Teams

MSIL 4.0M A18&O Scaggs-Champaign

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

9 players · average NTRP 4.00 / 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 Champaign BlueLost 12
W#1 DoublesSengla Boualavong / Andrew Scaggs vs Collin Carlier / Christopher Kuehn6-3, 6-2
L#2 DoublesJames Braun / Thomas Scaggs vs Andy Wilke / Kai Wang6-2, 4-6, 0-1
L#3 DoublesChris Sarol / Hans Dee vs Sean Miller / Patrick Hammie3-6, 7-5, 0-1
2022-07-25vs MSIL 4.0M A18&O Champaign BlueWon 30
W#1 DoublesSengla Boualavong / Andrew Scaggs vs Collin Carlier / Robert Vanhootegem6-3, 6-2
W#1 SinglesMatthew Scaggs vs Omair Alam6-1, 6-4
W#2 DoublesJames Braun / Thomas Scaggs vs Sendhil Kumaran / Kai Wang6-3, 1-6, 1-0
2022-07-22vs MSIL 4.0M A18&O Champaign BlueWon 30
W#1 SinglesMatthew Scaggs vs Omair Alam6-2, 6-2
W#2 DoublesJames Braun / Chris Sarol vs Robert Vanhootegem / Andy Wilke6-3, 6-3
W#3 DoublesMatthew Davis / Hans Dee vs Charles Sikora / Patrick Hammie6-1, 6-0
2022-07-11vs MSIL 4.0M A18&O Champaign BlueLost 01
L#3 DoublesMatthew Scaggs / Hans Dee vs Andy Wilke / Ryan Smith6-4, 3-6, 1-0
2022-06-27vs MSIL 4.0M A18&O Champaign BlueLost 01
L#3 DoublesMatthew Scaggs / Hans Dee vs Andy Wilke / Sendhil Kumaran4-6, 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 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 3.80 estimated across 6 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.

4.35
James Braun
usually #2 Doubles 100% · published 4.5
3.90
Teri Scaggs
published 4
3.89
Chris Sarol
usually #2 Doubles 60%, also #3 Doubles 40% · published 4
3.87
Andrew Scaggs
usually #1 Doubles 100% · published 4
3.76
Thomas Scaggs
usually #1 Doubles 60%, also #2 Doubles 40% · published 4
David Diep
usually #2 Singles 60%, also #2 Doubles 30% · published 4
3.03
Hans Dee
usually #3 Doubles 100% · published 3.5
Matthew Scaggs
usually #3 Doubles 50%, also #1 Singles 50% · published
Sengla Boualavong
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.

Andrew Scaggs + Sengla Boualavong8075% games+19.8% vs expected
Andrew Scaggs + Thomas Scaggs14267% games+1.3% vs expected
Hans Dee + Chris Sarol4272% gamesnot enough data
Thomas Scaggs + James Braun224 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.

4.5
James Braun
7W–2L career · 3 lines in 2022
<1%87%12%
4.35
4
Teri Scaggs
129W–55L career · no lines in 2022
<1%78%22%
3.90
4
Chris Sarol
109W–28L career · 5 lines in 2022
<1%80%20%
3.89
4
Andrew Scaggs
31W–10L career · 5 lines in 2022
<1%84%16%
3.87
4
Thomas Scaggs
54W–16L career · 5 lines in 2022
2%94%3%
3.76
4
David Diep
16W–9L career · 10 lines in 2022
not enough data
3.5
Hans Dee
28W–33L career · 4 lines in 2022
42%58%<1%
3.03
Matthew Scaggs
2W–2L career · 4 lines in 2022
not enough data
Sengla Boualavong
56W–8L career · 2 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.