Teams

MSIL 3.0/3.5/4.0 Tri-Level McNamara-Bloomington

2025 MSIL Fall Tri-Level · MSIL Women's Tri-Level 3.0

14 players · average NTRP 3.50 / 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 →
Schedule8 played
L#1 DoublesMolly McMahon / Cymbria Jung vs Minsun Kim / Maria Miguens0-6, 5-7
W#2 DoublesCynthia Ottemann / Cara Boester vs Stephanie Seiler / Jennifer Soderlind6-1, 6-4
W#3 DoublesChandra Shanklin / Laura Sedory vs N/A6-0, 6-0
L#1 DoublesCymbria Jung / Molly McMahon vs Susan Novitsky / Maria Miguens0-6, 6-4, 0-1
L#2 DoublesCynthia Ottemann / Rini Stoltz vs Minsun Kim / Cindy Ni1-6, 1-6
L#3 DoublesSara Kemp / Chandra Shanklin vs Eun Yun / Jennifer Soderlind6-7, 2-6
L#1 DoublesCymbria Jung / Paige McNamara vs Beth Hoag - * / Felina Kelly3-6, 3-6
L#2 DoublesCynthia Ottemann / Jenny Sun vs Maria Miguens / Kym Man3-6, 4-6
L#3 DoublesLaura Sedory / April Taylor vs Jennifer Soderlind / Natalie Malinowski2-6, 3-6
L#1 DoublesCymbria Jung / Paige McNamara vs Beth Hoag - * / Felina Kelly3-6, 2-6
L#2 DoublesCynthia Ottemann / Suejung Han vs Maria Miguens / Stephanie Seiler4-6, 2-6
L#1 DoublesMolly McMahon / Cymbria Jung vs Susan Novitsky / Felina Kelly1-6, 4-6
L#2 DoublesCynthia Ottemann / Cara Boester vs Maria Miguens / Renee Brown5-7, 2-6
L#3 DoublesRini Stoltz / Jenna Sylvester vs Cindy Ni / Natalie Malinowski2-6, 1-6
L#1 DoublesCymbria Jung / Molly McMahon vs Rhoda Lewis / Sarah Kim2-6, 2-6
L#2 DoublesCynthia Ottemann / Chandra Shanklin vs Maria Miguens / Stephanie Seiler1-6, 0-6
L#3 DoublesJenna Sylvester / Suejung Han vs Kym Man / Natalie Malinowski1-6, 2-6
L#1 DoublesNatalie Brown / Paige McNamara vs Susan Novitsky / Molly Tracy1-6, 3-6
L#2 DoublesCara Boester / Jenny Sun vs Minsun Kim / Maria Miguens0-6, 0-6
L#3 DoublesJanet Hogan / Zariah Wherry vs Kym Man / Eun Yun0-6, 6-7
L#1 DoublesNatalie Brown / Paige McNamara vs Rhoda Lewis / Sarah Kim7-5, 2-6, 0-1
L#2 DoublesJenny Sun / Zariah Wherry vs Minsun Kim / Renee Brown1-6, 0-6
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 Women's Tri-Level 3.0
TeamWLInd. WInd. LSets lostGames lost
1MSIL 3.0/3.5/4.0 Tri-Level Brown-Champaign7120410145
2MSIL 3.0/3.5/4.0 Tri-Level McNamara-Bloomington1742040249

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 3.05 estimated across 10 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.

3.62
Paige McNamara
usually #1 Doubles 100% · published
3.48
Cymbria Jung
usually #1 Doubles 100% · published 4
3.45
Molly McMahon
usually #1 Doubles 100% · published 3.5
3.29
Cynthia Ottemann
usually #2 Doubles 100% · published 3.5
3.08
Cara Boester
usually #2 Doubles 100% · published 3.5
2.98
Chandra Shanklin
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
2.87
Laura Sedory
usually #3 Doubles 100% · published
2.75
Rini Stoltz
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.71
Suejung Han
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.31
Jenny Sun
usually #2 Doubles 100% · published
Janet Hogan
published
Jenna Sylvester
usually #3 Doubles 100% · published
Natalie Brown
published
Zariah Wherry
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.

Cymbria Jung + Molly McMahon044 matchesnot enough data
Cymbria Jung + Paige McNamara033 matchesnot enough data
Cynthia Ottemann + Cara Boester213 matchesnot enough data
Cara Boester + Chandra Shanklin123 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.

Paige McNamara
40W–60L career · 4 lines in 2025
20%80%<1%
3.62
4
Cymbria Jung
7W–34L career · 6 lines in 2025
56%44%<1%
3.48
3.5
Molly McMahon
38W–82L career · 4 lines in 2025
<1%64%36%
3.45
3.5
Cynthia Ottemann
133W–110L career · 6 lines in 2025
2%91%7%
3.29
3.5
Cara Boester
26W–65L career · 3 lines in 2025
27%73%<1%
3.08
3.5
Chandra Shanklin
50W–58L career · 3 lines in 2025
57%43%<1%
2.98
Laura Sedory
21W–7L career · 1 line in 2025
<1%82%17%
2.87
3
Rini Stoltz
33W–36L career · 2 lines in 2025
4%93%4%
2.75
Suejung Han
20W–22L career · 2 lines in 2025
6%92%2%
2.71
Jenny Sun
6W–21L career · 3 lines in 2025
91%9%<1%
2.31
Janet Hogan
44W–41L career · no lines in 2025
not enough data
Jenna Sylvester
2W–8L career · 2 lines in 2025
not enough data
Natalie Brown
12W–33L career · no lines in 2025
not enough data
Zariah Wherry
9W–19L career · 2 lines in 2025
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.