Teams

Preissler - Serves You Right Tri

2026 Howard Tri-Level · Howard Tri-Level 3.5, 3.0, 2.5 Women

22 players · average NTRP 2.91 / MARYLAND

View scouting list →
Schedule9 played
2026-09-10vs Cannarsa - Social Net-WorkWon 21
W#1 DoublesJennifer Sinkule / Anna Kuligowski vs Melissa Williams / Suzanne McHugh6-1, 6-1
W#2 DoublesRebekah Noven / Miyeon Jeon vs Katie Cannarsa / Leigh Leslie7-5, 3-6, 1-0
L#3 DoublesBetsy Morris / Romina Averza vs Angela Mason / Ling Zheng4-6, 2-6
2026-09-02vs Solomon - Tri-Slice GirlsLost 12
W#1 DoublesNicole Oxenham / Jennifer Sinkule vs Heidi Brown / Archana Caballero6-2, 6-1
L#2 DoublesJulie Cabaniss / Rebecca Clark vs Lisa Carter / Lisa Alonso1-6, 6-4, 0-1
L#3 DoublesBetsy Morris / Michelle Shaffner vs Anna Manogue / Kaitlin Acharya3-6, 7-5, 0-1
2026-08-27vs Cannarsa - Social Net-WorkLost 12
L#1 DoublesLena Brandenburg / Marie Welsh vs Elizabeth Goldy / Cheryl Royce3-6, 4-6
W#2 DoublesChristine Fichtner / Lindsay Preissler vs Lisa Greenlee / Andrea Smolen6-3, 7-6
L#3 DoublesJacqueline Easley / Alanna Volatile vs Beverly Graham / Tannan Hagyard6-2, 2-6, 0-1
2026-08-12vs Solomon - Tri-Slice GirlsWon 30
W#1 DoublesKimberly LaRose / Marie Welsh vs Aidan Crowley / Sarah Wechsler6-3, 6-1
W#2 DoublesSandy Friedman / Christine Fichtner vs Christine Wallace / Lisa Alonso4-6, 6-3, 1-0
W#3 DoublesRomina Averza / Jennifer Chavez vs Katharine Mellendick / Anna Manogue6-1, 6-3
2026-08-03vs Solomon - Tri-Slice GirlsLost 12
L#1 DoublesAnna Kuligowski / Marie Welsh vs Deborah Dettmer / Christine Wallace1-6, 6-1, 0-1
W#2 DoublesMiyeon Jeon / Claire Taylor vs Erin Christensen / Sarah Wechsler6-3, 6-1
L#3 DoublesJacqueline Easley / Michelle Shaffner vs Anna Manogue / Gina Cawley6-3, 3-6, 0-1
2026-07-25vs Cannarsa - Social Net-WorkLost 12
L#1 DoublesKimberly LaRose / Jennifer Sinkule vs Elizabeth Goldy / Suzanne McHugh2-6, 2-6
L#2 DoublesRebecca Clark / Rebekah Noven vs Leigh Leslie / Cheryl Royce4-6, 3-6
W#3 DoublesMichelle Shaffner / Kelly Soderstrum vs Beverly Graham / Vera Hendon7-6, 5-3
2026-07-23vs Solomon - Tri-Slice GirlsWon 30
W#1 DoublesKaren Altman / Jennifer Sinkule vs Aidan Crowley / Shannon Sparklin6-1, 6-1
W#2 DoublesJulie Cabaniss / Rebecca Clark vs Lisa Carter / Sarah Wechsler6-7, 6-2, 1-0
W#3 DoublesJennifer Chavez / Kelly Soderstrum vs Emily Warner / Katharine Mellendick6-2, 6-1
2026-07-20vs Solomon - Tri-Slice GirlsWon 21
L#1 DoublesMiyeon Jeon / Anna Kuligowski vs Kathleen Cullins / Aidan Crowley7-5, 3-6, 0-1
W#2 DoublesRebekah Noven / Sandy Friedman vs Erin Christensen / Christine Wallace6-4, 6-4
W#3 DoublesJennifer Chavez / Betsy Morris vs Lisa Alonso / Katharine Mellendick7-5, 4-6, 1-0
2026-07-08vs Cannarsa - Social Net-WorkWon 21
L#1 DoublesAnna Kuligowski / Karen Altman vs Suzanne McHugh / Melissa Williams4-6, 7-6, 0-1
W#2 DoublesLindsay Preissler / Claire Taylor vs Sarah Lynne Walsh / Shannon Biggs2-6, 6-1, 1-0
W#3 DoublesAlanna Volatile / Betsy Morris vs Ling Zheng / Tannan Hagyard6-3, 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 standings3 teams · Howard Tri-Level 3.5, 3.0, 2.5 Women
TeamWLInd. WInd. LSets lostGames lost
1Cannarsa - Social Net-Work4111412115
2Preissler - Serves You Right Tri4212616142
3Solomon - Tri-Slice Girls1641737232

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 2.84 estimated across 22 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.

