Teams

AYTC-Nolan

2023 Adult 65 & Over · 8.0 Women

13 players · average NTRP 3.65 / NORTHWEST WASHINGTON

View scouting list →
Schedule6 played
2023-05-17Won 30
W#1 DoublesMara Ferrari / Leona De Rocco vs Kami Shaw / Jude Neldam6-3, 6-2
W#2 DoublesDebbie Montgomery / Denise Nolan vs Nancy Edwards / Barbara Smith6-3, 6-1
W#3 DoublesSue Matyas / Naoko Reynolds vs Judy Ozuna / Debra Egge6-1, 6-0
2023-05-16Won 21
W#1 DoublesMara Ferrari / Judy Teshima vs Bonnie Paasche / Janice Hostetler2-6, 6-3, 1-0
W#2 DoublesDebbie Montgomery / Denise Nolan vs Carmen Almodovar / Patrice Dicasparro6-1, 7-6
L#3 DoublesCheryl Pleas / Sue Matyas vs Ann Imus / Corliss Liekkio2-6, 6-4, 0-1
2023-05-01Lost 03
L#1 DoublesDenise Nolan / Debbie Montgomery vs Corliss Liekkio / Bonnie Paasche4-6, 4-6
L#2 DoublesMara Ferrari / Shelley Morrison vs Carmen Almodovar / Patrice Dicasparro4-6, 2-6
L#3 DoublesPatricia Keegan / Leona De Rocco vs Susan Fascitelli / Cynthia Turner7-5, 4-6, 0-1
2023-04-25Won 21
W#1 DoublesDenise Nolan / Cheryl Pleas vs Margaret Daniels / Pamela Elliott6-1, 7-5
L#2 DoublesLeona De Rocco / Melanie Korch vs Fran Joy / Francisca Lehr6-2, 4-6, 0-1
W#3 DoublesMarybeth Alwood / Shelley Morrison vs Carol Rea / Laura Arrigoni6-3, 6-0
2023-04-11vs NWW-MI-SkoneLost 12
L#1 DoublesDenise Nolan / Patricia Keegan vs Anne Corsano / Marian Sinkey2-6, 0-6
L#2 DoublesDebbie Montgomery / Melanie Korch vs Susan Regan / Julie Dorr2-6, 3-6
W#3 DoublesMara Ferrari / Linda Brummett vs Suzanne Rittenhouse / Maria Sims6-1, 6-3
2023-04-07Won 21
W#1 DoublesDenise Nolan / Patricia Keegan vs Pamela Elliott / Ellen Johnson6-3, 3-6, 1-0
L#2 DoublesJudy Teshima / Melanie Korch vs Fran Joy / Joanna Nielsen3-6, 3-6
W#3 DoublesSue Matyas / Shelley Morrison vs Kimberly Dirksen / Jolene Momcilovich6-1, 6-4
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 standings5 teams · 8.0 Women
TeamWLInd. WInd. LSets lostGames lost
1NWW-BC-Dunlop511627124
2NWW-MI-Skone5114413161
3AYTC-Nolan4210818145
4HBSQ-Rea1541431208
5WSC-Neldam0611734198

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 3.39 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.

3.88
Mara Ferrari
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
3.74
Debbie Montgomery
usually #2 Doubles 75%, also #1 Doubles 25% · published 4
3.67
Sue Matyas
usually #3 Doubles 83%, also #2 Doubles 17% · published 4
3.65
Patricia Keegan
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.55
Denise Nolan
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.35
Melanie Korch
usually #2 Doubles 100% · published 3.5
3.34
Cheryl Pleas
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.34
Linda Brummett
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.26
Naoko Reynolds
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
3.21
Leona De Rocco
usually #1 Doubles 50%, also #2 Doubles 38% · published 3.5
3.19
Judy Teshima
usually #1 Doubles 83%, also #2 Doubles 17% · published 3.5
3.17
Shelley Morrison
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.67
Marybeth Alwood
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
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.

Patricia Keegan + Sue Matyas16555% games+5.3% vs expected
Melanie Korch + Debbie Montgomery9650% games+1.2% vs expected
Leona De Rocco + Linda Brummett402157% games+0.6% vs expected
Debbie Montgomery + Denise Nolan7751% games−1.0% vs expected
Shelley Morrison + Sue Matyas3353% games−5.5% vs expected
Patricia Keegan + Denise Nolan2344% games−6.3% vs expected
Sue Matyas + Denise Nolan2347% games−6.5% vs expected
Sue Matyas + Debbie Montgomery4250% games−8.2% vs expected
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
Mara Ferrari
312W–180L career · 4 lines in 2023
<1%82%17%
3.88
4
Debbie Montgomery
154W–103L career · 4 lines in 2023
3%94%2%
3.74
4
Sue Matyas
196W–147L career · 6 lines in 2023
10%90%1%
3.67
4
Patricia Keegan
66W–63L career · 3 lines in 2023
12%88%<1%
3.65
4
Denise Nolan
72W–88L career · 6 lines in 2023
35%65%<1%
3.55
3.5
Melanie Korch
79W–111L career · 3 lines in 2023
<1%88%12%
3.35
3.5
Cheryl Pleas
11W–35L career · 2 lines in 2023
<1%88%12%
3.34
3.5
Linda Brummett
100W–52L career · 3 lines in 2023
<1%88%11%
3.34
3.5
Naoko Reynolds
122W–85L career · 5 lines in 2023
2%95%3%
3.26
3.5
Leona De Rocco
121W–95L career · 8 lines in 2023
5%93%1%
3.21
3.5
Judy Teshima
34W–37L career · 6 lines in 2023
7%92%1%
3.19
3.5
Shelley Morrison
43W–51L career · 8 lines in 2023
9%90%1%
3.17
3
Marybeth Alwood
39W–76L career · 4 lines in 2023
9%90%1%
2.67

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.