Teams

SGV Ball Hogs-Yip-Arroyo/SU12

2025 Mixed Tri Level - 18 & Over - San Gabriel Valley · SGV 3.0

21 players · average NTRP 3.55 / SO.CALIFORNIA

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Schedule2 played
W#2 DoublesScott Florance / Annemarie Schnedler vs Lauren Randolph / Jordan Gaskins6-2, 6-1
W#3 DoublesChristian Schrader / Mika Shenefelt vs Danny Kronfli / Danielle Kronfli6-3, 6-4
L#1 DoublesSkylar Sabetta / David Lui vs Arturo Mateos / Katie Tong5-7, 5-7
W#2 DoublesAnnemarie Schnedler / Ronald Yip vs Kay Cannon / Eben Russell6-4, 6-4
L#3 DoublesMaree Lingao / Christian Schrader vs Brett Bennett / Seve Sanchez6-1, 4-6, 0-1
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 3.30 estimated across 18 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
usually #1 Doubles 100% · published 4
3.92
David Lui
usually #1 Doubles 100% · published 4
3.84
Nick Leonard
published
3.76
Andy Tromans
published 4
3.71
Skylar Sabetta
usually #1 Doubles 100% · published
3.55
Jenny Lin
published
3.31
Carl Compton
published 3.5
3.25
Ronald Yip
usually #2 Doubles 100% · published
3.23
George Shenefelt
published 3.5
3.20
Annemarie Schnedler
usually #2 Doubles 100% · published 3.5
3.15
Chun Wong
published 3.5
3.11
Maree Lingao
usually #3 Doubles 100% · published
3.10
Scott Florance
usually #2 Doubles 100% · published
3.08
Mei Wong
published
2.96
Christian Schrader
usually #3 Doubles 100% · published 3.5
2.79
Eileen Yip
published 3
2.77
Ted Chi
published
2.75
Jorge Encinas
published
Mika Shenefelt
usually #3 Doubles 100% · published
Sebastian Hoffmann
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 · 2 lines in 2025
<1%67%33%
3.94
4
David Lui
7W–4L career · 1 line in 2025
<1%73%27%
3.92
Nick Leonard
11W–6L career · no lines in 2025
<1%89%11%
3.84
4
Andy Tromans
10W–6L career · no lines in 2025
2%95%3%
3.76
Skylar Sabetta
2W–3L career · 1 line in 2025
6%93%1%
3.71
Jenny Lin
14W–18L career · no lines in 2025
35%65%<1%
3.55
3.5
Carl Compton
5W–7L career · no lines in 2025
1%92%8%
3.31
Ronald Yip
15W–13L career · 1 line in 2025
2%95%3%
3.25
3.5
George Shenefelt
7W–12L career · no lines in 2025
4%94%2%
3.23
3.5
Annemarie Schnedler
6W–13L career · 2 lines in 2025
6%93%1%
3.20
3.5
Chun Wong
1W–8L career · no lines in 2025
12%88%<1%
3.15
Maree Lingao
13W–10L career · 1 line in 2025
<1%21%79%
3.11
Scott Florance
3W–2L career · 1 line in 2025
22%78%<1%
3.10
Mei Wong
6W–5L career · no lines in 2025
<1%26%74%
3.08
3.5
Christian Schrader
2W–9L career · 2 lines in 2025
62%38%<1%
2.96
3
Eileen Yip
6W–10L career · no lines in 2025
1%93%5%
2.79
Ted Chi
4W–10L career · no lines in 2025
2%94%4%
2.77
Jorge Encinas
6W–8L career · no lines in 2025
3%95%3%
2.75
3
Eileen Chun-Fruto
0W–3L career · no lines in 2025
not enough data
Mika Shenefelt
1W–0L career · 1 line in 2025
not enough data
Sebastian Hoffmann
1W–5L career · no lines in 2025
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.