Teams

SGV Spinners-Hegelund-Flint Cyn/SA12

2026 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Women 3.5

13 players · average NTRP 3.39 / 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 standings9 teams · SGV - Women 3.5
TeamWLInd. WInd. LSets lostGames lost
1SGV Queens of the Court-Yu-Arroyo Seco/SU4000000
2SGV Ball Hogs-Yip-Arroyo Seco/ SU2000000
3SGV Tennis Addicts- Tsai-Arroyo HS/SU8000000
4SGV Chow Fun- Chow-Arcadia-SA11000000
5SGV FLoBS-Galvagni-Scholl CYN/SU8000000
6SGV Spinners-Hegelund-Flint Cyn/SA12000000
7SGV Canyon Rollers-Shimizu-Freemont Park/SU000000
8SGV Ace Kickers-Hawkins-Claremont Club/SU11000000
9SGV Sloppy Topspin-Higuera-Downey HS/SA 8000000

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 3.13 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.

3.35
Holly Wolfle Hall
published 3.5
3.33
Tina Nili-Black
published 3.5
3.30
Feiming Morgan
published
3.26
Mindy Schiffman
published 3.5
3.24
Antoinette Lessuk
published 3.5
3.20
Carla Denker
published 3.5
3.15
Rachel Skalmoski
published
3.13
Helle Hegelund
published
2.99
Linda Kroff
published 3.5
2.98
Debra Sudo
published 3
2.95
Maryann Brandon
published 3.5
2.93
Linda Lopez
published
2.85
Nadine Ono
published 3
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.

Debra Sudo + Linda Lopez9458% games+10.2% vs expected
Holly Wolfle Hall + Antoinette Lessuk101449% games−0.7% vs expected
Helle Hegelund + Antoinette Lessuk2746% games−5.3% vs expected
Antoinette Lessuk + Carla Denker211457% gamesnot enough data
Maryann Brandon + Mindy Schiffman10755% gamesnot enough data
Holly Wolfle Hall + Carla Denker3349% gamesnot enough data
Maryann Brandon + Carla Denker123 matchesnot enough data
Helle Hegelund + Tina Nili-Black123 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
Holly Wolfle Hall
67W–75L career · no lines in 2026
1%84%15%
3.35
3.5
Tina Nili-Black
39W–38L career · no lines in 2026
1%88%11%
3.33
Feiming Morgan
6W–13L career · no lines in 2026
2%91%8%
3.30
3.5
Mindy Schiffman
84W–100L career · no lines in 2026
3%93%4%
3.26
3.5
Antoinette Lessuk
164W–156L career · no lines in 2026
5%92%3%
3.24
3.5
Carla Denker
158W–132L career · no lines in 2026
8%91%2%
3.20
Rachel Skalmoski
2W–2L career · no lines in 2026
14%86%1%
3.15
Helle Hegelund
8W–19L career · no lines in 2026
18%82%<1%
3.13
3.5
Linda Kroff
48W–68L career · no lines in 2026
53%47%<1%
2.99
3
Debra Sudo
17W–11L career · no lines in 2026
<1%57%43%
2.98
3.5
Maryann Brandon
94W–139L career · type A · no lines in 2026
65%35%<1%
2.95
Linda Lopez
27W–25L career · no lines in 2026
<1%69%31%
2.93
3
Nadine Ono
45W–58L career · no lines in 2026
1%85%14%
2.85

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.