Teams

ETC-Triple Fault-Parimi

2024 Coed 18-39 · 3.5 Coed

7 players · average NTRP 3.20 / NORTHWEST WASHINGTON

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Schedule7 played
2024-03-08vs BC-BrownLost 02
L#1 Male DoublesDinesh Parimi / Oliver Flatt vs Li Wang / Alexander Stark3-6
L#1 Male SinglesNicholas Allen vs Chris Martin2-6
2024-02-25vs AYTC-Penguins-HsuWon 10
W#1 Male DoublesWei Luk / Oliver Flatt vs Lynn Siebert / Zachary Hsiao6-2
2024-02-09vs BC-BrownSplit 11
W#1 Male DoublesWei Luk / Nicholas Allen vs Li Wang / Jeff Donnelly6-1
L#1 Male SinglesNicholas Allen vs Thomas Benjamin0-6
2024-02-03vs AYTC-ArakiWon 20
W#1 Male DoublesMarc Wolfer / Dinesh Parimi vs Johnny Deng / Foris Kuang6-3
W#1 Male SinglesMarc Wolfer vs Alan Pugh6-1
2024-01-27vs AYTC-K. KimLost 01
L#1 Male DoublesWinthrop Hubbard / Hai Cao vs Kevin Kim / Beagan Nguy2-6
L#1 Male DoublesYingxuan Zhi / Marc Wolfer vs Harben Mahil / Zain Aziz1-6
W#1 Male SinglesWinthrop Hubbard vs Harben Mahil6-1
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 standings15 teams · 3.5 Coed
TeamWLInd. WInd. LSets lostGames lost
1AYTC-Araki08371111136
2TCSP-Party Tennis-Casimo08351313174
3FC-Wasted Potential-Chua08351313142
4HBSQ-Slap City-Yu08321616155
5BTA-Lord of the Strings-Duncombe-Smith08301818175
6WSC-Meow-Dai08262222171
7AYTC-J. Kim08252323194
8ETC-Wunderlin08222626208
9BC-Brown08212727211
10AYTC-Casual Sets-Leong08192929205
11AYTC-See You in Court-Hoang08183030196
12ETC-Triple Fault-Parimi08183030216
13AYTC-K. Kim08153333234
14BTA-The Serve Squad-Sun08133535239
15AYTC-Penguins-Hsu08113737240

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.19 estimated across 6 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.

3.48
Marc Wolfer
usually #1 Male Doubles 50%, also #1 Male Singles 50% · published 3.5
3.44
Vanessa Zakhour
published
3.19
Dinesh Parimi
usually #1 Male Doubles 100% · published 3
3.13
Winthrop Hubbard
usually #1 Male Singles 50%, also #1 Male Doubles 50% · published 3.5
2.98
Nicholas Allen
usually #1 Male Singles 100% · published 3
2.90
Wei Luk
usually #1 Male Doubles 75%, also #1 Male Singles 25% · published 3
Oliver Flatt
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.

3.5
Marc Wolfer
52W–22L career · 2 lines in 2024
<1%55%45%
3.48
Vanessa Zakhour
28W–14L career · no lines in 2024
<1%68%32%
3.44
3
Dinesh Parimi
54W–25L career · 2 lines in 2024
<1%7%93%
3.19
3.5
Winthrop Hubbard
19W–19L career · 2 lines in 2024
16%84%<1%
3.13
3
Nicholas Allen
50W–32L career · 2 lines in 2024
<1%58%42%
2.98
3
Wei Luk
44W–53L career · 4 lines in 2024
<1%77%23%
2.90
Oliver Flatt
1W–4L career · no 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.