Teams

AYTC-Penguins-Hsu

2025 Coed 18-39 · 4.0 Coed

14 players · average NTRP 3.69 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2025-03-16vs AYTC-Puffers-ChanLost 02
L#1 Female DoublesIllina Yang / Karen Pan vs Chelsea Li / Jessica Chen3-6
L#1 Male DoublesRaymond Lam / Ryan Nghi vs Francis Wu / Ryan Chan5-6
2025-03-09vs TCSP-Get Low-HaffnerLost 13
L#1 Female DoublesJutta Maas / Karen Pan vs Qiya Yin / Raveena Patil3-6
L#1 Female SinglesJutta Maas vs Qiya Yin2-6
L#1 Male DoublesZachary Hsiao / Ethan Lo vs William Chan / Tomas San Miguel1-6
W#1 Male SinglesRaymond Lam vs William Chan6-3
2025-03-02vs AYTC-HigashiLost 12
L#1 Female DoublesKimberly Lum / Jutta Maas vs Joyce Le / Van Duong3-6
W#1 Female SinglesJutta Maas vs Van Duong6-2
L#1 Male DoublesRyan Nghi / Ethan Lo vs Daniel Nguyen / John Vu4-6
2025-02-23vs HBSQ-ShalabyWon 21
L#1 Female DoublesKimberly Lum / Illina Yang vs Zoe Garrett / Jamie Schroeder5-6
W#1 Female SinglesIllina Yang vs Amarlin Distelhorst6-1
W#1 Male DoublesRaymond Lam / Jeffrey Duan vs Hesper Yu / Stan Steele6-2
2025-02-01vs FC-See Ball Hit Ball-LiWon 31
L#1 Female DoublesIllina Yang / Jutta Maas vs Alana Llacuna / Simran Khadka2-6
W#1 Female SinglesKimberly Lum vs Simran Khadka3-2
W#1 Male DoublesChris Hsu / Ryan Hung vs David Brenes / Kevin Kang6-2
W#1 Male SinglesChris Hsu vs Eliot Tong6-3
2025-01-25vs FC-LeeLost 04
L#1 Female DoublesIllina Yang / Alexis Gregerson vs Grace Yoon / Laura Araki1-4
L#1 Male DoublesJeffrey Duan / Raymond Lam vs Weiping Zhang / Adam Zhu5-6
L#1 Male SinglesZachary Hsiao vs OLIVER LEI0-6
L#1 Mixed DoublesRyan Nghi / Alexis Gregerson vs OLIVER LEI / Laura Araki4-6
L#1 Female DoublesAlexis Gregerson / Laura Tran vs Mycah Gambrell / Pia Westen4-6
L#1 Male DoublesRyan Hung / Ryan Nghi vs Jake McRoberts / Eliot Low1-6
L#1 Male SinglesZachary Hsiao vs Davis Axtman3-6
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 standings17 teams · 4.0 Coed
TeamWLInd. WInd. LSets lostGames lost
1TCSP-Get Low-Haffner07311111145
2FC-Lee07281414144
3AYTC-Puffers-Chan07241818178
4CP-The Ultimate YoungSterrs 2025-Shen07222020171
5FC-See Ball Hit Ball-Li07212121175
6AYTC-Higashi07152727205
7AYTC-Penguins-Hsu07132929198
8HBSQ-Shalaby07103232230
9MC-Heartbreakers-Lim08371111154
10AYTC-Khuc08331515179
11ETC-The Service Squad-Liang08242424220
12AYTC-Wu 4.008232525196
13FC-Hit Happens-Pham08222626201
14AYTC-Ungforced Errors08212727205
15TCSP-Dog Fight-Miller08202828224
16TCSP-Joie de Vivre-Epstein08183030222
17WSC-Serve-ivors-Le08173131230

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 3.53 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.

4.02
Raymond Lam
usually #1 Male Doubles 75%, also #1 Male Singles 25% · published
3.90
Illina Yang
usually #1 Female Doubles 75%, also #1 Female Singles 25% · published
3.83
Ryan Hung
usually #1 Male Doubles 100% · published 4
Alexis Gregerson
published 4
3.51
Ryan Nghi
usually #1 Male Doubles 75%, also #1 Mixed Doubles 25% · published 3.5
3.49
Chris Hsu
usually #1 Male Singles 100% · published 4
3.44
Jutta Maas
usually #1 Female Singles 67%, also #1 Female Doubles 33% · published 3.5
3.27
Karen Pan
usually #1 Female Doubles 63%, also #1 Female Singles 38% · published 3.5
3.26
Kimberly Lum
usually #1 Female Doubles 67%, also #1 Female Singles 33% · published
Jennifer Lee
published 3.5
3.07
Laura Tran
usually #1 Female Doubles 67%, also #1 Female Singles 33% · published 3.5
Ethan Lo
published
Jeffrey Duan
published
Zachary Hsiao
usually #1 Male Singles 67%, also #1 Male Doubles 33% · 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.

Kimberly Lum + Jennifer Lee033 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.

Raymond Lam
33W–29L career · 4 lines in 2025
<1%44%56%
4.02
Illina Yang
19W–10L career · 4 lines in 2025
<1%76%24%
3.90
4
Ryan Hung
13W–49L career · 2 lines in 2025
1%88%12%
3.83
4
Alexis Gregerson
1W–5L career · no lines in 2025
not enough data
3.5
Ryan Nghi
46W–26L career · 4 lines in 2025
<1%46%54%
3.51
4
Chris Hsu
46W–72L career · 1 line in 2025
53%47%<1%
3.49
3.5
Jutta Maas
100W–56L career · 6 lines in 2025
<1%65%35%
3.44
3.5
Karen Pan
65W–73L career · 8 lines in 2025
3%92%5%
3.27
Kimberly Lum
16W–38L career · 3 lines in 2025
3%93%4%
3.26
3.5
Jennifer Lee
3W–19L career · no lines in 2025
not enough data
3.5
Laura Tran
22W–47L career · 3 lines in 2025
31%69%<1%
3.07
Ethan Lo
5W–14L career · no lines in 2025
not enough data
Jeffrey Duan
12W–6L career · no lines in 2025
not enough data
Zachary Hsiao
12W–20L career · 3 lines in 2025
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.