Teams

SGV Mo Better Tennis - DeRosa - WN/SU8

2022 Tri-Level League - San Gabriel Valley · SGV - Men 3.0

11 players · average NTRP 3.75 / SO.CALIFORNIA

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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 3.67 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.

3.85
Anthony Tsao
published 4
3.83
Jonathan Talbot
published
3.77
Roger Wang
published
3.74
Ernie Maldonado
published 4
3.73
Roseann DeRosa
usually #1 Doubles 57%, also #2 Doubles 43% · published 4
3.73
Michael Porter
published
3.67
Martin Vasquez
published
3.63
Trenman Yau
published
3.39
Bruno Cavelier
published 3.5
3.31
Carl Compton
published 3.5
Everjohn Feliciano
published 3.5
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
Anthony Tsao
11W–5L career · no lines in 2022
<1%88%12%
3.85
Jonathan Talbot
5W–7L career · no lines in 2022
1%90%10%
3.83
Roger Wang
5W–9L career · no lines in 2022
2%94%4%
3.77
4
Ernie Maldonado
3W–7L career · type S · no lines in 2022
3%94%2%
3.74
4
Roseann DeRosa
162W–106L career · 7 lines in 2022
4%94%2%
3.73
Michael Porter
10W–9L career · no lines in 2022
4%94%2%
3.73
Martin Vasquez
4W–3L career · no lines in 2022
9%90%1%
3.67
Trenman Yau
11W–6L career · no lines in 2022
15%84%<1%
3.63
3.5
Bruno Cavelier
3W–4L career · type S · no lines in 2022
<1%79%21%
3.39
3.5
Carl Compton
5W–7L career · no lines in 2022
1%92%8%
3.31
3.5
Everjohn Feliciano
2W–0L 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.