Teams

TriSarahTops

2022 Montgomery Tri-Level Mixed 18 & Over · Montgomery Tri-Level Mixed 9.0-8.0-7.0

15 players · average NTRP 4.19 / MARYLAND

View scouting list →
Schedule11 played
2022-12-09vs Tri-VissermixWon 10
W#3 DoublesLucy Wang / Jim Leveque vs Matt Baumann / Kim Chamberlain6-4, 6-4
2022-12-02vs Tri-VissermixWon 20
W#1 DoublesDaniel Park / Kaitlyn Heo vs Simone Feldman / Luis Lozano6-3, 6-2
W#3 DoublesLucy Wang / Hsuan Ou vs Thomas Leuba / Loan Nguyen6-3, 6-2
2022-11-28vs Tri-VissermixWon 10
W#3 DoublesLucy Wang / Jim Leveque vs Matt Baumann / Karlene Brathwaite6-1, 6-3
2022-11-17vs Tri-VissermixWon 10
W#3 DoublesSarah Speirs / Hsuan Ou vs Matt Baumann / Karlene Brathwaite6-2, 6-4
2022-11-11vs Tri-VissermixSplit 11
W#2 DoublesMatt Morgan / Dian Zhang vs Daniel Lawson / Heather Sine6-3, 3-6, 1-0
L#3 DoublesJim Leveque / Lucy Wang vs Thomas Leuba / Kim Chamberlain3-6, 2-6
2022-11-05vs Tri-VissermixWon 10
W#1 DoublesChristen Harsha / Tim Huber vs Dao Phan-Vissering / Jonathan Vissering6-3, 6-1
2022-10-28vs Tri-VissermixWon 30
W#1 DoublesKaitlyn Heo / Tim Huber vs Simone Feldman / Luis Lozano6-4, 3-6, 1-0
W#2 DoublesDian Zhang / Matt Morgan vs Heather Sine / Juan Jose Tijero3-6, 6-1, 1-0
W#3 DoublesBradley Jacques / Shan Wang vs Kim Chamberlain / Matt Baumann6-4, 6-2
2022-10-17vs Tri-VissermixSplit 11
L#1 DoublesKaitlyn Heo / Waymon Peet vs Nathan Leslie / Margie Davis4-6, 2-6
W#3 DoublesBradley Jacques / Shan Wang vs Matt Baumann / Karlene Brathwaite6-4, 6-3
2022-10-14vs Tri-VissermixWon 20
W#1 DoublesChristen Harsha / Tim Huber vs Simone Feldman / Luis Lozano6-4, 6-3
W#3 DoublesShan Wang / Jim Leveque vs Loan Nguyen / Thomas Leuba6-3, 6-1
2022-10-10vs Tri-VissermixWon 10
W#3 DoublesBradley Jacques / Shan Wang vs Loan Nguyen / Michael Vanderputten2-6, 6-3, 1-0
2022-10-02vs Tri-VissermixWon 21
W#1 DoublesDaniel Park / Christen Harsha vs Jonathan Vissering / Dao Phan-Vissering6-1, 6-3
W#2 DoublesChristopher Lee / Dian Zhang vs Geoffrey Montgomery / Heather Sine6-2, 3-6, 1-0
L#3 DoublesLucy Wang / Hsuan Ou vs Phillip Ramil / Tana Jankowiak7-6, 5-7, 0-1
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 Tri-Level Mixed 9.0-8.0-7.0 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 3.88 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.

4.72
Kaitlyn Heo
usually #1 Doubles 100% · published 5
4.58
Christen Harsha
usually #1 Doubles 100% · published 5
4.12
Pamela Dean
published
3.93
Dian Zhang
usually #2 Doubles 100% · published 4
3.90
Evelyn Chan
published 4
3.85
Lucy Wang
published
3.78
Shan Wang
published
Christopher Lee
published 4
3.64
Jim Leveque
usually #3 Doubles 100% · published 4
3.59
Bradley Jacques
usually #3 Doubles 100% · published 4
3.32
Hsuan Ou
usually #3 Doubles 100% · published 3.5
3.28
Sarah Speirs
published
Jessica Lee
published
Matt Morgan
published
Tim Huber
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.

Bradley Jacques + Christen Harsha303 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
Kaitlyn Heo
128W–63L career · 3 lines in 2022
5%94%1%
4.72
5
Christen Harsha
482W–135L career · 3 lines in 2022
28%72%<1%
4.58
Pamela Dean
40W–40L career · no lines in 2022
17%83%<1%
4.12
4
Dian Zhang
229W–109L career · 3 lines in 2022
<1%71%29%
3.93
4
Evelyn Chan
22W–13L career · no lines in 2022
<1%78%22%
3.90
Lucy Wang
33W–16L career · no lines in 2022
88%12%<1%
3.85
Shan Wang
31W–14L career · no lines in 2022
2%94%4%
3.78
4
Christopher Lee
7W–1L career · no lines in 2022
not enough data
4
Jim Leveque
172W–202L career · 4 lines in 2022
14%86%<1%
3.64
4
Bradley Jacques
192W–208L career · 3 lines in 2022
24%75%<1%
3.59
3.5
Hsuan Ou
184W–78L career · 3 lines in 2022
1%91%8%
3.32
Sarah Speirs
33W–12L career · no lines in 2022
2%94%5%
3.28
Jessica Lee
2W–1L career · no lines in 2022
not enough data
Matt Morgan
5W–1L career · no lines in 2022
not enough data
Tim Huber
6W–7L 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.