Teams

MSIL A18&O 3.5W Brown-Champaign

2024 MSIL Adult 18 & Over -MSIL East League · East MSIL A18 & O 3.5W

15 players · average NTRP 3.56 / 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 SinglesMaria Miguens vs Jody Littleton6-1, 6-0
W#1 DoublesJill Reynen / Sarah Benevento vs Cynthia Ottemann / Carolyn Butterfield6-2, 6-7, 1-0
L#1 SinglesMaria Miguens vs Tece Hendrickson6-1, 5-7
W#3 DoublesStephanie Seiler / Dusty McEwen vs Susan Kundrat / Wendy Yang6-3, 5-7, 1-0
W#1 DoublesJill Reynen / Minsun Kim vs Eun Yun / Su Yeon Choi6-2, 6-2
L#1 SinglesEva Fischer vs Su A Lee1-6, 0-6
W#3 DoublesSally Boland / Maria Miguens vs Soonok Cramer / Karolyn Smith6-2, 6-1
L#2 DoublesMaria Miguens / Diane Pelafos vs Wendy Yang / Tece Hendrickson3-6, 3-6
W#3 DoublesMinsun Kim / Renee Brown vs Dorothy Deschler / Leslie Neitzel6-2, 6-1
W#1 DoublesSarah Benevento / Jill Reynen vs Jeana McAllister / Marcia Nelson6-0, 6-0
W#2 DoublesDusty McEwen / Diane Pelafos vs Su Yeon Choi / Karolyn Smith6-2, 7-6
W#3 DoublesMinsun Kim / Stephanie Seiler vs Mary Sandahl / Rocio Valdebenito6-3, 6-4
W#4 DoublesRenee Brown / Eunkyung Lee vs Shelly Benson / Nancy Fay6-2, 6-3
W#1 DoublesMaria Miguens / Sarah Benevento vs Carolyn Butterfield / Cynthia Ottemann6-3, 6-2
L#1 SinglesEva Fischer vs Laura Sonnichsen1-6, 0-6
W#2 DoublesMinsun Kim / Eunkyung Lee vs Diane Winder / Wendy Yang6-1, 6-2
W#4 DoublesDusty McEwen / Stephanie Seiler vs Leslie Neitzel / Lynnette Dodds6-3, 7-6
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 · East MSIL A18 & O 3.5W
TeamWLInd. WInd. LSets lostGames lost
1MSIL A18&O 3.5W Brown-Champaign5123719211
2MSIL A18&O 3.5W Butterfield/Ottemann-Champaign33141637284
3MSIL A18&O 3.5W Yun/Watson-Champaign1582246310

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 3.31 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.

3.66
Sarah Benevento
usually #1 Doubles 100% · published
3.51
Dusty McEwen
usually #2 Doubles 33%, also #3 Doubles 33% · published 4
3.42
Anna Pucilowski
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.32
Diane Pelafos
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.30
Sally Boland
usually #3 Doubles 40%, also #4 Doubles 40% · published 3.5
3.26
Stephanie Seiler
usually #3 Doubles 75%, also #4 Doubles 25% · published 3.5
3.19
Jill Reynen
usually #1 Doubles 80%, also #4 Doubles 20% · published 3.5
3.08
Hania Taha
usually #2 Doubles 25%, also #1 Singles 25% · published 3.5
3.07
Marla Golden
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
Eunkyung Lee
usually #4 Doubles 50%, also #2 Doubles 50% · published
Eva Fischer
usually #1 Singles 100% · published
Maria Miguens
usually #1 Singles 40%, also #2 Doubles 20% · published
Minsun Kim
usually #3 Doubles 50%, also #2 Doubles 25% · published
Renee Brown
published
Sara Bennett
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.

Dusty McEwen + Stephanie Seiler10061% games+15.3% vs expected
Sarah Benevento + Maria Miguens5069% games+8.8% vs expected
Jill Reynen + Minsun Kim11653% games+6.2% vs expected
Jill Reynen + Sarah Benevento5456% games+0.4% vs expected
Diane Pelafos + Marla Golden2645% games−13.5% vs expected
Anna Pucilowski + Eva Fischer2640% gamesnot enough data
Marla Golden + Anna Pucilowski3343% gamesnot enough data
Sally Boland + Minsun Kim5066% gamesnot 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.

Sarah Benevento
52W–29L career · 3 lines in 2024
11%88%<1%
3.66
4
Dusty McEwen
76W–25L career · 3 lines in 2024
46%54%<1%
3.51
3.5
Anna Pucilowski
82W–47L career · 4 lines in 2024
<1%74%26%
3.42
3.5
Diane Pelafos
68W–59L career · 3 lines in 2024
1%91%8%
3.32
3.5
Sally Boland
161W–128L career · 5 lines in 2024
1%93%6%
3.30
3.5
Stephanie Seiler
76W–62L career · 4 lines in 2024
2%94%3%
3.26
3.5
Jill Reynen
69W–70L career · 5 lines in 2024
7%92%1%
3.19
3.5
Hania Taha
50W–28L career · type A · 7 lines in 2024
27%73%<1%
3.08
3.5
Marla Golden
106W–135L career · 4 lines in 2024
30%70%<1%
3.07
Eunkyung Lee
7W–6L career · 2 lines in 2024
not enough data
Eva Fischer
5W–18L career · 2 lines in 2024
not enough data
Maria Miguens
61W–42L career · 5 lines in 2024
not enough data
Minsun Kim
110W–25L career · 4 lines in 2024
not enough data
Renee Brown
18W–29L career · no lines in 2024
not enough data
Sara Bennett
9W–3L career · no lines in 2024
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.