Teams

SFV - Dominators

2022 SoCal Fall Doubles 18+ SFV · SFV - Men 4.0

10 players · average NTRP 4.00 / SO.CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule5 played
2022-11-19Won 10
W#3 DoublesBurke Franklin / Won Cho vs N/A6-0, 6-0
2022-11-13vs SFV - Warner BallersWon 10
W#2 DoublesJared Mano / Jimmy Lee vs Matthew Guerrero / Bushra Abdelmalak6-4, 6-7, 1-0
2022-11-05vs SFV - The 300'sWon 10
W#1 DoublesJared Mano / Jimmy Lee vs Erik Houser / David Soucy7-6, 6-4
2022-10-15vs SFV - Dance With The DevilWon 10
W#3 DoublesBurke Franklin / Mauricio Muller vs Edward Hatch / Michael Dubkin6-0, 7-6
L#3 DoublesRIO NINO GOMEZ / Jared Mano vs Steve Oetomo / Geoffrey Villarta1-6, 4-6
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 SFV - Men 4.0 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 3.79 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.

4.15
TEVIN JENKINS
published 4.5
4.15
Jason Nam
published
3.97
Jared Mano
usually #3 Doubles 40%, also #1 Doubles 40% · published
3.90
Sebastian HEINRICH
published
3.74
Timothy Chun
published
3.73
Anurag Anand
published 4
3.72
Won Cho
published
3.47
Burke Franklin
usually #3 Doubles 100% · published 4
3.31
Lee Tsai
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
RIO NINO GOMEZ
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.

Won Cho + Timothy Chun3260% games+4.0% vs expected
Jared Mano + Burke Franklin2350% gamesnot enough data
Jared Mano + Lee Tsai213 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
TEVIN JENKINS
105W–50L career · no lines in 2022
12%87%<1%
4.15
Jason Nam
23W–16L career · no lines in 2022
12%87%<1%
4.15
Jared Mano
91W–52L career · 5 lines in 2022
<1%60%40%
3.97
Sebastian HEINRICH
9W–2L career · no lines in 2022
<1%79%21%
3.90
Timothy Chun
6W–4L career · no lines in 2022
3%94%2%
3.74
4
Anurag Anand
1W–2L career · no lines in 2022
4%94%2%
3.73
Won Cho
13W–14L career · no lines in 2022
4%94%2%
3.72
4
Burke Franklin
157W–97L career · 2 lines in 2022
58%42%<1%
3.47
3.5
Lee Tsai
212W–155L career · 5 lines in 2022
1%92%7%
3.31
RIO NINO GOMEZ
1W–0L career · no lines in 2022
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.