Teams

MSIL 6.5 Fall Combo Mixed INFERNO SMASH

2025 Fall Combo Mixed · MSIL Fall Combo Mixed 6.5

15 players · average NTRP 3.39 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
W#1 DoublesErik Siembab / Tenley Banik vs Muthiah Muthukumar / Lisa Bennett6-3, 6-2
W#2 DoublesBrett Henneberg / Rini Stoltz vs Joe Martin / Erin Murray6-1, 6-3
L#1 DoublesShishir Pandey / April Taylor vs Emmanuel Velasco / Laura Sedory6-4, 2-6, 0-1
L#2 DoublesChristopher Golick / Chandra Shanklin vs Sonthana Thongsithavong - * / Sally Boland0-6, 1-6
W#3 DoublesCraig Conway / Tenley Banik vs Chris Ehrlich / Cay Ernst6-1, 6-3
W#1 DoublesBrett Henneberg / April Taylor vs Sean Miller / Lesha Threewit7-5, 6-2
W#2 DoublesJohn Delanois / Allison Bertsche vs Joshua Risinger / Ginny Kerwin7-5, 2-6, 1-0
L#3 DoublesNicholas Troehler / Cynthia Ottemann vs Anthony Pepe / Sally Boland6-4, 3-6, 1-0
L#1 DoublesNicholas Troehler / Cynthia Ottemann vs Sung Min Moon / Lisa Ainsworth5-7, 6-4, 0-1
L#2 DoublesBrett Henneberg / Sara Kemp vs Lijian Zhang / JOOYEN KIM2-6, 3-6
L#3 DoublesJohn Delanois / Allison Bertsche vs Noel Castro / Minsook Kim2-6, 4-6
L#1 DoublesRini Stoltz / Christopher Golick vs Belinda Rohn / Shekar Arcot0-6, 5-7
W#2 DoublesMarla Golden / Erik Siembab vs Lindsay Kiefer / Jason Mcgary6-4, 6-4
W#3 DoublesTenley Banik / Craig Conway vs Erin Murray / Joe Mulcahey6-4, 6-1
L#1 DoublesSara Kemp / Matt Lollar vs Chris Sarol / Minsook Kim2-6, 3-6
L#2 DoublesMarla Golden / Erik Siembab vs Caroline Cox / Alden Cheng3-6, 4-6
L#3 DoublesRini Stoltz / John Delanois vs JOOYEN KIM / Lijian Zhang5-7, 6-4, 0-1
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 standings4 teams · MSIL Fall Combo Mixed 6.5
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5 Fall Combo Mixed Wang-Champaign60171498
2MSIL 6.5 Fall Combo Mixed INFERNO SMASH4281021162
3MSIL 6.5 Fall Combo Mixed Burkard-Peoria1551326182
4MSIL 6.5 Fall Combo Mixed Hogan-Decatur1561228187

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 3.08 estimated across 12 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.

3.43
Brett Henneberg
usually #2 Doubles 57%, also #3 Doubles 29% · published 3.5
3.31
Cynthia Ottemann
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.26
Shishir Pandey
usually #1 Doubles 100% · published
Christopher Golick
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.25
Erik Siembab
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.23
Matt Lollar
usually #1 Doubles 100% · published
3.11
Craig Conway
usually #3 Doubles 100% · published 3.5
3.07
Marla Golden
usually #2 Doubles 100% · published 3.5
3.04
Nicholas Troehler
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.98
Chandra Shanklin
usually #2 Doubles 100% · published 3.5
2.80
Rini Stoltz
usually #1 Doubles 33%, also #3 Doubles 33% · published 3
2.74
Allison Bertsche
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.72
Suejung Han
published
John Delanois
usually #3 Doubles 57%, also #1 Doubles 29% · published
Tenley Banik
usually #3 Doubles 67%, also #1 Doubles 33% · 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.

Brett Henneberg + Rini Stoltz8258% gamesnot enough data
Craig Conway + Tenley Banik5453% gamesnot enough data
Christopher Golick + Rini Stoltz2340% gamesnot enough data
Erik Siembab + Rini Stoltz2343% gamesnot enough data
Marla Golden + Craig Conway044 matchesnot enough data
Suejung Han + Brett Henneberg404 matchesnot enough data
Brett Henneberg + Allison Bertsche404 matchesnot enough data
Chandra Shanklin + Nicholas Troehler134 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 · 7 lines in 2025
<1%70%30%
3.43
3.5
Cynthia Ottemann
133W–110L career · 2 lines in 2025
1%92%7%
3.31
Shishir Pandey
29W–26L career · 1 line in 2025
2%95%3%
3.26
3.5
Christopher Golick
10W–11L career · type M · 2 lines in 2025
not enough data
3.5
Erik Siembab
90W–95L career · 3 lines in 2025
3%95%2%
3.25
Matt Lollar
5W–22L career · 1 line in 2025
4%94%2%
3.23
3.5
Craig Conway
35W–57L career · 2 lines in 2025
19%81%<1%
3.11
3.5
Marla Golden
106W–135L career · 2 lines in 2025
30%70%<1%
3.07
Nicholas Troehler
16W–34L career · 2 lines in 2025
39%61%<1%
3.04
3.5
Chandra Shanklin
50W–58L career · 1 line in 2025
57%43%<1%
2.98
3
Rini Stoltz
34W–36L career · 3 lines in 2025
1%93%6%
2.80
3
Allison Bertsche
16W–23L career · 2 lines in 2025
3%94%2%
2.74
Suejung Han
18W–21L career · no lines in 2025
5%94%2%
2.72
John Delanois
29W–17L career · 7 lines in 2025
not enough data
Tenley Banik
17W–15L career · 3 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.