Teams

SGV Mo Better Tennis - DeRosa - WN/SU12

2022 Adult Division - 40& Over San Gabriel Valley · SGV - Men 4.0

11 players · average NTRP 3.80 / 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 SGV - 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 3.54 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.

3.77
Philip Phung
published
3.73
Adam Acosta
published 4
3.73
Roseann DeRosa
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.67
Martin Vasquez
published
3.61
Edmond Avedisian
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.48
Thai Nguyen
published
3.45
Jasen Ha
published
3.34
AARON H. CHEN
published 3.5
3.34
Kumar Chatulani
published
3.22
Daniel Espeseth
published 3.5
Wilson Teo
published
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.

Philip Phung
3W–1L career · no lines in 2022
2%94%4%
3.77
4
Adam Acosta
8W–14L career · no lines in 2022
4%94%2%
3.73
4
Roseann DeRosa
162W–106L career · 6 lines in 2022
4%94%2%
3.73
Martin Vasquez
4W–3L career · no lines in 2022
9%90%1%
3.67
4
Edmond Avedisian
104W–117L career · 2 lines in 2022
21%79%<1%
3.61
Thai Nguyen
29W–20L career · no lines in 2022
<1%56%44%
3.48
Jasen Ha
17W–4L career · no lines in 2022
<1%65%35%
3.45
3.5
AARON H. CHEN
6W–2L career · no lines in 2022
<1%88%11%
3.34
Kumar Chatulani
7W–2L career · no lines in 2022
<1%88%11%
3.34
3.5
Daniel Espeseth
4W–9L career · no lines in 2022
4%94%2%
3.22
Wilson Teo
2W–2L career · no lines in 2022
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.