Teams

GLTF/SAN FRAN ST U 18MX7.0B

2025 MIXED 18&Over · 18&Over MX7.0

21 players · average NTRP 3.29 / NO. 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 18&Over MX7.0 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 3.14 estimated across 14 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.

3.49
Brooke Kerpelman
published 3.5
3.43
Sabrina Yeung
published
3.33
Nhan Nguyen
published
3.29
Priya Shete
published
Kathleen Sullivan
published 3.5
3.21
Alberto Chan
published 3.5
3.18
Diana Motseniat
published 3.5
3.17
Jason Chapin
published
3.12
Kayla Kemner
published
3.09
Derek Ha
published 3
3.06
Uttam Mandal
published
3.04
Kathy Buckley
published
2.98
Gerald Antonio
published
2.81
2.70
Alyson Murphy
published 3
Jenny Huynh
published
Peter Su
published
Sudhanshu Garg
published
Suzanne Nick
published
William Haberkorn
published
Willie Ng
published
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
Brooke Kerpelman
12W–8L career · no lines in 2025
<1%53%47%
3.49
Sabrina Yeung
5W–1L career · no lines in 2025
70%30%<1%
3.43
Nhan Nguyen
14W–15L career · no lines in 2025
1%88%11%
3.33
Priya Shete
17W–18L career · no lines in 2025
2%92%6%
3.29
3.5
Kathleen Sullivan
16W–27L career · type A · no lines in 2025
not enough data
3.5
Alberto Chan
1W–7L career · no lines in 2025
6%92%2%
3.21
3.5
Diana Motseniat
23W–15L career · no lines in 2025
10%89%1%
3.18
Jason Chapin
11W–4L career · no lines in 2025
11%88%1%
3.17
Kayla Kemner
21W–12L career · no lines in 2025
19%81%<1%
3.12
3
Derek Ha
6W–4L career · no lines in 2025
<1%26%74%
3.09
Uttam Mandal
4W–10L career · no lines in 2025
34%65%<1%
3.06
Kathy Buckley
5W–9L career · no lines in 2025
38%61%<1%
3.04
Gerald Antonio
1W–9L career · no lines in 2025
55%45%<1%
2.98
3
Brandon Simmons-Rawls
4W–10L career · no lines in 2025
1%90%9%
2.81
3
Alyson Murphy
3W–0L career · no lines in 2025
8%91%2%
2.70
Jenny Huynh
9W–4L career · no lines in 2025
not enough data
Peter Su
1W–4L career · no lines in 2025
not enough data
Sudhanshu Garg
1W–1L career · no lines in 2025
not enough data
Suzanne Nick
0W–3L career · no lines in 2025
not enough data
William Haberkorn
1W–0L career · no lines in 2025
not enough data
Willie Ng
9W–2L career · no lines in 2025
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.