Teams

MSIL A18&O 3.0M Arns-Quincy

2022 MSIL Adult 18 & Over - MSIL West League · West MSIL A18 & Over 3.0M

9 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
W#1 DoublesJeremy Arns / Mike Wood vs John Webb / Steve Grady5-7, 6-1, 1-0
W#1 SinglesJames Peterson vs Bharat Kundnani6-2, 6-3
W#2 DoublesChao Wang / Mike Wilkin vs Michael Deighan / Ravi Singhal6-1, 7-5
L#2 SinglesJason Klinner vs Bob Clay2-6, 4-6
W#3 DoublesRandy DAVIS / Jim Shumake vs Joseph McCarron / Thomas Smith6-3, 6-1
2022-07-17vs MSIL A18&O 3.0M Singhal-BloomingtonSplit 22
W#1 DoublesJeremy Arns / Mike Wilkin vs John Webb / Bharat Kundnani6-3, 6-2
W#1 SinglesMike Wood vs Joseph McCarron6-4, 6-4
L#2 DoublesJames Peterson / Randy DAVIS vs Don Varghese / Steve Grady5-7, 3-6
L#3 DoublesJim Shumake / Jason Klinner vs Thomas Smith / Ravi Singhal0-6, 1-6
W#1 DoublesMike Wood / Chao Wang vs John Webb / Bryan Wagler6-2, 6-2
W#1 SinglesJames Peterson vs Bob Clay6-1, 6-1
L#2 DoublesJeremy Arns / David Lieber vs Ravi Singhal / Thomas Smith2-6, 6-2, 0-1
W#3 DoublesSteven Damm / Jim Shumake vs Steve Grady / Michael Deighan6-4, 6-1
W#1 DoublesJames Peterson / Jeremy Arns vs Bharat Kundnani / Ravi Singhal6-2, 6-2
W#1 SinglesSteven Damm vs Bob Clay6-4, 7-5
L#2 DoublesDavid Lieber / Chao Wang vs John Webb / Bryan Wagler3-6, 6-3, 0-1
W#3 DoublesJim Shumake / Mike Wood vs Michael Deighan / Steve Grady6-2, 6-1
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 standings2 teams · West MSIL A18 & Over 3.0M
TeamWLInd. WInd. LSets lostGames lost
1MSIL A18&O 3.0M Arns-Quincy4013715149
2MSIL A18&O 3.0M Singhal-Bloomington0471328190

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 2.80 estimated across 4 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.

3.04
Steven Damm
usually #3 Doubles 50%, also #1 Singles 50% · published
2.80
Randy DAVIS
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.75
Jim Shumake
usually #3 Doubles 100% · published
David Lieber
usually #2 Doubles 100% · published 3
James Peterson
usually #1 Singles 50%, also #1 Doubles 25% · published 3
2.61
Jeremy Arns
usually #1 Doubles 75%, also #2 Doubles 25% · published
Jason Klinner
usually #2 Singles 50%, also #3 Doubles 50% · published
Mike Wilkin
usually #2 Doubles 50%, also #1 Doubles 50% · published
Mike Wood
usually #1 Doubles 50%, also #3 Doubles 25% · 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.

Jim Shumake + Randy DAVIS4158% gamesnot enough data
Jeremy Arns + Mike Wilkin314 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.

Steven Damm
12W–12L career · 2 lines in 2022
38%62%<1%
3.04
Randy DAVIS
9W–5L career · 2 lines in 2022
1%93%6%
2.80
Jim Shumake
12W–7L career · 4 lines in 2022
3%95%3%
2.75
3
David Lieber
3W–6L career · 2 lines in 2022
not enough data
3
James Peterson
4W–5L career · type S · 4 lines in 2022
not enough data
Jeremy Arns
10W–14L career · 4 lines in 2022
19%81%<1%
2.61
Jason Klinner
3W–9L career · 2 lines in 2022
not enough data
Mike Wilkin
6W–7L career · 2 lines in 2022
not enough data
Mike Wood
5W–3L career · 4 lines in 2022
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.