Teams

MI-Sims

2022 Adult 65 & Over · 7.0 Men

9 players · average NTRP 3.42 / NORTHWEST WASHINGTON

View scouting list →
Schedule9 played
2022-05-31vs CAC/SL-GilbertLost 03
L#1 DoublesJoseph Petrucci / Geoff Lieberman vs Gary Garside / Colin Bronemann0-6, 4-6
L#2 DoublesGregory Norden / John Banbury vs Joseph Ching / Daniel Martin0-6, 0-6
L#3 DoublesBrian Flaherty / Michael Gluck vs James Jovanovich / Mariano Ortiz Jr3-6, 6-4, 1-0
2022-05-20vs FC-PetersenSplit 11
W#1 DoublesWilliam Chapman / Joseph Petrucci vs Charles David Dizon / John Goodspeed7-6, 6-3
L#2 DoublesGeoff Lieberman / John Banbury vs Mike Helbach / Kris Petersen0-6, 3-6
2022-05-17vs HBSQ-CaprettoLost 12
W#1 DoublesWilliam Chapman / Brian Flaherty vs Nicholas Giordano / Richard Gustafson6-7, 6-3, 1-0
L#2 DoublesJoseph Petrucci / Michael Gluck vs Chris Staehli / Gordon Capretto2-6, 2-6
L#3 DoublesGregory Norden / Geoff Lieberman vs Nicholas Sherman / Daniel Wilkinson3-6, 4-6
2022-05-06vs BETC-IkedaLost 12
L#1 DoublesTom Feher / Gregory Norden vs Tony Shaheen / Stuart Thompson4-6, 1-6
L#2 DoublesJoseph Petrucci / Bob Sims vs Roy Higashi / Mark Weiser6-7, 4-6
W#3 DoublesGeoff Lieberman / James Sayre vs Bruce Colley / Roger Risch6-3, 7-5
2022-05-03vs RBW-Bowen/MarshWon 21
W#1 DoublesWilliam Chapman / Brian Flaherty vs Zachary Fu / Tom Walsh6-1, 6-0
L#2 DoublesBob Sims / Michael Gluck vs BOB BOWEN / Tee Yokobe4-6, 4-6
W#3 DoublesJames Sayre / Joseph Petrucci vs Hiroya Okawa / Simon Fu6-3, 6-4
2022-04-26vs WSC-PilawskiLost 12
W#1 DoublesMark Sinkey / William Chapman vs Michael Carlson / Galen Wickstrom6-2, 6-3
L#2 DoublesJames Sayre / Thomas Owens vs Peter Sefton / Jim Waters4-6, 1-6
L#3 DoublesJohn Banbury / Michael Gluck vs Gary Pilawski / Mike Gilkey1-6, 2-6
2022-04-21vs RBW-DoddLost 12
L#1 DoublesBob Sims / Gregory Norden vs Terry Coe / Steve Faloon4-6, 6-4, 0-1
L#2 DoublesMichael Gluck / William Chapman vs Terry Dodd / Larry Bienenfeld4-6, 2-6
W#3 DoublesGeoff Lieberman / James Sayre vs Jim McGinley / Douglas Scott6-1, 6-3
2022-04-11vs HBSQ-Hammers-AdeeLost 02
L#1 DoublesJames Sayre / Gregory Norden vs Gordon Williams / Bruce Adee2-6, 0-6
L#3 DoublesBob Sims / Fred Glick vs Jim Coghlan / John MacDonald0-6, 1-6
2022-04-05vs TCSP-PhillipsLost 12
L#1 DoublesMark Sinkey / Thomas Owens vs Alexander Friedrich / Bertrand de Boutray3-6, 7-5, 0-1
L#2 DoublesBob Sims / Geoff Lieberman vs Stevan Phillips / Steve Suzuki2-6, 2-6
W#3 DoublesMichael Gluck / Gregory Norden vs Wayne Kindsvogel / Yves Mizrahi6-3, 7-5
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 standings10 teams · 7.0 Men
TeamWLInd. WInd. LSets lostGames lost
1RBW-Dodd8120717192
2HBSQ-Hammers-Adee8121617177
3CAC/SL-Gilbert7220720199
4HBSQ-Capretto63161125225
5BETC-Ikeda54151227232
6WSC-Pilawski36111636251
7TCSP-Phillips36111638270
8RBW-Bowen/Marsh3681940286
9MI-Sims1881939278
10FC-Petersen1852246288

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 6 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.

3.46
William Chapman
usually #1 Doubles 80%, also #2 Doubles 20% · published
3.44
James Sayre
usually #3 Doubles 60%, also #1 Doubles 20% · published 3.5
3.30
Mark Sinkey
usually #1 Doubles 100% · published 3.5
Bob Sims
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
3.17
Joseph Petrucci
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.11
Gregory Norden
usually #1 Doubles 50%, also #3 Doubles 33% · published 3.5
2.69
Geoff Lieberman
usually #3 Doubles 50%, also #2 Doubles 33% · published 3
Brian Flaherty
usually #1 Doubles 67%, also #3 Doubles 33% · published
Michael Gluck
usually #2 Doubles 50%, also #3 Doubles 50% · 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.

Mark Sinkey + James Sayre5164% games+5.8% vs expected
Mark Sinkey + William Chapman6157% gamesnot enough data
James Sayre + Gregory Norden2347% gamesnot enough data
Geoff Lieberman + James Sayre224 matchesnot enough data
Geoff Lieberman + Gregory Norden123 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.

William Chapman
36W–17L career · 5 lines in 2022
63%37%<1%
3.46
3.5
James Sayre
29W–35L career · 5 lines in 2022
<1%67%33%
3.44
3.5
Mark Sinkey
29W–18L career · 2 lines in 2022
1%93%6%
3.30
3.5
Bob Sims
11W–21L career · 5 lines in 2022
not enough data
3.5
Joseph Petrucci
29W–49L career · 5 lines in 2022
10%90%1%
3.17
3.5
Gregory Norden
21W–34L career · 6 lines in 2022
21%79%<1%
3.11
3
Geoff Lieberman
33W–41L career · 6 lines in 2022
8%91%1%
2.69
Brian Flaherty
9W–9L career · 3 lines in 2022
not enough data
Michael Gluck
1W–7L career · 6 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.