Teams

CDTA F Combo W8.5 Glenbrook Turdo Sat 3 $25

CDTA Fall Combo · CDTA Fall Combo W 8.5

18 players · average NTRP 4.20 / CHICAGO

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 →
Schedule6 played
W#1 DoublesPamela Blumenthal / Heidi Nickel vs Julie Weidner / Elizabeth Burns6-4, 6-7, 1-0
L#2 DoublesLisa Hans / Kimberly Horberg vs Eileen Lee / Amanda Ellsworth2-6, 2-6
W#1 DoublesHeidi Nickel / Kimberly Horberg vs Dawn Baumann / Michele Ihlanfeldt1-6, 6-3, 1-0
L#2 DoublesJohanna Raimond / Lisa Hans vs Elizabeth Quigley / Christine Meade5-7, 3-6
L#1 DoublesAlison Donnelly / Heidi Nickel vs Michelle Lee / Elizabeth Burns5-7, 2-6
L#2 DoublesPamela Blumenthal / Marina Minkina vs Alexandra Lichtor / Julie Weidner6-4, 1-6, 0-1
L#1 DoublesHeidi Nickel / Emily Shamrock vs Eileen Lee / Mary Therese Lee5-7, 6-2, 0-1
L#2 DoublesPamela Leichtling / Robin Bokor vs Jean Soh / Elizabeth Quigley3-6, 3-6
W#1 DoublesAlison Donnelly / Emily Shamrock vs Mary Therese Lee / Michelle Lee6-3, 6-3
L#2 DoublesElizabeth Burns / Angela Hanson vs Pamela Young - * / Pamela Blumenthal - *4-6, 4-6
W#1 DoublesElizabeth Druffel / Johanna Raimond vs Stephanie Thompson / Mary Therese Lee6-4, 6-2
L#2 DoublesEmily Shamrock / Laurie Gray vs Jean Soh / Angela Hanson3-6, 3-6
L#3 DoublesRobin Bokor / Lisa Hans vs Maria Lobo-Corey / Julie Weidner6-7, 4-6
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 standings3 teams · CDTA Fall Combo W 8.5
TeamWLInd. WInd. LSets lostGames lost
1CDTA F Combo W8.5 Tam Corey Sun 6 $227116818152
2(DROPPED) CDTA F Combo W8.5 Lake Bluff Cal Sat 6 $20000000
3CDTA F Combo W8.5 Glenbrook Turdo Sat 3 $250851940260

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 3.75 estimated across 10 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.

4.29
Emily Shamrock
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
Christina Turdo
published 4.5
4.10
Kimberly Horberg
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.00
Pamela Blumenthal
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
3.84
Alison Donnelly
usually #1 Doubles 100% · published 4.5
3.80
Johanna Raimond
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
Dayle Levine
usually #1 Doubles 100% · published 4
3.69
Heidi Nickel
usually #1 Doubles 100% · published 4
3.64
Laurie Gray
usually #2 Doubles 100% · published
3.46
Pamela Leichtling
usually #2 Doubles 100% · published 4
3.34
Lisa Hans
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.31
Marina Minkina
usually #1 Doubles 60%, also #2 Doubles 40% · published 3.5
Elizabeth Druffel
usually #1 Doubles 100% · published
Jenny Nolan
published
Kathleen Sullivan
published
Maribeth Rivera
published
Pamela Young
usually #2 Doubles 100% · published
Robin Bokor
usually #3 Doubles 50%, also #2 Doubles 50% · 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.

Dayle Levine + Heidi Nickel10263% games+11.5% vs expected
Lisa Hans + Johanna Raimond3448% games+1.5% vs expected
Alison Donnelly + Laurie Gray18761% games+1.0% vs expected
Lisa Hans + Heidi Nickel8655% games−6.5% vs expected
Alison Donnelly + Emily Shamrock3438% games−8.5% vs expected
Lisa Hans + Pamela Leichtling21140% games−12.4% vs expected
Marina Minkina + Kathleen Sullivan4847% gamesnot enough data
Lisa Hans + Laurie Gray5649% gamesnot 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.

4.5
Emily Shamrock
123W–81L career · 3 lines in 2022
1%93%6%
4.29
4.5
Christina Turdo
6W–4L career · no lines in 2022
not enough data
4.5
Kimberly Horberg
92W–28L career · 2 lines in 2022
22%78%<1%
4.10
4.5
Pamela Blumenthal
36W–60L career · 3 lines in 2022
49%51%<1%
4.00
4.5
Alison Donnelly
119W–95L career · 2 lines in 2022
89%11%<1%
3.84
4
Johanna Raimond
103W–71L career · 2 lines in 2022
1%93%6%
3.80
4
Dayle Levine
22W–10L career · 1 line in 2022
not enough data
4
Heidi Nickel
88W–80L career · 4 lines in 2022
7%92%1%
3.69
Laurie Gray
162W–113L career · 1 line in 2022
14%85%<1%
3.64
4
Pamela Leichtling
49W–113L career · 1 line in 2022
63%37%<1%
3.46
Lisa Hans
71W–103L career · 3 lines in 2022
88%12%<1%
3.34
3.5
Marina Minkina
90W–129L career · 5 lines in 2022
1%92%7%
3.31
Elizabeth Druffel
9W–2L career · 1 line in 2022
not enough data
Jenny Nolan
18W–3L career · no lines in 2022
not enough data
Kathleen Sullivan
23W–40L career · no lines in 2022
not enough data
Maribeth Rivera
15W–7L career · no lines in 2022
not enough data
Pamela Young
32W–18L career · 1 line in 2022
not enough data
Robin Bokor
5W–17L career · 2 lines in 2022
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.