Teams

MSIL 4.0M A18&O Champaign Blue

2022 MSIL Adult 18 & Over -MSIL East League · East MSIL A18 & O 4.0M

10 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
2022-08-01vs MSIL 4.0M A18&O Scaggs-ChampaignLost 12
L#1 DoublesCollin Carlier / Christopher Kuehn vs Sengla Boualavong / Andrew Scaggs3-6, 2-6
W#2 DoublesAndy Wilke / Kai Wang vs James Braun / Thomas Scaggs2-6, 6-4, 1-0
L#2 SinglesCharles Sikora vs David Diep1-6, 2-6
2022-07-25vs MSIL 4.0M A18&O Scaggs-ChampaignLost 03
L#1 DoublesCollin Carlier / Robert Vanhootegem vs Sengla Boualavong / Andrew Scaggs3-6, 2-6
L#1 SinglesOmair Alam vs Matthew Scaggs1-6, 4-6
L#2 SinglesCharles Sikora vs Anthony Ortega5-7, 1-6
2022-07-22vs MSIL 4.0M A18&O Scaggs-ChampaignLost 23
W#1 DoublesCollin Carlier / Christopher Kuehn vs Andrew Scaggs / Thomas Scaggs6-3, 6-2
L#1 SinglesOmair Alam vs Matthew Scaggs2-6, 2-6
L#2 DoublesRobert Vanhootegem / Andy Wilke vs James Braun / Chris Sarol3-6, 3-6
W#2 SinglesDoyeon Kim vs David Diep7-6, 4-6, 1-0
L#3 DoublesCharles Sikora / Patrick Hammie vs Matthew Davis / Hans Dee1-6, 0-6
2022-07-11vs MSIL 4.0M A18&O Scaggs-ChampaignSplit 22
W#1 SinglesOmair Alam vs Anthony Ortega6-2, 1-6, 1-0
L#2 DoublesCharles Sikora / Patrick Hammie vs Matthew Davis / Chris Sarol5-7, 1-6
L#2 SinglesDoyeon Kim vs David Diep6-4, 0-6, 0-1
W#3 DoublesAndy Wilke / Ryan Smith vs Matthew Scaggs / Hans Dee6-4, 3-6, 1-0
2022-06-27vs MSIL 4.0M A18&O Scaggs-ChampaignLost 13
L#1 DoublesChristopher Kuehn / Sean Miller vs Andrew Scaggs / Thomas Scaggs6-4, 3-6, 0-1
L#1 SinglesDoyeon Kim vs Anthony Ortega0-6, 0-6
L#2 DoublesPatrick Hammie / Charles Sikora vs Matthew Davis / Chris Sarol0-6, 4-6
W#3 DoublesAndy Wilke / Sendhil Kumaran vs Matthew Scaggs / Hans Dee6-4, 6-3
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 · East MSIL A18 & O 4.0M
TeamWLInd. WInd. LSets lostGames lost
1MSIL 4.0M A18&O Scaggs-Champaign4116922178
2MSIL 4.0M A18&O Champaign Blue1491637258

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 3.50 estimated across 8 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.

3.83
Collin Carlier
usually #1 Doubles 100% · published 4
3.75
Robert Vanhootegem
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.65
Sendhil Kumaran
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.56
Christopher Kuehn
usually #1 Doubles 100% · published 4
3.43
Charles Sikora
usually #2 Doubles 40%, also #2 Singles 40% · published 3.5
3.36
Patrick Hammie
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
3.20
Andy Wilke
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.20
Doyeon Kim
usually #2 Singles 67%, also #1 Singles 33% · published 3.5
Kai Wang
usually #2 Doubles 67%, also #3 Doubles 17% · published
Omair Alam
usually #1 Singles 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.

Christopher Kuehn + Patrick Hammie5744% games−11.6% vs expected
Patrick Hammie + Charles Sikora0830% games−19.5% vs expected
Christopher Kuehn + Collin Carlier3546% gamesnot enough data
Collin Carlier + Patrick Hammie4456% gamesnot enough data
Andy Wilke + Christopher Kuehn3442% gamesnot enough data
Christopher Kuehn + Charles Sikora4150% gamesnot enough data
Andy Wilke + Sendhil Kumaran303 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
Collin Carlier
17W–9L career · 3 lines in 2022
1%90%9%
3.83
3.5
Robert Vanhootegem
95W–110L career · 3 lines in 2022
<1%3%97%
3.75
4
Sendhil Kumaran
40W–28L career · 2 lines in 2022
12%88%<1%
3.65
4
Christopher Kuehn
51W–48L career · 3 lines in 2022
32%68%<1%
3.56
3.5
Charles Sikora
42W–47L career · 5 lines in 2022
<1%71%29%
3.43
3.5
Patrick Hammie
35W–37L career · 5 lines in 2022
<1%86%14%
3.36
3.5
Andy Wilke
26W–35L career · 4 lines in 2022
6%93%1%
3.20
3.5
Doyeon Kim
19W–7L career · 3 lines in 2022
6%93%1%
3.20
Kai Wang
15W–9L career · 6 lines in 2022
not enough data
Omair Alam
1W–2L career · 3 lines in 2022
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.