Teams

MSIL 7.5M Combo Castro - Champaign

2025 MSIL Fall Combo · East MSIL 7.5M Combo

14 players · average NTRP 3.69 / 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 →
Schedule5 played
2026-01-10vs MSIL 7.5M Combo Jo - ChampaignWon 20
W#1 DoublesLijian Zhang / Sendhil Kumaran vs Kim Junghyun / Jihwab Ryu6-3, 6-2
W#2 DoublesVinod Ramakrishnan / Nicholas LeVanti vs Yongkyu An / Eungkon Kim6-7, 7-5, 1-0
2025-11-02vs MSIL 7.5M Combo Jo - ChampaignWon 20
W#1 DoublesVinod Ramakrishnan / Lorenzo Vergari vs Zeno Jo / Jihwab Ryu6-7, 6-3, 1-0
W#3 DoublesSendhil Kumaran / Nicholas LeVanti vs Eungkon Kim / Jaemin Yang6-2, 6-3
2025-10-19vs MSIL 7.5M Combo Jo - ChampaignSplit 11
L#1 DoublesGeoffrey Lin / Lijian Zhang vs Lino Jo / Sung Min Moon3-6, 4-6
W#2 DoublesChristopher Kuehn / Charles Sikora vs Joe Settelmyer / Eungkon Kim7-6, 6-2
2025-10-05vs MSIL 7.5M Combo Jo - ChampaignWon 10
W#1 DoublesChristopher Kuehn / Christopher Sisson vs Yongkyu An / Jihwab Ryu6-2, 6-0
2025-09-21Won 10
W#1 DoublesChristopher Kuehn / Christopher Sisson vs Yongkyu An / Kim Junghyun6-1, 6-4
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 standings4 teams · East MSIL 7.5M Combo
TeamWLInd. WInd. LSets lostGames lost
1MSIL 7.5M Combo Team aka Chad1210273984639
2MSIL 7.5M Combo Spitalny - Peoria1012234393673
3MSIL 7.5M Combo Castro - Champaign5112615127
4MSIL 7.5M Combo Jo - Champaign1561225186

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 3.43 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.

3.76
Christopher Sisson
usually #1 Doubles 100% · published 4
3.70
Noel Castro
usually #1 Doubles 50%, also #2 Doubles 33% · published
3.61
Sendhil Kumaran
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.56
Christopher Kuehn
usually #2 Doubles 67%, also #1 Doubles 22% · published 4
3.46
Nicholas LeVanti
usually #2 Doubles 50%, also #3 Doubles 33% · published
3.40
Lorenzo Vergari
usually #1 Doubles 100% · published
3.39
Charles Sikora
usually #2 Doubles 100% · published 3.5
3.38
Andy Hur
usually #1 Doubles 40%, also #3 Doubles 40% · published 3.5
3.34
Lijian Zhang
usually #1 Doubles 100% · published 3.5
3.33
Patrick Hammie
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.25
Vinod Ramakrishnan
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.20
Andy Wilke
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
3.19
Geoffrey Lin
usually #1 Doubles 67%, also #3 Doubles 17% · 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.

Christopher Kuehn + Patrick Hammie6746% games−13.9% vs expected
Patrick Hammie + Charles Sikora0830% games−18.5% vs expected
Andy Wilke + Christopher Kuehn3442% gamesnot enough data
Lijian Zhang + Charles Sikora1631% gamesnot enough data
Christopher Kuehn + Noel Castro2453% gamesnot enough data
Christopher Kuehn + Charles Sikora4150% gamesnot enough data
Sendhil Kumaran + Lijian Zhang2345% gamesnot enough data
Christopher Kuehn + Christopher Sisson404 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
Christopher Sisson
44W–25L career · 2 lines in 2025
3%93%4%
3.76
Noel Castro
65W–41L career · 6 lines in 2025
7%91%2%
3.70
4
Sendhil Kumaran
40W–28L career · 2 lines in 2025
22%78%<1%
3.61
4
Christopher Kuehn
50W–53L career · 9 lines in 2025
33%67%<1%
3.56
Nicholas LeVanti
24W–38L career · 6 lines in 2025
<1%61%39%
3.46
Lorenzo Vergari
22W–20L career · 3 lines in 2025
<1%76%24%
3.40
3.5
Charles Sikora
41W–44L career · 1 line in 2025
<1%78%22%
3.39
3.5
Andy Hur
30W–30L career · 5 lines in 2025
<1%80%19%
3.38
3.5
Lijian Zhang
112W–59L career · 2 lines in 2025
1%86%13%
3.34
3.5
Patrick Hammie
37W–38L career · 6 lines in 2025
1%87%12%
3.33
Vinod Ramakrishnan
9W–19L career · 2 lines in 2025
4%93%3%
3.25
3.5
Andy Wilke
25W–34L career · 5 lines in 2025
8%91%2%
3.20
Geoffrey Lin
14W–15L career · 6 lines in 2025
9%89%1%
3.19
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.