Teams

MSIL A18&O 4.0M Scaggs-Champaign

2023 MSIL Adult 18 & Over -MSIL East League · East MSIL A18 & O 4.0M

12 players · average NTRP 4.06 / 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 →

Flight standings for East MSIL A18 & O 4.0M have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 7 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
published 4.5
Aanan Kashyap
published 4.5
3.90
Teri Scaggs
published 4
3.89
Chris Sarol
usually #3 Doubles 100% · published 4
3.87
Andrew Scaggs
usually #1 Doubles 50%, also #2 Doubles 33% · published 4
3.77
Lino Jo
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.76
Thomas Scaggs
usually #2 Doubles 83%, also #1 Doubles 17% · published 4
David Diep
published 4
3.03
Hans Dee
published 3.5
Matthew Scaggs
published
Mitch Aubert
published
Sengla Boualavong
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 · no lines in 2023
<1%87%12%
4.35
4.5
Aanan Kashyap
5W–0L career · no lines in 2023
not enough data
4
Teri Scaggs
129W–55L career · no lines in 2023
<1%78%22%
3.90
4
Chris Sarol
109W–28L career · 3 lines in 2023
<1%80%20%
3.89
4
Andrew Scaggs
31W–10L career · 6 lines in 2023
<1%84%16%
3.87
Lino Jo
30W–12L career · 8 lines in 2023
2%94%4%
3.77
4
Thomas Scaggs
54W–16L career · 6 lines in 2023
2%94%3%
3.76
4
David Diep
16W–9L career · no lines in 2023
not enough data
3.5
Hans Dee
28W–33L career · no lines in 2023
42%58%<1%
3.03
Matthew Scaggs
2W–2L career · no lines in 2023
not enough data
Mitch Aubert
7W–10L career · no lines in 2023
not enough data
Sengla Boualavong
56W–8L career · no lines in 2023
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.