Teams

COAC-LIONS

2023 SCTA Doubles League - Santa Barbara · SB - Men Doubles - 4.0

12 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
2023-12-03vs SB-LLW-SB/SMX-Joe LazaerLost 01
L#3 DoublesMarc Takemiya / Jason Marden vs Joe Lazaer / Jaime Garibay1-6, 2-6
2023-11-05vs SB-LLW-SB/SMX-Joe LazaerLost 01
L#1 DoublesSlaven Tezak / Jason Marden vs Jason Quisberth / Brett Marymee4-6, 2-6
2023-10-15vs SB-LLW-SB/SMX-Joe LazaerWon 10
W#3 DoublesJason Marden / Marc Takemiya vs Mark Inguaggiato / Leo Trevino7-6, 6-1
2023-10-08vs Alisal-ColtsWon 10
W#2 DoublesSlaven Tezak / Jason Marden vs Walt Seemann / Daniel Thompson6-4, 6-3
2023-09-17vs Alisal-ColtsWon 10
W#2 DoublesMarc Takemiya / Jason Marden vs Gordon Ewing / Randy Andell7-6, 6-3
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 SB - Men Doubles - 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 3.68 estimated across 10 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.

4.02
Jason Marden
usually #2 Doubles 40%, also #3 Doubles 40% · published
3.82
Slaven Tezak
published
3.80
Ian Sullivan
published
3.75
Peter Summers
published
3.73
Dana Allin
published 4
3.69
Arin Reza
published 4
3.55
Melvin DeSilva
published
3.53
Marc Takemiya
published
3.47
Joseph Fabbre
published
3.44
George Flores
published
Michael Dzierski
published
Steve Jolley
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.

George Flores + Michael Dzierski0625% gamesnot enough data
Melvin DeSilva + Michael Dzierski0629% gamesnot enough data
Jason Marden + Marc Takemiya213 matchesnot enough data
Steve Jolley + Peter Summers033 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.

Jason Marden
63W–31L career · 5 lines in 2023
<1%45%55%
4.02
Slaven Tezak
7W–2L career · no lines in 2023
1%89%10%
3.82
Ian Sullivan
15W–6L career · no lines in 2023
2%91%7%
3.80
Peter Summers
2W–12L career · no lines in 2023
4%93%4%
3.75
4
Dana Allin
23W–18L career · no lines in 2023
5%92%3%
3.73
4
Arin Reza
5W–1L career · no lines in 2023
8%90%1%
3.69
Melvin DeSilva
12W–48L career · no lines in 2023
35%65%<1%
3.55
Marc Takemiya
9W–7L career · no lines in 2023
41%59%<1%
3.53
Joseph Fabbre
7W–14L career · no lines in 2023
58%42%<1%
3.47
George Flores
17W–30L career · no lines in 2023
65%35%<1%
3.44
Michael Dzierski
8W–28L career · no lines in 2023
not enough data
Steve Jolley
18W–16L 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.