Teams

BP-Tippins/Burks

2025 · 2026 SATA USTA Adult 18 & Over (Women) - Fall

20 players · average NTRP 3.83 / GEORGIA

View scouting list →
Schedule6 played
2025-12-06Won 10
W#2 DoublesAsha Richards-Davis / Brienne Walsh vs Shayn Bausch / Dede Laird6-2, 6-0
2025-11-22Lost 01
L#2 DoublesMichelle Monahan / Asha Richards-Davis vs Sarah Pounders / Anne Brooks3-6, 6-4, 1-0
2025-10-18Lost 01
L#2 DoublesHannah Tomlinson / Kelly McKee vs Heidi Bristol / Kristine Sheehan0-6, 2-6
2025-10-04vs BP-KenkelLost 01
L#1 DoublesMichelle Monahan / Asha Richards-Davis vs Christy Andrews / Taya Person2-6, 3-6
2025-09-13vs SATA/Jennifer SmithLost 02
L#1 DoublesHannah Tomlinson / Tracy Copenhaver vs Jennifer Smith / Sarah Berg3-6, 3-6
L#3 DoublesKatie Helmly / Asha Richards-Davis vs Polly Duck / Rene Russell6-3, 3-6, 0-1
2025-09-06vs BP-KenkelWon 10
W#2 DoublesTracy Burks / Asha Richards-Davis vs Ashley Hahn / Maria Andersen6-3, 6-2
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 standings4 teams · 2026 SATA USTA Adult 18 & Over (Women) - Fall
TeamWLInd. WInd. LSets lostGames lost
1SATA/Jennifer Smith72311433320
2BP-Tippins/Burks72301535338
3BP-Kenkel45202555440
4BP-Spigner/Frost0993676497

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 3.78 estimated across 20 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.

4.02
Tracy Copenhaver
usually #1 Doubles 50%, also #2 Doubles 42% · published
3.99
Brienne Walsh
usually #1 Doubles 38%, also #2 Singles 38% · published 4
3.96
Mary Tippins
usually #1 Doubles 50%, also #2 Singles 50% · published
3.91
Yvonne Jouffrault
usually #1 Singles 54%, also #2 Doubles 23% · published
3.91
Asha Richards-Davis
usually #2 Doubles 60%, also #3 Doubles 20% · published 4
3.90
Pat Ventura
usually #1 Doubles 57%, also #2 Doubles 29% · published
3.90
Rachel Lovett
usually #2 Doubles 46%, also #1 Doubles 23% · published
3.87
Tish Elizalde
usually #1 Doubles 70%, also #2 Doubles 20% · published
3.86
Michelle Monahan
usually #1 Doubles 47%, also #2 Doubles 41% · published
3.85
Mary Ann Borysowicz
usually #2 Doubles 56%, also #1 Doubles 33% · published
3.83
Katie Helmly
usually #3 Doubles 43%, also #1 Doubles 43% · published
3.83
Tracy Burks
usually #2 Doubles 60%, also #3 Doubles 20% · published
3.78
Bernadette Staudt
usually #1 Doubles 44%, also #2 Doubles 33% · published 4
3.75
Megan Hollis
usually #3 Doubles 50%, also #1 Doubles 38% · published
3.67
Deepa Kayyar
usually #2 Doubles 44%, also #1 Singles 22% · published 3.5
3.67
Kelly Pendarvis
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.59
Carrie Coggins
usually #1 Doubles 43%, also #1 Singles 29% · published 3.5
3.57
Hannah Tomlinson
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.47
Tobia Makover
usually #1 Doubles 50%, also #3 Doubles 33% · published
3.25
Lindsey Eberle
usually #2 Singles 50%, also #3 Doubles 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.

Rachel Lovett + Deepa Kayyar4175% games+23.3% vs expected
Brienne Walsh + Asha Richards-Davis7075% games+11.8% vs expected
Pat Ventura + Megan Hollis8851% games+8.6% vs expected
Tracy Copenhaver + Michelle Monahan8166% games+4.3% vs expected
Mary Tippins + Michelle Monahan3357% games+3.4% vs expected
Katie Helmly + Asha Richards-Davis3253% games+1.6% vs expected
Tobia Makover + Rachel Lovett10655% games−1.2% vs expected
Bernadette Staudt + Tracy Burks4253% 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.

Tracy Copenhaver
28W–8L career · 12 lines in 2026
<1%43%57%
4.02
4
Brienne Walsh
59W–17L career · 8 lines in 2026
<1%53%47%
3.99
Mary Tippins
58W–18L career · 6 lines in 2026
<1%63%37%
3.96
Yvonne Jouffrault
28W–18L career · 13 lines in 2026
<1%76%24%
3.91
4
Asha Richards-Davis
18W–9L career · 5 lines in 2026
<1%76%24%
3.91
Pat Ventura
47W–21L career · 7 lines in 2026
<1%77%23%
3.90
Rachel Lovett
74W–31L career · 13 lines in 2026
<1%79%21%
3.90
Tish Elizalde
25W–16L career · 10 lines in 2026
<1%84%16%
3.87
Michelle Monahan
93W–47L career · 17 lines in 2026
<1%85%14%
3.86
Mary Ann Borysowicz
43W–18L career · 9 lines in 2026
<1%87%13%
3.85
Katie Helmly
26W–20L career · 7 lines in 2026
1%89%10%
3.83
Tracy Burks
24W–7L career · 5 lines in 2026
1%90%10%
3.83
4
Bernadette Staudt
31W–29L career · 9 lines in 2026
1%94%5%
3.78
Megan Hollis
49W–25L career · 8 lines in 2026
3%95%3%
3.75
3.5
Deepa Kayyar
53W–8L career · 9 lines in 2026
<1%9%91%
3.67
Kelly Pendarvis
6W–9L career · 2 lines in 2026
10%89%<1%
3.67
3.5
Carrie Coggins
45W–12L career · 7 lines in 2026
<1%25%75%
3.59
4
Hannah Tomlinson
19W–30L career · 2 lines in 2026
30%70%<1%
3.57
Tobia Makover
43W–23L career · 6 lines in 2026
58%42%<1%
3.47
Lindsey Eberle
8W–13L career · 4 lines in 2026
3%95%2%
3.25

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.