Teams

Elings-String Theory

2025 SCTA Doubles League - Santa Barbara · SB - Men Doubles - 4.0

13 players · average NTRP 3.83 / 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 →

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 3.54 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.

James Cotton
published 4
3.65
LUKE NORONHA
published
3.64
Phillip Hill
published
3.64
Atul Malhotra
published 4
3.63
Matthew Morphy
published
3.62
Sergey Slyutov
published
3.52
Jean-Marc Pesson
published
3.49
Jeff Mikeska
published
3.45
Brian Swanson
published 3.5
3.40
Vikram Oberoi
published
3.34
Randy Andell
published
Josh Haber
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.

LUKE NORONHA + Brian Swanson2740% games+4.6% vs expected
Atul Malhotra + LUKE NORONHA1446% gamesnot enough data
Brian Swanson + Jeff Mikeska134 matchesnot enough data
Sergey Slyutov + Randy Andell123 matchesnot enough data
Sergey Slyutov + Jeff Mikeska033 matchesnot enough data
Matthew Morphy + Atul Malhotra123 matchesnot enough data
LUKE NORONHA + Jeff Mikeska033 matchesnot enough data
Brian Swanson + Randy Andell123 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
James Cotton
1W–2L career · no lines in 2025
not enough data
LUKE NORONHA
3W–21L career · no lines in 2025
13%87%<1%
3.65
Phillip Hill
5W–16L career · no lines in 2025
13%86%<1%
3.64
4
Atul Malhotra
19W–24L career · no lines in 2025
15%85%<1%
3.64
Matthew Morphy
85W–41L career · no lines in 2025
15%85%<1%
3.63
Sergey Slyutov
13W–30L career · no lines in 2025
17%83%<1%
3.62
Jean-Marc Pesson
1W–5L career · no lines in 2025
44%56%<1%
3.52
Jeff Mikeska
5W–19L career · no lines in 2025
54%46%<1%
3.49
3.5
Brian Swanson
12W–33L career · type A · no lines in 2025
<1%65%35%
3.45
Vikram Oberoi
0W–7L career · no lines in 2025
79%21%<1%
3.40
Randy Andell
6W–19L career · no lines in 2025
90%10%<1%
3.34
Joseph Sriprajittichai
13W–4L career · no lines in 2025
not enough data
Josh Haber
2W–1L career · no lines in 2025
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.