Teams

STL/Shouldis/55&Over7.0X

2025 Mixed 55 & Over · 7.0 Combined

14 players · average NTRP 3.50 / ST. LOUIS

View scouting list →
Schedule6 played
2025-10-01vs Mixed Bag (Shouldis)Won 30
W#1 DoublesMartina Augsburger / William Dannevik vs David Lang / Kathy Wennemann6-1, 6-1
W#2 DoublesPatricia Fry / Nicholas Damato vs Richard Dickerson / Lolly Cottrell7-5, 6-3
W#3 DoublesLori Divin / Sam Shouldis vs Kurt Feigley / Ann Grassle6-4, 6-4
2025-09-30vs Mixed Bag (Shouldis)Won 30
W#1 DoublesMartina Augsburger / Thomas Wheeland vs Richard Dickerson / Jana Goeke6-2, 6-1
W#2 DoublesShashi Pathak / Joseph Delsignore vs Matt Junidi / Lolly Cottrell6-3, 7-6
W#3 DoublesVickie Brandt / Thomas Bostick vs David Lang / Judy Malpiedi6-3, 7-5
2025-09-30vs Mixed Bag (Shouldis)Won 20
W#1 DoublesJane Herder / Nicholas Damato vs David Lang / Jana Goeke6-0, 6-3
W#2 DoublesVickie Brandt / Matthew Mertens vs Matt Junidi / Ann Grassle6-3, 6-2
2025-09-04vs Mixed Bag (Shouldis)Won 30
W#1 DoublesDenise Foley / Matthew Mertens vs Richard Dickerson / Kathy Wennemann6-2, 6-3
W#2 DoublesVickie Brandt / William Dannevik vs Kurt Feigley / Lolly Cottrell6-0, 6-0
W#3 DoublesPatricia Fry / Thomas Bostick vs David Lang / Elizabeth E Montgomery6-3, 6-1
2025-08-28vs Mixed Bag (Shouldis)Won 20
W#1 DoublesVickie Brandt / William Dannevik vs David Lang / Kathy Wennemann6-2, 6-1
W#2 DoublesJane Herder / Nicholas Damato vs Richard Dickerson / Michelle Brower-Kitchens7-6, 3-6, 1-0
2025-08-21vs Mixed Bag (Shouldis)Won 30
W#1 DoublesDenise Foley / Matthew Mertens vs Kurt Feigley / Ann Grassle6-2, 6-3
W#2 DoublesMartina Augsburger / Thomas Wheeland vs Richard Dickerson / Lolly Cottrell6-2, 6-1
W#3 DoublesShashi Pathak / Sam Shouldis vs David Lang / Michelle Brower-Kitchens6-1, 6-3
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 · 7.0 Combined
TeamWLInd. WInd. LSets lostGames lost
1STL/Shouldis/55&Over7.0X60180182
2Mixed Bag (Shouldis)0601836218

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 3.28 estimated across 13 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.

3.79
Sam Shouldis
usually #3 Doubles 60%, also #1 Doubles 20% · published
3.73
Joseph Delsignore
usually #2 Doubles 80%, also #1 Doubles 20% · published
3.71
Patricia Fry
usually #2 Doubles 43%, also #3 Doubles 29% · published
3.63
Vickie Brandt
usually #2 Doubles 50%, also #1 Doubles 25% · published
3.54
Jane Herder
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.54
Martina Augsburger
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.24
Denise Foley
usually #1 Doubles 100% · published 3.5
3.06
Matthew Mertens
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.05
William Dannevik
usually #1 Doubles 67%, also #2 Doubles 33% · published
2.97
Thomas Bostick
usually #3 Doubles 60%, also #1 Doubles 40% · published
2.93
Nicholas Damato
usually #2 Doubles 50%, also #1 Doubles 33% · published
2.76
Shashi Pathak
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.75
Lori Divin
usually #1 Doubles 50%, also #3 Doubles 50% · published
Thomas Wheeland
usually #2 Doubles 50%, also #1 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.

Martina Augsburger + Sam Shouldis11158% games+14.6% vs expected
Martina Augsburger + William Dannevik8554% games+0.6% vs expected
Patricia Fry + Joseph Delsignore4261% gamesnot enough data
Jane Herder + Nicholas Damato5156% gamesnot enough data
Patricia Fry + Sam Shouldis5073% gamesnot enough data
Joseph Delsignore + Shashi Pathak1440% gamesnot enough data
Lori Divin + Sam Shouldis404 matchesnot enough data
Thomas Wheeland + Martina Augsburger303 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.

Sam Shouldis
191W–121L career · 5 lines in 2025
2%91%7%
3.79
Joseph Delsignore
209W–98L career · 5 lines in 2025
5%92%3%
3.73
Patricia Fry
182W–100L career · 7 lines in 2025
<1%7%93%
3.71
Vickie Brandt
221W–113L career · 4 lines in 2025
<1%18%82%
3.63
Jane Herder
68W–74L career · 2 lines in 2025
38%62%<1%
3.54
Martina Augsburger
241W–165L career · 3 lines in 2025
<1%38%62%
3.54
3.5
Denise Foley
131W–102L career · 2 lines in 2025
4%93%3%
3.24
Matthew Mertens
90W–93L career · 3 lines in 2025
32%68%<1%
3.06
William Dannevik
93W–170L career · 3 lines in 2025
36%64%<1%
3.05
Thomas Bostick
104W–110L career · 5 lines in 2025
<1%59%41%
2.97
Nicholas Damato
55W–45L career · 6 lines in 2025
<1%68%32%
2.93
Shashi Pathak
108W–75L career · 2 lines in 2025
3%93%4%
2.76
Lori Divin
68W–104L career · 2 lines in 2025
4%93%4%
2.75
Thomas Wheeland
17W–30L career · 2 lines in 2025
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.