Teams

CDTA S 55&O 8.0M Lake Bluff Pew Sun 6 $20

CDTA Summer Adult 55 & Over WN · WE

18 players · average NTRP 3.94 / CHICAGO

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
W#1 DoublesChris Boruff / Randy Curtis vs Robert Wheeler III / John Reece6-1, 6-2
L#2 DoublesChuck Blumenthal / Dean Stermer vs Patrick Seermon / Bob Bean1-6, 1-6
W#2 DoublesChris Boruff / Gregory Adams vs Tom Sweeney / Craig Zeigler6-1, 6-3
W#3 DoublesCarl Good / Jeff Skummer vs Thomas Williams / Paul Kessenich6-3, 6-3
L#2 DoublesChuck Blumenthal / Jeff Skummer vs Bruce Thornquist / Scott Modica4-6, 5-7
L#3 DoublesCarl Good / Dean Stermer vs Robert Wheeler III / Ira Lathan4-6, 7-6, 1-0
W#2 DoublesGregory Adams / Chris Boruff vs Paul Kessenich / John Crowe6-2, 6-1
W#3 DoublesDavid Chopp / Michael Bryant vs Viji John / William Kao6-3, 7-6
W#2 DoublesChris Boruff / Carl Good vs Scott Modica / Harinath Rachapalli6-2, 7-6
W#2 DoublesChris Boruff / Carl Good vs Damian Marshall / Craig Zeigler6-3, 6-4
W#1 DoublesRandy Curtis / Thomas Gilbertson vs James Cohick / William Kao7-5, 6-2
W#3 DoublesMichael Bryant / David Chopp vs Steve Yoon / Thomas Williams6-3, 6-2
W#1 DoublesJay Freedman / Thomas Gilbertson vs Jay Goldner / John Reece6-3, 6-3
L#3 DoublesJohn Griffin / Gregory Adams vs Bob Bean / Ira Lathan4-6, 6-2, 0-1
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 standings3 teams · WE
TeamWLInd. WInd. LSets lostGames lost
1CDTA S 55&O 8.0M Lake Bluff Pew Sun 6 $207119510164
2CDTA S 55&O 8.0M Naperville Esancy Mon 7 $2035111330240
3CDTA S 55&O 8.0M Centre Court Cohick Sun 2 $202661836228

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 3.62 estimated across 9 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.

4.25
Chip Pew
published 4.5
3.86
Jay Freedman
usually #1 Doubles 75%, also #3 Doubles 13% · published
3.77
David Chopp
published 4
3.76
Chris Boruff
usually #2 Doubles 80%, also #1 Doubles 20% · published 4
Carl Good
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.63
Chuck Blumenthal
usually #2 Doubles 100% · published 4
3.58
Craig Hagerman
published 4
3.55
Gregory Adams
usually #3 Doubles 60%, also #2 Doubles 40% · published 4
3.37
Dean Stermer
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
2.84
Jeff Skummer
usually #3 Doubles 80%, also #2 Doubles 20% · published
John Griffin
usually #3 Doubles 100% · published
Michael Bryant
usually #3 Doubles 100% · published
Peter Krizman
usually #1 Doubles 50%, also #2 Doubles 50% · published
Randy Curtis
usually #1 Doubles 90%, also #2 Doubles 10% · published
Richard McLean
usually #2 Doubles 57%, also #3 Doubles 29% · published
Rob Hopkins
usually #3 Doubles 50%, also #2 Doubles 38% · published
Thomas Gilbertson
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.

Chip Pew + William Strickley5255% games+0.8% vs expected
Carl Good + David Chopp11336% games−8.5% vs expected
Chip Pew + Jay Freedman10855% gamesnot enough data
Randy Curtis + Jay Freedman10459% gamesnot enough data
David Chopp + Michael Bryant10163% gamesnot enough data
Rob Hopkins + Richard McLean5458% gamesnot enough data
Thomas Gilbertson + Jay Freedman5362% gamesnot enough data
David Chopp + Jeff Skummer8064% gamesnot 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.

4.5
Chip Pew
84W–58L career · no lines in 2022
3%95%3%
4.25
Jay Freedman
92W–63L career · 8 lines in 2022
<1%86%14%
3.86
4
David Chopp
148W–121L career · no lines in 2022
2%94%4%
3.77
4
Chris Boruff
93W–42L career · 5 lines in 2022
2%94%3%
3.76
4
Carl Good
24W–28L career · 4 lines in 2022
not enough data
4
Chuck Blumenthal
50W–42L career · 2 lines in 2022
15%84%<1%
3.63
4
Craig Hagerman
100W–108L career · no lines in 2022
27%73%<1%
3.58
4
Gregory Adams
29W–60L career · type A · 5 lines in 2022
34%66%<1%
3.55
4
Dean Stermer
13W–36L career · 2 lines in 2022
85%15%<1%
3.37
3
William Strickley
116W–134L career · type A · no lines in 2022
<1%89%11%
2.84
Jeff Skummer
90W–79L career · 5 lines in 2022
not enough data
John Griffin
25W–16L career · 1 line in 2022
not enough data
Michael Bryant
18W–16L career · 2 lines in 2022
not enough data
Peter Krizman
55W–33L career · 6 lines in 2022
not enough data
Randy Curtis
65W–41L career · 10 lines in 2022
not enough data
Richard McLean
153W–95L career · 7 lines in 2022
not enough data
Rob Hopkins
60W–43L career · 8 lines in 2022
not enough data
Thomas Gilbertson
53W–26L 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.