Teams

WI Tri Alpha M Doubles MALT Yee

2024 WI Tri-Level · WI Alpha Doubles Men

9 players · average NTRP 4.00 / WISCONSIN

View scouting list →
Schedule5 played
L#2 DoublesBrayden Parman / Ryan Pohle vs Carlos Marquez / Timothy Daley6-2, 5-7, 0-1
L#2 DoublesBrayden Parman / Ryan Pohle vs Lance Encell / Lee Taylor6-3, 6-7, 0-1
W#2 DoublesRyan Pohle / Justin Yee vs Marius Dornhagen Schradermeier / Bjorn Hanson6-3, 6-2
2024-03-14Lost 01
L#2 DoublesBrayden Parman / Ryan Pohle vs Brian Kosobucki / James Davidson2-6, 1-6
L#2 DoublesRyan Pohle / John Bui vs Timothy Daley / Owen Grafe7-5, 2-6, 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 standings5 teams · WI Alpha Doubles Men
TeamWLInd. WInd. LSets lostGames lost
1WI Tri Alpha M Doubles MALT von Heimburg6217719211
2WI Tri Alpha M Doubles MALT Marquez6215923210
3WI Tri Alpha M Doubles MALT Cadigan44131124208
4WI Tri Alpha M Doubles MALT Dundas26101430220
5WI Tri Alpha M Doubles MALT Yee2651940267

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 4.13 estimated across 5 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.

4.47
Justin Yee
usually #1 Doubles 90%, also #2 Doubles 10% · published
4.40
Jonathan Figueira
usually #1 Doubles 100% · published
4.00
Brayden Parman
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.90
Elliott Appel
usually #2 Doubles 57%, also #3 Doubles 43% · published
3.85
Ryan Pohle
usually #2 Doubles 100% · published
Eric Leventhal
usually #3 Doubles 50%, also #2 Doubles 50% · published
Krishna Boregowda
usually #2 Doubles 60%, also #3 Doubles 40% · published
Pierce Jenkins
usually #3 Doubles 44%, also #1 Doubles 44% · published
Yingyan Wang
usually #1 Doubles 89%, also #2 Doubles 11% · 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.

Jonathan Figueira + Justin Yee15852% games+4.4% vs expected
Jonathan Figueira + Brayden Parman4255% gamesnot enough data
Elliott Appel + Brayden Parman3249% gamesnot enough data
Yingyan Wang + Jonathan Figueira314 matchesnot enough data
Ryan Pohle + Brayden Parman033 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.

Justin Yee
100W–50L career · 10 lines in 2024
<1%58%42%
4.47
Jonathan Figueira
89W–54L career · 12 lines in 2024
<1%76%24%
4.40
4
Brayden Parman
52W–50L career · 10 lines in 2024
<1%49%51%
4.00
Elliott Appel
82W–53L career · 7 lines in 2024
<1%76%24%
3.90
Ryan Pohle
47W–52L career · 5 lines in 2024
1%85%15%
3.85
Eric Leventhal
0W–6L career · 6 lines in 2024
not enough data
Krishna Boregowda
6W–32L career · 5 lines in 2024
not enough data
Pierce Jenkins
33W–25L career · 9 lines in 2024
not enough data
Yingyan Wang
14W–12L career · 9 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.