Teams

MSIL A40&O 3.5M Wang-Peoria

2024 MSIL Adult 40 & Over -MSIL West League · West MSIL A40 & Over 3.5M

13 players · average NTRP 3.50 / 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 →
Schedule8 played
2024-07-26vs MSIL A40&O 3.5M Mean MachineSplit 11
L#1 DoublesMichael Pershing / Patrick Chun vs Gregg Mecherle / Joseph McCarron5-7, 2-6
W#2 DoublesMadhu Reddy / Dan Martin vs Matt Lollar / Todd Kettering7-6, 7-6
2024-07-15vs MSIL A40&O 3.5M Mean MachineWon 21
W#1 DoublesErik Siembab / Shekar Arcot vs Shishir Pandey / Ignacio Cuevas3-6, 6-0, 1-0
L#1 SinglesRoger Bruere vs Chansun Shin2-6, 4-6
W#2 DoublesDan Martin / Patrick Chun vs Matt Lollar / Gregg Mecherle0-6, 6-4, 1-0
2024-06-24vs MSIL A40&O 3.5M Mean MachineWon 21
L#1 DoublesDan Martin / Paul Mathes vs Shishir Pandey / Todd Kettering2-6, 1-6
W#1 SinglesRoger Bruere vs Ignacio Cuevas6-2, 4-6, 1-0
W#2 DoublesFei Wang / Ming Liao vs Joseph McCarron / Matt Lollar6-7, 6-2, 1-0
2024-06-17vs MSIL A40&O 3.5M Mean MachineSplit 22
L#1 DoublesMichael Pershing / Patrick Chun vs Joseph McCarron / Mark Miller2-6, 1-6
W#1 SinglesDouglas Kinas vs Todd Kettering6-0, 6-2
L#2 DoublesRoger Bruere / Paul Mathes vs Gregg Mecherle / Craig Conway3-6, 6-1, 0-1
W#3 DoublesFei Wang / Ming Liao vs Ignacio Cuevas / Matt Lollar6-1, 6-7, 1-0
2024-06-10vs MSIL A40&O 3.5M Mean MachineLost 12
L#1 DoublesDan Martin / Paul Mathes vs Joseph McCarron / Mark Miller0-6, 3-6
W#2 DoublesDaniel Nix / Madhu Reddy vs Ravi Singhal / Shishir Pandey6-1, 6-2
L#3 DoublesMing Liao / Patrick Chun vs Matt Lollar / Todd Kettering3-6, 3-6
2024-06-03vs MSIL A40&O 3.5M Mean MachineWon 31
W#1 DoublesShekar Arcot / Daniel Nix vs Todd Kettering / Mark Miller6-4, 6-3
W#1 SinglesDouglas Kinas vs Ignacio Cuevas7-6, 6-4
L#2 DoublesDan Martin / Paul Mathes vs Shishir Pandey / Craig Conway1-6, 2-6
W#3 DoublesMadhu Reddy / Erik Siembab vs Joseph McCarron / Matt Lollar6-2, 6-1
2024-05-20vs MSIL A40&O 3.5M Mean MachineWon 21
W#1 DoublesRoger Bruere / Shekar Arcot vs Joseph McCarron / Shishir Pandey6-4, 6-1
W#2 DoublesDan Martin / Madhu Reddy vs Mark Miller / Lance Conklin3-6, 6-1, 1-0
L#3 DoublesPatrick Chun / Fei Wang vs Todd Kettering / Gregg Mecherle4-6, 7-6, 0-1
2024-05-13vs MSIL A40&O 3.5M Mean MachineSplit 22
W#1 DoublesMadhu Reddy / Shekar Arcot vs Todd Kettering / Shishir Pandey6-0, 6-1
W#1 SinglesRoger Bruere vs Ignacio Cuevas6-2, 6-3
L#2 DoublesDouglas Kinas / Daniel Nix vs Lance Conklin / Mark Miller2-6, 4-6
L#3 DoublesErik Siembab / Michael Pershing vs Gregg Mecherle / Matt Lollar1-6, 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 A40 & Over 3.5M
TeamWLInd. WInd. LSets lostGames lost
1MSIL A40&O 3.5M Wang-Peoria80191332252
2MSIL A40&O 3.5M Mean Machine08131940300

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 3.17 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.

3.40
Madhu Reddy
usually #2 Doubles 60%, also #3 Doubles 20% · published
Dan Martin
published 3.5
Daniel Nix
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.25
Erik Siembab
usually #1 Singles 38%, also #1 Doubles 25% · published 3.5
3.15
Shekar Arcot
usually #1 Doubles 100% · published
2.87
Joe Mulcahey
published
Douglas Kinas
usually #1 Singles 67%, also #2 Doubles 33% · published
Fei Wang
usually #3 Doubles 67%, also #2 Doubles 33% · published
Michael Pershing
usually #1 Doubles 67%, also #3 Doubles 33% · published
Ming Liao
published
Patrick Chun
usually #3 Doubles 40%, also #1 Doubles 40% · published
Paul Mathes
usually #1 Doubles 50%, also #2 Doubles 50% · published
Roger Bruere
usually #1 Singles 60%, also #1 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.

Shekar Arcot + Madhu Reddy6168% games+24.2% vs expected
Joe Mulcahey + Erik Siembab2637% games−17.6% vs expected
Fei Wang + Erik Siembab0539% gamesnot enough data
Dan Martin + Madhu Reddy404 matchesnot enough data
Douglas Kinas + Madhu Reddy213 matchesnot enough data
Ming Liao + Fei Wang123 matchesnot enough data
Erik Siembab + Michael Pershing123 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.

Madhu Reddy
48W–19L career · 5 lines in 2024
<1%75%25%
3.40
3.5
Dan Martin
17W–16L career · no lines in 2024
not enough data
3.5
Daniel Nix
8W–7L career · 3 lines in 2024
not enough data
3.5
Erik Siembab
90W–94L career · 8 lines in 2024
4%93%4%
3.25
Shekar Arcot
36W–23L career · 4 lines in 2024
14%86%1%
3.15
Joe Mulcahey
29W–59L career · no lines in 2024
<1%83%17%
2.87
Douglas Kinas
15W–9L career · 3 lines in 2024
not enough data
Fei Wang
18W–25L career · 3 lines in 2024
not enough data
Michael Pershing
10W–17L career · 3 lines in 2024
not enough data
Ming Liao
4W–5L career · no lines in 2024
not enough data
Patrick Chun
4W–8L career · 5 lines in 2024
not enough data
Paul Mathes
11W–17L career · 4 lines in 2024
not enough data
Roger Bruere
19W–10L career · 5 lines in 2024
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.