Teams

Great Shots Singles/Chang-Ho/Fremont

2026 Team Singles 18+ SFV Winter · Spring

14 players · average NTRP 3.00 / SO.CALIFORNIA

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 →
Schedule8 played
2026-05-23vs LLW SFV PPBs/Chu/CSUNLost 12
W#1 SinglesBianca Barredo Higgins vs Wendy Correa6-2, 6-3
L#2 SinglesElizabeth Woo vs Hillary Williams3-6, 6-4, 0-1
L#3 SinglesNazli Alimi vs Dylan Nogay3-6, 3-6
W#1 SinglesSonia Chan vs Susanna Lovell0-6, 6-3, 1-0
W#2 SinglesCynthia Su vs Gabriela Ioana Bernacchi6-0, 6-1
W#3 SinglesJin Kim vs Elke Dobrowoslki6-0, 6-4
W#1 SinglesSonia Chan vs Zenaida Siojo6-4, 6-1
W#2 SinglesKimberly Ndombe vs Molly Jackson6-2, 6-3
W#3 SinglesDeborah Kim vs Giovanna Insua6-3, 6-0
W#2 SinglesKimberly Ndombe vs Courtney Bramstedt6-4, 3-5, 1-0
W#3 SinglesMaya Joko vs Cassandra Jean Amell6-2, 6-3
2026-03-29vs LLW SFV PPBs/Chu/CSUNLost 12
W#1 SinglesDeborah Kim vs Diana Guevara6-4, 6-4
L#2 SinglesJin Kim vs Lourdes Duarte2-6, 5-7
L#3 SinglesYena Hong vs Sara Lee1-6, 1-6
W#1 SinglesElizabeth Woo vs Michelle Sarraf6-2, 6-3
W#2 SinglesNazli Alimi vs Denise Harris5-7, 2-1, 1-0
W#3 SinglesYena Hong vs Gillian Wiener4-6, 6-3, 1-0
W#2 SinglesBianca Barredo Higgins vs Giovanna Insua6-1, 6-5
W#1 SinglesCynthia Su vs Tracy Leiterman6-1, 6-3
L#2 SinglesMaya Joko vs Joann Buckley Collins4-6, 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 · Spring
TeamWLInd. WInd. LSets lostGames lost
1LLW SFV PPBs/Chu/CSUN6215922192
2Great Shots Singles/Chang-Ho/Fremont5318616168
33.0 Racketeers Singles/Ortiz-Bramstedt/Fremont53121227205
4Absolutely Smashing 3.0 Singles/MacEwan/Burbank2691531235
5Out of the Gate/Dobrowolski/Balboa2661838232

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 2.85 estimated across 13 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.

3.15
Penny Zhang
usually #1 Singles 75%, also #2 Singles 25% · published
3.03
Bianca Barredo Higgins
usually #1 Singles 50%, also #2 Singles 50% · published 3
2.99
Cynthia Su
usually #2 Singles 50%, also #1 Singles 50% · published 3
2.96
Sonia Chan
usually #1 Singles 100% · published
2.95
Kimberly Ndombe
usually #2 Singles 100% · published
2.89
Diep Ho
published 3
2.87
Deborah Kim
usually #3 Singles 50%, also #1 Singles 50% · published 3
2.84
Sabrina Chang
published
2.77
Jin Kim
usually #3 Singles 50%, also #2 Singles 50% · published
ANALILY PARK
published 3
2.74
Elizabeth Woo
usually #2 Singles 50%, also #1 Singles 50% · published
2.71
Nazli Alimi
usually #3 Singles 50%, also #2 Singles 50% · published
2.64
Maya Joko
usually #3 Singles 50%, also #2 Singles 50% · published
2.56
Yena Hong
usually #3 Singles 100% · 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.

Penny Zhang + Sabrina Chang5068% games+6.4% vs expected
Sabrina Chang + Diep Ho314 matchesnot enough data
Sabrina Chang + Cynthia Su224 matchesnot enough data
Diep Ho + Sonia Chan314 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.

Penny Zhang
51W–11L career · 4 lines in 2026
0%<1%>99%
3.15
3
Bianca Barredo Higgins
8W–6L career · 2 lines in 2026
<1%40%60%
3.03
3
Cynthia Su
30W–17L career · 2 lines in 2026
<1%54%46%
2.99
Sonia Chan
20W–5L career · 2 lines in 2026
<1%60%40%
2.96
Kimberly Ndombe
9W–6L career · 2 lines in 2026
<1%63%37%
2.95
3
Diep Ho
20W–16L career · no lines in 2026
<1%78%22%
2.89
3
Deborah Kim
23W–17L career · 2 lines in 2026
<1%82%18%
2.87
Sabrina Chang
29W–12L career · no lines in 2026
0%1%99%
2.84
Jin Kim
13W–12L career · 2 lines in 2026
3%92%5%
2.77
3
ANALILY PARK
2W–4L career · no lines in 2026
not enough data
Elizabeth Woo
9W–9L career · 2 lines in 2026
0%4%96%
2.74
Nazli Alimi
8W–5L career · 2 lines in 2026
7%91%2%
2.71
Maya Joko
9W–10L career · 2 lines in 2026
16%84%1%
2.64
Yena Hong
6W–6L career · 2 lines in 2026
33%67%<1%
2.56

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.