Teams

Bryan/Yalavarthi

2023 Adult 40 & Over · Women 3.5 DAY

14 players · average NTRP 3.62 / ST. LOUIS

View scouting list →
Schedule5 played
2023-07-18vs Blake/EldridgeSplit 11
W#1 DoublesKayla Nieman / Shannon Bryan vs Margaret Howard / Susan Blake6-3, 6-1
L#3 DoublesMeghan Guerra / Laura Fields vs Carren Rogan / Pamela Rodriguez5-7, 4-6
2023-07-11vs Stobie/CauseyWon 10
W#1 DoublesMeghan Guerra / Kayla Nieman vs Michelle Wilson / Jennifer Risley6-3, 7-6
2023-06-27vs Coomes/BleyerSplit 11
W#1 DoublesShannon Bryan / Kayla Nieman vs Ann Martino / Cherylle Katz6-2, 6-2
L#1 SinglesMeghan Guerra vs Michelle Parmentier4-6, 1-6
2023-06-20vs Borghi/SteinhartWon 20
W#2 DoublesKayla Nieman / Erica Yalavarthi vs Jennifer Kunzi / Laurie Walden7-6, 6-2
W#3 DoublesHeather Bartling / Meghan Guerra vs Amy Mayfield / Terri Staten6-7, 6-3, 1-0
2023-05-30vs Heitz/EvekerLost 01
L#3 DoublesMeghan Guerra / Anne Roth vs Lauri Heitz / Anne Ross5-7, 3-6
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 standings8 teams · Women 3.5 DAY
TeamWLInd. WInd. LSets lostGames lost
1Bryan/Yalavarthi52161227219
2Heitz/Eveker52171127249
3Borghi/Steinhart43151328226
4Stobie/Causey43141431234
5Coomes/Bleyer34161230255
6Blake/Eldridge34121633264
7Peterson25121633250
8Moore/Thomas25101838275

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 12 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.

3.69
Kayla Nieman
usually #1 Doubles 75%, also #2 Doubles 25% · published
3.64
Erica Yalavarthi
usually #2 Doubles 60%, also #1 Singles 20% · published 4
3.61
Nancy Kraemer
usually #1 Doubles 43%, also #1 Singles 29% · published
3.58
Maggie Desai
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.56
Missy McCormick
usually #1 Doubles 60%, also #1 Singles 20% · published
3.44
Shannon Bryan
usually #2 Doubles 50%, also #1 Doubles 33% · published
3.38
Laura Boeker
usually #2 Doubles 43%, also #3 Doubles 29% · published
3.37
Heather Bartling
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
Anne Roth
published 3.5
3.17
Mary Alice Grady
usually #1 Doubles 60%, also #3 Doubles 40% · published
3.09
Mary Handley
usually #2 Doubles 57%, also #3 Doubles 43% · published
3.06
Meghan Guerra
usually #3 Doubles 60%, also #1 Singles 20% · published
3.06
Amy Fikes
usually #2 Doubles 67%, also #1 Doubles 17% · published 3.5
Laura Fields
usually #3 Doubles 60%, also #1 Singles 40% · 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.

Kayla Nieman + Laura Boeker9171% games+18.6% vs expected
Maggie Desai + Nancy Kraemer11169% games+15.8% vs expected
Maggie Desai + Mary Alice Grady5264% games+14.5% vs expected
Nancy Kraemer + Mary Alice Grady5172% games+14.1% vs expected
Kayla Nieman + Nancy Kraemer5162% games+13.7% vs expected
Meghan Guerra + Erica Yalavarthi4166% games+12.6% vs expected
Kayla Nieman + Erica Yalavarthi22760% games+11.8% vs expected
Heather Bartling + Kayla Nieman6259% games+9.6% 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.

Kayla Nieman
145W–35L career · 4 lines in 2023
7%92%1%
3.69
4
Erica Yalavarthi
165W–82L career · 5 lines in 2023
14%86%<1%
3.64
Nancy Kraemer
144W–74L career · 7 lines in 2023
19%80%<1%
3.61
Maggie Desai
115W–42L career · 3 lines in 2023
<1%26%74%
3.58
Missy McCormick
87W–89L career · 5 lines in 2023
34%66%<1%
3.56
Shannon Bryan
173W–81L career · 6 lines in 2023
69%31%<1%
3.44
Laura Boeker
109W–63L career · 7 lines in 2023
<1%82%18%
3.38
3.5
Heather Bartling
94W–54L career · 5 lines in 2023
<1%84%16%
3.37
3.5
Anne Roth
13W–7L career · no lines in 2023
not enough data
Mary Alice Grady
83W–63L career · 5 lines in 2023
9%90%1%
3.17
Mary Handley
88W–79L career · 7 lines in 2023
25%75%<1%
3.09
Meghan Guerra
60W–54L career · 5 lines in 2023
31%69%<1%
3.06
3.5
Amy Fikes
88W–62L career · 6 lines in 2023
33%67%<1%
3.06
Laura Fields
42W–37L career · 5 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.