026-08-10vs Jeon - ReStringLost 01
L#2 SinglesChungfu Yang vs Tucker Howard2-6, 5-7
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 standings5 teams · Montgomery Singles 4.0 Men
TeamWLInd. WInd. LSets lostGames lost
1Randle - RUTHLESS Racket6218615168
2Chen43111024192
3Iancu - Single Shots327816144
4Kim - RPM3310817148
5LIANG - Just For Fun0621632206

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 3.53 estimated across 5 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.

3.83
Hanlun Song
usually #3 Singles 50%, also #1 Singles 50% · published 3.5
3.60
Fengji Zhang
usually #2 Singles 100% · published 3.5
3.56
Chungfu Yang
usually #2 Singles 50%, also #3 Singles 50% · published 3.5
3.37
Mofei Chen
usually #1 Singles 100% · published 3.5
3.31
Zhuo Yang
usually #1 Singles 71%, also #3 Singles 29% · published
Zeyu Zhang
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.

Hanlun Song + Mofei Chen5068% gamesnot 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.

3.5
Hanlun Song
159W–45L career · 2 lines in 2026
<1%1%99%
3.83
3.5
Fengji Zhang
41W–28L career · 1 line in 2026
<1%23%77%
3.60
3.5
Chungfu Yang
13W–5L career · 2 lines in 2026
<1%33%67%
3.56
3.5
Mofei Chen
31W–32L career · 2 lines in 2026
<1%82%17%
3.37
Zhuo Yang
6W–5L career · 7 lines in 2026
1%90%9%
3.31
Zeyu Zhang
6W–0L 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.