Teams

MONTGOMERY - Farrington

2024 Montgomery Tri-Level 18 & Over · Montgomery Tri-Level 4.0, 3.5, 3.0 Women

21 players · average NTRP 3.85 / MARYLAND

View scouting list →
Schedule11 played
2024-09-12vs Forever and VolleysLost 01
L#1 DoublesChanpen Teeranon / Cece Finan vs Mary Papadopulos / Lucy Wang5-7, 3-4
2024-09-04vs Nice TriLost 01
L#3 DoublesDenese Cavanaugh / Rui Liu vs Tamar Henkin / Marie Israelite4-6, 5-7
2024-08-22vs MONTGOMERY - LeeLost 01
L#1 DoublesHeather Schreiber / Paru Rellan vs Liz Christensen / Carolyn Greis1-6, 3-6
2024-08-12vs Happy Feet 4.5TriWon 10
W#1 DoublesDawn Yules / Heather Schreiber vs Tina Halley / Julie Gowin6-1, 7-5
2024-08-05vs Happy Feet TriLost 02
L#1 DoublesMekkla Thompson / Angel Amponsah vs Margarita Baldwin / Kasey Kinney2-6, 6-3, 0-1
L#3 DoublesDenese Cavanaugh / Rui Liu vs Heather FREIDKIN / Meghan Smith4-6, 2-6
2024-08-01vs First ServeLost 12
L#1 DoublesCece Finan / Chanpen Teeranon vs Lucy Wang / Liz Christensen5-7, 4-6
L#2 DoublesRuxandra Badiu / Carmen Scurato vs Gillian Moorhead / Tina Woods3-6, 2-6
W#3 DoublesRui Liu / Denese Cavanaugh vs Jennifer Spence / Kara Stegeman6-0, 6-1
2024-07-27vs Nice TriSplit 11
W#1 DoublesParu Rellan / Mekkla Thompson vs Christine Alewine / Sara Orthwein6-2, 6-5
L#2 DoublesLydia Juh / Ruxandra Badiu vs Annie Carey / Diana Talesnick7-5, 3-6, 0-1
2024-07-23vs Happy Feet TriLost 02
L#1 DoublesMekkla Thompson / Jin Lei vs Jennifer Mitchell / Kasey Kinney2-6, 4-6
L#3 DoublesDenese Cavanaugh / Wen Jiang vs Meaghan Curry / Meghan Smith2-6, 3-6
2024-07-17vs MONTGOMERY - LeeLost 01
L#1 DoublesMekkla Thompson / Paru Rellan vs Lucy Wang / Heather Sine4-6, 1-6
2024-07-14vs Nice TriWon 10
W#1 DoublesJin Lei / Mekkla Thompson vs Sarah Schrieber / Michelle Stas6-1, 7-6
2024-07-08vs Happy Feet TriWon 10
W#1 DoublesAngel Amponsah / Mekkla Thompson vs Jennifer Mitchell / Meaghan McHugh7-5, 6-2
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 4.0, 3.5, 3.0 Women 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 3.68 estimated across 19 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.

4.31
Jin Lei
published
4.07
Angel Amponsah
published 4.5
3.98
Dawn Yules
published 4
3.94
Mekkla Thompson
usually #1 Doubles 100% · published 4
3.87
Janet Wu
published
3.80
Paru Rellan
published
3.74
Chanpen Teeranon
usually #1 Doubles 100% · published 4
3.74
Winny Zhang
published
3.72
Heather Schreiber
usually #1 Doubles 100% · published 4
3.71
Cece Finan
usually #1 Doubles 100% · published 4
3.69
Lydia Juh
published
3.68
Megan Kessler
published 4
3.66
Chao Wang
published 3.5
3.60
Carmen Scurato
published 4
3.53
Na Yi
usually #2 Doubles 57%, also #3 Doubles 43% · published 4
3.34
Ruxandra Badiu
usually #2 Doubles 100% · published 3.5
3.30
Traci Bidinger
published
3.27
Regina Farrington
published 3.5
2.88
Denese Cavanaugh
usually #3 Doubles 100% · published 3
Rui Liu
published
Wen Jiang
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.

Heather Schreiber + Megan Kessler3348% gamesnot enough data
Regina Farrington + Chanpen Teeranon4159% gamesnot enough data
Ruxandra Badiu + Denese Cavanaugh123 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.

Jin Lei
21W–1L career · no lines in 2024
1%92%7%
4.31
4.5
Angel Amponsah
27W–15L career · no lines in 2024
30%70%<1%
4.07
4
Dawn Yules
12W–8L career · no lines in 2024
<1%57%43%
3.98
4
Mekkla Thompson
161W–109L career · 6 lines in 2024
<1%67%32%
3.94
Janet Wu
41W–22L career · no lines in 2024
<1%84%16%
3.87
Paru Rellan
6W–2L career · no lines in 2024
1%93%6%
3.80
4
Chanpen Teeranon
209W–208L career · 2 lines in 2024
3%94%2%
3.74
Winny Zhang
19W–18L career · no lines in 2024
3%94%2%
3.74
4
Heather Schreiber
110W–72L career · 2 lines in 2024
4%94%2%
3.72
4
Cece Finan
67W–78L career · 2 lines in 2024
5%93%1%
3.71
Lydia Juh
47W–17L career · no lines in 2024
<1%7%93%
3.69
4
Megan Kessler
76W–38L career · no lines in 2024
8%91%1%
3.68
3.5
Chao Wang
21W–9L career · no lines in 2024
<1%11%89%
3.66
4
Carmen Scurato
8W–11L career · no lines in 2024
23%77%<1%
3.60
4
Na Yi
198W–103L career · 7 lines in 2024
42%58%<1%
3.53
3.5
Ruxandra Badiu
478W–217L career · 2 lines in 2024
<1%88%11%
3.34
Traci Bidinger
3W–2L career · no lines in 2024
94%6%<1%
3.30
3.5
Regina Farrington
179W–186L career · no lines in 2024
2%94%4%
3.27
3
Denese Cavanaugh
147W–104L career · 4 lines in 2024
<1%82%18%
2.88
Rui Liu
6W–0L career · no lines in 2024
not enough data
Wen Jiang
6W–3L career · no lines in 2024
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.