Teams

SGV Dare Doubles-Flores-WN/SU2

2023 Tri-Level League - San Gabriel Valley · SGV - Men 3.0

12 players · average NTRP 4.12 / SO.CALIFORNIA

View scouting list →
Schedule2 played
2023-08-19vs SGV Maple Team-Lin-WN-SA10Lost 01
L#1 DoublesWillie Yeh / TEVIN JENKINS vs Ken Chen / Huiyong Chen6-4, 4-6, 0-1
2023-07-16vs SGV Maple Team-Lin-WN-SA10Lost 01
L#1 DoublesWillie Yeh / TEVIN JENKINS vs Peter Hsu / Hao Truong2-6, 6-2, 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 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 3.32 estimated across 11 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.

Chad Cruz
published 4.5
4.14
TEVIN JENKINS
usually #1 Doubles 100% · published 4.5
3.54
Hong Ye
published
3.53
Tom Pudpai
published
3.49
HUI LI
published
3.43
Charles Maroun
published 4
3.42
Willie Yeh
published
3.16
John Bragg
published
3.12
Peter Yen
published
3.02
Patrick Mbazuigwe
usually #3 Doubles 100% · published 3.5
2.93
TAREK BABA
published
2.74
Jon Pang
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.

Jon Pang + TAREK BABA224 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.

4.5
Chad Cruz
0W–2L career · no lines in 2023
not enough data
4.5
TEVIN JENKINS
105W–50L career · 2 lines in 2023
15%84%1%
4.14
Hong Ye
19W–9L career · no lines in 2023
<1%40%60%
3.54
Tom Pudpai
11W–11L career · no lines in 2023
41%59%<1%
3.53
HUI LI
4W–4L career · no lines in 2023
<1%<1%>99%
3.49
4
Charles Maroun
1W–7L career · no lines in 2023
70%30%<1%
3.43
Willie Yeh
2W–4L career · no lines in 2023
72%28%<1%
3.42
John Bragg
24W–13L career · no lines in 2023
<1%12%88%
3.16
Peter Yen
6W–20L career · no lines in 2023
>99%<1%<1%
3.12
3.5
Patrick Mbazuigwe
55W–10L career · 2 lines in 2023
43%57%<1%
3.02
TAREK BABA
26W–15L career · no lines in 2023
<1%70%30%
2.93
Jon Pang
4W–37L career · no lines in 2023
0%4%96%
2.74

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.