Teams

MSIL 6.5W Combo Brown-Champaign

2022 MSIL Fall Combo · East MSIL 6.5W Combo

15 players · average NTRP 3.38 / 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 DoublesSarah Benevento / Ginny Kerwin vs Carolyn Butterfield / Amy Armstrong6-3, 6-2
W#2 DoublesRenee Brown / Dusty McEwen vs Cynthia Ottemann / Jamie Young1-6, 6-4, 1-0
W#3 DoublesShiho Gimbel / Janet Hogan vs Diane Winder / Cynthia Somers6-2, 6-1
2022-12-11vs MSIL 6.5W Combo Yun-ChampaignWon 21
L#1 DoublesMary Krauklis / Megan Comerford vs Satomi Baumgartner / Yuko Barnes3-6, 5-7
W#2 DoublesJill Reynen / Dusty McEwen vs Kaye Kimpling / Eun Yun3-6, 7-6, 1-0
W#3 DoublesRebecca Hoch / Wendy Yang vs Louise Weber / Lori Rutledge7-5, 6-3
W#1 DoublesSarah Benevento / Maria Miguens vs Cynthia Ottemann / Cynthia Somers6-4, 6-2
W#2 DoublesMary Krauklis / Ginny Kerwin vs Kay Lindsay / Leslie Neitzel6-1, 6-1
W#3 DoublesShiho Gimbel / JOOYEN KIM vs Nancy Fay / Eva Fischer6-2, 6-1
2022-11-27vs MSIL 6.5W Combo Yun-ChampaignSplit 11
W#1 DoublesSarah Benevento / Megan Comerford vs Soonok Cramer / Eun Yun6-3, 7-5
L#2 DoublesJanet Hogan / Mary Krauklis vs Satomi Baumgartner / Yuko Barnes4-6, 3-6
W#1 DoublesJill Reynen / JOOYEN KIM vs Julie la Payne / Kay Lindsay6-4, 6-2
W#2 DoublesRebecca Hoch / Wendy Yang vs Carolyn Butterfield / Amy Armstrong7-6, 4-6, 1-0
W#3 DoublesSarah Benevento / Ginny Kerwin vs N/A6-0, 6-0
2022-11-06vs MSIL 6.5W Combo Yun-ChampaignLost 03
L#1 DoublesRenee Brown / JOOYEN KIM vs Satomi Baumgartner / Yuko Barnes3-6, 3-6
L#2 DoublesJill Reynen / Maria Miguens vs Soonok Cramer / Eun Yun3-6, 6-1, 0-1
L#3 DoublesJanet Hogan / Ginny Kerwin vs Kaye Kimpling / Jennifer Galloway3-6, 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 standings5 teams · East MSIL 6.5W Combo
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5W Combo Hawkins-Peoria802314107
2MSIL 6.5W Combo Brown-Champaign5113513132
3MSIL 6.5W Combo Yun-Champaign3311716153
4MSIL 6.5W Combo Fay/Lindsay-Champaign1531532199
5MSIL 6.5W Combo Peoria0812346284

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 3.23 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.

3.66
Sarah Benevento
usually #1 Doubles 63%, also #2 Doubles 25% · published
3.51
Dusty McEwen
usually #2 Doubles 100% · published 4
3.19
Jill Reynen
usually #2 Doubles 50%, also #3 Doubles 33% · published 3.5
3.05
Ginny Kerwin
usually #3 Doubles 50%, also #2 Doubles 25% · published 3
3.01
JOOYEN KIM
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.98
Megan Comerford
usually #1 Doubles 100% · published
Janet Hogan
usually #3 Doubles 67%, also #2 Doubles 33% · published
Jessica Hammie
published
Maria Miguens
usually #1 Doubles 50%, also #2 Doubles 50% · published
Mary Krauklis
usually #1 Doubles 43%, also #2 Doubles 43% · published
Rebecca Hoch
usually #3 Doubles 50%, also #1 Doubles 25% · published
Renee Brown
usually #2 Doubles 50%, also #1 Doubles 50% · published
Shiho Gimbel
usually #3 Doubles 100% · published
Tammi Warters
published
Wendy Yang
usually #3 Doubles 50%, also #2 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.

Sarah Benevento + Maria Miguens5069% games+8.8% vs expected
Megan Comerford + Ginny Kerwin6160% games+8.2% vs expected
Jill Reynen + Sarah Benevento5456% games+0.4% vs expected
Dusty McEwen + JOOYEN KIM314 matchesnot enough data
Janet Hogan + Ginny Kerwin123 matchesnot enough data
Rebecca Hoch + Wendy Yang303 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.

Sarah Benevento
52W–29L career · 8 lines in 2022
11%88%<1%
3.66
4
Dusty McEwen
76W–25L career · 2 lines in 2022
46%54%<1%
3.51
3.5
Jill Reynen
69W–70L career · 6 lines in 2022
7%92%1%
3.19
3
Ginny Kerwin
96W–56L career · 4 lines in 2022
<1%35%65%
3.05
3
JOOYEN KIM
115W–64L career · 3 lines in 2022
<1%46%54%
3.01
Megan Comerford
33W–31L career · 2 lines in 2022
<1%57%43%
2.98
Janet Hogan
38W–32L career · 3 lines in 2022
not enough data
Jessica Hammie
4W–5L career · no lines in 2022
not enough data
Maria Miguens
61W–42L career · 2 lines in 2022
not enough data
Mary Krauklis
11W–10L career · 7 lines in 2022
not enough data
Rebecca Hoch
40W–39L career · 4 lines in 2022
not enough data
Renee Brown
18W–29L career · 2 lines in 2022
not enough data
Shiho Gimbel
33W–36L career · 2 lines in 2022
not enough data
Tammi Warters
0W–3L career · no lines in 2022
not enough data
Wendy Yang
10W–5L 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.