Teams

MSIL 7.5 Winter Combo Mixed Wang-Champaign

2026 Combo Mixed · MSIL 7.5 Combo Mixed

12 players · average NTRP 3.72 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
L#1 DoublesHans Dee / Caroline Cox vs Corry Harris / Sally Boland1-6, 0-6
W#2 DoublesLijian Zhang / Kyo Nakanishi vs Mark Miller / Allison Bergh6-2, 6-0
W#3 DoublesCharles Sikora / Sarah Kim vs A Spitalny / Marguerite Bailey7-5, 6-2
L#1 DoublesHans Dee / Molly McMahon vs Destiny Galvan / Jason Collins3-6, 1-6
W#2 DoublesFelina Kelly / Kai Wang vs Marissa Hagler / Matt Lollar6-0, 7-5
L#3 DoublesLijian Zhang / JOOYEN KIM vs Mark Killick / Paige McNamara2-6, 4-6
L#1 DoublesHans Dee / Felina Kelly vs Madhu Reddy / Amalia Krecik1-6, 3-6
L#2 DoublesKai Wang / Molly McMahon vs Corry Harris / Lisa Bennett7-5, 3-6, 1-0
W#3 DoublesLijian Zhang / JOOYEN KIM vs Chad Brooks / Rini Stoltz6-2, 6-2
W#1 DoublesChris Sarol / Kyo Nakanishi vs Matt Lollar / Cymbria Jung6-2, 6-1
W#2 DoublesNoel Castro / Caroline Cox vs Brett Henneberg / Amanda Lawler6-1, 3-6, 1-0
L#3 DoublesCharles Sikora / Sarah Kim vs Sean Miller / Cara Boester7-6, 1-6, 0-1
W#1 DoublesJOOYEN KIM / Brett Scroggins vs Jason Collins / Paige McNamara4-6, 6-0, 1-0
W#2 DoublesMolly McMahon / Chris Sarol vs Cara Boester / Sean Miller6-3, 6-2
W#3 DoublesTeri Scaggs / Lijian Zhang vs Brett Henneberg / Chandra Shanklin6-2, 6-2
W#1 DoublesBrett Scroggins / JOOYEN KIM vs Corry Harris / Kortnie Lovell7-5, 6-2
W#2 DoublesChris Sarol / Molly McMahon vs Mark Miller / Natalie Brown6-3, 6-2
W#3 DoublesLijian Zhang / Teri Scaggs vs A Spitalny / Lisa Bennett6-1, 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 standings3 teams · MSIL 7.5 Combo Mixed
TeamWLInd. WInd. LSets lostGames lost
1MSIL 7.5 Winter Combo Mixed Wang-Champaign4212614129
2MSIL 7.5 Winter Combo Mixed Spitalny-Peoria339919162
3MSIL 7.5 Winter Combo Mixed McNamara-Bloomington2461225183

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 3.60 estimated across 11 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.

4.31
Brett Scroggins
usually #1 Doubles 100% · published 4.5
3.90
Teri Scaggs
usually #3 Doubles 100% · published 4
3.89
Chris Sarol
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.89
Felina Kelly
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.78
Noel Castro
usually #1 Doubles 33%, also #3 Doubles 33% · published
3.50
Kyo Nakanishi
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.48
Molly McMahon
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.43
Charles Sikora
usually #3 Doubles 100% · published 3.5
3.34
Lijian Zhang
usually #3 Doubles 44%, also #2 Doubles 44% · published 3.5
3.03
Hans Dee
usually #1 Doubles 100% · published 3.5
3.01
JOOYEN KIM
usually #1 Doubles 38%, also #2 Doubles 38% · published 3
Kai Wang
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.

JOOYEN KIM + Lijian Zhang21367% games+6.8% vs expected
Felina Kelly + Noel Castro5549% gamesnot enough data
Teri Scaggs + Hans Dee2636% gamesnot enough data
Teri Scaggs + Lijian Zhang3260% gamesnot enough data
Felina Kelly + Chris Sarol404 matchesnot enough data
JOOYEN KIM + Kai Wang213 matchesnot enough data
JOOYEN KIM + Charles Sikora213 matchesnot enough data
Felina Kelly + Kai Wang213 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.

4.5
Brett Scroggins
16W–3L career · type S · 2 lines in 2026
1%92%7%
4.31
4
Teri Scaggs
129W–55L career · 2 lines in 2026
<1%78%22%
3.90
4
Chris Sarol
109W–28L career · 3 lines in 2026
<1%80%20%
3.89
4
Felina Kelly
71W–29L career · 2 lines in 2026
<1%80%20%
3.89
Noel Castro
66W–43L career · 3 lines in 2026
2%94%4%
3.78
Kyo Nakanishi
20W–4L career · 2 lines in 2026
<1%51%49%
3.50
3.5
Molly McMahon
38W–82L career · 6 lines in 2026
<1%57%43%
3.48
3.5
Charles Sikora
42W–47L career · 2 lines in 2026
<1%71%29%
3.43
3.5
Lijian Zhang
112W–59L career · 9 lines in 2026
<1%88%11%
3.34
3.5
Hans Dee
28W–33L career · 3 lines in 2026
42%58%<1%
3.03
3
JOOYEN KIM
115W–64L career · 8 lines in 2026
<1%46%54%
3.01
Kai Wang
15W–9L career · no lines in 2026
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.