Teams

Get Some 40+

2022 Howard Columbia Mixed 40 & Over · Howard Columbia Mixed 40 & Over 7.0

14 players · average NTRP 3.67 / MARYLAND

View scouting list →
Schedule12 played
2022-08-17vs Casual Sets 40+Won 10
W#1 DoublesKim Chamberlain / Matt Baumann vs Holly Erdely / Ian Dew6-1, 6-3
2022-08-16vs Vintage Alewinners 40+Won 10
W#2 DoublesKim Chamberlain / Matt Baumann vs Christine Alewine / Bill Hartman4-6, 6-3, 1-0
2022-08-13vs KG Mix 7.0 40+Won 21
L#1 DoublesGlen Hardesty / Gina Seyfried vs Kristin Ostlie / James Wen3-6, 4-6
W#2 DoublesDouglas Turner / Gita Timmerman vs N/A6-0, 6-0
W#3 DoublesJohnny Hsiung / Christine Lee vs Vicki Williamson / Richie Wang6-3, 7-6
2022-08-07vs The Fugees 40+Won 10
W#3 DoublesGlen Hardesty / Millette Miller vs George Lamont / Jillian Kingwood1-6, 6-4, 1-0
2022-08-03vs Lucky Strykes 7.0 40+Split 11
W#1 DoublesJohnny Hsiung / Na Yi vs Hong Cho / Sung Cho6-1, 6-3
L#2 DoublesGlen Hardesty / Millette Miller vs Suzanne Rothwell / Ethan Stryker6-3, 3-6, 0-1
2022-07-21vs Vintage Alewinners 40+Lost 01
L#2 DoublesMillette Miller / Matt Baumann vs Cintya Leveque / Sridhar Atluri6-3, 3-6, 0-1
2022-07-19vs Yep 7.0 40+Lost 01
L#1 DoublesGlen Hardesty / Karlene Brathwaite vs Donna Slaughter / Jim Slaughter6-1, 5-7, 0-1
2022-07-13vs KG Mix 7.0 40+Won 20
W#2 DoublesLoan Nguyen / Matt Baumann vs Phaedra Budman / Stephen Rawlings6-1, 6-0
W#3 DoublesGita Timmerman / Douglas Turner vs N/A6-0, 6-0
2022-07-07vs Surfing The Net 7.0 40+Won 10
W#2 DoublesGlen Hardesty / Sherri Ross vs Maria Cristina Sanchez / Waqas Majeed7-5, 6-2
2022-07-05vs Casual Sets 40+Won 21
W#1 DoublesKim Chamberlain / Andy Blocker vs Tracy Flaherty / George Sybert6-2, 6-2
W#2 DoublesNa Yi / Johnny Hsiung vs Jeanine Parker / T Ashley Smoot6-7, 6-1, 1-0
L#3 DoublesSanghee Lee / Matt Baumann vs Roslyn Waddy / Ace Custodio7-6, 3-6, 0-1
2022-06-28vs Lucky Strykes 7.0 40+Won 10
W#3 DoublesMillette Miller / Glen Hardesty vs Ethan Stryker / Sung Cho6-3, 7-5
2022-06-05vs Yep 7.0 40+Won 20
W#1 DoublesAndy Blocker / Kim Chamberlain vs Kim Steffen / Alexandre Fines6-3, 6-3
W#2 DoublesNa Yi / Johnny Hsiung vs Donna Slaughter / Jim Slaughter6-2, 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 standings for Howard Columbia Mixed 40 & Over 7.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.50 estimated across 11 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.

4.12
Pamela Dean
published
3.95
Johnny Hsiung
usually #2 Doubles 44%, also #3 Doubles 33% · published 4
3.55
Kim Chamberlain
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.53
Na Yi
published 4
3.49
Sanghee Lee
published
3.48
Surendra Babu
published
3.38
Matt Baumann
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
3.29
Glen Hardesty
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
Andy Blocker
published 3.5
3.25
Gita Timmerman
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.23
Karlene Brathwaite
usually #1 Doubles 100% · published 3.5
3.20
Gina Seyfried
published 3.5
Loan Nguyen
published
Millette Miller
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.

Gita Timmerman + Johnny Hsiung5162% gamesnot enough data
Kim Chamberlain + Matt Baumann224 matchesnot enough data
Matt Baumann + Karlene Brathwaite044 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.

Pamela Dean
40W–40L career · no lines in 2022
17%83%<1%
4.12
4
Johnny Hsiung
573W–156L career · 9 lines in 2022
<1%64%36%
3.95
4
Kim Chamberlain
139W–119L career · 4 lines in 2022
34%66%<1%
3.55
4
Na Yi
198W–103L career · no lines in 2022
42%58%<1%
3.53
Sanghee Lee
38W–21L career · no lines in 2022
<1%52%48%
3.49
Surendra Babu
28W–17L career · no lines in 2022
<1%57%43%
3.48
3.5
Matt Baumann
225W–179L career · 5 lines in 2022
<1%83%17%
3.38
3.5
Glen Hardesty
85W–61L career · 6 lines in 2022
1%93%5%
3.29
3.5
Andy Blocker
4W–1L career · no lines in 2022
not enough data
3.5
Gita Timmerman
40W–11L career · type M · 2 lines in 2022
3%95%3%
3.25
3.5
Karlene Brathwaite
145W–136L career · 1 line in 2022
4%94%2%
3.23
3.5
Gina Seyfried
6W–6L career · no lines in 2022
6%93%1%
3.20
Loan Nguyen
0W–3L career · no lines in 2022
not enough data
Millette Miller
7W–4L career · no 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.