Teams

SFTC/Lu/San Francisco

2024 Tri-Level 3.5 · 4.0

12 players · average NTRP 5.00 / NO. CALIFORNIA

View scouting list →
Schedule3 played
2024-10-26vs It Takes Two/Angsupanich/MoragaLost 12
L#1 DoublesNicole Stephens / Jennifer Yeager vs Mai Angsupanich / Jessica Kim6-3, 3-6, 0-1
W#2 DoublesMaddie Thomas / Erika LaMarch vs Angela Merola / Euna Roh6-1, 6-3
L#3 DoublesShan Lu / Mimi Lim vs Erin Ackdoe / Molly Harcos Tamariki6-3, 2-6, 0-1
2024-10-26vs Wallenberg/Nguyen/San JoseLost 03
L#1 DoublesClarissa Fung / Nicole Stephens vs Cathy Xin / Nicole YEN1-6, 1-6
L#2 DoublesMaddie Thomas / Jenna James vs Catherine Puzon / Jiyun Hong1-6, 5-7
L#3 DoublesSandy Shepherd / Natalie Batlin vs Dejia Tang / Chunguang He0-6, 6-4, 0-1
2024-10-25vs Triple Threat!/Banse/Morgan HillWon 21
W#1 DoublesJennifer Yeager / Helen Zhang vs Emese Erdos / Lisa Campbell7-5, 6-2
W#2 DoublesErika LaMarch / Linda Geballe vs Rachel Banse / Thuy Nguyen6-3, 7-6
L#3 DoublesSandy Shepherd / Shan Lu vs Joma Ann Raniel / Rose Madriaga6-7, 2-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 4.0 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 3.81 estimated across 9 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.

Clarissa Fung
usually #1 Doubles 100% · published 5
4.10
Erika LaMarch
usually #2 Doubles 100% · published
4.06
Maddie Thomas
usually #2 Doubles 100% · published
4.01
Nicole Stephens
usually #1 Doubles 100% · published
3.81
Linda Geballe
usually #2 Doubles 100% · published
3.79
Jennifer Yeager
usually #1 Doubles 100% · published
3.73
Helen Zhang
usually #1 Doubles 100% · published
3.72
Natalie Batlin
usually #3 Doubles 100% · published
3.72
Jenna James
usually #2 Doubles 100% · published
3.36
Shan Lu
usually #3 Doubles 100% · published
Mimi Lim
usually #3 Doubles 100% · published
Sandy Shepherd
usually #3 Doubles 100% · 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.

Natalie Batlin + Linda Geballe6256% games+2.9% vs expected
Nicole Stephens + Jennifer Yeager044 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.

5
Clarissa Fung
12W–1L career · 1 line in 2024
not enough data
Erika LaMarch
50W–12L career · 2 lines in 2024
<1%23%77%
4.10
Maddie Thomas
61W–18L career · 2 lines in 2024
<1%32%68%
4.06
Nicole Stephens
29W–36L career · 2 lines in 2024
48%52%<1%
4.01
Linda Geballe
50W–24L career · 1 line in 2024
1%90%9%
3.81
Jennifer Yeager
8W–7L career · 2 lines in 2024
94%6%<1%
3.79
Helen Zhang
2W–7L career · 1 line in 2024
97%3%<1%
3.73
Natalie Batlin
20W–20L career · 1 line in 2024
6%92%2%
3.72
Jenna James
11W–12L career · 1 line in 2024
6%92%2%
3.72
Shan Lu
7W–14L career · 2 lines in 2024
84%16%<1%
3.36
Mimi Lim
8W–5L career · 1 line in 2024
not enough data
Sandy Shepherd
1W–3L career · 2 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.