Teams

MSIL 5.5 Mixed Combo Stoltz-Bloomington

2023 Fall Combo Mixed · 5.5 Mixed Combo 2

14 players · average NTRP 3.10 / MID-SOUTH ILLINOIS

View scouting list →
Schedule6 played
2023-11-12vs MSIL 5.5 Mixed Combo Hogan-DecaturLost 12
L#1 DoublesBill Poorman / Jenny Sun vs Bob Lyons / Amy Armstrong0-6, 1-6
W#2 DoublesBrett Henneberg / Rini Stoltz vs Brian Cleary / Amy Cleary5-7, 6-4, 1-0
L#3 DoublesSteve Grady / Lesha Threewit vs RJ Podeschi / Kara Knepp2-6, 3-6
2023-11-12vs MSIL 5.5 Mixed Combo Hogan-DecaturLost 02
L#1 DoublesBrett Henneberg / Rini Stoltz vs Bob Lyons / Amy Armstrong6-4, 3-6, 1-0
L#2 DoublesNicholas Troehler / Jenny Sun vs RJ Podeschi / Kara Knepp3-6, 2-6
2023-11-05vs MSIL 5.5 Mixed Combo Hogan-DecaturLost 03
L#1 DoublesErik Siembab / Angelia Neeley vs Loretta Hedges / Ted Norbits3-6, 6-3, 0-1
L#2 DoublesRavi Singhal / Lesha Threewit vs Brian Cleary / Amy Cleary1-6, 7-6, 0-1
L#3 DoublesNicholas Troehler / Rini Stoltz vs Megan Comerford / Bob Lyons2-6, 2-6
2023-11-05vs MSIL 5.5 Mixed Combo Hogan-DecaturLost 12
L#1 DoublesKeith Evans / Lesha Threewit vs Loretta Hedges / Ted Norbits3-6, 4-6
W#2 DoublesRavi Singhal / Kirsten Evans vs Amy Cleary / Brian Cleary1-6, 7-6, 1-0
L#3 DoublesSteve Grady / Angelia Neeley vs Megan Comerford / Brian Anselmo2-6, 1-6
2023-09-24vs MSIL 5.5 Mixed Combo Hogan-DecaturLost 12
L#1 DoublesKristen Levine / Brett Henneberg vs Megan Comerford / Brian Anselmo3-6, 4-6
W#2 DoublesRini Stoltz / Nicholas Troehler vs Amy Cleary / Donald Miller7-5, 2-6, 1-0
L#3 DoublesMargaret Poorman / Bill Poorman vs Mandi Podeschi / RJ Podeschi4-6, 1-6
2023-09-24vs MSIL 5.5 Mixed Combo Hogan-DecaturLost 12
W#1 DoublesNicholas Troehler / Kirsten Evans vs Brian Anselmo / Megan Comerford6-4, 3-6, 1-0
L#2 DoublesBill Poorman / Margaret Poorman vs Donald Miller / Janet Hogan3-6, 0-6
L#3 DoublesKeith Evans / Angelia Neeley vs RJ Podeschi / Mandi Podeschi2-6, 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 · 5.5 Mixed Combo 2
TeamWLInd. WInd. LSets lostGames lost
1MSIL 5.5 Mixed Combo Hogan-Decatur000000
2MSIL 5.5 Mixed Combo Stoltz-Bloomington000000

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 2.90 estimated across 7 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 #2 Doubles 33% · published 3.5
3.25
Erik Siembab
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
3.04
Nicholas Troehler
usually #2 Doubles 50%, also #3 Doubles 25% · published
2.86
Bill Poorman
usually #1 Doubles 33%, also #2 Doubles 33% · published 3
2.80
Rini Stoltz
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.60
Angelia Neeley
usually #3 Doubles 67%, also #1 Doubles 33% · published 2.5
2.32
Jenny Sun
usually #2 Doubles 50%, also #1 Doubles 50% · published
Keith Evans
usually #3 Doubles 50%, also #1 Doubles 50% · published
Kirsten Evans
usually #1 Doubles 50%, also #2 Doubles 50% · published
Kristen Levine
usually #1 Doubles 100% · published
Lesha Threewit
usually #3 Doubles 33%, also #2 Doubles 33% · published
Margaret Poorman
usually #2 Doubles 50%, also #3 Doubles 50% · published
Ravi Singhal
usually #2 Doubles 100% · published
Steve Grady
usually #3 Doubles 80%, also #2 Doubles 20% · 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
Erik Siembab + Angelia Neeley4254% gamesnot enough data
Bill Poorman + Margaret Poorman2345% gamesnot enough data
Erik Siembab + Rini Stoltz2343% gamesnot enough data
Rini Stoltz + Nicholas Troehler134 matchesnot enough data
Ravi Singhal + Lesha Threewit033 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 · 6 lines in 2023
<1%70%30%
3.43
3.5
Erik Siembab
90W–95L career · 3 lines in 2023
3%95%2%
3.25
Nicholas Troehler
16W–34L career · 4 lines in 2023
39%61%<1%
3.04
3
Bill Poorman
24W–29L career · 3 lines in 2023
<1%86%14%
2.86
3
Rini Stoltz
34W–36L career · 4 lines in 2023
1%93%6%
2.80
2.5
Angelia Neeley
21W–30L career · 3 lines in 2023
0%23%77%
2.60
Jenny Sun
6W–21L career · 2 lines in 2023
92%8%<1%
2.32
Keith Evans
0W–3L career · 2 lines in 2023
not enough data
Kirsten Evans
5W–6L career · 2 lines in 2023
not enough data
Kristen Levine
0W–1L career · 1 line in 2023
not enough data
Lesha Threewit
5W–21L career · 3 lines in 2023
not enough data
Margaret Poorman
3W–12L career · 2 lines in 2023
not enough data
Ravi Singhal
34W–34L career · 2 lines in 2023
not enough data
Steve Grady
22W–49L career · 5 lines in 2023
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.