Teams

6.5M Winter Combo Castro-Champaign

2026 MSIL Winter Combo -MSIL West League · West MSIL 6.5M Combo

14 players · average NTRP 3.30 / 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 DoublesGawon Lee / Chris Sarol vs Cristhian Molina / Christopher Stewart6-3, 6-2
W#3 DoublesVinod Ramakrishnan / Jose Andino vs THOMAS WILSON / Yutao Zhou6-4, 6-4
2026-04-26vs 6.5M Winter Combo Smith-ChampaignWon 20
W#2 DoublesChris Sarol / Gawon Lee vs Geoffrey Lin / Hyegi Min6-2, 6-3
W#3 DoublesCharles Sikora / Christian Sarol vs Eduard Kirr / Dantzler Smith6-3, 6-4
W#3 DoublesJose Andino / Christian Sarol vs Yutao Zhou / Aasheesh Randeo6-3, 6-1
2026-03-01vs 6.5M Winter Combo Smith-ChampaignLost 02
L#1 DoublesHans Dee / Jose Andino vs Nicholas LeVanti / Aaron Pearlman3-6, 2-6
L#3 DoublesVinod Ramakrishnan / Alberto Albejjani vs Eric Kuo / Hyegi Min1-6, 0-6
2026-02-15vs 6.5M Winter Combo Flores-ChampaignLost 02
L#1 DoublesCarl Guo / Jaemin Yang vs Cristhian Molina / Christopher Stewart4-6, 3-6
L#3 DoublesAlberto Albejjani / Kim Junghyun vs Yifan Ding / THOMAS WILSON7-5, 2-6, 0-1
2026-02-15vs 6.5M Winter Combo Smith-ChampaignWon 21
W#1 DoublesHans Dee / Jose Andino vs Geoffrey Lin / Aditya Gopalan6-4, 6-4
W#2 DoublesCarl Guo / Charles Sikora vs Andy Wilke / Dantzler Smith6-3, 6-3
L#3 DoublesAlberto Albejjani / Christian Sarol vs Eric Kuo / Jake Rundall3-6, 3-6
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 standings3 teams · West MSIL 6.5M Combo
TeamWLInd. WInd. LSets lostGames lost
16.5M Winter Combo Smith-Champaign4212613120
26.5M Winter Combo Castro-Champaign4211714143
36.5M Winter Combo Flores-Champaign1541430198

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 3.16 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.

3.88
Chris Sarol
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
3.70
Noel Castro
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.39
Charles Sikora
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.25
Vinod Ramakrishnan
usually #1 Doubles 40%, also #3 Doubles 40% · published
3.23
Jaemin Yang
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.23
Yongkyu An
usually #2 Doubles 40%, also #3 Doubles 40% · published
3.10
Kim Junghyun
usually #2 Doubles 60%, also #3 Doubles 20% · published
2.95
Hans Dee
usually #1 Doubles 60%, also #2 Doubles 20% · published
2.82
Carl Guo
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.80
Jose Andino
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.79
Alberto Albejjani
usually #3 Doubles 100% · published 3
2.77
Christian Sarol
usually #3 Doubles 100% · published 3
Gawon Lee
usually #2 Doubles 50%, also #1 Doubles 50% · published
Travis Davis
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.

Hans Dee + Chris Sarol4272% gamesnot enough data
Kim Junghyun + Yongkyu An3252% gamesnot enough data
Carl Guo + Travis Davis213 matchesnot enough data
Alberto Albejjani + Noel Castro303 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 · 5 lines in 2026
<1%81%19%
3.88
Noel Castro
65W–41L career · 4 lines in 2026
7%91%2%
3.70
3.5
Charles Sikora
41W–44L career · 5 lines in 2026
<1%78%22%
3.39
Vinod Ramakrishnan
9W–19L career · 5 lines in 2026
4%93%3%
3.25
Jaemin Yang
14W–20L career · 6 lines in 2026
5%92%3%
3.23
Yongkyu An
26W–37L career · 5 lines in 2026
5%92%3%
3.23
Kim Junghyun
18W–15L career · 5 lines in 2026
24%76%<1%
3.10
Hans Dee
28W–33L career · 5 lines in 2026
65%35%<1%
2.95
3
Carl Guo
22W–25L career · 2 lines in 2026
1%89%10%
2.82
Jose Andino
8W–10L career · 4 lines in 2026
2%91%7%
2.80
3
Alberto Albejjani
10W–9L career · 3 lines in 2026
2%92%6%
2.79
3
Christian Sarol
16W–12L career · 3 lines in 2026
3%92%5%
2.77
Gawon Lee
3W–5L career · 2 lines in 2026
not enough data
Travis Davis
16W–9L career · no lines 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.