Teams

GLTF/SAN FRAN ST U 18MX7.0A

2023 MIXED 18&Over · 18&Over MX7.0

26 players · average NTRP 3.46 / 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 3.34 estimated across 23 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.

4.02
Valerie Pietrasz
published
3.96
Yukari Seki
published
3.64
3.57
Sumin Elarde
published
3.56
Joni Fuse
published
3.50
Brooke Kerpelman
published 3.5
3.38
Grace Chan
published 3.5
3.35
Daniel Lim
usually #1 Doubles 60%, also #3 Doubles 20% · published 3.5
3.33
Shun Hung
published
3.32
Patty Nunez
published
3.31
Daphne Zenk
published 3.5
3.30
Alvin Cheng
published 3.5
3.27
Anuj Agarwal
published 3.5
3.26
Sean Avent
published
Chris Garigliano
published 3.5
Filomeno Lacap
published 3.5
3.18
Brandt Fuse
published 3.5
3.16
Jong-Chyi Su
published
3.15
Tom Januario
published
3.11
Melodie Rubin
published
3.10
James Dean
published 3.5
3.10
Timothy Tuttle
published
3.09
Anny Hong
published 3
3.03
Mark Morissette
published
3.03
Howard Miller
published 3.5
Junko Bice
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.

Daphne Zenk + Brandt Fuse123 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.

Valerie Pietrasz
10W–7L career · no lines in 2023
43%57%<1%
4.02
Yukari Seki
10W–2L career · no lines in 2023
61%39%<1%
3.96
3.5
Christopher Stephenson
10W–1L career · no lines in 2023
<1%13%87%
3.64
Sumin Elarde
6W–14L career · no lines in 2023
30%70%<1%
3.57
Joni Fuse
12W–8L career · no lines in 2023
33%67%<1%
3.56
3.5
Brooke Kerpelman
12W–8L career · no lines in 2023
<1%49%51%
3.50
3.5
Grace Chan
13W–5L career · no lines in 2023
<1%82%18%
3.38
3.5
Daniel Lim
33W–31L career · 5 lines in 2023
<1%88%12%
3.35
Shun Hung
2W–4L career · no lines in 2023
1%90%9%
3.33
Patty Nunez
9W–10L career · no lines in 2023
1%91%8%
3.32
3.5
Daphne Zenk
15W–15L career · no lines in 2023
1%92%7%
3.31
3.5
Alvin Cheng
2W–8L career · no lines in 2023
1%93%6%
3.30
3.5
Anuj Agarwal
2W–1L career · type S · no lines in 2023
2%94%4%
3.27
Sean Avent
5W–11L career · no lines in 2023
2%94%3%
3.26
3.5
Chris Garigliano
1W–2L career · no lines in 2023
not enough data
3.5
Filomeno Lacap
0W–2L career · no lines in 2023
not enough data
3.5
Brandt Fuse
6W–16L career · no lines in 2023
8%91%1%
3.18
Jong-Chyi Su
10W–1L career · no lines in 2023
11%88%<1%
3.16
Tom Januario
11W–10L career · no lines in 2023
13%87%<1%
3.15
Melodie Rubin
14W–15L career · no lines in 2023
21%79%<1%
3.11
3.5
James Dean
1W–3L career · no lines in 2023
21%78%<1%
3.10
Timothy Tuttle
7W–12L career · no lines in 2023
23%77%<1%
3.10
3
Anny Hong
23W–11L career · no lines in 2023
<1%25%75%
3.09
Mark Morissette
14W–19L career · no lines in 2023
<1%40%60%
3.03
3.5
Howard Miller
2W–9L career · no lines in 2023
42%58%<1%
3.03
Junko Bice
2W–0L career · no lines in 2023
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.