Teams

MSIL Men's Tri-Level 3.0/3.5/4.0 Cheung-Champaign

2026 MSIL Tri-Level · MSIL 4.0M Tri-Level

14 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 DoublesAngad Mehta / Chris Sarol vs Noel Castro / Elijah Leffelman6-2, 6-0
W#2 DoublesLijian Zhang / Charles Sikora vs Slava Cazacu / Yongkyu An6-4, 6-3
W#3 DoublesChristian Sarol / Sung Min Moon vs Jay Rafi / Travis Davis6-3, 6-3
W#1 DoublesLuis Felipe Hernandez / Lijian Zhang vs Christopher Kuehn / Elijah Leffelman4-6, 6-1, 1-0
W#2 DoublesAlden Cheng / Charles Sikora vs Yannick Kluch / Hans Dee6-2, 6-2
L#3 DoublesChristian Sarol / Carl Guo vs Travis Davis / Dantzler Smith7-6, 4-6, 1-0
W#1 DoublesLuis Felipe Hernandez / Christopher Sisson vs Noel Castro / Elijah Leffelman7-5, 4-6, 1-0
W#2 DoublesBen Lee / Arthur de Oliveira Lima vs Slava Cazacu / Yannick Kluch6-1, 2-6, 1-0
W#3 DoublesCarl Guo / Alden Cheng vs Travis Davis / Alberto Albejjani6-3, 6-3
W#1 DoublesLuis Felipe Hernandez / Christopher Sisson vs Yongkyu An / Elijah Leffelman6-3, 6-3
W#2 DoublesBen Lee / Eric Kuo vs Jay Rafi / Dantzler Smith6-0, 6-0
W#3 DoublesCarl Guo / Alden Cheng vs Alberto Albejjani / Aviral Halsi6-0, 6-0
W#1 DoublesAngad Mehta / Chris Sarol vs Noel Castro / Christopher Kuehn7-6, 7-5
W#2 DoublesCharles Sikora / Arthur de Oliveira Lima vs Aviral Halsi / Slava Cazacu6-2, 6-0
W#3 DoublesSung Min Moon / Christian Sarol vs Jay Rafi / Dantzler Smith6-4, 6-3
W#1 DoublesJohn Delanois / Angad Mehta vs Hans Dee / Noel Castro6-0, 6-2
W#2 DoublesEric Kuo / Charles Sikora vs Slava Cazacu / Aviral Halsi6-0, 6-3
W#3 DoublesSung Min Moon / Christian Sarol vs Jay Rafi / Dantzler Smith6-2, 7-6
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 standings2 teams · MSIL 4.0M Tri-Level
TeamWLInd. WInd. LSets lostGames lost
1MSIL Men's Tri-Level 3.0/3.5/4.0 Cheung-Champaign601715101
2MSIL Men's Tri-Level 3.0/3.5/4.0 Castro-Champaign0611735215

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 3.33 estimated across 13 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.

3.88
Chris Sarol
usually #1 Doubles 100% · published 4
3.76
Christopher Sisson
usually #1 Doubles 100% · published 4
3.56
Angad Mehta
usually #1 Doubles 100% · published 4
3.53
Eric Kuo
usually #2 Doubles 100% · published
3.43
Luis Felipe Hernandez
usually #1 Doubles 100% · published
3.39
Charles Sikora
usually #2 Doubles 100% · published 3.5
3.38
Ben Lee
usually #2 Doubles 100% · published 3.5
3.34
Lijian Zhang
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.28
Arthur de Oliveira Lima
usually #2 Doubles 100% · published 3.5
3.13
Alden Cheng
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
3.06
Sung Min Moon
usually #3 Doubles 100% · published
2.82
Carl Guo
usually #3 Doubles 100% · published 3
2.77
Christian Sarol
usually #3 Doubles 100% · published 3
John Delanois
usually #1 Doubles 100% · 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.

Lijian Zhang + Charles Sikora1631% gamesnot enough data
Carl Guo + Sung Min Moon2343% gamesnot enough data
Ben Lee + Lijian Zhang404 matchesnot enough data
Lijian Zhang + Angad Mehta224 matchesnot enough data
Angad Mehta + Sung Min Moon404 matchesnot enough data
Sung Min Moon + Christian Sarol314 matchesnot enough data
Chris Sarol + Christopher Sisson123 matchesnot enough data
Chris Sarol + Christian Sarol213 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
Chris Sarol
109W–28L career · 2 lines in 2026
<1%81%19%
3.88
4
Christopher Sisson
44W–25L career · 2 lines in 2026
3%93%4%
3.76
4
Angad Mehta
53W–18L career · 3 lines in 2026
33%67%<1%
3.56
Eric Kuo
24W–3L career · 2 lines in 2026
<1%42%58%
3.53
Luis Felipe Hernandez
17W–8L career · 3 lines in 2026
69%31%<1%
3.43
3.5
Charles Sikora
41W–44L career · 4 lines in 2026
<1%78%22%
3.39
3.5
Ben Lee
7W–4L career · 2 lines in 2026
<1%81%19%
3.38
3.5
Lijian Zhang
112W–59L career · 2 lines in 2026
1%86%13%
3.34
3.5
Arthur de Oliveira Lima
14W–5L career · 2 lines in 2026
2%92%6%
3.28
3
Alden Cheng
14W–0L career · type S · 3 lines in 2026
<1%17%83%
3.13
Sung Min Moon
41W–21L career · 3 lines in 2026
<1%35%65%
3.06
3
Carl Guo
22W–25L career · 3 lines in 2026
1%89%10%
2.82
3
Christian Sarol
16W–12L career · 4 lines in 2026
3%92%5%
2.77
John Delanois
30W–19L career · 1 line 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.