Teams

1FAC-CHEN 3.5M TEAM SINGLES FALL SEM F2

2023 SEM FALL TEAM SINGLES · MEN 3.5 SINGLES SEM

8 players · average NTRP 3.50 / S.E. MICHIGAN

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 →
Schedule8 played
W#1 SinglesLihua Chen vs Richard Duffy6-2, 6-0
L#2 SinglesEdward Liu vs Ranadeb Chaudhuri2-6, 1-6
W#3 SinglesChaodong Gong vs Jacob Kleve7-6, 3-2
L#1 SinglesAIWU Wu vs Bill Casey6-1, 5-4
L#2 SinglesYun Chen vs Taek Kim6-4, 5-4
L#3 SinglesQijun Zhang vs Michael Fleischer1-6, 6-1
W#1 SinglesHenry Pu vs Juyong Hwang6-1, 6-1
L#2 SinglesEdward Liu vs Joseph Stutz2-6, 3-6
L#3 SinglesYun Chen vs Ramon Martinez4-6, 1-2
L#1 SinglesAIWU Wu vs Justin Kennard1-6, 3-5
W#2 SinglesEdward Liu vs Manuel Alejo4-6, 1-2
L#3 SinglesChaodong Gong vs Patrick Stevic2-6, 1-6
W#1 SinglesLihua Chen vs Brett Thompson6-4, 5-7, 1-0
W#2 SinglesHenry Pu vs Karson Claussen6-1, 6-0
W#1 SinglesLihua Chen vs Aniket Wankhede6-2, 5-2
L#2 SinglesChaodong Gong vs Vimal Saigal2-6, 2-6
L#1 SinglesHenry Pu vs Joseph Stutz5-7, 0-1
W#2 SinglesLihua Chen vs Joe Senac7-5, 3-4
L#3 SinglesChaodong Gong vs Yongtak Cho3-6, 1-5
W#1 SinglesLihua Chen vs Manuel Alejo6-1, 6-1
L#2 SinglesZhangjun Tang vs Sean Granger5-7, 2-6
L#3 SinglesChaodong Gong vs Nikolaos Maragkos2-6, 4-4
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 standings9 teams · MEN 3.5 SINGLES SEM
TeamWLInd. WInd. LSets lostGames lost
14FAC-ROSS 3.5M TEAM SINGLES FALL SEM F18122513155
26EAST-GRANGER 3.5M TEAM SINGLES FALL SEM F27119511139
34LIFE-MARAZZA 3.5M TEAM SINGLES FALL SEM F27115916155
41CHIP-LOUTTS 3.5M TEAM SINGLES FALL SEM F145101737245
53SCWB-GAY 3.5M TEAM SINGLES FALL SEM F235101432218
63FAC-CROUSON 3.5M TEAM SINGLES FALL SEM F13691834244
71FAC-CHEN 3.5M TEAM SINGLES FALL SEM F226101426188
82LIB-WYNN 3.5M TEAM SINGLES FALL SEM F127101731237
92WESS-CHAUDHURI 3.5M TEAM SINGLES FALL SEM F21761836234

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 3.05 estimated across 4 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.

Henry Pu
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.39
AIWU Wu
usually #1 Singles 100% · published 3.5
3.15
Qijun Zhang
usually #3 Singles 100% · published
2.88
Zhangjun Tang
usually #2 Singles 100% · published
2.76
Edward Liu
usually #2 Singles 100% · published 3
Chaodong Gong
usually #3 Singles 80%, also #2 Singles 20% · published
Lihua Chen
usually #1 Singles 80%, also #2 Singles 20% · published
Yun Chen
usually #2 Singles 50%, also #3 Singles 50% · 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.

Lihua Chen + AIWU Wu213 matchesnot enough data
Edward Liu + Qijun Zhang033 matchesnot enough data
Zhangjun Tang + Qijun Zhang033 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
Henry Pu
63W–21L career · 3 lines in 2023
not enough data
3.5
AIWU Wu
12W–13L career · 2 lines in 2023
<1%80%20%
3.39
Qijun Zhang
10W–25L career · 1 line in 2023
12%88%<1%
3.15
Zhangjun Tang
10W–23L career · 1 line in 2023
81%19%<1%
2.88
3
Edward Liu
2W–30L career · 3 lines in 2023
2%94%3%
2.76
Chaodong Gong
1W–10L career · 5 lines in 2023
not enough data
Lihua Chen
34W–30L career · 5 lines in 2023
not enough data
Yun Chen
16W–18L career · 2 lines in 2023
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.