Teams

SDNC 4.0 San Dieguito TC/ Lin

2022 So Cal Fall Doubles - SDNC · SDNC Men 4.0

9 players · average NTRP 4.00 / 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 →
Schedule4 played
2022-11-06vs SDNC WC 4.0 KCP/ NguyenLost 01
L#2 DoublesStepan Kartsub / Robert Froyd vs Billy Arenas / Jason Char3-6, 1-6
2022-10-23vs SDNC 4.0 RB S&TC / RobergeLost 02
L#1 DoublesRobert Froyd / Vinh Tran vs Douglas Ramsayer / Jim Valenzuela4-6, 5-7
L#2 DoublesLich Le / Michael Urcelay vs Robert Doolittle / Julian Louis7-5, 2-6, 0-1
2022-09-25vs SDNC 4.0 Morgan Run / ManheimWon 10
W#1 DoublesVinh Tran / Robert Froyd vs Ray Adams / Tim MacDonald6-1, 6-3
2022-09-11vs SDNC 4.0 Lomas Santa Fe CC/ WormsSplit 11
L#1 DoublesKarl Kasai / Robert Froyd vs Wolfram Worms / Robert Prendergast6-4, 2-6, 0-1
W#3 DoublesRichard Sanders / Michael Urcelay vs MATTHEW TILKER / Brian Carlos1-6, 7-6, 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 SDNC 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 3.53 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.

4.01
Eric Harnish
published 4
3.69
Vinh Tran
published
3.63
Lich Le
usually #2 Doubles 100% · published 4
3.61
3.47
Robert Froyd
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.44
Craig Hauser
published 4
3.42
Michael Urcelay
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.24
Richard Sanders
published
3.23
Karl Kasai
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.

Robert Froyd + Lich Le3745% gamesnot enough data
Michael Urcelay + Lich Le3545% gamesnot enough data
Michael Urcelay + Robert Froyd134 matchesnot enough data
Michael Urcelay + Craig Hauser213 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
Eric Harnish
18W–4L career · no lines in 2022
<1%45%55%
4.01
Vinh Tran
2W–5L career · no lines in 2022
8%92%1%
3.69
4
Lich Le
46W–48L career · 1 line in 2022
16%84%<1%
3.63
4
Anthony Villasenor
0W–7L career · no lines in 2022
19%81%<1%
3.61
4
Robert Froyd
77W–154L career · 4 lines in 2022
59%41%<1%
3.47
4
Craig Hauser
3W–4L career · no lines in 2022
68%32%<1%
3.44
4
Michael Urcelay
35W–70L career · 2 lines in 2022
72%28%<1%
3.42
Richard Sanders
5W–11L career · no lines in 2022
3%94%2%
3.24
Karl Kasai
0W–4L career · no lines in 2022
98%2%<1%
3.23

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.