Teams

SDNC FW1 4.0 Valley Center/ Zeng

2023 SoCal Fall Doubles SDNC- WE · SDNC Men 4.0

8 players · average NTRP 4.25 / 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 →
Schedule8 played
2023-11-12vs SDNC 4.0 La Costa/ FlahertyLost 01
L#2 DoublesSteve Kimble / Brett Marymee vs Donald Carroll / Joseph Pasquito3-6, 6-3, 0-1
2023-11-05vs SDNC 4.0 RSF TC/ GriffinWon 10
W#3 DoublesSteve Kimble / Tom Zokaei vs Moffitt Timlake / Nick Ovchinnikov6-4, 6-0
2023-10-29Won 10
W#3 DoublesSteve Kimble / Brett Marymee vs Scott Hansen / Tim Hackett6-4, 7-6
2023-10-22vs SDNC 4.0 Park Hyatt Aviara/ TaraWon 10
W#2 DoublesSteve Kimble / Ming Ye vs Stas Tara / Edwin Ustariz6-3, 6-1
2023-10-15vs SDNC 4.0 Morgan Run/ DennyWon 10
W#3 DoublesSteve Kimble / Tom Zokaei vs Ray Adams / Hartley Miller6-2, 7-5
L#2 DoublesMichael Masarani / Steve Kimble vs Jon Corn / Zoltan Hajnal7-6, 3-6, 0-1
2023-09-24vs SDNC 4.0 RBCTC/ MoureyWon 20
W#1 DoublesXing Zeng / Brett Marymee vs Rajiv Narayan / Prasanna Parthasarathy6-2, 6-4
W#3 DoublesSteve Kimble / Ming Ye vs Steve Webster / Andrew Chiu6-0, 6-1
2023-09-10vs SDNC 4.0 San Dieguito TC/ HarnishWon 10
W#2 DoublesSteve Kimble / Tom Zokaei vs Cole Urcelay / Michael Urcelay6-2, 6-7, 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 3.98 estimated across 6 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.

4.27
Nelson Quintana
published
4.22
Michael Masarani
published
4.07
Brett Marymee
usually #1 Doubles 33%, also #3 Doubles 33% · published 4.5
3.80
Tom Zokaei
published
3.80
Ming Ye
published
3.72
Steve Kimble
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
Manny Ortuno
published
Mark Motluck
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.

Steve Kimble + Brett Marymee12556% 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.

Nelson Quintana
10W–14L career · no lines in 2023
2%94%4%
4.27
Michael Masarani
5W–3L career · no lines in 2023
5%94%1%
4.22
4.5
Brett Marymee
93W–49L career · 3 lines in 2023
30%70%<1%
4.07
Tom Zokaei
2W–3L career · no lines in 2023
1%93%6%
3.80
Ming Ye
5W–6L career · no lines in 2023
1%93%6%
3.80
4
Steve Kimble
133W–81L career · 8 lines in 2023
5%94%1%
3.72
Manny Ortuno
0W–2L career · no lines in 2023
not enough data
Mark Motluck
2W–0L 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.