Teams

MSIL Mixed 18&O 8.0 Scaggs-Champaign

2023 MSIL Mixed 18 & Over - MSIL East League · East MSIL Mixed 18 & Over 8.0

12 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 →
Schedule7 played
W#1 DoublesAanan Kashyap / Beth Hoag vs Hunter Antonisse / Maria Miguens6-3, 6-4
W#2 DoublesCollin Carlier / Rhoda Lewis vs Ignacio Arretche / Melissa Edwards7-5, 3-6, 1-0
W#3 DoublesBrayden Helfer / Felina Kelly vs Sean Miller / Minsun Kim6-2, 7-5
L#1 DoublesYoung Kim / Rhoda Lewis vs Christopher Kuehn / Sarah Benevento6-3, 3-6, 0-1
W#2 DoublesChris Sarol / Felina Kelly vs Sean Miller / Minsun Kim6-2, 7-5
L#1 DoublesNoel Castro / Felina Kelly vs Christopher Kuehn / Sarah Benevento4-6, 4-6
W#3 DoublesChris Sarol / Beth Hoag vs Ignacio Arretche / Melissa Edwards6-0, 6-2
W#1 DoublesNoel Castro / Felina Kelly vs Ignacio Arretche / Laura Podeschi6-4, 6-2
L#3 DoublesLijian Zhang / Teri Scaggs vs Taylor Chen / Maria Miguens5-7, 3-6
W#1 DoublesAanan Kashyap / Beth Hoag vs Taylor Chen / Sarah Benevento5-7, 6-3, 1-0
W#2 DoublesNoel Castro / Susan Novitsky vs Hunter Antonisse / Minsun Kim2-6, 6-3, 1-0
L#3 DoublesBrayden Helfer / Teri Scaggs vs Arthur de Oliveira Lima / Laura Podeschi6-7, 4-6
W#1 DoublesFelina Kelly / Young Kim vs Maria Miguens / Taylor Chen6-1, 7-5
W#2 DoublesBeth Hoag / Chris Sarol vs Hunter Antonisse / Minsun Kim6-4, 7-5
W#1 DoublesCollin Carlier / Felina Kelly vs Sean Miller / Melissa Edwards4-6, 7-5, 1-0
L#2 DoublesYoung Kim / Beth Hoag vs Taylor Chen / Maria Miguens4-6, 6-4, 0-1
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 · East MSIL Mixed 18 & Over 8.0
TeamWLInd. WInd. LSets lostGames lost
1MSIL Mixed 18&O 8.0 Scaggs-Champaign4313821186
2MSIL Mixed 18&O 8.0 Antonisse-Champaign3481331223

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 3.76 estimated across 9 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.

Aanan Kashyap
usually #1 Doubles 100% · published 4.5
3.90
Teri Scaggs
usually #3 Doubles 100% · published 4
3.89
Chris Sarol
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.89
Felina Kelly
usually #1 Doubles 67%, also #3 Doubles 17% · published 4
3.83
Collin Carlier
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.78
Noel Castro
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.76
Thomas Scaggs
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
Brayden Helfer
usually #3 Doubles 100% · published 4
3.73
Beth Hoag
usually #1 Doubles 40%, also #2 Doubles 40% · published 4
3.71
Susan Novitsky
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.34
Lijian Zhang
usually #3 Doubles 100% · published 3.5
Rhoda Lewis
usually #2 Doubles 50%, also #1 Doubles 50% · 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.

Beth Hoag + Chris Sarol10454% games+7.1% vs expected
Felina Kelly + Noel Castro5549% gamesnot enough data
Teri Scaggs + Collin Carlier6256% gamesnot enough data
Susan Novitsky + Noel Castro4249% gamesnot enough data
Teri Scaggs + Lijian Zhang3260% gamesnot enough data
Susan Novitsky + Thomas Scaggs224 matchesnot enough data
Felina Kelly + Chris Sarol404 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
Aanan Kashyap
5W–0L career · 2 lines in 2023
not enough data
4
Teri Scaggs
129W–55L career · 2 lines in 2023
<1%78%22%
3.90
4
Chris Sarol
109W–28L career · 3 lines in 2023
<1%80%20%
3.89
4
Felina Kelly
71W–29L career · 6 lines in 2023
<1%80%20%
3.89
4
Collin Carlier
17W–9L career · 2 lines in 2023
1%90%9%
3.83
Noel Castro
66W–43L career · 3 lines in 2023
2%94%4%
3.78
4
Thomas Scaggs
54W–16L career · 4 lines in 2023
2%94%3%
3.76
4
Brayden Helfer
1W–1L career · 2 lines in 2023
not enough data
4
Beth Hoag
60W–52L career · 5 lines in 2023
4%94%2%
3.73
4
Susan Novitsky
76W–103L career · 6 lines in 2023
5%93%1%
3.71
3.5
Lijian Zhang
112W–59L career · 1 line in 2023
<1%88%11%
3.34
Rhoda Lewis
68W–77L career · 2 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.