Teams

MSIL 6.5 Combo Mixed Hogan-Decatur

2023 Fall Combo Mixed · 6.5 Mixed Combo

15 players · average NTRP 3.21 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
W#1 DoublesTod Nicholls / Ginny Kerwin vs Jason Collins / Tenley Banik6-2, 7-5
W#2 DoublesSean Miller / Kara Knepp vs Dusty McEwen / Brett Henneberg6-3, 6-4
W#3 DoublesKendall Trump / Bob Lyons vs Stephanie Seiler / Steve Grady6-1, 6-3
L#1 DoublesKara Knepp / Sean Miller vs Dusty McEwen / Brett Henneberg2-6, 3-6
L#2 DoublesJanet Hogan / Joshua Risinger vs Tenley Banik / Steve Grady3-6, 7-5, 1-0
W#3 DoublesMegan Comerford / Erik Siembab vs Chandra Shanklin / Joseph McCarron6-4, 1-6, 1-0
W#1 DoublesKendall Trump / Bob Lyons vs Juan Lopez / Betina Basile4-6, 6-1, 1-0
W#2 DoublesLaura Sonnichsen / Erik Siembab vs Jacqueline Bertagni / Gaston Suardiaz6-4, 6-2
L#1 DoublesKara Knepp / Sean Miller vs Zeno Jo / Minsun Kim3-6, 6-7
L#2 DoublesSally Boland / Rick McKirahan vs Betina Basile / Christopher Kuehn6-3, 6-7, 0-1
W#3 DoublesMegan Comerford / Tod Nicholls vs Jacqueline Bertagni / Ignacio Arretche6-2, 7-5
W#1 DoublesSean Miller / Kara Knepp vs Noel Castro / Amy Armstrong5-7, 7-5, 1-0
L#2 DoublesTod Nicholls / Ginny Kerwin vs Lijian Zhang / Sara Bennett7-6, 4-6, 0-1
W#3 DoublesRick McKirahan / Laura Sonnichsen vs Travis Davis / Quynh Nguyen6-2, 6-1
L#1 DoublesSally Boland / Rick McKirahan vs Sarah Benevento / Travis Davis7-6, 4-6, 0-1
W#2 DoublesSean Miller / Kara Knepp vs JOOYEN KIM / Lijian Zhang2-6, 6-4, 1-0
W#3 DoublesBob Lyons / Kendall Trump vs Francesco Botticella / Molly McMahon6-4, 6-0
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 standings4 teams · 6.5 Mixed Combo
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5 Combo Mixed Hogan-Decatur4212616150
2MSIL 6.5 Combo Mixed Wang-Champaign339920162
3MSIL 6.5 Combo Mixed Collins-Bloomington3371126193
4MSIL 6.5 Combo Mixed Miguens-Champaign2481023182

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 3.02 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.

3.30
Sally Boland
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.27
Laura Sonnichsen
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.25
Erik Siembab
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.19
Joshua Risinger
usually #2 Doubles 100% · published
3.05
Ginny Kerwin
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.98
Megan Comerford
usually #3 Doubles 67%, also #1 Doubles 33% · published
2.87
Carolyn Boblitt
published 3
2.77
Bob Lyons
usually #1 Doubles 50%, also #3 Doubles 50% · published 3
2.56
Kara Knepp
usually #2 Doubles 43%, also #1 Doubles 43% · published 3
Janet Hogan
usually #2 Doubles 100% · published
Kendall Trump
usually #3 Doubles 67%, also #1 Doubles 33% · published
Kortnie Lovell
usually #1 Doubles 75%, also #3 Doubles 25% · published
Rick McKirahan
usually #1 Doubles 33%, also #3 Doubles 33% · published
Tim Dasenbrock
published
Tod Nicholls
usually #1 Doubles 33%, also #2 Doubles 33% · 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.

Sally Boland + Tod Nicholls18760% gamesnot enough data
Ginny Kerwin + Tim Dasenbrock10068% gamesnot enough data
Ginny Kerwin + Erik Siembab4351% gamesnot enough data
Janet Hogan + Tim Dasenbrock4253% gamesnot enough data
Ginny Kerwin + Bob Lyons5059% gamesnot enough data
Tim Dasenbrock + Carolyn Boblitt2348% gamesnot enough data
Bob Lyons + Kendall Trump4161% gamesnot enough data
Joshua Risinger + Kara Knepp404 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.

3.5
Sally Boland
161W–128L career · 4 lines in 2023
1%93%6%
3.30
3.5
Laura Sonnichsen
143W–86L career · 2 lines in 2023
2%94%4%
3.27
3.5
Erik Siembab
90W–95L career · 3 lines in 2023
3%95%2%
3.25
Joshua Risinger
22W–15L career · 1 line in 2023
8%92%1%
3.19
3
Ginny Kerwin
96W–56L career · 2 lines in 2023
<1%35%65%
3.05
Megan Comerford
33W–31L career · 6 lines in 2023
<1%57%43%
2.98
3
Carolyn Boblitt
83W–35L career · type A · no lines in 2023
<1%85%15%
2.87
3
Bob Lyons
24W–13L career · type S · 6 lines in 2023
2%94%4%
2.77
3
Kara Knepp
55W–62L career · 7 lines in 2023
33%67%<1%
2.56
Janet Hogan
38W–32L career · 2 lines in 2023
not enough data
Kendall Trump
7W–4L career · 3 lines in 2023
not enough data
Kortnie Lovell
36W–25L career · 4 lines in 2023
not enough data
Rick McKirahan
28W–17L career · 3 lines in 2023
not enough data
Tim Dasenbrock
35W–18L career · no lines in 2023
not enough data
Tod Nicholls
45W–20L career · 3 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.