Teams

WI 3.0 Metro W Cordill

2023 WI Other · 3.0 women (METRO) Fall non-progressing

9 players · average NTRP 2.75 / WISCONSIN

View scouting list →
Schedule8 played
2023-10-05vs WI 3.0 Metro W KotarSplit 11
L#1 DoublesPamela Weber / MacKenzie Snow vs Rebecca Thompson / Katharine Marinan3-6, 2-6
W#2 DoublesMia Holmgren / Kristen Ziegler vs Caitlin Noonan / Virginie Langenfeld6-4, 7-5
2023-09-28vs WI 3.0 Metro W DeaconLost 12
L#1 DoublesDeborah Pape / Suzanne Sellards vs Shyla Deacon / Adella Deacon4-6, 2-6
W#2 DoublesMacKenzie Snow / Kelly Cordill vs Samantha Grady / Kerry Guzman6-3, 6-1
L#3 DoublesPamela Simon / Mia Holmgren vs Carrie Schubring / Gillian Lester-George0-6, 2-6
2023-09-21vs WI 3.0 Metro W LeitermannWon 30
W#1 DoublesSuzanne Sellards / Deborah Pape vs Katie Leitermann / Stephanie Santiago6-2, 3-6, 1-0
W#2 DoublesKelly Cordill / MacKenzie Snow vs Caron Wold / Carole Nicksin6-2, 6-1
W#3 DoublesMia Holmgren / Kristen Ziegler vs Melanie Koenig / Darla Leitermann6-1, 6-4
2023-09-14vs WI 3.0 Metro W KotarLost 12
L#1 DoublesKelly Cordill / MacKenzie Snow vs Tanya Kotar / Katharine Marinan2-6, 3-6
L#2 DoublesKristen Ziegler / Pamela Weber vs Rebecca Thompson / Debbie Causey2-6, 1-6
W#3 DoublesMia Holmgren / Amy Gilgenbach vs Caitlin Noonan / Virginie Langenfeld7-6, 6-0
2023-09-07vs WI 3.0 Metro W DeaconLost 12
W#1 DoublesKelly Cordill / Pamela Weber vs Adella Deacon / Tamika Marable6-7, 7-5, 1-0
L#2 DoublesSuzanne Sellards / Deborah Pape vs Shyla Deacon / Kerry Guzman6-7, 2-6
L#3 DoublesKristen Ziegler / Mia Holmgren vs Gillian Lester-George / Carrie Schubring2-6, 3-6
2023-08-31vs WI 3.0 Metro W LeitermannLost 12
L#1 DoublesKelly Cordill / Pamela Weber vs Darla Leitermann / Stephanie Santiago6-7, 6-7
L#2 DoublesSuzanne Sellards / Amy Gilgenbach vs Katie Leitermann / Elise MacIk1-6, 1-6
W#3 DoublesDeborah Pape / Mia Holmgren vs Shawn Simmons / Carole Nicksin6-3, 1-6, 1-0
2023-08-24vs WI 3.0 Metro W KotarLost 12
L#1 DoublesKelly Cordill / Suzanne Sellards vs Tanya Kotar / Katharine Marinan3-6, 4-6
W#2 DoublesMacKenzie Snow / Pamela Weber vs Rebecca Thompson / Debbie Causey6-4, 6-3
L#3 DoublesAmy Gilgenbach / Kristen Ziegler vs Jamie Hendrix / Virginie Langenfeld5-7, 6-4, 0-1
2023-08-17vs WI 3.0 Metro W DeaconSplit 11
L#1 DoublesKelly Cordill / Suzanne Sellards vs Shyla Deacon / Adella Deacon3-6, 3-6
W#2 DoublesMacKenzie Snow / Amy Gilgenbach vs Gillian Lester-George / Tamika Marable6-2, 7-5
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 standings4 teams · 3.0 women (METRO) Fall non-progressing
TeamWLInd. WInd. LSets lostGames lost
1WI 3.0 Metro W Kotar7115920173
2WI 3.0 Metro W Deacon53131122184
3WI 3.0 Metro W Leitermann35101429226
4WI 3.0 Metro W Cordill17101431241

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 2.52 estimated across 5 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.

2.87
Pamela Simon
usually #3 Doubles 100% · published
2.61
Deborah Pape
usually #1 Doubles 50%, also #3 Doubles 25% · published 3
2.58
Kelly Cordill
usually #1 Doubles 71%, also #2 Doubles 29% · published 3
2.39
Mia Holmgren
usually #3 Doubles 83%, also #2 Doubles 17% · published 2.5
2.17
Amy Gilgenbach
usually #2 Doubles 50%, also #3 Doubles 50% · published 2.5
Kristen Ziegler
usually #3 Doubles 60%, also #2 Doubles 40% · published
MacKenzie Snow
usually #2 Doubles 67%, also #1 Doubles 33% · published
Pamela Weber
published
Suzanne Sellards
usually #1 Doubles 67%, also #2 Doubles 33% · 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.

Kelly Cordill + MacKenzie Snow5257% games+2.8% vs expected
Kelly Cordill + Suzanne Sellards1642% games−3.7% vs expected
Amy Gilgenbach + Suzanne Sellards51339% games−7.9% vs expected
Amy Gilgenbach + Kristen Ziegler1440% gamesnot enough data
Amy Gilgenbach + Mia Holmgren224 matchesnot enough data
Pamela Weber + Kelly Cordill134 matchesnot enough data
Pamela Weber + Suzanne Sellards123 matchesnot enough data
Kristen Ziegler + Mia Holmgren213 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.

Pamela Simon
10W–16L career · 1 line in 2023
84%16%<1%
2.87
3
Deborah Pape
16W–30L career · 4 lines in 2023
20%80%<1%
2.61
3
Kelly Cordill
58W–60L career · 7 lines in 2023
26%74%<1%
2.58
2.5
Mia Holmgren
40W–36L career · 6 lines in 2023
0%81%19%
2.39
2.5
Amy Gilgenbach
14W–46L career · 4 lines in 2023
0%99%1%
2.17
Kristen Ziegler
9W–16L career · 5 lines in 2023
not enough data
MacKenzie Snow
28W–22L career · 6 lines in 2023
not enough data
Pamela Weber
12W–19L career · no lines in 2023
not enough data
Suzanne Sellards
21W–44L career · 6 lines in 2023
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.