Teams

LA - Topspin Tigers 3.5

2026 SoCal Doubles WEEKDAY - LA · LA - Women 3.5 WD

12 players · average NTRP 3.43 / 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 LA - Women 3.5 WD 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 3.30 estimated across 11 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.

3.54
Dena Siegel
published 3.5
3.51
Celeste Torres
published 3.5
3.37
Margie Englis
published 3.5
3.33
Tina Nili-Black
published 3.5
3.32
Francesca Gill
published 3.5
3.31
Justine Lassoff
published
3.29
Erin Mand
published
3.21
3.18
Elizabeth Weaver
published
3.18
Julie Rhee
published
3.04
Margery Teller
published 3.5
Jennifer Centeno
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.

Dena Siegel + Julie Rhee6368% games+14.0% vs expected
Dena Siegel + Margie Englis3261% games+10.4% vs expected
Justine Lassoff + Tina Nili-Black3343% games+2.5% vs expected
Erin Mand + Elizabeth Weaver8648% games+0.8% vs expected
Margie Englis + Tina Nili-Black5256% gamesnot enough data
Justine Lassoff + Margie Englis314 matchesnot enough data
Justine Lassoff + Julie Rhee303 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
Dena Siegel
70W–45L career · no lines in 2026
<1%38%62%
3.54
3.5
Celeste Torres
46W–18L career · no lines in 2026
<1%46%54%
3.51
3.5
Margie Englis
169W–111L career · no lines in 2026
<1%83%17%
3.37
3.5
Tina Nili-Black
39W–38L career · no lines in 2026
1%88%11%
3.33
3.5
Francesca Gill
59W–30L career · no lines in 2026
1%89%10%
3.32
Justine Lassoff
24W–15L career · no lines in 2026
1%90%9%
3.31
Erin Mand
22W–12L career · no lines in 2026
2%91%7%
3.29
3
Lilit Khatchaturian
73W–25L career · no lines in 2026
<1%7%93%
3.21
Elizabeth Weaver
13W–13L career · no lines in 2026
9%89%1%
3.18
Julie Rhee
17W–6L career · no lines in 2026
10%89%1%
3.18
3.5
Margery Teller
81W–87L career · no lines in 2026
39%61%<1%
3.04
Jennifer Centeno
0W–2L career · no lines in 2026
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.