Teams

SGV Ball Hogs-Yip-Arroyo/SA4

2024 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.0

24 players · average NTRP 3.40 / SO.CALIFORNIA

View scouting list →
Schedule2 played
2024-11-16vs SGV Dark Horses-Lee-La Habra-SA 11Lost 01
L#1 DoublesRafael Molina / Abbey Everson vs Jonathan Mak / AIRI IVES5-7, 6-4, 0-1
L#1 DoublesAbbey Everson / David Lui vs Khin Aye / Travis Hatfield5-7, 3-6
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 SGV 3.0 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 3.19 estimated across 21 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.

3.96
Abbey Everson
usually #1 Doubles 100% · published 4
3.92
David Lui
published 4
3.60
Paul Nakashima
published
3.57
Ellie Wei
published 4
3.50
Rafael Molina
published
3.45
Stacey Zhao
published
3.29
Drew Bedgood
published 3.5
3.25
Ronald Yip
published
3.21
Damien Aries
published 3.5
3.20
Annemarie Schnedler
published 3.5
3.20
Florence Chen
published 3.5
3.19
Nicholas Nadeau
published
3.08
Mei Wong
published
2.96
Christian Schrader
published 3.5
2.95
Charles Do
published 3
2.94
Greg Metzger
published 3.5
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
Kaushik Sampath
published
Ronalyn Raymundo
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
Abbey Everson
157W–106L career · 2 lines in 2024
<1%62%38%
3.96
4
David Lui
7W–4L career · no lines in 2024
<1%73%27%
3.92
Paul Nakashima
12W–5L career · no lines in 2024
<1%22%78%
3.60
4
Ellie Wei
4W–12L career · no lines in 2024
29%71%<1%
3.57
Rafael Molina
8W–20L career · no lines in 2024
51%49%<1%
3.50
Stacey Zhao
2W–2L career · no lines in 2024
<1%65%35%
3.45
3.5
Drew Bedgood
5W–4L career · no lines in 2024
1%94%5%
3.29
Ronald Yip
15W–13L career · no lines in 2024
2%95%3%
3.25
3.5
Damien Aries
7W–18L career · no lines in 2024
5%94%1%
3.21
3.5
Annemarie Schnedler
6W–13L career · no lines in 2024
6%93%1%
3.20
3.5
Florence Chen
1W–3L career · no lines in 2024
7%92%1%
3.20
Nicholas Nadeau
4W–8L career · no lines in 2024
8%91%1%
3.19
Mei Wong
6W–5L career · no lines in 2024
<1%26%74%
3.08
3.5
Christian Schrader
2W–9L career · no lines in 2024
62%38%<1%
2.96
3
Charles Do
13W–17L career · no lines in 2024
<1%66%34%
2.95
3.5
Greg Metzger
1W–10L career · no lines in 2024
68%32%<1%
2.94
3
Eileen Yip
6W–10L career · no lines in 2024
1%93%5%
2.79
Ted Chi
4W–10L career · no lines in 2024
2%94%4%
2.77
3
Eileen Chun-Fruto
0W–3L career · no lines in 2024
not enough data
3
Camille Farnsworth
3W–5L career · no lines in 2024
3%94%2%
2.74
3
Edith LAM
4W–3L career · no lines in 2024
6%93%1%
2.71
3
Fanny Gee
1W–4L career · no lines in 2024
17%83%<1%
2.62
Kaushik Sampath
1W–1L career · no lines in 2024
not enough data
Ronalyn Raymundo
0W–2L 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.