Teams

SGV Ball Hogs-Yip-Arroyo/SA4

2023 Mixed Tri Level - 18&Over - San Gabriel Valley · SGV 6.0

19 players · average NTRP 3.33 / SO.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 SGV 6.0 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 3.12 estimated across 17 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.

3.94
Ming-Ming Peng
published 4
3.60
Paul Nakashima
published
3.55
Jenny Lin
published
3.45
Stacey Zhao
published
3.25
Ronald Yip
published
3.23
George Shenefelt
published 3.5
3.20
Annemarie Schnedler
published 3.5
3.20
Florence Chen
published 3.5
3.12
Panney Wei
published
3.08
Mei Wong
published
2.96
Christian Schrader
published 3.5
2.89
Tim Green
published
2.79
Eileen Yip
published 3
2.77
Ted Chi
published
2.74
2.71
Edith LAM
published 3
2.62
Fanny Gee
published 3
Mika Shenefelt
published
Tony Marquez
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
Ming-Ming Peng
52W–35L career · no lines in 2023
<1%67%33%
3.94
Paul Nakashima
12W–5L career · no lines in 2023
<1%22%78%
3.60
Jenny Lin
14W–18L career · no lines in 2023
35%65%<1%
3.55
Stacey Zhao
2W–2L career · no lines in 2023
<1%65%35%
3.45
Ronald Yip
15W–13L career · no lines in 2023
2%95%3%
3.25
3.5
George Shenefelt
7W–12L career · no lines in 2023
4%94%2%
3.23
3.5
Annemarie Schnedler
6W–13L career · no lines in 2023
6%93%1%
3.20
3.5
Florence Chen
1W–3L career · no lines in 2023
7%92%1%
3.20
Panney Wei
5W–17L career · no lines in 2023
18%82%<1%
3.12
Mei Wong
6W–5L career · no lines in 2023
<1%26%74%
3.08
3.5
Christian Schrader
2W–9L career · no lines in 2023
62%38%<1%
2.96
Tim Green
17W–22L career · no lines in 2023
<1%80%20%
2.89
3
Eileen Yip
6W–10L career · no lines in 2023
1%93%5%
2.79
Ted Chi
4W–10L career · no lines in 2023
2%94%4%
2.77
3
Camille Farnsworth
3W–5L career · no lines in 2023
3%94%2%
2.74
3
Edith LAM
4W–3L career · no lines in 2023
6%93%1%
2.71
3
Fanny Gee
1W–4L career · no lines in 2023
17%83%<1%
2.62
Mika Shenefelt
1W–0L career · no lines in 2023
not enough data
Tony Marquez
1W–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.