Teams

LA-SDNC 3.5 Ice Angles @FRCC/ Hyun

2024 SoCal Fall Doubles- SDNC WD Women's Holiday · SDNC - Women- 3.5 (Wed

14 players · average NTRP 3.70 / SAN DIEGO

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 SDNC - Women- 3.5 (Wed 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 3.42 estimated across 14 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.

4.00
Cristina Seidman
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.89
Meg Dawson
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.74
Alena Khoroshansky
usually #1 Doubles 67%, also #2 Doubles 17% · published 4
3.71
Nichole Dolinsky
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.39
Jennifer Hackett
published
3.38
Junli Feng
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.34
Ping Chen
published
3.34
Jodie Simbolon
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.32
Clare Lemon
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.26
Lara Mannell
usually #1 Doubles 63%, also #3 Doubles 38% · published 3.5
3.23
Katy Zhi
published 3.5
3.20
Jill McKee
published
3.14
Marisa Reinoso
usually #3 Doubles 100% · published 3.5
3.00
Jessica Valeri
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.

Nichole Dolinsky + Cristina Seidman36764% games+2.6% vs expected
Jodie Simbolon + Ping Chen4260% games+1.9% vs expected
Junli Feng + Jodie Simbolon6453% games−2.6% vs expected
Lara Mannell + Alena Khoroshansky3253% gamesnot enough data
Lara Mannell + Clare Lemon224 matchesnot enough data
Lara Mannell + Jodie Simbolon123 matchesnot enough data
Clare Lemon + Meg Dawson303 matchesnot enough data
Clare Lemon + Cristina Seidman213 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.

4
Cristina Seidman
122W–25L career · 3 lines in 2024
<1%50%50%
4.00
4
Meg Dawson
64W–55L career · 4 lines in 2024
<1%81%19%
3.89
4
Alena Khoroshansky
99W–64L career · 6 lines in 2024
3%94%2%
3.74
4
Nichole Dolinsky
100W–43L career · 4 lines in 2024
5%93%1%
3.71
Jennifer Hackett
30W–16L career · no lines in 2024
<1%80%19%
3.39
3.5
Junli Feng
90W–63L career · 3 lines in 2024
<1%83%17%
3.38
Ping Chen
14W–11L career · no lines in 2024
<1%88%12%
3.34
3.5
Jodie Simbolon
52W–54L career · 3 lines in 2024
<1%88%11%
3.34
3.5
Clare Lemon
117W–140L career · 8 lines in 2024
1%91%8%
3.32
3.5
Lara Mannell
46W–76L career · 8 lines in 2024
2%94%3%
3.26
3.5
Katy Zhi
9W–14L career · no lines in 2024
4%94%2%
3.23
Jill McKee
4W–11L career · no lines in 2024
6%93%1%
3.20
3.5
Marisa Reinoso
39W–47L career · 2 lines in 2024
15%85%<1%
3.14
Jessica Valeri
0W–4L career · no lines in 2024
49%51%<1%
3.00

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.