Teams

PLClub

2024 One Doubles · 2.5 Men

6 players · average NTRP 2.83 / NORTHWEST WASHINGTON

View scouting list →
Schedule4 played
2024-08-08vs CrowsLost 01
L#1 DoublesZhikai Cui / Alex Tang vs Lucio Tiberi / Ravdeep Pasricha6-4, 5-7, 0-1
2024-07-15vs Pancake ServiceWon 10
W#1 DoublesMandar Pophali / Thomas Nilsson vs Seagan Keefe / Connor Blomquist6-0, 7-6
2024-07-05vs NWW-ZhangLost 01
L#1 DoublesMandar Pophali / Thomas Nilsson vs Bo Zhang / Jieming Di6-3, 3-6, 0-1
2024-06-24vs NWW-LiLost 01
L#1 DoublesThomas Nilsson / Mandar Pophali vs Bojin Li / Sameer Karnik3-6, 6-4, 0-1
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 standings4 teams · 2.5 Men
TeamWLInd. WInd. LSets lostGames lost
1NWW-Li5050117
2Crows2323851
3PLClub1414851
4Pancake Service05051060

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 2.75 estimated across 3 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.

2.92
Alvin Han
published 3
2.77
Mandar Pophali
usually #1 Doubles 100% · published
2.57
Thomas Nilsson
usually #1 Doubles 100% · published 3
Alex Tang
usually #1 Doubles 100% · published 2.5
Kedar Gajanan Kale
published
Zhikai Cui
usually #1 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.

Thomas Nilsson + Mandar Pophali3362% games+5.0% vs expected
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
Alvin Han
32W–32L career · no lines in 2024
<1%72%27%
2.92
Mandar Pophali
21W–17L career · 3 lines in 2024
3%92%5%
2.77
3
Thomas Nilsson
25W–20L career · 3 lines in 2024
32%68%<1%
2.57
2.5
Alex Tang
2W–8L career · 1 line in 2024
not enough data
Kedar Gajanan Kale
3W–2L career · no lines in 2024
not enough data
Zhikai Cui
1W–5L career · 1 line 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.