Teams

SDNC 4.0 Rancho Del Oro/ Roy

2026 SoCal Fall Doubles WE- SDNC · SDNC Men 4.0

13 players · average NTRP 3.88 / 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 →
Flight standings14 teams · SDNC Men 4.0
TeamWLInd. WInd. LSets lostGames lost
1SDNC 4.0 RBCTC/ Mourey000000
2SDNC 4.0 La Costa/ Flaherty000000
3SDNC 4.0 Brengle Terrace/ Coughlin000000
4SDNC 4.0 RBS&TC/ Louis000000
5SDNC 4.0 FRCC/ Loew000000
6SDNC 4.0 FRCC/ Hackett000000
7SDNC 4.0 San Dieguito TC/ Rubin000000
8SDNC 4.0 La Valle CC / Manheim000000
9SDNC 4.0 Rancho Del Oro/ Fernandez000000
10SDNC 4.0 Rancho Valencia/ Makkar000000
11SDNC 4.0 Lomas SF/ Goodman000000
12SDNC 4.0 Rancho Del Oro/ Roy000000
13SDNC 4.0 RPTC/ Yeem000000
14SDNC 4.0 FRCC/ Lozano000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.64 estimated across 13 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.

3.81
ERWAN MARTIN
published 4
3.81
Edwin Chen
published 4
3.76
Kien Johnson
published 4
3.76
Mahesh Nayak
published
3.70
Daniel Kang
published 4
3.69
Vishal Banthia
published
3.65
Jared Roy
published 3.5
3.63
Lich Le
published 4
3.62
Mark Rezac
published 4
3.61
Ugur Eskiocak
published
3.58
Satish Jayanthi
published
3.49
Jeff Scarano
published 3.5
3.23
Varun Goel
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.

Jeff Scarano + Jared Roy19364% games+4.4% vs expected
Mahesh Nayak + Mark Rezac3254% games+3.8% vs expected
ERWAN MARTIN + Jeff Scarano213 matchesnot enough data
Mahesh Nayak + Satish Jayanthi123 matchesnot enough data
Satish Jayanthi + Mark Rezac213 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
ERWAN MARTIN
88W–68L career · no lines in 2026
1%92%8%
3.81
4
Edwin Chen
8W–2L career · type S · no lines in 2026
1%92%7%
3.81
4
Kien Johnson
82W–80L career · no lines in 2026
2%94%3%
3.76
Mahesh Nayak
9W–8L career · no lines in 2026
2%94%3%
3.76
4
Daniel Kang
10W–5L career · type D · no lines in 2026
6%93%1%
3.70
Vishal Banthia
4W–6L career · no lines in 2026
7%92%1%
3.69
3.5
Jared Roy
28W–4L career · type A · no lines in 2026
<1%13%87%
3.65
4
Lich Le
46W–48L career · no lines in 2026
16%84%<1%
3.63
4
Mark Rezac
87W–72L career · no lines in 2026
19%81%<1%
3.62
Ugur Eskiocak
6W–12L career · no lines in 2026
20%80%<1%
3.61
Satish Jayanthi
3W–11L career · no lines in 2026
26%74%<1%
3.58
3.5
Jeff Scarano
28W–14L career · no lines in 2026
<1%52%48%
3.49
Varun Goel
1W–10L career · no lines in 2026
4%94%2%
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.