Teams

RINCONADA PK CM8.5A

2022 COMBO · Men 8.5

13 players · average NTRP 4.38 / 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
2022-11-18vs FREMONT HILLS CC CM8.5AWon 10
W#2 DoublesSumant Sabada / Justin Truong vs Kevin Franco / Kartik Raina6-0, 6-3
2022-10-02vs FREMONT TC CM8.5ALost 01
L#2 DoublesMitch Hu / Justin Truong vs Joshua Levy / Tarun Rajavelu3-6, 6-3, 0-1
2022-09-29vs SAN CARLOS TC/ARGUELLO PK CM8.5AWon 10
W#2 DoublesJaime So / Justin Truong vs Jeff Ng / David Zeng5-7, 6-3, 1-0
2022-09-28vs PLEASANTON CM8.5BLost 01
L#1 DoublesMitch Hu / Justin Truong vs Anand Vairavan / Alan Chan3-6, 3-6
2022-09-22vs FREMONT HILLS CC CM8.5AWon 10
W#3 DoublesKrishna Murali / Justin Truong vs Bob Kamangar / Jason Wilber6-2, 6-0
2022-09-11Won 10
W#3 DoublesAllen Shih / Justin Truong vs Ronald Chin / Vinay Prabhu6-3, 6-1
W#3 DoublesAllen Shih / Justin Truong vs Eli Sheynin / Scott Baggett6-3, 6-3
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 8.5 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 3.96 estimated across 11 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.

4.71
Sumant Sabada
published
4.37
Ryan Stark
published
4.21
Aditya Sudhakar
published 4.5
4.19
Allen Shih
published 4.5
4.08
Daniel Lu
published 4.5
4.04
Ping Yu
published
Andy Cheng
published 4
3.72
Rick Truong
published
3.70
Johnny Cheng
published
3.63
Justin Truong
usually #3 Doubles 50%, also #2 Doubles 36% · published
3.60
Paul Sexton
published
3.26
Suhardi Tjoa
published
Pete Torres
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.

Daniel Lu + Allen Shih404 matchesnot enough data
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.

Sumant Sabada
4W–4L career · no lines in 2022
5%94%1%
4.71
Ryan Stark
5W–1L career · no lines in 2022
85%15%<1%
4.37
4.5
Aditya Sudhakar
2W–4L career · no lines in 2022
5%94%1%
4.21
4.5
Allen Shih
39W–4L career · no lines in 2022
7%92%1%
4.19
4.5
Daniel Lu
13W–2L career · no lines in 2022
28%72%<1%
4.08
Ping Yu
25W–20L career · no lines in 2022
<1%38%62%
4.04
4
Andy Cheng
2W–1L career · type M · no lines in 2022
not enough data
Rick Truong
15W–12L career · no lines in 2022
4%94%2%
3.72
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
Paul Sexton
6W–8L career · no lines in 2022
22%78%<1%
3.60
Suhardi Tjoa
19W–12L career · no lines in 2022
2%94%3%
3.26
Pete Torres
1W–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.