Teams

Fox/Blake (F)

2022 Adult 18 & Over Fall · Women 4.0

20 players · average NTRP 4.17 / ST. LOUIS

View scouting list →
Schedule6 played
2021-12-05vs Fridley (F)Won 10
W#3 DoublesDana Mazzier / Robin Shiras-Cody vs Colleen Corbett / Elizabeth O'Keefe6-2, 6-2
2021-11-21vs Wilson/Spencer (FD)Lost 01
L#2 SinglesDeb Weis vs Wendi Creely0-6, 0-6
2021-11-07vs Harris (F)Lost 01
L#1 DoublesDana Mazzier / Margaret Wright vs Marianne Sokup / Julie Gordon2-6, 1-6
2021-10-31vs Blake/Fox (FD)Lost 01
L#1 SinglesDeb Weis vs Briana Hepfinger0-6, 3-6
2021-10-24Lost 01
L#2 SinglesDeb Weis vs Jane Fisher6-4, 3-6, 0-1
2021-09-19vs Wayt/Bell (F)Lost 01
L#2 SinglesDeb Weis vs Margaret Nosic6-4, 3-5, 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 standings11 teams · Women 4.0
TeamWLInd. WInd. LSets lostGames lost
1Valvo/Feldman (F)92342153469
2Goldmann (F)83352049462
3Harris (F)83312458483
4Fridley (F)74312459492
5Fox/Blake (F)65292655468
6Brewer/Patel (F)65302556480
7Wayt/Bell (F)65272864514
8Gundlefinger (F)47262964506
9Ross/Schlafly (F)38253068529
10Burke/Knittel (F)29173882555
11Zittel/Weiss (F)011163981559

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 3.59 estimated across 14 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.

Ann Schulte
usually #1 Doubles 54%, also #2 Doubles 46% · published 4.5
4.22
Elizabeth Chiapelas
usually #1 Doubles 65%, also #2 Doubles 35% · published 4.5
4.04
Sydney Loughran Wolf
usually #2 Doubles 43%, also #3 Doubles 29% · published
3.89
Molly Clipp
usually #1 Singles 63%, also #2 Singles 38% · published
3.85
Kelly Short
usually #3 Doubles 75%, also #2 Doubles 25% · published
3.76
Julie Conway
usually #3 Doubles 50%, also #2 Doubles 40% · published
Deb Weis
usually #2 Singles 75%, also #1 Singles 25% · published 4
3.73
Lotta Fox
usually #1 Doubles 46%, also #3 Doubles 36% · published
3.56
Valerie Green
usually #2 Singles 70%, also #1 Singles 30% · published
3.51
Robin Shiras-Cody
usually #1 Doubles 62%, also #2 Doubles 23% · published
3.49
Caroline Haas
usually #2 Doubles 33%, also #3 Doubles 33% · published 4
3.38
Michelle Kellogg
usually #3 Doubles 71%, also #2 Doubles 29% · published
3.34
Dana Mazzier
usually #1 Doubles 67%, also #2 Doubles 17% · published 4
3.30
Lisa Cancila
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.15
Margaret Wright
usually #1 Doubles 40%, also #3 Doubles 40% · published
3.05
Susan Blake
usually #2 Doubles 40%, also #3 Doubles 40% · published
Jess Friedman
usually #2 Doubles 56%, also #1 Doubles 44% · published
Lisa Moore
usually #1 Doubles 71%, also #2 Doubles 29% · published
Maite Nogales
usually #3 Doubles 36%, also #2 Doubles 36% · 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.

Julie Conway + Robin Shiras-Cody6257% games+8.2% vs expected
Jess Friedman + Ann Schulte29761% games+5.8% vs expected
Lisa Moore + Elizabeth Chiapelas241254% games+5.8% vs expected
Robin Shiras-Cody + Dana Mazzier462155% games+5.1% vs expected
Julie Conway + Kelly Short311257% games+4.3% vs expected
Caroline Haas + Robin Shiras-Cody4546% games+2.7% vs expected
Lotta Fox + Maite Nogales5552% games+2.2% vs expected
Lotta Fox + Sydney Loughran Wolf23358% games+1.7% 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.

4.5
Ann Schulte
33W–11L career · 13 lines in 2022
not enough data
4.5
Elizabeth Chiapelas
88W–52L career · 17 lines in 2022
4%94%2%
4.22
Sydney Loughran Wolf
41W–35L career · 7 lines in 2022
39%61%<1%
4.04
Molly Clipp
208W–86L career · 8 lines in 2022
<1%81%19%
3.89
Kelly Short
86W–47L career · 4 lines in 2022
<1%88%12%
3.85
Julie Conway
143W–87L career · 10 lines in 2022
2%94%3%
3.76
4
Deb Weis
19W–52L career · 4 lines in 2022
not enough data
4
Heather Bernstein
1W–4L career · no lines in 2022
not enough data
Lotta Fox
63W–85L career · 11 lines in 2022
98%2%<1%
3.73
Valerie Green
157W–133L career · 10 lines in 2022
32%68%<1%
3.56
Robin Shiras-Cody
145W–135L career · 13 lines in 2022
48%52%<1%
3.51
4
Caroline Haas
85W–124L career · 6 lines in 2022
53%47%<1%
3.49
Michelle Kellogg
107W–126L career · 7 lines in 2022
83%17%<1%
3.38
4
Dana Mazzier
105W–90L career · type A · 12 lines in 2022
89%11%<1%
3.34
Lisa Cancila
34W–97L career · 4 lines in 2022
94%6%<1%
3.30
Margaret Wright
80W–154L career · 10 lines in 2022
13%87%<1%
3.15
Susan Blake
64W–88L career · 5 lines in 2022
35%65%<1%
3.05
Jess Friedman
37W–20L career · 16 lines in 2022
not enough data
Lisa Moore
54W–61L career · 7 lines in 2022
not enough data
Maite Nogales
111W–68L career · 11 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.