Teams

Team 2 Trifecta

2026 NOVA Tri-Level · NOVA Tri-Level 4.5, 4.0, 3.5 Women

17 players · average NTRP 3.82 / VIRGINIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule6 played
2026-08-25vs Team 2 Called To ServeWon 10
W#2 DoublesCory Brown / Julianne Nitta vs Melanie Regan / Leah Wilson5-7, 5-3
2026-08-19vs Team 5 Graces Aces High TriLost 02
L#1 DoublesEmma Shine / Jessica Coleman vs Danielle Abraham / Leah Noonan0-6, 4-6
L#2 DoublesMary Arrington / Laura Gori vs Margarita Baldwin / Stephanie Yeager4-6, 3-6
2026-08-18vs Team 6 YangLost 01
L#2 DoublesCory Brown / Wendy Beale vs Yucong Gao / Menglun Qin4-6, 3-4
2026-08-09vs Team 3 Honey DeucesLost 01
L#3 DoublesSmita Aguiar / Kim Whittaker vs Rayana Marker / Leigh Neary0-6, 3-6
2026-08-02vs Team 4 MulanBloom TriLost 02
L#2 DoublesWendy Carvajal / Alaina Eveges vs Anna Chen / Yang Michelle Su2-6, 6-2, 0-1
L#3 DoublesKim Whittaker / Laura Gori vs Julia Hyeon / Yuqing Xiong5-7, 3-5
2026-07-30vs Team 1 NOVA CrushLost 12
L#1 DoublesChina Fowler / Connie McGowan vs Ana Maria Pena Castro / Laura Smith6-3, 2-6, 1-0
W#2 DoublesMary Arrington / Alaina Eveges vs Cara Holtmann / Whitney Slahetka7-5, 5-5
L#3 DoublesWendy Carvajal / Stacy Huisman vs Danielle Frazier / Erica Smedberg1-6, 4-6
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 standings5 teams · NOVA Tri-Level 4.5, 4.0, 3.5 Women
TeamWLInd. WInd. LSets lostGames lost
1Team 5 Graces Aces High Tri40111254
2Team 1 NOVA Crush21451086
3Team 4 MulanBloom Tri226614103
4Team 3 Honey Deuces134815108
5Team 2 Trifecta03271391

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 15 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.

4.46
Emma Shine
usually #1 Doubles 80%, also #2 Doubles 20% · published
4.27
Lily Riedel
published 4.5
4.21
China Fowler
usually #1 Doubles 100% · published 4.5
4.13
Kelly Domson
usually #1 Doubles 50%, also #2 Doubles 50% · published
4.13
Jessica Coleman
usually #1 Doubles 100% · published
4.00
Connie McGowan
usually #1 Doubles 100% · published 4.5
3.98
Kenna Brown
usually #2 Doubles 100% · published
3.69
Teresa Cochran
published 4
3.64
Mary Arrington
usually #2 Doubles 100% · published
3.48
Cory Brown
usually #2 Doubles 100% · published 3.5
3.44
Laura Gori
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.41
Smita Aguiar
usually #3 Doubles 100% · published 3.5
3.40
Stacy Huisman
usually #3 Doubles 100% · published 3.5
3.27
Kim Whittaker
usually #3 Doubles 100% · published 3.5
Alaina Eveges
usually #2 Doubles 100% · published 3.5
3.22
Wendy Carvajal
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
Genevieve Raphael
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.

Jessica Coleman + Emma Shine5260% games+9.6% vs expected
Kim Whittaker + Smita Aguiar4842% gamesnot enough data
Wendy Carvajal + Laura Gori3349% gamesnot enough data
Wendy Carvajal + Teresa Cochran224 matchesnot enough data
Lily Riedel + Jessica Coleman314 matchesnot enough data
Connie McGowan + China Fowler123 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.

Emma Shine
14W–9L career · 5 lines in 2026
<1%62%38%
4.46
4.5
Lily Riedel
152W–71L career · no lines in 2026
3%92%5%
4.27
4.5
China Fowler
52W–34L career · 1 line in 2026
7%91%2%
4.21
Kelly Domson
9W–10L career · 4 lines in 2026
17%82%<1%
4.13
Jessica Coleman
10W–6L career · 1 line in 2026
17%82%<1%
4.13
4.5
Connie McGowan
47W–57L career · 2 lines in 2026
49%51%<1%
4.00
Kenna Brown
11W–5L career · 1 line in 2026
<1%56%44%
3.98
4
Teresa Cochran
10W–17L career · no lines in 2026
9%90%1%
3.69
Mary Arrington
1W–6L career · 2 lines in 2026
16%84%1%
3.64
3.5
Cory Brown
48W–14L career · 2 lines in 2026
<1%55%45%
3.48
3.5
Laura Gori
13W–17L career · 2 lines in 2026
<1%66%34%
3.44
3.5
Smita Aguiar
60W–69L career · 1 line in 2026
<1%73%26%
3.41
3.5
Stacy Huisman
61W–29L career · 1 line in 2026
<1%77%23%
3.40
3.5
Kim Whittaker
62W–53L career · 2 lines in 2026
3%92%5%
3.27
3.5
Alaina Eveges
1W–1L career · type S · 2 lines in 2026
not enough data
3.5
Wendy Carvajal
44W–106L career · 5 lines in 2026
6%92%2%
3.22
Genevieve Raphael
0W–3L career · no lines in 2026
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.