Teams

SFV-Great Shots/D Ho & S Chang

2025 SoCal Doubles 18 SFV Fall WE · SFV 18 WEEKEND - Women 3.0

19 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 →

Flight standings for SFV 18 WEEKEND - Women 3.0 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 2.86 estimated across 19 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.

3.08
Su Li
published
3.00
Dylan Nogay
usually #2 Doubles 100% · published 3
2.99
Cynthia Su
published 3
2.97
Lia Durham
published
2.96
Sonia Chan
published
2.94
Sumi Im
published
2.93
Stacy Ball
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
2.89
Diep Ho
published 3
2.86
Alice Markowski
usually #1 Doubles 100% · published 3
2.84
Sabrina Chang
published
2.84
Jackie Yi
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
2.81
Christine Chu
published 3
2.77
Jin Kim
published
2.77
Noel Minor
published
2.76
Elsa Busch
published
2.74
Aileen Mesina
usually #3 Doubles 75%, also #2 Doubles 25% · published 3
2.74
Cynthia Jordan
published 3
2.74
Elizabeth Woo
published
2.71
Keiko Handman
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.

Elsa Busch + Keiko Handman5749% games−1.4% vs expected
Sabrina Chang + Diep Ho314 matchesnot enough data
Sabrina Chang + Cynthia Su224 matchesnot enough data
Diep Ho + Sonia Chan314 matchesnot enough data
Jackie Yi + Cynthia Su134 matchesnot enough data
Dylan Nogay + Jackie Yi303 matchesnot enough data
Aileen Mesina + Elsa Busch123 matchesnot enough data
Elizabeth Woo + Cynthia Jordan213 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.

Su Li
32W–26L career · no lines in 2025
<1%28%72%
3.08
3
Dylan Nogay
81W–43L career · 1 line in 2025
<1%49%51%
3.00
3
Cynthia Su
30W–17L career · no lines in 2025
<1%54%46%
2.99
Lia Durham
5W–2L career · no lines in 2025
0%<1%>99%
2.97
Sonia Chan
20W–5L career · no lines in 2025
<1%60%40%
2.96
Sumi Im
18W–12L career · no lines in 2025
<1%67%33%
2.94
3
Stacy Ball
131W–150L career · 3 lines in 2025
<1%69%31%
2.93
3
Diep Ho
20W–16L career · no lines in 2025
<1%78%22%
2.89
3
Alice Markowski
70W–69L career · 2 lines in 2025
<1%83%16%
2.86
Sabrina Chang
29W–12L career · no lines in 2025
0%1%99%
2.84
3
Jackie Yi
39W–37L career · 3 lines in 2025
1%87%12%
2.84
3
Christine Chu
12W–4L career · no lines in 2025
1%90%9%
2.81
Jin Kim
13W–12L career · no lines in 2025
3%92%5%
2.77
Noel Minor
6W–10L career · no lines in 2025
3%92%5%
2.77
Elsa Busch
9W–12L career · no lines in 2025
3%93%4%
2.76
3
Aileen Mesina
34W–39L career · 4 lines in 2025
4%93%3%
2.74
3
Cynthia Jordan
6W–7L career · no lines in 2025
4%92%3%
2.74
Elizabeth Woo
9W–9L career · no lines in 2025
0%4%96%
2.74
Keiko Handman
6W–10L career · no lines in 2025
7%91%2%
2.71

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.