Teams

SGV Nobodies-Montgomery-San Dimas /SA9

2022 Adult Division - 18 & Over San Gabriel Valley · SGV - Men 3.5

8 players · average NTRP 3.67 / SO.CALIFORNIA

View scouting list →
Schedule7 played
2022-06-11vs SGV Top Guns - Tse - WN/SA 10Won 10
W#2 SinglesBlason Taon vs Leon Huang6-0, 6-2
W#2 DoublesBlason Taon / Dennis Ang vs Mark Read / Michael Riley6-1, 6-0
2022-05-22Won 10
W#2 SinglesBlason Taon vs Rone Son6-3, 5-7, 1-0
L#3 DoublesBlason Taon / Henry Martinez vs Andrew Domingo / Rajasekar Ramasamy6-7, 6-7
2022-05-07vs SoCal/Nguyen/18&Over3.5MLost 01
L#1 SinglesBlason Taon vs Richard Phung2-6, 3-6
2022-04-30Won 10
W#2 SinglesBlason Taon vs Sam Ewing7-6, 6-3
L#2 SinglesBlason Taon vs SueEng Taing5-7, 2-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for SGV - Men 3.5 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 3.35 estimated across 6 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.

3.83
Jermaine Montgomery
published
3.62
Blason Taon
usually #2 Singles 57%, also #1 Singles 14% · published 4
3.49
Willie Yeh
published
3.07
Lionel Ochoa
published
3.05
Gregory Dancy
published 3.5
3.05
Henry Martinez
published 3.5
Jose Dreyfus
published
Ling Wong
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.

Jermaine Montgomery
2W–3L career · no lines in 2022
<1%1%99%
3.83
4
Blason Taon
84W–57L career · 7 lines in 2022
17%82%<1%
3.62
Willie Yeh
2W–4L career · no lines in 2022
54%46%<1%
3.49
Lionel Ochoa
6W–10L career · no lines in 2022
28%71%<1%
3.07
3.5
Gregory Dancy
0W–7L career · type S · no lines in 2022
36%64%<1%
3.05
3.5
Henry Martinez
6W–20L career · no lines in 2022
36%64%<1%
3.05
Jose Dreyfus
0W–2L career · no lines in 2022
not enough data
Ling Wong
2W–4L 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.