Teams

SGV Mo Better Tri-De Rosa-WN/SA12

2023 Tri-Level League - San Gabriel Valley · SGV - Men 3.0

13 players · average NTRP 3.64 / SO.CALIFORNIA

View scouting list →

Flight standings for SGV - Men 3.0 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 3.42 estimated across 12 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.

4.00
3.89
Darren Wong
published 4
3.83
Jonathan Talbot
published
3.74
Ernie Maldonado
published 4
3.73
Roseann DeRosa
usually #2 Doubles 100% · published 4
3.67
Martin Vasquez
published
3.63
Trenman Yau
published
3.27
Connor Otheim
published 3.5
2.94
Christopher Taus
published 3
2.88
Paul Getto
published
2.87
Kasra Soufi
published
2.56
Dan Schiffman
published 3
Marlon Gavino Villa
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.

Dan Schiffman + Kasra Soufi3447% games−9.2% vs expected
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
Dastan Mazhetayev
14W–9L career · no lines in 2023
<1%52%48%
4.00
4
Darren Wong
18W–7L career · no lines in 2023
<1%81%19%
3.89
Jonathan Talbot
5W–7L career · no lines in 2023
1%90%10%
3.83
4
Ernie Maldonado
3W–7L career · type S · no lines in 2023
3%94%2%
3.74
4
Roseann DeRosa
162W–106L career · 3 lines in 2023
4%94%2%
3.73
Martin Vasquez
4W–3L career · no lines in 2023
9%90%1%
3.67
Trenman Yau
11W–6L career · no lines in 2023
15%84%<1%
3.63
3.5
Connor Otheim
7W–4L career · no lines in 2023
2%94%4%
3.27
3
Christopher Taus
25W–11L career · no lines in 2023
<1%68%32%
2.94
Paul Getto
27W–21L career · no lines in 2023
<1%83%17%
2.88
Kasra Soufi
13W–17L career · no lines in 2023
<1%83%17%
2.87
3
Dan Schiffman
10W–26L career · no lines in 2023
32%67%<1%
2.56
Marlon Gavino Villa
4W–1L 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.