Teams

SGV Flint Flames-Hegelund-Flint Canyon/SU12

2024 Adult Division - 55 & Over - San Gabriel Valley · SGV - Women 7.0

16 players · average NTRP 3.44 / 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 SGV - Women 7.0 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 3.09 estimated across 15 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.

3.27
Gloria Nuguid
usually #1 Doubles 83%, also #2 Doubles 17% · published 3.5
3.26
Mindy Schiffman
published 3.5
3.24
Antoinette Lessuk
usually #3 Doubles 50%, also #2 Doubles 25% · published 3.5
3.17
Ayuko Siegel
usually #3 Doubles 100% · published 3.5
3.13
Helle Hegelund
published
3.12
Joanna Gardner
published
3.12
Pamela Rosenberg
published
3.06
Pat Guttormsen
published
3.06
Suzie Sarkisian
usually #2 Doubles 60%, also #3 Doubles 40% · published
3.05
Pamela Girard
published
3.05
Caprina Auyong
usually #3 Doubles 100% · published 3.5
2.99
Linda Kroff
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
2.98
Gail Gerbode
published
2.96
Stephanie Pu
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
2.85
Nadine Ono
usually #3 Doubles 100% · published 3
En En Liao
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.

Stephanie Pu + Antoinette Lessuk18758% games+1.3% vs expected
Helle Hegelund + Antoinette Lessuk2746% games−5.3% vs expected
Linda Kroff + Pamela Rosenberg3443% games−6.5% vs expected
Suzie Sarkisian + Antoinette Lessuk5354% gamesnot enough data
Stephanie Pu + Suzie Sarkisian5064% gamesnot enough data
Caprina Auyong + Ayuko Siegel213 matchesnot enough data
Suzie Sarkisian + Ayuko Siegel123 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.

3.5
Gloria Nuguid
113W–98L career · 6 lines in 2024
2%92%5%
3.27
3.5
Mindy Schiffman
84W–100L career · no lines in 2024
3%93%4%
3.26
3.5
Antoinette Lessuk
164W–156L career · 4 lines in 2024
5%92%3%
3.24
3.5
Ayuko Siegel
64W–57L career · 1 line in 2024
11%88%1%
3.17
Helle Hegelund
8W–19L career · no lines in 2024
18%82%<1%
3.13
Joanna Gardner
29W–20L career · no lines in 2024
<1%19%81%
3.12
Pamela Rosenberg
6W–3L career · no lines in 2024
20%80%<1%
3.12
Pat Guttormsen
1W–2L career · no lines in 2024
34%66%<1%
3.06
Suzie Sarkisian
59W–50L career · 5 lines in 2024
35%65%<1%
3.06
Pamela Girard
1W–5L career · no lines in 2024
37%63%<1%
3.05
3.5
Caprina Auyong
86W–81L career · 1 line in 2024
37%63%<1%
3.05
3.5
Linda Kroff
48W–68L career · 2 lines in 2024
53%47%<1%
2.99
Gail Gerbode
3W–5L career · no lines in 2024
57%43%<1%
2.98
3.5
Stephanie Pu
79W–42L career · 4 lines in 2024
62%38%<1%
2.96
3
Nadine Ono
45W–58L career · 3 lines in 2024
1%85%14%
2.85
En En Liao
1W–3L career · no lines in 2024
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.