Teams

SGV Pekingese Tennis Club-Bennett-Scholl/SU2

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

14 players · average NTRP 3.38 / SO.CALIFORNIA

View scouting list →
Schedule5 played
L#1 DoublesKatie Tong / Michael Chinn vs Priscilla Chieng / Colin Tang4-6, 3-6
L#3 DoublesMary Casper / Alberto Santillan vs Hiroko Lujan / John Tran1-6, 0-6
L#2 DoublesMichael Chinn / Cindy Shih vs Woo Kim / Tina Gong1-6, 5-7
2025-10-19Won 10
W#3 DoublesPretesh Patel / Mary Casper vs N/A6-0, 6-0
L#3 DoublesSeve Sanchez / Cindy Shih vs Stefani Galvagni / Alessandro Galvagni3-6, 2-6
2025-09-21vs SGV Ball Hogs-Yip-Arroyo/SU12Won 21
W#1 DoublesArturo Mateos / Katie Tong vs Skylar Sabetta / David Lui7-5, 7-5
L#2 DoublesKay Cannon / Eben Russell vs Annemarie Schnedler / Ronald Yip4-6, 4-6
W#3 DoublesBrett Bennett / Seve Sanchez vs Maree Lingao / Christian Schrader1-6, 6-4, 1-0
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 3.25 estimated across 13 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.

3.78
Manoj Parmar
usually #2 Doubles 40%, also #1 Doubles 40% · published 4
3.77
Eben Russell
usually #2 Doubles 100% · published
3.69
Summer Williamson
published
3.63
Arturo Mateos
usually #1 Doubles 100% · published 4
3.62
Katie Tong
usually #1 Doubles 100% · published
3.52
Brett Bennett
usually #3 Doubles 100% · published 3.5
3.22
Kay Cannon
usually #2 Doubles 100% · published
3.00
DOUG JUNG
published 3.5
2.98
Michael Chinn
usually #1 Doubles 100% · published
2.84
Pretesh Patel
usually #3 Doubles 100% · published 3
2.79
Cindy Shih
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.76
Daniel Lipsher
published 3
2.63
Alberto Santillan
usually #3 Doubles 100% · published 3
Seve Sanchez
usually #3 Doubles 100% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Katie Tong + Arturo Mateos404 matchesnot enough data
Summer Williamson + Manoj Parmar404 matchesnot enough data
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
Manoj Parmar
148W–42L career · 5 lines in 2025
2%92%6%
3.78
Eben Russell
5W–6L career · 1 line in 2025
3%92%5%
3.77
Summer Williamson
48W–26L career · no lines in 2025
0%<1%>99%
3.69
4
Arturo Mateos
42W–43L career · 1 line in 2025
18%81%<1%
3.63
Katie Tong
18W–8L career · 2 lines in 2025
<1%<1%>99%
3.62
3.5
Brett Bennett
65W–54L career · 1 line in 2025
<1%45%55%
3.52
Kay Cannon
12W–7L career · 1 line in 2025
6%92%2%
3.22
3.5
DOUG JUNG
4W–8L career · type M · no lines in 2025
50%50%<1%
3.00
Michael Chinn
3W–8L career · 1 line in 2025
<1%57%43%
2.98
3
Pretesh Patel
19W–10L career · type S · 1 line in 2025
1%87%12%
2.84
3
Cindy Shih
69W–99L career · 2 lines in 2025
2%92%6%
2.79
3
Daniel Lipsher
2W–1L career · type S · no lines in 2025
3%93%4%
2.76
3
Alberto Santillan
5W–11L career · type S · 1 line in 2025
17%82%<1%
2.63
Seve Sanchez
1W–1L career · 1 line 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.