Teams

Golden Gate Park/Do/San Francisco

2024 Tri-Level 3.0 · 3.5

10 players · average NTRP 4.00 / NO. CALIFORNIA

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Schedule3 played
2024-10-12vs Pain in the Ace!/Austero/OakleyLost 12
L#1 DoublesChad Selph / Calvin Chang vs Kessler Amores / Moses Reyes2-6, 3-6
W#2 DoublesLance Zhou / Kevin Lu vs Joel Belangdal / Andrew Carlin7-5, 6-3
L#3 DoublesSudhanshu Garg / John Wilde vs Chris Adams / Gary Namanny7-6, 3-6, 0-1
W#1 DoublesChad Selph / Calvin Chang vs Muralidharan Jayavelan / Jimmy Le6-1, 6-3
W#2 DoublesKevin Lu / Lance Zhou vs Nathan Michael Mertz / Ashref Pattani6-3, 7-6
W#3 DoublesSudhanshu Garg / John Wilde vs Mohan Kumar Nadaraj Sivasubramaniam / FAIZAN AHMED6-3, 6-4
2024-10-11vs Double Trouble/Kakumani/FremontWon 21
W#1 DoublesAnthony Ciccone / Musashi Okada vs Aditya Bhuwania / Clifton Pang6-2, 6-3
W#2 DoublesMatthew Do / Lucas Fayet-Faber vs Hemanth K Popuri / Sasideep Kakumani6-7, 7-6, 1-0
L#3 DoublesMichael Wong / Jason Chapin vs Gulshan Kharbanda / Prathap Kudupu3-6
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 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 3.58 estimated across 8 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.

3.91
Lance Zhou
usually #2 Doubles 100% · published
3.75
Musashi Okada
usually #1 Doubles 100% · published
3.69
Lucas Fayet-Faber
usually #2 Doubles 100% · published
3.66
Anthony Ciccone
usually #1 Doubles 100% · published 4
3.63
Chad Selph
usually #1 Doubles 100% · published 4
3.46
Kevin Lu
usually #2 Doubles 100% · published
3.38
Matthew Do
usually #2 Doubles 100% · published
3.17
Jason Chapin
usually #3 Doubles 100% · published
John Wilde
usually #3 Doubles 100% · published
Sudhanshu Garg
usually #3 Doubles 100% · 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.

Musashi Okada + Anthony Ciccone303 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.

Lance Zhou
6W–8L career · 2 lines in 2024
<1%74%26%
3.91
Musashi Okada
9W–2L career · 1 line in 2024
4%93%4%
3.75
Lucas Fayet-Faber
3W–3L career · 1 line in 2024
9%90%1%
3.69
4
Anthony Ciccone
3W–1L career · 1 line in 2024
12%87%1%
3.66
4
Chad Selph
4W–4L career · 2 lines in 2024
17%83%<1%
3.63
Kevin Lu
6W–2L career · 2 lines in 2024
<1%63%37%
3.46
Matthew Do
3W–7L career · 1 line in 2024
81%19%<1%
3.38
Jason Chapin
11W–4L career · 1 line in 2024
11%88%1%
3.17
John Wilde
1W–6L career · 2 lines in 2024
not enough data
Sudhanshu Garg
1W–1L career · 2 lines in 2024
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.