Teams

MSIL 4.0M Tri-Level Cheung-Champaign

2025 MSIL Tri-Level · MSIL 4.0M Tri-Level

9 players · average NTRP 3.50 / MID-SOUTH ILLINOIS

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 →
Schedule6 played
W#1 DoublesKai Wang / Sendhil Kumaran vs Lino Jo / Christopher Sisson6-1, 1-6, 1-0
L#2 DoublesLijian Zhang / Sangwon Park vs Yannick Kluch / Lorenzo Vergari2-6, 3-6
L#3 DoublesCarl Guo / Sung Min Moon vs Travis Davis / Dantzler Smith0-6, 6-3, 0-1
L#1 DoublesKai Wang / Sendhil Kumaran vs Aaron Rapp / Sean Miller2-6, 2-6
L#2 DoublesLijian Zhang / Angad Mehta vs Joseph McCarron / Brett Henneberg4-6, 2-6
L#1 DoublesKai Wang / Sendhil Kumaran vs Sean Miller / Aaron Rapp4-6, 1-6
L#2 DoublesLijian Zhang / Angad Mehta vs John Delanois / Todd Kettering5-7, 1-6
L#3 DoublesAdam Betz / Sung Min Moon vs Nathaniel Neal / Aaron Roemer6-0, 4-6, 0-1
L#1 DoublesSendhil Kumaran / Kai Wang vs Noel Castro / David Diep0-6, 4-6
L#2 DoublesLijian Zhang / Jack Wang vs Ignacio Arretche / Christopher Sisson4-6, 1-6
W#3 DoublesCarl Guo / Sung Min Moon vs Yannick Kluch / Jay Rafi3-6, 6-3, 1-0
L#1 DoublesSendhil Kumaran / Kai Wang vs Noel Castro / David Diep0-6, 0-6
L#3 DoublesCarl Guo / Sung Min Moon vs Yannick Kluch / Dantzler Smith3-6, 4-6
L#1 DoublesSendhil Kumaran / Kai Wang vs Timothy Latronico / Christopher Mecherle0-6, 1-6
W#3 DoublesCarl Guo / Sung Min Moon vs Aaron Roemer / Mehdi Lahjouji4-6, 6-4, 1-0
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 standings3 teams · MSIL 4.0M Tri-Level
TeamWLInd. WInd. LSets lostGames lost
1MSIL 4.0M Tri-Level Black Dragon Tennis Society4212614132
2MSIL 4.0M Tri-Level Castro-Champaign4211719155
3MSIL 4.0M Tri-Level Cheung-Champaign1541431195

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 3.28 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.

3.61
Sendhil Kumaran
usually #1 Doubles 100% · published 4
3.56
Angad Mehta
usually #2 Doubles 100% · published 4
3.34
Lijian Zhang
usually #2 Doubles 100% · published 3.5
3.06
Sung Min Moon
usually #3 Doubles 100% · published
2.82
Carl Guo
usually #3 Doubles 100% · published 3
Adam Betz
usually #3 Doubles 100% · published 3
Jack Wang
published
Kai Wang
published
Sangwon Park
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.

Carl Guo + Sung Min Moon2343% gamesnot enough data
Sendhil Kumaran + Lijian Zhang2345% gamesnot enough data
Kai Wang + Lijian Zhang2337% gamesnot enough data
Lijian Zhang + Angad Mehta224 matchesnot enough data
Lijian Zhang + Jack Wang224 matchesnot enough data
Angad Mehta + Sung Min Moon404 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
Sendhil Kumaran
40W–28L career · 6 lines in 2025
22%78%<1%
3.61
4
Angad Mehta
53W–18L career · 4 lines in 2025
33%67%<1%
3.56
3.5
Lijian Zhang
112W–59L career · 4 lines in 2025
1%86%13%
3.34
Sung Min Moon
41W–21L career · 5 lines in 2025
<1%35%65%
3.06
3
Carl Guo
22W–25L career · 4 lines in 2025
1%89%10%
2.82
3
Adam Betz
2W–1L career · 1 line in 2025
not enough data
Jack Wang
3W–7L career · no lines in 2025
not enough data
Kai Wang
35W–23L career · no lines in 2025
not enough data
Sangwon Park
12W–0L 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.