Teams

Miller

2022 Montgomery Combo Mixed Fall · Montgomery Combo Mixed 8.5

16 players · average NTRP 4.32 / MARYLAND

View scouting list →
Schedule10 played
2022-12-01vs Your Pace or MineLost 12
W#1 DoublesHeather Sine / Chris Ford vs Byron Levy / Jingping Yang6-2, 6-2
L#2 DoublesDana MacHer / Scott Miller vs Michael Mahaney / Laura McInerney6-7, 6-2, 0-1
L#3 DoublesDao Phan-Vissering / Roberto Ramos vs Elissa Lei / Loc-Anh Nguyen-Khoa6-7, 4-4
2022-11-21vs Sets AppealLost 01
L#2 DoublesHeather Sine / Ricardo Green vs Oliver Lee / Erika Trost2-6, 1-6
2022-11-12vs Your Pace or MineLost 02
L#2 DoublesMargie Davis / Ricardo Green vs Gregory Chambers / Laura McInerney5-7, 6-7
L#3 DoublesWendy Guo / Renaldo Savady vs Luis Lozano / Jingping Yang3-6, 3-6
2022-11-03vs Sets AppealLost 02
L#1 DoublesChristine Becer / David Todd vs Sumeet Chawla / Leila Lam7-5, 1-6, 0-1
L#2 DoublesChris Ford / Heather Sine vs Chris Downs / Bavi Sadayappan4-6, 3-6
2022-10-29vs MoCo Cady 8.5 MixedSplit 11
W#1 DoublesAravind Krishna / Heather Sine vs Danielle Desfosses / Dwayne Herndon6-2, 5-7, 1-0
L#3 DoublesRenaldo Savady / Michele Bloom vs Daniel Park / Gillian Lee2-6, 0-6
2022-10-21vs Your Pace or MineLost 02
L#2 DoublesDao Phan-Vissering / Ricardo Green vs Duane Wright / Evelyn Chan6-7, 1-6
L#3 DoublesRenaldo Savady / Lolita Blair vs Luis Lozano / Laura McInerney3-6, 4-6
2022-10-16vs MoCo Cady 8.5 MixedWon 10
W#2 DoublesScott Miller / Dana MacHer vs Gillian Lee / Daniel Park3-6, 6-4, 1-0
2022-10-11vs Sets AppealLost 02
L#2 DoublesMargie Davis / Ricardo Green vs Christen Harsha / Oliver Lee3-6, 0-6
L#3 DoublesChristine Becer / David Todd vs Carolina Posada / Chris Downs7-5, 2-6, 0-1
2022-10-03vs Your Pace or MineWon 20
W#1 DoublesChristine Becer / David Todd vs Tara Jakubik / Vince Sbarra7-5, 7-5
W#3 DoublesDao Phan-Vissering / Renaldo Savady vs Evelyn Chan / Arash Hanif1-6
2022-09-29vs Sets AppealLost 01
L#3 DoublesDao Phan-Vissering / Roberto Ramos vs Simone Feldman / Phillip Ramil3-6, 4-6
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 Combo Mixed 8.5 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 3.96 estimated across 15 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.

4.36
Aravind Krishna
published 5
4.32
Margie Davis
published
4.23
Christine Becer
usually #1 Doubles 67%, also #3 Doubles 33% · published 4.5
4.18
Dana MacHer
usually #2 Doubles 100% · published 4.5
4.14
Kasey Kinney
published
4.12
Harris Rosenblatt
published 4.5
4.03
Heather Sine
usually #2 Doubles 50%, also #1 Doubles 38% · published 4.5
3.93
Dao Phan-Vissering
usually #3 Doubles 75%, also #2 Doubles 25% · published 4.5
3.85
David Todd
published 4
3.83
Renaldo Savady
usually #3 Doubles 100% · published 4
3.74
Cecilia Jones
published 4
3.71
Michele Bloom
published
3.68
Wendy Guo
published
3.63
Ricardo Green
usually #2 Doubles 100% · published 4
3.63
Chris Ford
published 4
Sandeep Krishnan
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 + Heather Sine4252% gamesnot enough data
Heather Sine + Ricardo Green3356% gamesnot enough data
David Todd + Kasey Kinney213 matchesnot enough data
Ricardo Green + Margie Davis123 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
Aravind Krishna
37W–48L career · no lines in 2022
86%14%<1%
4.36
Margie Davis
36W–18L career · no lines in 2022
1%91%8%
4.32
4.5
Christine Becer
271W–177L career · 3 lines in 2022
4%94%2%
4.23
4.5
Dana MacHer
91W–44L career · 2 lines in 2022
8%91%1%
4.18
Kasey Kinney
113W–43L career · no lines in 2022
<1%14%86%
4.14
4.5
Harris Rosenblatt
17W–14L career · no lines in 2022
18%82%<1%
4.12
4.5
Heather Sine
293W–174L career · 8 lines in 2022
41%59%<1%
4.03
4.5
Dao Phan-Vissering
232W–272L career · 4 lines in 2022
71%29%<1%
3.93
4
David Todd
58W–28L career · no lines in 2022
<1%86%13%
3.85
4
Renaldo Savady
224W–182L career · 4 lines in 2022
1%90%9%
3.83
4
Cecilia Jones
48W–52L career · no lines in 2022
3%94%2%
3.74
Michele Bloom
12W–9L career · no lines in 2022
5%93%1%
3.71
Wendy Guo
7W–19L career · no lines in 2022
9%91%1%
3.68
4
Ricardo Green
196W–152L career · 4 lines in 2022
15%84%<1%
3.63
4
Chris Ford
11W–11L career · no lines in 2022
16%83%<1%
3.63
Sandeep Krishnan
1W–2L 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.