Teams

Meet your Match

Adult Tri-Level League · Tri Level Womens Bucks 3.0-4.0

13 players · average NTRP 3.62 / PHILADELPHIA

View scouting list →
Schedule6 played
2020-10-14vs Double troubleLost 03
L#1 DoublesJennifer Shields / Virginia Lucci vs Amanda Laskowski / Julie Granson1-6, 5-7
L#2 DoublesRobyn Green / Elizabeth Balcer vs Patricia Vesey / Cathlyn Ostrem4-6, 7-5, 4-6
L#3 DoublesSiobhan Richardson / Kimberly Kent vs Roberta Foster / Lynn Sundblad2-6, 6-5, 0-1
2020-10-07vs YamamotoLost 12
L#1 DoublesKathy Kichula / Virginia Lucci vs Brenda Weckerly / Kim Valencia0-6, 4-5
W#2 DoublesElizabeth Bernabeo / Giselle Gordon vs Suzy Dowell / Jennifer Yamamoto6-1, 5-4
L#3 DoublesKay Dugery / Julia Libke vs Karen Morris / Christy May7-6, 1-2, 0-1
2020-09-30vs One More TriWon 30
W#1 DoublesJennifer Shields / Daneen Downs vs Gina Foley / Kelley Olsen2-6, 7-6, 1-0
W#2 DoublesElizabeth Balcer / Robyn Green vs Tracey Arsenault / Tracy Brown6-0, 6-3
W#3 DoublesColleen Simpson / Siobhan Richardson vs Mauri Johnson / Carla Kotik7-6, 2-0
2020-09-23vs Tri-SliceWon 21
W#1 DoublesKathy Kichula / Virginia Lucci vs Anh Bixby / Nicole Flynn1-6, 6-4, 1-0
W#2 DoublesElizabeth Bernabeo / Giselle Gordon vs Maria Pollack / Noelle Lachenmayer6-3, 2-5, 1-0
L#3 DoublesKimberly Kent / Kay Dugery vs Debra Fechter / Zita Munro4-6, 1-0, 0-1
2020-09-16vs Frog DollfusWon 21
L#1 DoublesDaneen Downs / Jennifer Shields vs Jill Bachman / Lesley Nicolson2-6, 3-4
W#2 DoublesElizabeth Balcer / Robyn Green vs Maureen Mahoney / Chris Snell6-0, 3-4, 1-0
W#3 DoublesSiobhan Richardson / Julia Libke vs Chris Curtis / Sandra Chang6-3, 5-1
2020-09-09vs Cynwyd ClubLost 12
L#1 DoublesVirginia Lucci / Kathy Kichula vs Kristin Chaudry / Lisa Brueggemann3-6, 6-4, 0-1
L#2 DoublesElizabeth Bernabeo / Giselle Gordon vs Devany Penne / Nan Barash3-6, 6-7
W#3 DoublesColleen Simpson / Kimberly Kent vs Catherine Grimes / Nancy Levitt6-3, 2-6, 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 standings7 teams · Tri Level Womens Bucks 3.0-4.0
TeamWLInd. WInd. LSets lostGames lost
1Double trouble601627112
2Yamamoto3311721167
3Meet your Match339924165
4Tri-Slice3371124157
5One More Tri3371124174
6Cynwyd Club2471125184
7Frog Dollfus1561224166

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.41 estimated across 9 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.

3.85
Elizabeth Bernabeo
usually #3 Doubles 63%, also #2 Doubles 38% · published 4
Giselle Gordon
usually #2 Doubles 75%, also #3 Doubles 25% · published 4
3.73
Kathy Kichula
usually #1 Doubles 100% · published
3.68
Virginia Lucci
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.47
Colleen Simpson
usually #3 Doubles 100% · published 3.5
3.47
Julia Libke
usually #3 Doubles 100% · published 3.5
3.39
Daneen Downs
usually #1 Doubles 100% · published 3.5
3.39
Elizabeth Balcer
usually #2 Doubles 100% · published 3.5
3.13
Kimberly Kent
usually #3 Doubles 100% · published
2.58
Kay Dugery
usually #3 Doubles 100% · published 3
Jennifer Shields
usually #1 Doubles 100% · published
Robyn Green
usually #2 Doubles 100% · published
Siobhan Richardson
usually #3 Doubles 100% · 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.

Daneen Downs + Elizabeth Bernabeo5162% games+13.1% vs expected
Elizabeth Bernabeo + Jennifer Shields4153% games+9.0% vs expected
Giselle Gordon + Elizabeth Bernabeo321259% games+3.7% vs expected
Elizabeth Balcer + Robyn Green271755% games−2.9% vs expected
Elizabeth Balcer + Giselle Gordon4167% gamesnot enough data
Giselle Gordon + Colleen Simpson4157% gamesnot enough data
Kathy Kichula + Virginia Lucci123 matchesnot enough data
Daneen Downs + Jennifer Shields213 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.

4
Elizabeth Bernabeo
216W–140L career · 8 lines in 2021
<1%87%13%
3.85
4
Giselle Gordon
76W–35L career · 4 lines in 2021
not enough data
Kathy Kichula
35W–31L career · 3 lines in 2021
4%94%2%
3.73
4
Virginia Lucci
100W–72L career · 6 lines in 2021
8%91%1%
3.68
3.5
Colleen Simpson
55W–27L career · 2 lines in 2021
<1%58%42%
3.47
3.5
Julia Libke
96W–49L career · 2 lines in 2021
<1%59%41%
3.47
3.5
Daneen Downs
20W–11L career · 2 lines in 2021
<1%79%21%
3.39
3.5
Elizabeth Balcer
85W–41L career · 3 lines in 2021
<1%80%19%
3.39
Kimberly Kent
71W–55L career · 3 lines in 2021
16%84%<1%
3.13
3
Kay Dugery
57W–92L career · 2 lines in 2021
26%74%<1%
2.58
Jennifer Shields
16W–11L career · 3 lines in 2021
not enough data
Robyn Green
34W–22L career · 3 lines in 2021
not enough data
Siobhan Richardson
19W–23L career · 3 lines in 2021
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.