Teams

ONE Doubles Transfer

TC EXCHANGE · TRANSFER

18 players · average NTRP 3.83 / NORTHERN

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings17 teams · TRANSFER
TeamWLInd. WInd. LSets lostGames lost
1ES Transfer000000
2WDL Transfer 2000000
3WDL Transfer 3000000
4ES Transfer 2000000
5Winter Transfer 18+000000
6Summer Transfer 18+000000
7Winter Transfer 40+000000
8Winter Transfer Mixed000000
9Summer Transfer 40+000000
10Winter Transfer 55+000000
11ONE Doubles Transfer000000
12Section Transfer000000
13Summer Transfer 55+000000
14Summer Transfer Mixed 40+000000
15Summer Transfer 65+000000
16Summer Transfer Mixed 18+000000
17Mixed 55+ Transfer000000

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 3.43 estimated across 16 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.

4.72
James Ayer
published
4.72
Anders Jensen
published 5
4.38
Alex King
published 4.5
4.33
Connor O'Meara
published 4.5
4.05
Melanie Vu
published
3.92
Leif Johnson
published
3.17
Laine Weinberg
published
3.10
Drew Turnblad
published
3.05
Mengyuan Wang
published
3.01
Fernando Furquim
published
2.98
Max Schumacher
published
2.88
Anand Ghaywankar
published 3
2.73
Claire Helmer
published 3
2.69
Eleanor Torrance
published
2.59
Haresh Siva
published
2.56
Alexa Hoffer
published 3
Margaret Farris
published
Matt Floden
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.

Max Schumacher + Fernando Furquim123 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.

James Ayer
20W–11L career · no lines in 2026
no projection at this level
4.72
5
Anders Jensen
16W–5L career · no lines in 2026
no projection at this level
4.72
4.5
Alex King
68W–61L career · no lines in 2026
<1%80%20%
4.38
4.5
Connor O'Meara
13W–10L career · no lines in 2026
1%88%11%
4.33
Melanie Vu
28W–6L career · no lines in 2026
<1%37%63%
4.05
Leif Johnson
39W–15L career · no lines in 2026
<1%70%30%
3.92
Laine Weinberg
35W–53L career · no lines in 2026
12%88%1%
3.17
Drew Turnblad
19W–9L career · no lines in 2026
<1%23%77%
3.10
Mengyuan Wang
21W–9L career · no lines in 2026
<1%36%64%
3.05
Fernando Furquim
12W–10L career · no lines in 2026
<1%47%53%
3.01
Max Schumacher
18W–13L career · no lines in 2026
<1%55%45%
2.98
3
Anand Ghaywankar
19W–13L career · no lines in 2026
<1%80%20%
2.88
3
Claire Helmer
1W–2L career · type S · no lines in 2026
5%92%3%
2.73
Eleanor Torrance
2W–2L career · no lines in 2026
9%89%1%
2.69
Haresh Siva
9W–11L career · no lines in 2026
27%73%<1%
2.59
3
Alexa Hoffer
5W–10L career · no lines in 2026
32%68%<1%
2.56
Margaret Farris
1W–2L career · no lines in 2026
not enough data
Matt Floden
0W–2L career · no lines in 2026
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.