Teams

SGV Dare Doubles-Tien-WN/SU

2025 Winter Team Singles · SGV - Men 3.0

8 players · average NTRP 3.33 / SO.CALIFORNIA

View scouting list →
Schedule7 played
2025-04-06vs SGV Super Servers-Schiffman- WN/SALost 02
L#1 SinglesTAREK BABA vs Ted Randall7-6, 4-6, 0-1
L#2 SinglesAfonso Miu vs Larry Reed6-3, 2-6, 0-1
2025-03-22vs SGV ZZZ-Zang-Scholl/SA10Lost 12
L#1 SinglesJason Tien vs Kirby Xu5-7, 2-6
L#2 SinglesAfonso Miu vs Zhenqi Zhang4-6, 2-6
W#3 SinglesGongqin Shen vs Changlin Wu6-1, 6-4
2025-03-16vs SGV Super Servers-Schiffman- WN/SALost 01
L#3 SinglesGongqin Shen vs Paul Getto3-6, 7-6, 0-1
2025-03-02vs SGV ZZZ-Zang-Scholl/SA10Won 20
W#1 SinglesAnthony Canapi vs Kirby Xu7-6, 6-0
W#2 SinglesAfonso Miu vs Siyang Pei6-4, 6-2
W#1 SinglesKamron Shahriaree vs Shunkou Kinoshita6-1, 6-3
W#3 SinglesAfonso Miu vs Dan Schiffman6-2, 6-2
2025-02-16vs SGV ZZZ-Zang-Scholl/SA10Split 11
L#1 SinglesJonathan Ly vs Xiao Zhang0-6, 4-6
W#2 SinglesAnthony Canapi vs Zhenqi Zhang6-1, 6-4
W#1 SinglesAnthony Canapi vs Tim Green7-5, 6-2
W#3 SinglesTAREK BABA vs Sammy Tse6-3, 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 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 2.98 estimated across 7 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.

3.46
Kamron Shahriaree
usually #1 Singles 100% · published
Andy Baker
published 3.5
3.16
Anthony Canapi
usually #1 Singles 67%, also #2 Singles 33% · published 3.5
3.13
Jonathan Ly
usually #1 Singles 100% · published
2.96
Jason Tien
usually #1 Singles 100% · published
2.93
TAREK BABA
usually #3 Singles 50%, also #1 Singles 50% · published
2.65
Gongqin Shen
usually #3 Singles 100% · published
2.59
Afonso Miu
usually #2 Singles 75%, also #3 Singles 25% · published 3
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.

TAREK BABA + Jonathan Ly5164% games+8.1% vs expected
TAREK BABA + Anthony Canapi213 matchesnot enough data
Afonso Miu + Gongqin Shen033 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.

Kamron Shahriaree
51W–2L career · 1 line in 2025
<1%<1%>99%
3.46
3.5
Andy Baker
1W–0L career · no lines in 2025
not enough data
3.5
Anthony Canapi
13W–4L career · 3 lines in 2025
13%86%1%
3.16
Jonathan Ly
39W–11L career · 1 line in 2025
<1%18%82%
3.13
Jason Tien
20W–11L career · 1 line in 2025
<1%61%39%
2.96
TAREK BABA
26W–15L career · 2 lines in 2025
<1%70%30%
2.93
Gongqin Shen
6W–19L career · 2 lines in 2025
14%86%1%
2.65
3
Afonso Miu
13W–14L career · 4 lines in 2025
27%73%<1%
2.59

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.