Teams

SUNNYVALE TC/SUNNYVALE MTC CM7.5E

2022 COMBO · Men 7.5

13 players · average NTRP 3.58 / NO. 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 →
Schedule7 played
2022-10-29vs SUNNYVALE TC/SUNNYVALE MTC CM7.5BWon 10
W#2 DoublesJustin Truong / J Chiu vs Peter Dollinger / Seth Randle6-4, 6-1
2022-10-26vs GLTF/SAN FRAN ST U CM7.5BWon 10
W#2 DoublesJustin Truong / Jacob Colvin vs Bert Jensen / Sean Avent6-0, 7-5
2022-10-18vs GLTF/GOLDMAN TC CM7.5AWon 10
W#1 DoublesJustin Truong / Juhana Kangaspunta vs Chris Rosenlund / Bryan Tom6-0, 7-6
2022-10-11vs GOLDMAN TC CM7.5BLost 01
L#3 DoublesJustin Truong / Michael Grappone vs Lawrence Henriquez / Brent McDonald7-5, 5-4
2022-09-26vs RINCONADA PK CM7.5CWon 10
W#3 DoublesWalter Martin / Justin Truong vs Peng Xu / Helmut Puchner4-6, 6-2, 1-0
2022-09-19vs GLTF/GOLDMAN TC CM7.5AWon 10
W#3 DoublesJustin Truong / John Wilde vs Jason Goodrick / Aaron Walz4-6, 7-6, 1-0
2022-09-10vs FOOTHILLS TandS CM7.5AWon 10
W#3 DoublesRick Albar / Justin Truong vs Dean Axtell / Thomas Kistler6-4, 7-5
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 Men 7.5 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 3.40 estimated across 9 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.

Ben Le
published 4
3.70
Johnny Cheng
published
3.63
Justin Truong
usually #3 Doubles 50%, also #2 Doubles 36% · published
3.60
Aditya Bhandari
published 4
3.60
Paul Sexton
published
3.44
Balazs Korom
published 3.5
3.39
Prashant Bhardwaj
published
3.29
Jiajing Wang
published
Calvin Woon
published 3.5
3.21
Dan Faria
published 3.5
2.75
Dean Bell
published 3
Marshall Lai
published
Scott Jen
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.

4
Ben Le
no matches on record · no lines in 2022
not enough data
Johnny Cheng
6W–2L career · no lines in 2022
6%93%1%
3.70
Justin Truong
87W–67L career · 14 lines in 2022
17%83%<1%
3.63
4
Aditya Bhandari
5W–6L career · no lines in 2022
21%79%<1%
3.60
Paul Sexton
6W–8L career · no lines in 2022
22%78%<1%
3.60
3.5
Balazs Korom
6W–10L career · no lines in 2022
<1%68%32%
3.44
Prashant Bhardwaj
5W–5L career · no lines in 2022
<1%80%20%
3.39
Jiajing Wang
11W–15L career · no lines in 2022
1%94%5%
3.29
3.5
Calvin Woon
1W–1L career · no lines in 2022
not enough data
3.5
Dan Faria
6W–9L career · no lines in 2022
5%93%1%
3.21
3
Dean Bell
8W–18L career · no lines in 2022
3%95%3%
2.75
Marshall Lai
1W–5L career · no lines in 2022
not enough data
Scott Jen
5W–1L 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.