Teams

MSIL Mixed 18&O 6.0 ALLEY CATS

2026 MSIL Mixed 18 & Over - MSIL West League · West MSIL Mixed 18 & Over 6.0

8 players · average NTRP 3.00 / 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 →
Schedule4 played
2026-08-09vs MSIL Mixed 18&O 6.0 INFERNO SMASHLost 03
L#1 DoublesMatt Lollar / Lily Young vs Thomas Sanner / Brittany Pope6-4, 5-7, 0-1
L#2 DoublesJoe Mulcahey / Leslie Hartman vs Joseph McCarron / Stephanie Tresslar2-6, 3-6
L#3 DoublesThomas Smith / Lesha Threewit vs Doug Ellerman / Allison Bergh2-6, 3-6
2026-08-09vs MSIL Mixed 18&O 6.0 INFERNO SMASHLost 03
L#1 DoublesJoe Mulcahey / Lily Young vs Thomas Sanner / Stephanie Tresslar5-7, 2-6
L#2 DoublesRon Ferris / Leslie Hartman vs JONATHAN BECK / Brittany Pope2-6, 1-6
L#3 DoublesThomas Hill / Lesha Threewit vs Chris Burkard / Allison Bergh4-6, 2-6
2026-07-11vs MSIL Mixed 18&O 6.0 INFERNO SMASHLost 01
L#2 DoublesRon Ferris / Taylor Liccar vs Philip Woodrum / April Taylor6-7, 4-6
2026-07-11vs MSIL Mixed 18&O 6.0 INFERNO SMASHLost 01
L#2 DoublesRon Ferris / Lily Young vs Doug Ellerman / April Taylor3-6, 3-6
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 · West MSIL Mixed 18 & Over 6.0
TeamWLInd. WInd. LSets lostGames lost
1MSIL Mixed 18&O 6.0 INFERNO SMASH40111379
2MSIL Mixed 18&O 6.0 ALLEY CATS0411122139

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 2.89 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.

3.25
Erik Siembab
usually #1 Doubles 33%, also #3 Doubles 33% · published 3.5
3.24
Matt Lollar
usually #2 Doubles 33%, also #1 Doubles 33% · published
3.00
Ron Ferris
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.88
Leslie Hartman
usually #2 Doubles 100% · published
2.87
Joe Mulcahey
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.57
Kara Knepp
usually #3 Doubles 100% · published 3
2.46
Lesha Threewit
usually #3 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.

Kara Knepp + Joe Mulcahey6448% games−5.7% vs expected
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
Erik Siembab
90W–94L career · 9 lines in 2026
4%93%4%
3.25
Matt Lollar
5W–21L career · 3 lines in 2026
4%92%3%
3.24
Ron Ferris
10W–11L career · 6 lines in 2026
<1%50%50%
3.00
Leslie Hartman
15W–6L career · 2 lines in 2026
<1%81%19%
2.88
Joe Mulcahey
29W–59L career · 2 lines in 2026
<1%83%17%
2.87
3
Kara Knepp
55W–60L career · 2 lines in 2026
31%69%<1%
2.57
2.5
Damodhar Vaddepallii
3W–7L career · type S · no lines in 2026
0%61%39%
2.46
Lesha Threewit
5W–21L career · 2 lines in 2026
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.