Teams

GLTF/GOLDMAN TC 18MX7.0A

2022 MIXED 18&Over · 18&Over MX7.0

16 players · average NTRP 3.64 / 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 →
Schedule2 played
2022-02-05vs BAY CLUB SF TENNIS 18MX7.0ALost 01
L#2 DoublesKathleen Sullivan / John Good vs Nicholas Benson / Joyce Noah-Vanhoucke2-6, 1-6
2022-02-03Won 10
W#3 DoublesKathleen Sullivan / Jehhal Liu vs Sai Madhavan / Alexandra Iqbal2-6, 6-3, 1-0
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 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 3.38 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.

3.79
Humberto Melara
published 4
3.70
Aaron Walz
published 4
3.51
Jehhal Liu
published
3.48
Jason Goodrick
published
3.45
Kevin Lu
published
3.31
Daphne Zenk
published 3.5
Dana Stevenson
published 3.5
Kathleen Sullivan
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
3.23
Janet Arnesty
published
3.21
Khin Tint
published
3.20
Tammy Tran
published
3.16
Dave Jensen
published 3.5
3.10
James Dean
published 3.5
John Good
published
Martin Tilzer
published
Suzanne Nick
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.

4
Humberto Melara
4W–6L career · no lines in 2022
1%94%5%
3.79
4
Aaron Walz
2W–3L career · no lines in 2022
6%93%1%
3.70
Jehhal Liu
6W–4L career · no lines in 2022
<1%48%52%
3.51
Jason Goodrick
4W–7L career · no lines in 2022
55%45%<1%
3.48
Kevin Lu
6W–2L career · no lines in 2022
<1%65%35%
3.45
3.5
Daphne Zenk
15W–15L career · no lines in 2022
1%92%7%
3.31
3.5
Dana Stevenson
0W–2L career · no lines in 2022
not enough data
3.5
Kathleen Sullivan
16W–27L career · type A · 2 lines in 2022
not enough data
Janet Arnesty
2W–7L career · no lines in 2022
98%2%<1%
3.23
Khin Tint
39W–40L career · no lines in 2022
5%94%1%
3.21
Tammy Tran
8W–13L career · no lines in 2022
6%93%1%
3.20
3.5
Dave Jensen
1W–3L career · no lines in 2022
11%88%<1%
3.16
3.5
James Dean
1W–3L career · no lines in 2022
21%78%<1%
3.10
John Good
5W–4L career · no lines in 2022
not enough data
Martin Tilzer
0W–1L career · no lines in 2022
not enough data
Suzanne Nick
0W–3L career · no lines in 2022
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.