Teams

STL/Albrecht/Mixed55&Over7.0MX

2022 Mixed 55 & Over · 7.0 Combined

16 players · average NTRP 3.50 / ST. LOUIS

View scouting list →
Schedule6 played
2022-10-13vs Shouldis 7.0Lost 12
L#1 DoublesMary Kimberly Bohnenkamp / Marvin Bohnenkamp vs Karen Ebert Meyer / William Dannevik6-7, 2-4
L#2 DoublesSimone Cummings / Barry Sage vs Colleen Wilkerson / David Lang7-6, 3-6, 0-1
W#3 DoublesMargaret Ropelle / Michael Brennan vs Martina Augsburger / Eric Martin7-6, 6-3
2022-10-06vs Trice/ServinatorsSplit 11
L#1 DoublesShashi Pathak / Trevor Rees vs Lisa LaRose / Mark Miller0-6, 5-7
W#2 DoublesKelly Samples / Bob Samples vs Cris Fischer / John McGowan6-2, 6-5
2022-09-22vs Shouldis 7.0Won 21
W#1 DoublesKelly Samples / Bob Samples vs Karen Ebert Meyer / Mark Brunsmann6-4, 6-0
L#2 DoublesMargaret Ropelle / Gary Roberds vs Kelly Rechtlich / Peter Rechtlich2-6, 5-7
W#3 DoublesMary Kimberly Bohnenkamp / Marvin Bohnenkamp vs Colleen Wilkerson / Eric Martin6-1, 6-4
2022-09-15vs Trice/ServinatorsLost 12
L#1 DoublesLisa Jett / Jim Schwartz vs Yali Wei / William Gregerson5-7, 1-1
W#2 DoublesSimone Cummings / Gary Roberds vs James Richter / Roxy Trice6-1, 6-2
L#3 DoublesDairus Williams / Margaret Ropelle vs Seonyoung Kim / Mark Miller4-6, 5-6
2022-09-01vs Shouldis 7.0Won 21
L#1 DoublesKelly Samples / Bob Samples vs Martina Augsburger / William Dannevik3-6, 6-4, 1-0
W#2 DoublesShashi Pathak / Trevor Rees vs Kelly Rechtlich / Peter Rechtlich6-4, 6-2
W#3 DoublesSimone Cummings / Dairus Williams vs Karen Ebert Meyer / David Lang2-6, 6-2, 1-0
2022-08-25vs Trice/ServinatorsWon 21
W#1 DoublesLisa Jett / Jim Schwartz vs Roxy Trice / James Richter6-1, 6-3
W#2 DoublesKelly Samples / Bob Samples vs Cris Fischer / John McGowan6-1, 6-4
L#3 DoublesSimone Cummings / Gary Roberds vs Seonyoung Kim / Mark Miller3-6, 5-5
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 standings3 teams · 7.0 Combined
TeamWLInd. WInd. LSets lostGames lost
1STL/Albrecht/Mixed55&Over7.0MX4210816147
2Trice/Servinators3310818162
3Shouldis 7.02471124181

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 3.12 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.

3.42
Bob Samples
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.40
Peter Albrecht
published
Gary Roberds
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.20
Michael Brennan
usually #3 Doubles 100% · published
3.12
Kelly Samples
usually #1 Doubles 50%, also #2 Doubles 50% · published
2.85
Barry Sage
usually #2 Doubles 100% · published 3.5
2.75
Shashi Pathak
usually #2 Doubles 50%, also #1 Doubles 50% · published
Dairus Williams
usually #3 Doubles 100% · published
Jim Schwartz
usually #1 Doubles 100% · published
Lisa Jett
usually #1 Doubles 100% · published
Margaret Ropelle
usually #3 Doubles 67%, also #2 Doubles 33% · published
Marvin Bohnenkamp
usually #3 Doubles 50%, also #1 Doubles 50% · published
Mary Kimberly Bohnenkamp
usually #3 Doubles 50%, also #1 Doubles 50% · published
Rose Albrecht
published
Simone Cummings
usually #3 Doubles 50%, also #2 Doubles 50% · published
Trevor Rees
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.

Marvin Bohnenkamp + Mary Kimberly Bohnenkamp7751% games+3.5% vs expected
Peter Albrecht + Rose Albrecht81247% games+1.1% vs expected
Bob Samples + Kelly Samples211456% games+0.5% vs expected
Trevor Rees + Shashi Pathak15852% games−6.0% vs expected
Lisa Jett + Jim Schwartz6263% gamesnot enough data
Simone Cummings + Gary Roberds2351% gamesnot enough data
Barry Sage + Shashi Pathak044 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
Bob Samples
79W–78L career · 4 lines in 2022
<1%74%26%
3.42
Peter Albrecht
85W–117L career · no lines in 2022
<1%77%23%
3.40
3.5
Gary Roberds
60W–58L career · 3 lines in 2022
not enough data
Michael Brennan
61W–165L career · 1 line in 2022
6%93%1%
3.20
Kelly Samples
151W–78L career · 4 lines in 2022
17%82%<1%
3.12
3.5
Barry Sage
18W–67L career · 1 line in 2022
88%12%<1%
2.85
Shashi Pathak
109W–75L career · 2 lines in 2022
3%95%3%
2.75
Dairus Williams
34W–51L career · 2 lines in 2022
not enough data
Jim Schwartz
10W–5L career · 2 lines in 2022
not enough data
Lisa Jett
29W–18L career · 2 lines in 2022
not enough data
Margaret Ropelle
31W–39L career · 3 lines in 2022
not enough data
Marvin Bohnenkamp
17W–34L career · 2 lines in 2022
not enough data
Mary Kimberly Bohnenkamp
58W–66L career · 2 lines in 2022
not enough data
Rose Albrecht
58W–71L career · no lines in 2022
not enough data
Simone Cummings
55W–52L career · 4 lines in 2022
not enough data
Trevor Rees
45W–35L 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.