Teams

SDNC 3.5 RSFTC/ Lindsey

2023 SoCal Fall Doubles SDNC- WE · SDNC Men 3.5

9 players · average NTRP 3.50 / SAN DIEGO

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 →
Schedule3 played
2023-10-29Won 10
W#3 DoublesChristopher Villasenor / Gilbert Vasquez vs N/A6-0, 6-0
2023-10-15vs SDNC WC 3.5 FRCC/ WadhwaLost 01
L#1 DoublesJay Federhart / Christopher Villasenor vs Gregory Rianhard / Salil Upasani3-6, 1-6
2023-09-10vs SDNC 3.5 Santaluz/ BahaLost 01
L#3 DoublesEmmanuel de Seroux / Gilbert Vasquez vs Francisco Flores / Prasad Herur2-6, 3-6
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 SDNC Men 3.5 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 3.33 estimated across 7 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.

3.56
Wayne Chan
published
3.50
Christopher Villasenor
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.42
Derek Clotfelter
published 3.5
3.42
Stanford Yee
published 3.5
3.29
Jay Federhart
published 3.5
Daniel Morilak
published 3.5
3.15
Brian Hays
published 3.5
2.96
Emmanuel de Seroux
usually #3 Doubles 100% · published
Gilbert Vasquez
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.

Stanford Yee + Christopher Villasenor8257% gamesnot enough data
Jay Federhart + Stanford Yee2348% gamesnot 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.

Wayne Chan
5W–1L career · no lines in 2023
<1%34%66%
3.56
3.5
Christopher Villasenor
46W–26L career · 2 lines in 2023
<1%51%49%
3.50
3.5
Derek Clotfelter
10W–10L career · no lines in 2023
<1%72%27%
3.42
3.5
Stanford Yee
52W–32L career · no lines in 2023
<1%72%27%
3.42
3.5
Jay Federhart
45W–46L career · no lines in 2023
2%92%6%
3.29
3.5
Daniel Morilak
2W–7L career · no lines in 2023
not enough data
3.5
Brian Hays
4W–8L career · no lines in 2023
14%85%1%
3.15
Emmanuel de Seroux
42W–63L career · 1 line in 2023
<1%60%40%
2.96
Gilbert Vasquez
1W–2L career · no lines in 2023
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.