Teams

Mocady 8.0

2022 Montgomery Mixed 18 & Over Winter · Montgomery Mixed 18 & Over 8.0

15 players · average NTRP 4.05 / MARYLAND

View scouting list →
Schedule12 played
2022-04-02vs Wok in the ParkLost 02
L#1 DoublesLenny Williams / Marketa Chromkova vs Rachel Martinez / Tieng Nguyen1-6, 4-6
L#2 DoublesHarris Rosenblatt / Gretchen Teel vs Gianna Kang / Denis Vashuk3-6, 3-6
2022-03-19vs VisseringLost 01
L#3 DoublesMaria Woolpert / Renaldo Savady vs Geoffrey Montgomery / Grace Becton3-6, 6-7
2022-03-13vs RubinoWon 20
W#1 DoublesRenaldo Savady / Sharon Tompkins vs Jim Leveque / Christine Becer4-6, 6-4, 1-0
W#2 DoublesLenny Williams / Marketa Chromkova vs Brent Kendall / Cecilia Jones6-4, 7-6
2022-03-11vs Sets MachineLost 01
L#1 DoublesMarketa Chromkova / Lenny Williams vs Richard Laukitis / Bavi Sadayappan2-6, 2-6
2022-03-06vs Wok in the ParkSplit 11
L#2 DoublesRenaldo Savady / Carol Besse vs Christopher Lee / Pamela Dean4-6, 2-6
W#3 DoublesJustin Cady / Gretchen Teel vs N/A6-0, 6-0
2022-02-18vs VisseringWon 20
W#1 DoublesLenny Williams / Marketa Chromkova vs Geoffrey Montgomery / Christine Bragale6-3, 6-2
W#3 DoublesRenaldo Savady / Maria Woolpert vs Ricardo Green / Rani Jeeva Nguyen-Khoa6-2, 6-3
2022-02-12vs RubinoLost 01
L#1 DoublesCarol Besse / Renaldo Savady vs Christine Becer / Simon Linder4-6, 2-6
2022-02-03vs Sets MachineWon 20
W#1 DoublesAlex Podpaly / Inese Williamson vs Edison Penafiel / Ele Pratt4-6, 7-5, 1-0
W#3 DoublesLenny Williams / Marketa Chromkova vs Richard Laukitis / Caridad Coto6-4, 4-6, 1-0
2022-01-24vs Wok in the ParkLost 12
L#1 DoublesMerve Gurlu / Renaldo Savady vs Christopher Lee / Pamela Dean0-6, 0-6
L#2 DoublesInese Williamson / Alex Podpaly vs Denis Vashuk / Gianna Kang3-6, 2-6
W#3 DoublesMarketa Chromkova / Lenny Williams vs David Trang / Heidi Sung6-4, 7-6
2022-01-21vs VisseringWon 10
W#1 DoublesRenaldo Savady / Carol Besse vs Geoffrey Montgomery / Jingping Yang6-2, 6-4
2022-01-17vs RubinoWon 20
W#1 DoublesInese Williamson / Alex Podpaly vs Hong Hu / Wendy Guo7-6, 6-4
W#2 DoublesMarketa Chromkova / Lenny Williams vs Garrett Kessler / Sorina Eftim6-1, 6-4
2022-01-12vs Sets MachineWon 10
W#2 DoublesRenaldo Savady / Sharon Tompkins vs Phillip Ramil / Michele Diez7-6, 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 standings for Montgomery Mixed 18 & Over 8.0 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 3.75 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.

5.07
Inese Williamson
published 5
4.12
Harris Rosenblatt
published 4.5
4.06
Carol Besse
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.04
Henry Cha
published 4.5
3.83
Renaldo Savady
usually #1 Doubles 50%, also #2 Doubles 25% · published 4
3.79
Sharon Tompkins
published
3.77
Gillian Lee
published 4
Darren Felix
published 4
3.75
Justin Cady
published
3.63
Maria Woolpert
published
3.30
Alex Podpaly
usually #2 Doubles 60%, also #1 Doubles 40% · published 3.5
3.25
Gretchen Teel
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.08
Holly Erdely
published 3.5
3.08
Lenny Williams
usually #1 Doubles 43%, also #2 Doubles 29% · published 3.5
John Lee
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.

Renaldo Savady + Carol Besse123 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.

5
Inese Williamson
28W–15L career · no lines in 2022
<1%30%70%
5.07
4.5
Harris Rosenblatt
17W–14L career · no lines in 2022
18%82%<1%
4.12
4.5
Carol Besse
288W–186L career · 3 lines in 2022
32%68%<1%
4.06
4.5
Henry Cha
25W–50L career · no lines in 2022
39%61%<1%
4.04
4
Renaldo Savady
224W–182L career · 8 lines in 2022
1%90%9%
3.83
Sharon Tompkins
14W–7L career · no lines in 2022
1%93%6%
3.79
4
Gillian Lee
2W–2L career · type A · no lines in 2022
2%94%4%
3.77
4
Darren Felix
6W–1L career · no lines in 2022
not enough data
Justin Cady
27W–19L career · no lines in 2022
3%95%3%
3.75
Maria Woolpert
2W–4L career · no lines in 2022
15%85%<1%
3.63
3.5
Alex Podpaly
122W–91L career · 5 lines in 2022
1%93%6%
3.30
3.5
Gretchen Teel
144W–114L career · 2 lines in 2022
3%95%2%
3.25
3.5
Holly Erdely
78W–102L career · no lines in 2022
27%73%<1%
3.08
3.5
Lenny Williams
68W–48L career · 7 lines in 2022
27%73%<1%
3.08
John Lee
1W–1L 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.