Teams

Bryan/Yalavarthi

2022 Adult 40 & Over · Women 3.5 DAY

13 players · average NTRP 3.62 / ST. LOUIS

View scouting list →
Schedule
Flight standings7 teams · Women 3.5 DAY
TeamWLInd. WInd. LSets lostGames lost
1Reilly/Wilken52171124236
2Heitz/Eveker52181024232
3Mrazek/McKie43171132251
4Peterson/Millonas43131535269
5Bryan/Yalavarthi34151331247
6Stobie/Causey25111740307
7Coomes/Bleyer1662247300

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 3.42 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.

3.77
Katie Spencer
usually #2 Doubles 43%, also #3 Doubles 43% · published
3.69
Kayla Nieman
usually #1 Doubles 82%, also #2 Doubles 9% · published
3.64
Erica Yalavarthi
usually #1 Doubles 55%, also #2 Doubles 27% · published 4
3.61
Nancy Kraemer
usually #1 Doubles 63%, also #2 Doubles 25% · published
3.58
Maggie Desai
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.44
Shannon Bryan
usually #2 Doubles 44%, also #1 Doubles 44% · published
3.38
Laura Boeker
usually #2 Doubles 50%, also #1 Singles 20% · published
3.37
Heather Bartling
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
Anne Roth
usually #3 Doubles 88%, also #1 Singles 13% · published 3.5
3.19
Tara Freese Clifford
usually #2 Doubles 50%, also #3 Doubles 33% · published
3.17
Mary Alice Grady
usually #3 Doubles 50%, also #2 Doubles 25% · published
3.09
Mary Handley
usually #3 Doubles 50%, also #1 Singles 25% · published
3.06
Amy Fikes
usually #2 Doubles 75%, also #3 Doubles 25% · 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.

Heather Bartling + Katie Spencer6074% games+19.3% vs expected
Kayla Nieman + Laura Boeker9171% games+18.6% vs expected
Maggie Desai + Katie Spencer7167% games+16.5% 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
Kayla Nieman + Erica Yalavarthi22760% games+11.8% 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.

Katie Spencer
58W–9L career · 7 lines in 2022
2%94%4%
3.77
Kayla Nieman
145W–35L career · 11 lines in 2022
7%92%1%
3.69
4
Erica Yalavarthi
165W–82L career · 11 lines in 2022
14%86%<1%
3.64
Nancy Kraemer
144W–74L career · 8 lines in 2022
19%80%<1%
3.61
Maggie Desai
115W–42L career · 3 lines in 2022
<1%26%74%
3.58
Shannon Bryan
173W–81L career · 9 lines in 2022
69%31%<1%
3.44
Laura Boeker
109W–63L career · 10 lines in 2022
<1%82%18%
3.38
3.5
Heather Bartling
94W–54L career · 2 lines in 2022
<1%84%16%
3.37
3.5
Anne Roth
13W–7L career · 8 lines in 2022
not enough data
Tara Freese Clifford
111W–55L career · 6 lines in 2022
7%92%1%
3.19
Mary Alice Grady
83W–63L career · 8 lines in 2022
9%90%1%
3.17
Mary Handley
88W–79L career · 8 lines in 2022
25%75%<1%
3.09
3.5
Amy Fikes
88W–62L career · 8 lines in 2022
33%67%<1%
3.06

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.