Teams

MSIL Mixed 18&O 6.0 Stoltz-Bloomington

2024 MSIL Mixed 18 & Over - MSIL West League · West MSIL Mixed 18 & Over 6.0

12 players · average NTRP 3.29 / 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 →
Schedule6 played
2024-07-28vs MSIL Mixed 18&O 6.0 Hogan-DecaturLost 12
L#1 DoublesNicholas Troehler / Stephanie Seiler vs Erik Siembab / Ginny Kerwin0-6, 4-6
W#2 DoublesBrett Henneberg / Allison Bertsche vs Thomas Sanner / Megan Comerford6-2, 7-6
L#3 DoublesChansun Shin / Sara Kemp vs Sally Boland / Donald Miller6-2, 2-6, 0-1
2024-07-28vs MSIL Mixed 18&O 6.0 Hogan-DecaturSplit 11
W#2 DoublesStephanie Seiler / Joseph McCarron vs Thomas Sanner / Megan Comerford6-4, 6-3
L#3 DoublesSara Kemp / Chansun Shin vs Sally Boland / Donald Miller6-4, 4-6, 0-1
2024-07-07vs MSIL Mixed 18&O 6.0 Hogan-DecaturWon 20
W#1 DoublesNicholas Troehler / Darla Bruder-Goodlick vs Joshua Risinger / Amy Ulrich2-6, 6-2, 1-0
W#3 DoublesChansun Shin / Sara Kemp vs Donald Miller / Amy Armstrong6-4, 6-1
2024-07-07vs MSIL Mixed 18&O 6.0 Hogan-DecaturWon 30
W#1 DoublesBrett Henneberg / Suejung Han vs Joshua Risinger / Amy Ulrich6-3, 6-4
W#2 DoublesNicholas Troehler / Stephanie Seiler vs Ben Wyckoff / Amy Armstrong6-2, 2-6, 1-0
W#3 DoublesJoseph McCarron / Darla Bruder-Goodlick vs Donald Miller / Kara Knepp6-1, 6-4
2024-06-22vs MSIL Mixed 18&O 6.0 Hogan-DecaturLost 12
L#1 DoublesRavi Singhal / Lesha Threewit vs Donald Miller / Sally Boland3-6, 2-6
L#2 DoublesNicholas Troehler / Chandra Shanklin vs Joshua Risinger / Kara Knepp3-6, 6-4, 0-1
W#3 DoublesBrett Henneberg / Suejung Han vs Ben Wyckoff / Janet Hogan6-0, 6-1
2024-06-22vs MSIL Mixed 18&O 6.0 Hogan-DecaturLost 12
L#1 DoublesRavi Singhal / Lesha Threewit vs Joshua Risinger / Kara Knepp2-6, 3-6
L#2 DoublesNicholas Troehler / Rini Stoltz vs Sally Boland / Donald Miller4-6, 3-6
W#3 DoublesBrett Henneberg / Allison Bertsche vs Ben Wyckoff / Ginny Kerwin4-6, 7-6, 1-0
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 standings2 teams · West MSIL Mixed 18 & Over 6.0
TeamWLInd. WInd. LSets lostGames lost
1MSIL Mixed 18&O 6.0 Hogan-Decatur4281023174
2MSIL Mixed 18&O 6.0 Stoltz-Bloomington2410819163

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 2.95 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.

3.37
Brett Henneberg
usually #2 Doubles 44%, also #1 Doubles 33% · published 3.5
3.26
Stephanie Seiler
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.07
Joseph McCarron
usually #2 Doubles 43%, also #3 Doubles 29% · published
3.02
Nicholas Troehler
usually #2 Doubles 60%, also #1 Doubles 40% · published
3.00
Chansun Shin
usually #3 Doubles 100% · published 3.5
2.98
Chandra Shanklin
usually #1 Doubles 75%, also #2 Doubles 25% · published 3.5
2.75
Rini Stoltz
usually #2 Doubles 100% · published 3
2.74
Allison Bertsche
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.71
Suejung Han
usually #3 Doubles 50%, also #1 Doubles 50% · published
2.60
Darla Bruder-Goodlick
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
Lesha Threewit
usually #1 Doubles 100% · published
Ravi Singhal
usually #1 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.

Stephanie Seiler + Nicholas Troehler6450% games−13.4% vs expected
Suejung Han + Chansun Shin6452% gamesnot enough data
Brett Henneberg + Rini Stoltz8258% gamesnot enough data
Rini Stoltz + Nicholas Troehler2337% gamesnot enough data
Stephanie Seiler + Joseph McCarron404 matchesnot enough data
Suejung Han + Brett Henneberg404 matchesnot enough data
Brett Henneberg + Allison Bertsche404 matchesnot enough data
Chandra Shanklin + Joseph McCarron314 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
Brett Henneberg
61W–44L career · 9 lines in 2024
<1%82%18%
3.37
3.5
Stephanie Seiler
76W–62L career · 4 lines in 2024
3%93%4%
3.26
Joseph McCarron
54W–59L career · 7 lines in 2024
<1%30%70%
3.07
Nicholas Troehler
19W–36L career · 5 lines in 2024
44%56%<1%
3.02
3.5
Chansun Shin
11W–10L career · 3 lines in 2024
51%49%<1%
3.00
3.5
Chandra Shanklin
50W–58L career · 4 lines in 2024
57%43%<1%
2.98
3
Rini Stoltz
33W–36L career · 2 lines in 2024
4%93%4%
2.75
3
Allison Bertsche
14W–22L career · 2 lines in 2024
5%92%3%
2.74
Suejung Han
20W–22L career · 2 lines in 2024
6%92%2%
2.71
3
Darla Bruder-Goodlick
22W–40L career · 2 lines in 2024
24%76%<1%
2.60
Lesha Threewit
5W–21L career · 2 lines in 2024
not enough data
Ravi Singhal
28W–42L career · 2 lines in 2024
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.