Teams

MSIL 6.5 Combo Mixed Gimbel-Champaign

2022 Combo Mixed · MSIL 6.5 Combo Mixed

12 players · average NTRP 3.50 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
W#1 DoublesKai Wang / Narumi Toda vs Timothy Latronico / Kimberly McHenry6-4, 3-6, 1-0
L#2 DoublesIgnacio Arretche / Maria Miguens vs Mark Killick / Chandra Shanklin3-6, 5-7
L#3 DoublesFrancesco Botticella / Rhoda Lewis vs Don Varghese / Shen Dirkes4-6, 4-6
2022-03-19vs MSIL 6.5 Combo Mixed Hogan-DecaturSplit 11
W#2 DoublesJonghyeok Shin / Narumi Toda vs Patrick Garrity / Carolyn Boblitt6-1, 6-2
L#3 DoublesYoon Lee / Jaeun Jemma Ku vs Tim Dasenbrock / Suzanne Johnson1-6, 1-6
L#1 DoublesRhoda Lewis / Francesco Botticella vs Tenley Banik / Jason Collins2-6, 1-6
W#2 DoublesKai Wang / Narumi Toda vs Chandra Shanklin / Don Varghese7-6, 6-0
W#1 DoublesIgnacio Arretche / Maria Miguens vs Patrick Garrity / Kortnie Lovell7-6, 6-4
W#2 DoublesJonghyeok Shin / Narumi Toda vs Sean Miller / Darla Bruder-Goodlick7-5, 4-6, 1-0
L#3 DoublesKai Wang / Ayumi Mathews vs Tim Dasenbrock / Suzanne Johnson6-7, 3-6
W#1 DoublesKai Wang / Narumi Toda vs Kortnie Lovell / Tod Nicholls6-3, 6-3
L#2 DoublesJaeun Jemma Ku / Yoon Lee vs Amy Armstrong / Sean Miller3-6, 1-6
W#3 DoublesRhoda Lewis / Francesco Botticella vs Suzanne Johnson / Rick McKirahan2-6, 6-1, 1-0
W#2 DoublesIgnacio Arretche / Maria Miguens vs Todd Kettering / Shen Dirkes6-3, 6-3
L#3 DoublesJuan Lopez / Ayumi Mathews vs Ravi Singhal / Allison Cooper3-6, 4-6
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 standings2 teams · MSIL 6.5 Combo Mixed
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5 Combo Mixed Collins-Bloomington5111716167
2MSIL 6.5 Combo Mixed Gimbel-Champaign2481023179

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 3.10 estimated across 1 rated player. 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.

Ignacio Arretche
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.10
Francesco Botticella
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
Ayumi Mathews
usually #3 Doubles 100% · published
Jaeun Jemma Ku
usually #3 Doubles 50%, also #2 Doubles 50% · published
Jonghyeok Shin
usually #2 Doubles 100% · published
Kai Wang
published
Maria Miguens
usually #2 Doubles 67%, also #1 Doubles 33% · published
Narumi Toda
usually #2 Doubles 50%, also #1 Doubles 25% · published
Rhoda Lewis
usually #3 Doubles 67%, also #1 Doubles 33% · published
Sara Bennett
published
Shiho Gimbel
usually #1 Doubles 50%, also #2 Doubles 50% · published
Yoon Lee
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.

Rhoda Lewis + Francesco Botticella41538% gamesnot enough data
Ignacio Arretche + Maria Miguens3546% gamesnot enough data
Yoon Lee + Jaeun Jemma Ku0727% gamesnot enough data
Francesco Botticella + Maria Miguens224 matchesnot enough data
Rhoda Lewis + Ignacio Arretche033 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
Ignacio Arretche
22W–37L career · 3 lines in 2022
not enough data
3.5
Francesco Botticella
41W–55L career · 3 lines in 2022
21%78%<1%
3.10
Ayumi Mathews
0W–3L career · 2 lines in 2022
not enough data
Jaeun Jemma Ku
5W–16L career · 2 lines in 2022
not enough data
Jonghyeok Shin
2W–0L career · 2 lines in 2022
not enough data
Kai Wang
15W–9L career · no lines in 2022
not enough data
Maria Miguens
61W–42L career · 3 lines in 2022
not enough data
Narumi Toda
10W–2L career · 8 lines in 2022
not enough data
Rhoda Lewis
68W–77L career · 6 lines in 2022
not enough data
Sara Bennett
9W–3L career · no lines in 2022
not enough data
Shiho Gimbel
33W–36L career · 2 lines in 2022
not enough data
Yoon Lee
9W–19L 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.