Teams

MSIL 6.5 Combo Mixed Hogan-Decatur

2022 Fall Combo Mixed · MSIL 6.5 Combo Mixed

11 players · average NTRP 3.17 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
W#1 DoublesRick McKirahan / Cay Ernst vs Ryan Lepp / Sara Bennett3-6, 6-2, 1-0
W#2 DoublesKortnie Lovell / Tod Nicholls vs Kai Wang / JOOYEN KIM6-4, 1-6, 1-0
L#3 DoublesTim Dasenbrock / Janet Hogan vs Rhoda Lewis / Francesco Botticella5-7, 6-4, 0-1
L#1 DoublesJanet Hogan / Tim Dasenbrock vs Ryan Lepp / Sara Bennett6-7, 2-6
W#2 DoublesKortnie Lovell / Tod Nicholls vs Rhoda Lewis / Francesco Botticella6-3, 6-1
L#3 DoublesRick McKirahan / Cay Ernst vs Kai Wang / JOOYEN KIM1-6, 1-6
W#1 DoublesKortnie Lovell / Madhu Reddy vs Ignacio Arretche / Eunkyung Lee5-7, 6-4, 1-0
W#2 DoublesCay Ernst / Sri Sai Kaushik Mushty vs Francesco Botticella / Rhoda Lewis6-1, 4-6, 1-0
L#3 DoublesCeleste Ames / Thomas Sanner vs Ryan Lepp / Maria Miguens4-6, 6-4, 0-1
W#1 DoublesKortnie Lovell / Madhu Reddy vs Kai Wang / Eun Yun6-4, 7-6
W#2 DoublesSean Miller / Amy Armstrong vs Kyoo Jo / Shiho Gimbel6-2, 6-0
L#3 DoublesCay Ernst / Sri Sai Kaushik Mushty vs Francesco Botticella / Rhoda Lewis4-6, 4-6
W#1 DoublesMadhu Reddy / Kortnie Lovell vs Maria Miguens / Ryan Lepp6-2, 6-2
W#2 DoublesSean Miller / Amy Armstrong vs Ignacio Arretche / Eunkyung Lee6-4, 6-1
L#3 DoublesThomas Sanner / Celeste Ames vs Kai Wang / JOOYEN KIM3-6, 6-3, 0-1
W#1 DoublesMadhu Reddy / Kortnie Lovell vs Maria Miguens / Ryan Lepp6-3, 6-4
L#2 DoublesTim Dasenbrock / Cay Ernst vs Kai Wang / Eun Yun0-6, 1-6
W#3 DoublesSean Miller / Amy Armstrong vs Kyoo Jo / Shiho Gimbel6-2, 6-1
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 · MSIL 6.5 Combo Mixed
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5 Combo Mixed Hogan-Decatur5111718153
2MSIL 6.5 Combo Mixed Wang-Champaign1571125175

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 3.07 estimated across 4 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.

3.45
Madhu Reddy
usually #1 Doubles 100% · published
Cay Ernst
usually #2 Doubles 40%, also #3 Doubles 40% · published 3.5
3.23
Thomas Sanner
usually #3 Doubles 100% · published
2.92
Amy Armstrong
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.67
Celeste Ames
usually #3 Doubles 100% · published 3
Janet Hogan
usually #3 Doubles 50%, also #1 Doubles 50% · published
Kortnie Lovell
usually #1 Doubles 67%, also #2 Doubles 33% · published
Rick McKirahan
usually #1 Doubles 50%, also #3 Doubles 50% · published
Sri Sai Kaushik Mushty
usually #2 Doubles 50%, also #3 Doubles 50% · published
Tim Dasenbrock
usually #2 Doubles 33%, also #3 Doubles 33% · published
Tod Nicholls
usually #2 Doubles 100% · 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.

Janet Hogan + Tim Dasenbrock4253% gamesnot enough data
Tod Nicholls + Amy Armstrong5170% gamesnot enough data
Cay Ernst + Rick McKirahan224 matchesnot enough data
Kortnie Lovell + Madhu Reddy404 matchesnot enough data
Celeste Ames + Tod Nicholls213 matchesnot enough data
Tod Nicholls + Kortnie Lovell213 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.

Madhu Reddy
49W–19L career · 4 lines in 2022
<1%65%35%
3.45
3.5
Cay Ernst
61W–40L career · type S · 5 lines in 2022
not enough data
Thomas Sanner
21W–16L career · 4 lines in 2022
<1%4%96%
3.23
3
Amy Armstrong
87W–56L career · 3 lines in 2022
<1%74%26%
2.92
3
Celeste Ames
55W–55L career · 2 lines in 2022
9%90%1%
2.67
Janet Hogan
38W–32L career · 2 lines in 2022
not enough data
Kortnie Lovell
36W–25L career · 6 lines in 2022
not enough data
Rick McKirahan
28W–17L career · 2 lines in 2022
not enough data
Sri Sai Kaushik Mushty
25W–17L career · 2 lines in 2022
not enough data
Tim Dasenbrock
35W–18L career · 3 lines in 2022
not enough data
Tod Nicholls
45W–20L 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.