Teams

ETC-Snowboarder-Han

2026 Coed 18-39 · 3.5 Coed

7 players · average NTRP 3.00 / NORTHWEST WASHINGTON

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Schedule6 played
2026-03-15vs AYTC-Nothing but Net-PatelLost 02
L#1 Female DoublesMan Feng / Keira Gao vs Thara Veeramachaneni / Christa Lum4-6
L#1 Male DoublesAlvin Han / Johnson Chieh Hao Huang vs Vivek Devi / Niket Thakkar1-6
2026-03-07vs WSC-The Winter We Crashed Out-ChuaLost 12
W#1 Female DoublesMan Feng / Paggy Jing Nie vs N/A6-0
L#1 Male DoublesAlvin Han / Johnson Chieh Hao Huang vs Kevin Coppa / Hyuga Schmidt2-6
L#1 Male SinglesJohnson Chieh Hao Huang vs Kevin Coppa4-6
2026-02-20vs RTC-Lord of Strings-AzizLost 02
L#1 Female SinglesMan Feng vs Vanessa Zakhour3-6
L#1 Male SinglesAlvin Han vs Zain Aziz0-6
2026-02-01vs TCSP-Sandpoint Slammers-FangLost 01
L#1 Male DoublesJohnson Chieh Hao Huang / Zeller Zheng vs Rohan Damle / Li Wang4-6
L#1 Female DoublesMan Feng / Emma Yao vs Sarah Lu / Connie Sun3-6
L#1 Male DoublesZeller Zheng / Alvin Han vs Nikhil Kagalwala / Ethan Chung1-6
W#1 Female DoublesMan Feng / Keira Gao vs Estelle Erhardt / Daria Opekunova4-3
W#1 Male DoublesAlvin Han / Johnson Chieh Hao Huang vs Simon Swifter / James Greg4-2
W#1 Male SinglesJohnson Chieh Hao Huang vs Andrew Stowers4-1
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 Coed 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 3.00 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.

3.16
Kaichen Zhang
published
3.08
Johnson Chieh Hao Huang
usually #1 Male Singles 50%, also #1 Male Doubles 50% · published
3.08
Man Feng
usually #1 Female Doubles 67%, also #1 Female Singles 33% · published 3
3.05
Zeller Zheng
published
2.91
Alvin Han
usually #1 Male Doubles 67%, also #1 Male Singles 33% · published 3
2.88
Paggy Jing Nie
published
2.83
Lulu Tan
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.

Man Feng + Alvin Han4447% games−12.7% vs expected
Johnson Chieh Hao Huang + Alvin Han123 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.

Kaichen Zhang
1W–4L career · no lines in 2026
12%88%<1%
3.16
Johnson Chieh Hao Huang
8W–26L career · 4 lines in 2026
26%74%<1%
3.08
3
Man Feng
36W–41L career · 9 lines in 2026
<1%27%73%
3.08
Zeller Zheng
23W–5L career · no lines in 2026
<1%36%64%
3.05
3
Alvin Han
32W–32L career · 9 lines in 2026
<1%75%25%
2.91
Paggy Jing Nie
14W–6L career · no lines in 2026
<1%82%17%
2.88
Lulu Tan
2W–2L career · no lines in 2026
1%90%10%
2.83

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.