Teams

SAN CARLOS TC/ARGUELLO PK 40MX9.0A

2022 MIXED 40&Over · 40&Over MX9.0

14 players · average NTRP 4.12 / 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 40&Over MX9.0 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 3.96 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.

4.49
Zachary Pozner
published
4.32
Sueyin Wong
published
4.19
Elena Caruso
published 4.5
4.13
Kiyoe Hashimoto
published
4.11
Ricky Herzog
published
4.04
Nicole Stephens
published
4.00
Jennifer Yeager
published
3.99
Marcos Lederman
published
3.83
Eri Suzuki
published 4
3.83
Richard Chang
published
3.72
Ravi Mantena
published
3.69
Lisa Kesler
published
3.67
Glen Lipka
published 4
3.38
Andy Ting
published 4
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.

Zachary Pozner
20W–7L career · no lines in 2022
<1%53%47%
4.49
Sueyin Wong
13W–21L career · no lines in 2022
1%91%8%
4.32
4.5
Elena Caruso
6W–4L career · no lines in 2022
7%92%1%
4.19
Kiyoe Hashimoto
17W–10L career · no lines in 2022
16%83%<1%
4.13
Ricky Herzog
6W–3L career · no lines in 2022
20%80%<1%
4.11
Nicole Stephens
29W–36L career · no lines in 2022
37%63%<1%
4.04
Jennifer Yeager
8W–7L career · no lines in 2022
52%48%<1%
4.00
Marcos Lederman
4W–7L career · no lines in 2022
54%46%<1%
3.99
4
Eri Suzuki
7W–6L career · no lines in 2022
1%90%10%
3.83
Richard Chang
8W–9L career · no lines in 2022
90%10%<1%
3.83
Ravi Mantena
6W–11L career · no lines in 2022
4%94%2%
3.72
Lisa Kesler
16W–12L career · no lines in 2022
7%92%1%
3.69
4
Glen Lipka
16W–20L career · no lines in 2022
10%89%<1%
3.67
4
Andy Ting
2W–16L career · no lines in 2022
81%19%<1%
3.38

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.