Teams

WI Low Tri M Doubles (Early Fall) MALT M

2026 WI Tri-Level · WI Low Tri Men Doubles (Early Fall)

13 players · average NTRP 3.70 / WISCONSIN

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Schedule1 played
L#3 DoublesMichael Jiang / Andrew Tang vs Farid Masrour / Zachary Orlando6-3, 1-6, 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 standings2 teams · WI Low Tri Men Doubles (Early Fall)
TeamWLInd. WInd. LSets lostGames lost
1WI Low Tri M Doubles (Early Fall) MALT M1021326
2WI Low Tri M Doubles (Early Fall) MALT Masrour0112529

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 3.60 estimated across 9 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.

3.99
Alex Dundas
usually #2 Doubles 75%, also #3 Doubles 17% · published 4
3.87
Prathap Palaniswamy
usually #3 Doubles 50%, also #2 Doubles 33% · published
3.85
Brian Quinlivan
usually #2 Doubles 100% · published 4
Casey Jones
published 4
3.67
Krish M
usually #3 Doubles 57%, also #2 Doubles 29% · published
3.64
Aidan Stuckert
usually #3 Doubles 89%, also #2 Doubles 11% · published 3.5
3.52
Joe Leung
usually #3 Doubles 100% · published
3.45
Matthew Lister
usually #3 Doubles 80%, also #2 Doubles 20% · published
3.40
Hari Putti
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.01
Nishant Tilak
published
Andrew Tang
published 3
Krishne Gowda
published
Michael Jiang
usually #3 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.

Aidan Stuckert + Krish M15163% games+9.2% vs expected
Aidan Stuckert + Joe Leung7256% games+6.7% vs expected
Hari Putti + Prathap Palaniswamy30761% games+6.0% vs expected
Alex Dundas + Krish M224 matchesnot enough data
Hari Putti + Krish M404 matchesnot enough data
Hari Putti + Matthew Lister213 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.

4
Alex Dundas
128W–83L career · 12 lines in 2026
<1%52%48%
3.99
Prathap Palaniswamy
120W–25L career · 6 lines in 2026
<1%83%17%
3.87
4
Brian Quinlivan
34W–20L career · 5 lines in 2026
1%85%14%
3.85
4
Casey Jones
10W–8L career · no lines in 2026
not enough data
Krish M
110W–54L career · 7 lines in 2026
11%88%1%
3.67
3.5
Aidan Stuckert
65W–17L career · 9 lines in 2026
<1%16%84%
3.64
Joe Leung
53W–73L career · 4 lines in 2026
<1%45%55%
3.52
Matthew Lister
59W–22L career · 5 lines in 2026
<1%65%35%
3.45
Hari Putti
95W–52L career · 6 lines in 2026
<1%76%24%
3.40
Nishant Tilak
6W–8L career · no lines in 2026
<1%47%53%
3.01
3
Andrew Tang
6W–3L career · no lines in 2026
not enough data
Krishne Gowda
20W–10L career · no lines in 2026
not enough data
Michael Jiang
9W–2L career · 1 line 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.