Teams

WP GREEN

2022 CTA ADULT 18-39 - DEN · WOMEN 3.5 - ADULT 18-39 - DEN

6 players · average NTRP 3.75 / COLORADO

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule5 played
2022-07-14vs LEBTC BLUEWon 10
W#1 Female SinglesMichela Zafferani vs Kayley Green6-4, 6-1
2022-07-07vs PH GREENSplit 11
L#1 Female SinglesMegan Gunden vs Kara Robbins3-6, 3-6
W#2 Female SinglesMichela Zafferani vs Emma Katubig6-1, 6-1
2022-06-23vs LEBTC BLUEWon 10
W#2 Female SinglesMegan Gunden vs Marlyse Aguirre6-4, 6-4
2022-06-16vs PH GREENWon 20
W#1 Female SinglesMichela Zafferani vs Laura Kane6-3, 6-2
W#2 Female SinglesMegan Gunden vs Lina Politano6-3, 2-6, 1-0
2022-06-09vs NJ REDSplit 11
L#1 Female DoublesAudrey Hamilton / Michela Zafferani vs Kim Betzner / Natalie Schaefer1-6, 6-2, 1-0
W#1 Female SinglesMegan Gunden vs Jeska Jurasic2-6, 7-5, 1-0
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 WOMEN 3.5 - ADULT 18-39 - DEN 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 3.47 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.

Erica Nollen
published 4
3.54
Michela Zafferani
usually #1 Female Singles 50%, also #1 Female Doubles 25% · published 4
3.52
Rachel Williams
published
3.47
Laura Wasserman
published
3.43
Megan Gunden
usually #1 Female Singles 50%, also #2 Female Singles 50% · published 3.5
3.38
Audrey Hamilton
published 3.5
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.

Laura Wasserman + Rachel Williams301160% games+6.0% vs expected
Audrey Hamilton + Erica Nollen19660% games+5.5% vs expected
Rachel Williams + Megan Gunden5066% games+2.4% vs expected
Audrey Hamilton + Michela Zafferani4456% games+0.4% vs expected
Audrey Hamilton + Rachel Williams314 matchesnot enough data
Michela Zafferani + Megan Gunden404 matchesnot enough data
Audrey Hamilton + Laura Wasserman213 matchesnot enough data
Audrey Hamilton + Megan Gunden303 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
Erica Nollen
64W–28L career · no lines in 2022
not enough data
4
Michela Zafferani
102W–61L career · 4 lines in 2022
37%63%<1%
3.54
Rachel Williams
89W–23L career · no lines in 2022
<1%44%56%
3.52
Laura Wasserman
70W–48L career · no lines in 2022
<1%59%41%
3.47
3.5
Megan Gunden
106W–51L career · 4 lines in 2022
<1%70%30%
3.43
3.5
Audrey Hamilton
86W–47L career · no lines in 2022
<1%82%18%
3.38

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.