Teams

SFV - Supreme Courters Tri/Heum

2025 Adult Tri-Level 18 - SFV Summer · SFV Women's 3.0-4.0 (Low Tri)

16 players · average NTRP 3.58 / 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 Women's 3.0-4.0 (Low Tri) 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 3.44 estimated across 16 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.

4.04
Irene Feher
usually #1 Doubles 100% · published 4
3.83
Summer Williamson
published
3.83
3.82
Sara Heum
usually #1 Doubles 100% · published 4
3.71
Alessandra Jara del Castillo
usually #1 Doubles 100% · published 4
3.71
Jenna Parker
published
3.70
Esther Hwang
published 4
3.45
Brett Bennett
published 3.5
3.39
Ola Heum
published
3.37
Catherine Haggett
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.36
Margie Englis
usually #3 Doubles 60%, also #1 Doubles 20% · published 3.5
3.33
Justine Lassoff
published
3.24
Christy Weissman
published 3.5
2.84
Stella Dumlao-Idea
usually #3 Doubles 100% · published 3
2.79
Cindy Shih
usually #3 Doubles 100% · published 3
2.69
Beverly Wilkerson
usually #3 Doubles 100% · 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.

Sara Heum + Jenna Parker4154% games+7.0% vs expected
Summer Williamson + Brett Bennett5747% games+2.3% vs expected
Alessandra Jara del Castillo + Irene Feher5176% games+1.5% vs expected
Sara Heum + Alessandra Jara del Castillo4350% games+0.6% vs expected
Stella Dumlao-Idea + Margie Englis5351% gamesnot enough data
Sara Heum + Irene Feher3347% gamesnot enough data
Summer Williamson + Sara Heum134 matchesnot enough data
Justine Lassoff + Margie Englis314 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
Irene Feher
79W–43L career · 5 lines in 2025
<1%39%61%
4.04
Summer Williamson
49W–27L career · no lines in 2025
1%90%10%
3.83
4
Cecilia Mikaelian
6W–2L career · no lines in 2025
1%90%10%
3.83
4
Sara Heum
122W–70L career · 4 lines in 2025
1%91%8%
3.82
4
Alessandra Jara del Castillo
34W–20L career · 3 lines in 2025
5%93%1%
3.71
Jenna Parker
6W–3L career · no lines in 2025
6%93%1%
3.71
4
Esther Hwang
17W–8L career · no lines in 2025
6%93%1%
3.70
3.5
Brett Bennett
67W–55L career · no lines in 2025
<1%65%35%
3.45
Ola Heum
4W–11L career · no lines in 2025
81%19%<1%
3.39
3.5
Catherine Haggett
99W–122L career · 3 lines in 2025
<1%85%15%
3.37
3.5
Margie Englis
169W–111L career · 5 lines in 2025
<1%86%14%
3.36
Justine Lassoff
24W–15L career · no lines in 2025
1%90%9%
3.33
3.5
Christy Weissman
8W–6L career · no lines in 2025
3%95%2%
3.24
3
Stella Dumlao-Idea
180W–184L career · 2 lines in 2025
<1%89%11%
2.84
3
Cindy Shih
69W–99L career · 3 lines in 2025
1%93%6%
2.79
3
Beverly Wilkerson
71W–109L career · 3 lines in 2025
8%92%1%
2.69

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.