Teams

Bryan/Yalavarthi

2024 Adult 40 & Over · Women 3.5 DAY

14 players · average NTRP 3.62 / ST. LOUIS

View scouting list →
Schedule4 played
2024-07-02vs STLWC/Peterson/40+Over3.5WSplit 11
W#1 DoublesKayla Nieman / Laura Boeker vs Tina McWard / Michelle Millonas6-4, 6-4
L#3 DoublesMary Handley / Meghan Guerra vs Rebecca Welton / Vicki Moran2-6, 6-7
2024-06-25vs Bleyer/MartinoWon 20
W#1 DoublesShannon Bryan / Kayla Nieman vs Adele Ayres / Jackie Lombardi6-4, 6-2
W#4 DoublesMeghan Guerra / Anne Roth vs Kimberly LoPiccolo / Heather Koenig7-5, 6-1
2024-06-18vs STL/Blake/Eldridge/40&Over3.5WWon 10
W#3 DoublesLaura Boeker / Kayla Nieman vs Vickie Brandt / Carren Rogan6-2, 3-6, 1-0
2024-06-04vs Better Together (Heitz/Steinhart)Lost 01
L#1 DoublesErica Yalavarthi / Meghan Guerra vs Michele Christian / Laurie Walden3-6, 6-1, 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 standings10 teams · Women 3.5 DAY
TeamWLInd. WInd. LSets lostGames lost
1Hardebeck/White90321333321
2McKie/Mrazek72281738363
3Causey63301531349
4Bryan/Yalavarthi54252047385
5Lesire/Uelhof45252043378
6Blake/Reitz45261949404
7Peterson45202557413
8Reilly/Thomas45192658454
9Steinhart/Borghi27153067464
10AuBuchon/Blades0954080513

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 3.33 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 67%, also #3 Doubles 33% · published
3.64
Erica Yalavarthi
usually #2 Doubles 30%, also #1 Doubles 30% · published 4
3.61
Nancy Kraemer
usually #1 Doubles 43%, also #3 Doubles 29% · published
3.58
Maggie Desai
usually #2 Doubles 50%, also #1 Doubles 25% · published
3.44
Shannon Bryan
usually #2 Doubles 29%, also #1 Doubles 21% · published
3.38
Laura Boeker
usually #3 Doubles 38%, also #4 Doubles 25% · published
Anne Roth
published 3.5
3.17
Mary Alice Grady
usually #4 Doubles 22%, also #2 Doubles 22% · published
3.14
Desiree Wojciechowski
usually #1 Doubles 38%, also #2 Doubles 38% · published 3.5
3.09
Mary Handley
usually #4 Doubles 40%, also #3 Doubles 30% · published
3.08
Leslie Foss
usually #4 Doubles 60%, also #1 Singles 20% · published
3.06
Meghan Guerra
usually #3 Doubles 33%, also #1 Doubles 33% · published
3.06
Amy Fikes
usually #3 Doubles 67%, also #4 Doubles 11% · published 3.5
Laura Fields
usually #4 Doubles 75%, also #1 Singles 25% · 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
Mary Alice Grady + Leslie Foss5265% games+9.0% 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 · 3 lines in 2024
7%92%1%
3.69
4
Erica Yalavarthi
165W–82L career · 9 lines in 2024
14%86%<1%
3.64
Nancy Kraemer
144W–74L career · 7 lines in 2024
19%80%<1%
3.61
Maggie Desai
115W–42L career · 4 lines in 2024
<1%26%74%
3.58
Shannon Bryan
173W–81L career · 12 lines in 2024
69%31%<1%
3.44
Laura Boeker
109W–63L career · 7 lines in 2024
<1%82%18%
3.38
3.5
Anne Roth
13W–7L career · no lines in 2024
not enough data
Mary Alice Grady
83W–63L career · 8 lines in 2024
9%90%1%
3.17
3.5
Desiree Wojciechowski
99W–165L career · 8 lines in 2024
14%85%<1%
3.14
Mary Handley
88W–79L career · 9 lines in 2024
25%75%<1%
3.09
Leslie Foss
41W–52L career · 5 lines in 2024
26%74%<1%
3.08
Meghan Guerra
60W–54L career · 3 lines in 2024
31%69%<1%
3.06
3.5
Amy Fikes
88W–62L career · 9 lines in 2024
33%67%<1%
3.06
Laura Fields
42W–37L career · 4 lines in 2024
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.