Teams

SGV Ball Hogs-Yip-Arroyo/SU12

2024 Mixed Doubles - 18 & Over San Gabriel Valley · SGV - 7.0 Mixed Division

19 players · average NTRP 3.50 / 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 - 7.0 Mixed Division 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 3.15 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.

4.07
Ming-Ming Peng
published 4
3.58
Nick Leonard
published
3.38
Paul Nakashima
published
3.33
Jenny Lin
published
3.32
Stacey Zhao
published
3.24
Rafael Molina
published
3.21
Annemarie Schnedler
published 3.5
3.19
Chun Wong
published 3.5
3.14
Ronald Yip
published
3.13
George Shenefelt
published
3.04
Mei Wong
published
2.97
Florence Chen
published
2.95
Christian Schrader
published 3.5
2.90
Eileen Yip
published
2.87
Tim Green
published
2.70
2.62
Ted Chi
published
Eileen Chun-Fruto
published
Mika Shenefelt
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–34L career · no lines in 2024
<1%31%69%
4.07
Nick Leonard
11W–6L career · no lines in 2024
27%73%<1%
3.58
Paul Nakashima
11W–5L career · no lines in 2024
<1%80%20%
3.38
Jenny Lin
14W–18L career · no lines in 2024
<1%1%99%
3.33
Stacey Zhao
2W–2L career · no lines in 2024
<1%1%99%
3.32
Rafael Molina
8W–20L career · no lines in 2024
97%3%<1%
3.24
3.5
Annemarie Schnedler
6W–13L career · no lines in 2024
7%91%2%
3.21
3.5
Chun Wong
2W–8L career · no lines in 2024
9%90%1%
3.19
Ronald Yip
16W–13L career · no lines in 2024
<1%17%83%
3.14
George Shenefelt
7W–12L career · no lines in 2024
18%81%<1%
3.13
Mei Wong
6W–5L career · no lines in 2024
<1%39%61%
3.04
Florence Chen
1W–3L career · no lines in 2024
<1%59%41%
2.97
3.5
Christian Schrader
2W–9L career · no lines in 2024
65%35%<1%
2.95
Eileen Yip
6W–10L career · no lines in 2024
<1%75%25%
2.90
Tim Green
17W–22L career · no lines in 2024
<1%82%18%
2.87
3
Camille Farnsworth
3W–5L career · no lines in 2024
7%91%2%
2.70
Ted Chi
4W–9L career · no lines in 2024
20%80%<1%
2.62
Eileen Chun-Fruto
0W–3L career · no lines in 2024
not enough data
Mika Shenefelt
1W–0L career · no lines in 2024
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.