Teams

MSIL 6.5 Combo Mixed Stoltz-Bloomington

2025 Combo Mixed · MSIL 6.5 Combo Mixed

14 players · average NTRP 3.33 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
W#1 DoublesBrett Henneberg / Rini Stoltz vs Jose Gonzalez / Kara Knepp6-2, 6-7, 1-0
L#2 DoublesBill Poorman / Cara Boester vs Shekar Arcot / Kristen Burkard1-6, 3-6
L#3 DoublesErik Siembab / Suejung Han vs Joe Martin / Lisa Bennett5-7, 0-6
2025-04-13vs MSIL 6.5 Combo Mixed Hogan-DecaturLost 03
L#1 DoublesChristopher Golick / Sara Kemp vs Sean Miller / Laura Sedory5-7, 4-6
L#2 DoublesSteve Grady / Chandra Shanklin vs Lijian Zhang / JOOYEN KIM1-6, 1-6
L#3 DoublesNicholas Troehler / Cara Boester vs Sonthana Thongsithavong / Laura Sonnichsen3-6, 1-6
W#1 DoublesBrett Henneberg / Rini Stoltz vs Joe Mulcahey / Lisa Bennett6-3, 4-6, 1-0
L#2 DoublesSteve Grady / SUSAN HARRINGTON vs Douglas Kinas / Belinda Rohn4-6, 1-6
W#3 DoublesErik Siembab / Allison Bertsche vs Joe Martin / Kristen Burkard6-1, 6-1
2025-03-09vs MSIL 6.5 Combo Mixed Hogan-DecaturLost 12
L#1 DoublesJoseph McCarron / Allison Bertsche vs Lijian Zhang / JOOYEN KIM2-6, 3-6
L#2 DoublesChristopher Golick / Sara Kemp vs Sonthana Thongsithavong / Sally Boland0-6, 1-6
W#3 DoublesBrett Henneberg / Rini Stoltz vs Mihai Mihailescu / Michelle Pulce-Flynn6-2, 3-6, 1-0
2025-02-15vs MSIL 6.5 Combo Mixed Hogan-DecaturLost 12
L#1 DoublesJoseph McCarron / Cara Boester vs Lijian Zhang / JOOYEN KIM1-6, 3-6
L#2 DoublesNicholas Troehler / Chandra Shanklin vs Sean Miller / Laura Sedory1-6, 1-6
W#3 DoublesChansun Shin / Suejung Han vs Mihai Mihailescu / Michelle Pulce-Flynn6-4, 6-2
W#1 DoublesChansun Shin / Suejung Han vs Erin Murray / Ben Wyckoff6-2, 6-0
L#2 DoublesBrett Henneberg / SUSAN HARRINGTON vs Shekar Arcot / Kristen Burkard3-6, 5-7
L#3 DoublesBill Poorman / Chandra Shanklin vs Douglas Kinas / Belinda Rohn4-6, 2-6
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 standings3 teams · MSIL 6.5 Combo Mixed
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5 Combo Mixed Hogan-Decatur5113512121
2MSIL 6.5 Combo Mixed Burkard/Knepp-Peoria3381023178
3MSIL 6.5 Combo Mixed Stoltz-Bloomington1561227183

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 3.00 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.

3.43
Brett Henneberg
usually #1 Doubles 50%, also #3 Doubles 38% · published 3.5
Christopher Golick
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
3.25
Erik Siembab
usually #3 Doubles 100% · published 3.5
3.11
Joseph McCarron
usually #1 Doubles 100% · published
3.08
Cara Boester
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.04
Nicholas Troehler
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.00
Chansun Shin
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
2.98
Chandra Shanklin
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
2.86
Bill Poorman
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.80
Rini Stoltz
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.74
Allison Bertsche
usually #1 Doubles 50%, also #3 Doubles 50% · published 3
2.72
Suejung Han
usually #3 Doubles 67%, also #1 Doubles 33% · published
SUSAN HARRINGTON
usually #2 Doubles 100% · published
Steve Grady
usually #2 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.

Suejung Han + Chansun Shin6452% gamesnot enough data
Brett Henneberg + Rini Stoltz8258% gamesnot enough data
Christopher Golick + Rini Stoltz2340% gamesnot enough data
Erik Siembab + Rini Stoltz2343% gamesnot enough data
Suejung Han + Brett Henneberg404 matchesnot enough data
Brett Henneberg + Allison Bertsche404 matchesnot enough data
Chandra Shanklin + Joseph McCarron314 matchesnot enough data
Chandra Shanklin + Steve Grady044 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 · 8 lines in 2025
<1%70%30%
3.43
3.5
Christopher Golick
10W–11L career · type M · 2 lines in 2025
not enough data
3.5
Erik Siembab
90W–95L career · 2 lines in 2025
3%95%2%
3.25
Joseph McCarron
53W–55L career · 2 lines in 2025
<1%21%79%
3.11
3.5
Cara Boester
26W–65L career · 3 lines in 2025
26%74%<1%
3.08
Nicholas Troehler
16W–34L career · 2 lines in 2025
39%61%<1%
3.04
3.5
Chansun Shin
11W–10L career · 2 lines in 2025
50%50%<1%
3.00
3.5
Chandra Shanklin
50W–58L career · 3 lines in 2025
57%43%<1%
2.98
3
Bill Poorman
24W–29L career · 2 lines in 2025
<1%86%14%
2.86
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 · 3 lines in 2025
5%94%2%
2.72
SUSAN HARRINGTON
4W–5L career · 2 lines in 2025
not enough data
Steve Grady
22W–49L 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.