3.40
Jennifer Sinkule
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.30
Kimberly LaRose
usually #1 Doubles 100% · published 3.5
3.25
Marie Welsh
usually #1 Doubles 100% · published
3.16
Lena Brandenburg
usually #1 Doubles 100% · published 3
3.12
Anna Kuligowski
usually #1 Doubles 100% · published 3.5
3.09
Karen Altman
usually #1 Doubles 100% · published
3.06
Sandy Friedman
usually #2 Doubles 100% · published
3.04
Christine Fichtner
usually #2 Doubles 100% · published 3
2.98
Claire Taylor
usually #2 Doubles 100% · published 3
2.96
Miyeon Jeon
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.94
Nicole Oxenham
usually #1 Doubles 100% · published 3
2.89
Julie Cabaniss
usually #2 Doubles 100% · published 3
2.83
Rebecca Clark
usually #2 Doubles 100% · published
2.79
Lindsay Preissler
usually #3 Doubles 60%, also #2 Doubles 40% · published 3
2.66
Rebekah Noven
usually #2 Doubles 100% · published 3
2.62
Jennifer Chavez
usually #3 Doubles 100% · published
2.56
Michelle Shaffner
usually #3 Doubles 100% · published 2.5
2.45
Kelly Soderstrum
usually #3 Doubles 100% · published 2.5
2.42
Jacqueline Easley
usually #3 Doubles 100% · published 2.5
2.38
Romina Averza
usually #3 Doubles 100% · published 2.5
2.34
Alanna Volatile
usually #3 Doubles 100% · published 2.5
2.31
Betsy Morris
usually #3 Doubles 100% · published 2.5
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.

Kimberly LaRose + Marie Welsh4258% games+9.8% vs expected
Lena Brandenburg + Lindsay Preissler5358% games+7.9% vs expected
Rebecca Clark + Julie Cabaniss7449% games−0.7% vs expected
Lindsay Preissler + Claire Taylor3350% games−0.8% vs expected
Lindsay Preissler + Rebekah Noven314 matchesnot enough data
Lindsay Preissler + Jennifer Sinkule314 matchesnot enough data
Rebekah Noven + Miyeon Jeon224 matchesnot enough data
Michelle Shaffner + Kelly Soderstrum404 matchesnot 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.

3.5
Jennifer Sinkule
40W–25L career · 6 lines in 2026
<1%78%22%
3.40
3.5
Kimberly LaRose
147W–119L career · 2 lines in 2026
1%93%6%
3.30
Marie Welsh
14W–10L career · 3 lines in 2026
2%95%3%
3.25
3
Lena Brandenburg
93W–74L career · 1 line in 2026
<1%10%90%
3.16
3.5
Anna Kuligowski
39W–53L career · 4 lines in 2026
17%83%<1%
3.12
Karen Altman
10W–22L career · 2 lines in 2026
24%76%<1%
3.09
Sandy Friedman
5W–12L career · 2 lines in 2026
31%69%<1%
3.06
3
Christine Fichtner
40W–25L career · 2 lines in 2026
<1%37%63%
3.04
3
Claire Taylor
25W–12L career · 2 lines in 2026
<1%58%42%
2.98
3
Miyeon Jeon
143W–88L career · 3 lines in 2026
<1%62%38%
2.96
3
Nicole Oxenham
40W–27L career · 1 line in 2026
<1%67%33%
2.94
3
Julie Cabaniss
126W–124L career · 2 lines in 2026
<1%79%21%
2.89
Rebecca Clark
10W–5L career · 3 lines in 2026
1%90%9%
2.83
3
Lindsay Preissler
97W–96L career · 5 lines in 2026
1%93%5%
2.79
3
Rebekah Noven
53W–82L career · 3 lines in 2026
12%88%<1%
2.66
Jennifer Chavez
31W–31L career · 3 lines in 2026
17%82%<1%
2.62
2.5
Michelle Shaffner
33W–21L career · 3 lines in 2026
0%31%69%
2.56
2.5
Kelly Soderstrum
22W–11L career · 2 lines in 2026
0%66%34%
2.45
2.5
Jacqueline Easley
7W–17L career · 2 lines in 2026
0%72%28%
2.42
2.5
Romina Averza
30W–73L career · 2 lines in 2026
0%82%18%
2.38
2.5
Alanna Volatile
41W–78L career · 2 lines in 2026
0%89%11%
2.34
2.5
Betsy Morris
11W–11L career · 4 lines in 2026
0%93%7%
2.31

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.