Teams

MSIL 3.5M A40&O Mean Machine

2022 MSIL Adult 40 & Over -MSIL West League · West MSIL A40 & Over 3.5M

8 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 →
Schedule7 played
2022-07-25vs MSIL 3.5M A40&O Wang-PeoriaWon 31
L#1 DoublesThomas Smith / Ravi Singhal vs Douglas Kinas / Madhu Reddy1-6, 1-6
W#1 SinglesCraig Conway vs Fei Wang6-3, 6-4
W#2 DoublesDon Varghese / Douglas Hundman vs Erik Siembab / Joe Mulcahey6-3, 7-6
W#3 DoublesMark Miller / Todd Kettering vs Thuy Le / Ming Liao6-2, 2-6, 1-0
2022-07-11vs MSIL 3.5M A40&O Wang-PeoriaWon 31
W#1 DoublesCraig Conway / Tod Nicholls vs Erik Siembab / Joe Mulcahey6-1, 6-2
L#1 SinglesJoseph McCarron vs Douglas Kinas6-1, 4-6, 0-1
W#2 DoublesDouglas Hundman / Gregg Mecherle vs Madhu Reddy / James Davis6-4, 6-4
W#3 DoublesTodd Kettering / Don Varghese vs Michael Pershing / Fei Wang6-3, 6-4
2022-06-20vs MSIL 3.5M A40&O Wang-PeoriaWon 31
W#1 DoublesJoseph McCarron / Ravi Singhal vs Thuy Le / Joe Mulcahey2-6, 6-4, 1-0
L#1 SinglesCraig Conway vs Sabari Giri0-6, 2-6
W#2 DoublesMark Miller / Don Varghese vs Ming Liao / Xuefeng SONG6-2, 4-6, 1-0
W#3 DoublesTodd Kettering / Gregg Mecherle vs Fei Wang / Michael Pershing6-3, 6-3
2022-06-13vs MSIL 3.5M A40&O Wang-PeoriaSplit 22
L#1 DoublesDavid Martin / Ravi Singhal vs Sabari Giri / Michael Pershing1-6, 4-6
L#1 SinglesJoseph McCarron vs Xuefeng SONG4-6, 2-6
W#2 DoublesMark Miller / Don Varghese vs Fei Wang / Ming Liao6-0, 6-1
W#3 DoublesTodd Kettering / Gregg Mecherle vs Thuy Le / James Davis6-2, 6-3
2022-06-06vs MSIL 3.5M A40&O Wang-PeoriaLost 13
L#1 DoublesMark Miller / Todd Kettering vs Douglas Kinas / Madhu Reddy3-6, 5-7
L#1 SinglesCraig Conway vs Sabari Giri3-6, 0-3
L#2 DoublesRavi Singhal / Joseph McCarron vs Thuy Le / Joe Mulcahey5-7, 4-6
W#3 DoublesDon Varghese / Gregg Mecherle vs James Davis / Ming Liao5-7, 6-4, 1-0
2022-05-16vs MSIL 3.5M A40&O Wang-PeoriaLost 13
L#1 DoublesGregg Mecherle / Todd Kettering vs Sabari Giri / Erik Siembab4-6, 7-6, 0-1
W#1 SinglesCraig Conway vs Xuefeng SONG7-5, 6-1
L#2 DoublesDon Varghese / David Martin vs Madhu Reddy / Joe Mulcahey6-7, 5-7
L#3 DoublesJoseph McCarron / Thomas Smith vs Fei Wang / Thuy Le2-6, 1-6
2022-05-11vs MSIL 3.5M A40&O Wang-PeoriaSplit 22
L#1 DoublesTod Nicholls / Thomas Smith vs Sabari Giri / Ming Liao1-6, 1-6
L#1 SinglesJoseph McCarron vs Xuefeng SONG1-6, 1-6
W#2 DoublesTodd Kettering / Ravi Singhal vs James Davis / Michael Pershing3-6, 7-6, 1-0
W#3 DoublesCraig Conway / Don Varghese vs Erik Siembab / Fei Wang6-3, 6-0
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 3.5M A40&O Mean Machine6120821200
2MSIL 3.5M A40&O Wang-Peoria1682041285

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 3.19 estimated across 5 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
Douglas Hundman
usually #2 Doubles 100% · published 3.5
3.33
Gregg Mecherle
usually #3 Doubles 60%, also #2 Doubles 20% · published 3.5
Don Varghese
usually #2 Doubles 57%, also #3 Doubles 43% · published 3.5
3.11
Craig Conway
usually #1 Singles 67%, also #3 Doubles 17% · published 3.5
3.11
Joseph McCarron
usually #1 Singles 50%, also #2 Doubles 17% · published
2.99
Todd Kettering
usually #3 Doubles 57%, also #1 Doubles 29% · published
Ravi Singhal
usually #1 Doubles 60%, also #2 Doubles 40% · published
Tod Nicholls
usually #1 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.

Gregg Mecherle + Todd Kettering314 matchesnot enough data
Todd Kettering + Joseph McCarron044 matchesnot enough data
Gregg Mecherle + Joseph McCarron213 matchesnot enough data
Ravi Singhal + Joseph McCarron123 matchesnot enough data
Tod Nicholls + Craig Conway303 matchesnot enough data
Todd Kettering + Craig Conway033 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
Douglas Hundman
19W–5L career · 2 lines in 2022
<1%78%22%
3.40
3.5
Gregg Mecherle
22W–20L career · 5 lines in 2022
1%90%10%
3.33
3.5
Don Varghese
16W–12L career · 7 lines in 2022
not enough data
3.5
Craig Conway
35W–57L career · 6 lines in 2022
19%81%<1%
3.11
Joseph McCarron
53W–55L career · 6 lines in 2022
<1%21%79%
3.11
Todd Kettering
33W–48L career · 7 lines in 2022
52%48%<1%
2.99
Ravi Singhal
34W–34L career · 5 lines in 2022
not enough data
Tod Nicholls
45W–20L career · 2 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.