Teams

7.5M Winter Combo Castro-Champaign

2026 MSIL Winter Combo -MSIL West League · West MSIL 7.5M Combo

12 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 →
Schedule6 played
2026-05-10vs 7.5M Winter Combo An-ChampaignWon 20
W#2 DoublesLuis Felipe Hernandez / Nicholas LeVanti vs Zeno Jo / Eungkon Kim6-1, 6-2
W#3 DoublesSendhil Kumaran / Hans Dee vs N/A6-0, 6-0
2026-05-03vs 7.5M Winter Combo An-ChampaignLost 02
L#1 DoublesLuis Felipe Hernandez / Charles Sikora vs Chris Sarol / Yongkyu An3-6, 6-1, 0-1
L#2 DoublesSendhil Kumaran / Lijian Zhang vs Lino Jo / Andy Hur4-6, 5-7
2026-04-26vs 7.5M Winter Combo An-ChampaignWon 21
W#1 DoublesChristopher Sisson / Vinod Ramakrishnan vs Lino Jo / Zeno Jo6-4, 7-5
L#2 DoublesLuis Felipe Hernandez / Hans Dee vs Eungkon Kim / Joe Settelmyer4-6, 2-6
W#3 DoublesSendhil Kumaran / Andy Wilke vs Yongkyu An / Jaemin Yang6-0, 6-1
2026-04-12vs 7.5M Winter Combo An-ChampaignLost 12
L#1 DoublesChristopher Kuehn / Charles Sikora vs Kim Junghyun / Jihwab Ryu3-6, 7-6, 0-1
L#2 DoublesGaston Suardiaz / Nicholas LeVanti vs Chris Sarol / Yongkyu An4-6, 5-7
W#3 DoublesChristopher Sisson / Andy Wilke vs Andy Hur / Sung Min Moon6-3, 6-4
2026-03-08vs 7.5M Winter Combo An-ChampaignLost 01
L#1 DoublesChristopher Kuehn / Gaston Suardiaz vs Chris Sarol / Jihwab Ryu0-6, 1-6
2026-02-22vs 7.5M Winter Combo An-ChampaignSplit 11
L#1 DoublesGaston Suardiaz / Hans Dee vs Lino Jo / Sung Min Moon5-7, 0-6
W#3 DoublesSendhil Kumaran / Lijian Zhang vs Yongkyu An / Yoochan Shin6-3, 6-1
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 · West MSIL 7.5M Combo
TeamWLInd. WInd. LSets lostGames lost
17.5M Winter Combo An-Champaign4210818166
27.5M Winter Combo Castro-Champaign2481020159

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 12 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.

3.78
Noel Castro
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.76
Christopher Sisson
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.65
Sendhil Kumaran
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.56
Christopher Kuehn
usually #1 Doubles 100% · published 4
3.46
Nicholas LeVanti
usually #2 Doubles 60%, also #1 Doubles 40% · published
3.44
Luis Felipe Hernandez
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.43
Charles Sikora
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.34
Lijian Zhang
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.31
Vinod Ramakrishnan
usually #1 Doubles 40%, also #3 Doubles 40% · published
3.24
Gaston Suardiaz
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.20
Andy Wilke
usually #3 Doubles 50%, also #2 Doubles 33% · published 3.5
3.03
Hans Dee
usually #1 Doubles 60%, also #2 Doubles 20% · published 3.5
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 + Noel Castro2453% games+6.5% vs expected
Andy Wilke + Christopher Kuehn3442% gamesnot enough data
Christopher Kuehn + Charles Sikora4150% gamesnot enough data
Sendhil Kumaran + Lijian Zhang2345% gamesnot enough data
Christopher Kuehn + Christopher Sisson404 matchesnot enough data
Andy Wilke + Sendhil Kumaran303 matchesnot enough data
Lijian Zhang + Charles Sikora123 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.

Noel Castro
66W–43L career · 4 lines in 2026
2%94%4%
3.78
4
Christopher Sisson
44W–25L career · 2 lines in 2026
2%94%3%
3.76
4
Sendhil Kumaran
40W–28L career · 4 lines in 2026
12%88%<1%
3.65
4
Christopher Kuehn
51W–48L career · 2 lines in 2026
32%68%<1%
3.56
Nicholas LeVanti
24W–36L career · 5 lines in 2026
<1%63%37%
3.46
Luis Felipe Hernandez
17W–8L career · 3 lines in 2026
68%32%<1%
3.44
3.5
Charles Sikora
42W–47L career · 5 lines in 2026
<1%71%29%
3.43
3.5
Lijian Zhang
112W–59L career · 2 lines in 2026
<1%88%11%
3.34
Vinod Ramakrishnan
9W–19L career · 5 lines in 2026
1%92%7%
3.31
3.5
Gaston Suardiaz
12W–20L career · 3 lines in 2026
3%95%2%
3.24
3.5
Andy Wilke
26W–35L career · 6 lines in 2026
6%93%1%
3.20
3.5
Hans Dee
28W–33L career · 5 lines in 2026
42%58%<1%
3.03

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.