Teams

SGV Wyld Crickets-Takehara-Azuza Pacific

2025 SoCal Doubles 18 & Over - San Gabriel Valley · SGV - Men 4.5

13 players · average NTRP 4.40 / SO.CALIFORNIA

View scouting list →
Schedule5 played
2025-11-30vs SGV Dare Doubles-Vo-La Habra/SA2Won 20
W#1 DoublesMaki Potes / Arman Davtyan vs Wilson Teo / Judd Tongprajiad6-2, 7-5
W#2 DoublesRon Chow / Wesley Wang vs Ky Vo / Derek Fu6-4, 6-0
W#1 DoublesChad Rodriguez / Luciano Rodriguez vs Gavin Lau / Edgar Bove7-5, 3-6, 1-0
W#2 DoublesMaki Potes / Wesley Wang vs Ryan Cox / Ulises Lorenzo Garcia6-3, 6-4
W#2 DoublesLuciano Rodriguez / Wesley Wang vs David Kim / Alexander Ko5-5
W#3 DoublesJoey Takehara / Arya Moknat vs Sam Yang / Jordan Cheng6-3, 2-6, 1-0
L#1 DoublesArman Davtyan / Ron Chow vs Adrian Tay / Alan Han3-6, 3-6
W#2 DoublesJoey Takehara / Luciano Rodriguez vs Bill Petrocelli / Alexander Ko7-6, 2-6, 1-0
W#1 DoublesArman Davtyan / Maki Potes vs Adrian Tay / Renaldo Goncalves7-6, 6-3
L#2 DoublesJoey Takehara / Cesar Garcia vs Sam Yang / David Kim6-1, 3-6, 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 - Men 4.5 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 4.21 estimated across 9 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.

4.47
Eric Lu
published 4.5
4.31
Kimlong Phan
published
Arya Moknat
usually #3 Doubles 100% · published 4.5
4.22
Luciano Rodriguez
usually #2 Doubles 67%, also #1 Doubles 33% · published
4.21
Chad Rodriguez
usually #1 Doubles 100% · published 4.5
4.19
Maki Potes
usually #1 Doubles 67%, also #2 Doubles 33% · published
4.18
4.12
Pai-Kuan Peng
published
4.12
Ben Lopez
published 4.5
4.09
Joey Takehara
usually #2 Doubles 67%, also #3 Doubles 33% · published
Alan Leahy
published 4
Ron Chow
usually #2 Doubles 50%, also #1 Doubles 50% · published
Wesley Wang
usually #2 Doubles 100% · 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.

4.5
Eric Lu
8W–0L career · no lines in 2025
<1%60%40%
4.47
Kimlong Phan
3W–0L career · no lines in 2025
1%92%8%
4.31
4.5
Arya Moknat
4W–0L career · 1 line in 2025
not enough data
Luciano Rodriguez
3W–3L career · 3 lines in 2025
5%94%1%
4.22
4.5
Chad Rodriguez
7W–6L career · 1 line in 2025
5%94%1%
4.21
Maki Potes
8W–5L career · 3 lines in 2025
7%92%1%
4.19
Paul Vincent Salvador
16W–11L career · no lines in 2025
8%91%1%
4.18
Pai-Kuan Peng
1W–3L career · no lines in 2025
17%83%<1%
4.12
4.5
Ben Lopez
4W–11L career · no lines in 2025
18%82%<1%
4.12
Joey Takehara
2W–6L career · 3 lines in 2025
24%76%<1%
4.09
4
Alan Leahy
0W–1L career · no lines in 2025
not enough data
Ron Chow
3W–1L career · 2 lines in 2025
not enough data
Wesley Wang
3W–0L career · 3 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.