Teams

GGP Equinox/Phengrasamy/San Francisco

2025 Tri-Level 3.5 · 4.0

9 players · average NTRP 4.00 / NO. CALIFORNIA

View scouting list →
Schedule3 played
2025-10-18vs The Waves/Gee/Half Moon BayWon 30
W#1 DoublesKatherine Wu / Jennifer Fong vs Alexandra Gunnell / Fenny Widjaja6-7, 6-1, 1-0
W#2 DoublesAmy Jiang / Mae Hoad vs Jillian Gee / Claire Toffey4-6, 6-3, 1-0
W#3 DoublesChristine Yeh / Suratwadee Lakornwong vs Karen Toledo / Theresa Goodwin6-1, 6-2
2025-10-17vs SFTC/Lu/San FranciscoWon 21
W#1 DoublesJennifer Fong / Jean To vs Lizzie Siegle / Helen Zhang4-6, 7-5, 1-0
L#2 DoublesAmy Jiang / La Phengrasamy vs Amanda Singer / Kelly Bennett4-6, 7-5, 0-1
W#3 DoublesSuratwadee Lakornwong / Nancy Wu vs Jess Sterrett / Marilena Gallotta6-4, 6-3
2025-10-17vs Unforced Fun/Stephens/San MateoWon 30
W#1 DoublesElaine Smith / Katherine Wu vs Nicole Stephens / Jennifer Yeager6-0, 6-4
W#2 DoublesEmily Huang / Mae Hoad vs Catherine Puzon / Christine Choye6-1, 7-6
W#3 DoublesNancy Wu / Lily Tan vs Tonya Vincent / Shelley Scott7-6, 0-6, 1-0
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 standings for 4.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.96 estimated across 9 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.

4.35
Jean To
usually #1 Doubles 100% · published
4.34
Elaine Smith
usually #1 Doubles 100% · published
4.25
Jennifer Fong
usually #1 Doubles 100% · published
4.11
Mae Hoad
usually #2 Doubles 100% · published
3.88
Amy Jiang
usually #2 Doubles 100% · published 4
3.81
La Phengrasamy
usually #2 Doubles 100% · published
3.72
Lily Tan
usually #3 Doubles 100% · published
3.60
Suratwadee Lakornwong
usually #3 Doubles 100% · published
3.54
Nancy Wu
usually #3 Doubles 100% · published
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.

Jean To
9W–3L career · 1 line in 2025
1%85%15%
4.35
Elaine Smith
20W–7L career · 1 line in 2025
1%87%12%
4.34
Jennifer Fong
14W–5L career · 2 lines in 2025
3%93%4%
4.25
Mae Hoad
13W–0L career · 2 lines in 2025
22%78%<1%
4.11
4
Amy Jiang
18W–3L career · 2 lines in 2025
<1%80%20%
3.88
La Phengrasamy
2W–3L career · 1 line in 2025
1%90%8%
3.81
Lily Tan
12W–4L career · 1 line in 2025
<1%6%94%
3.72
Suratwadee Lakornwong
32W–6L career · 2 lines in 2025
<1%24%76%
3.60
Nancy Wu
14W–10L career · 2 lines in 2025
39%61%<1%
3.54

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.