Teams

WI Combo 9.5M MALT Kosobucki

2026 WI Combo · WI Combo 9.5 Men

11 players · average NTRP 4.50 / WISCONSIN

View scouting list →
Schedule5 played
2026-08-31vs WI Combo 9.5M MALT YeeSplit 11
L#2 DoublesCarlos Marquez / James Davidson vs Max Bohn / Nicholas Havlicek1-6, 6-4, 0-1
W#3 DoublesCarter Braxton / Jeremy Heidel vs Lee Taylor / Sujay K Shankar3-6, 6-3, 1-0
2026-08-24vs WI Combo 9.5M MALT YeeLost 12
L#1 DoublesCarter Braxton / Jacob Rodgers vs Justin Yee / Jonathan Figueira1-6, 7-5, 0-1
L#2 DoublesRicardo Martins / Jeremy Heidel vs Nicholas Havlicek / Shawn Lisann2-6, 4-6
W#3 DoublesTimothy Daley / Owen Grafe vs Andrew Liu / Max Bohn7-6, 4-6, 1-0
2026-08-17vs WI Combo 9.5M MALT YeeWon 21
W#1 DoublesCarter Braxton / Ricardo Martins vs Jonathan Figueira / Nicholas Havlicek4-6, 7-5, 1-0
W#2 DoublesCarlos Marquez / Jeremy Heidel vs Sujay K Shankar / Kaelan VanCleeff6-7, 6-1, 1-0
L#3 DoublesBrian Kosobucki / Jacob Rodgers vs Lee Taylor / Justin Yee6-3, 3-6, 0-1
2026-08-10vs WI Combo 9.5M MALT YeeLost 12
L#1 DoublesXavier Sanga / Cole Lindwall vs Nicholas Havlicek / Shawn Lisann4-6, 4-6
L#2 DoublesTimothy Daley / Carlos Marquez vs Max Bohn / Andrew Liu4-6, 7-6, 1-0
W#3 DoublesJacob Rodgers / Ricardo Martins vs Justin Yee / Jonathan Figueira6-4, 6-4
2026-08-03vs WI Combo 9.5M MALT YeeWon 21
W#1 DoublesCarter Braxton / Xavier Sanga vs Shawn Lisann / Nicholas Havlicek6-3, 6-4
W#2 DoublesJacob Rodgers / Owen Grafe vs Max Bohn / August LePique7-6, 7-5
L#3 DoublesJames Davidson / Carlos Marquez vs Lee Taylor / Justin Yee2-6, 1-6
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 Combo 9.5 Men
TeamWLInd. WInd. LSets lostGames lost
1WI Combo 9.5M MALT Kosobucki21541091
2WI Combo 9.5M MALT Yee12451295

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 4.34 estimated across 10 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.

4.49
Cole Lindwall
usually #1 Doubles 100% · published 4.5
4.49
Jacob Rodgers
usually #3 Doubles 50%, also #2 Doubles 25% · published 4.5
4.49
Xavier Sanga
usually #1 Doubles 100% · published
4.41
Carter Braxton
usually #1 Doubles 75%, also #3 Doubles 25% · published 4.5
4.37
Ricardo Martins
usually #2 Doubles 33%, also #1 Doubles 33% · published
4.29
Jeremy Heidel
usually #2 Doubles 60%, also #1 Doubles 20% · published
4.28
Brian Kosobucki
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
4.27
Owen Grafe
usually #3 Doubles 50%, also #2 Doubles 50% · published
4.25
Carlos Marquez
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
James Davidson
published 4.5
4.11
Timothy Daley
usually #3 Doubles 50%, also #2 Doubles 50% · 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.

Owen Grafe + Cole Lindwall6061% games+9.3% vs expected
Ricardo Martins + Carlos Marquez4163% games+8.5% vs expected
Owen Grafe + Carlos Marquez5361% games+7.2% vs expected
Xavier Sanga + Owen Grafe5064% games+6.4% vs expected
Jeremy Heidel + Timothy Daley10356% games+5.1% vs expected
Jeremy Heidel + Brian Kosobucki8260% games+4.8% vs expected
Timothy Daley + Carlos Marquez6258% games+3.4% vs expected
Ricardo Martins + Brian Kosobucki5263% games+1.7% 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.

4.5
Cole Lindwall
37W–14L career · 1 line in 2026
<1%52%48%
4.49
4.5
Jacob Rodgers
64W–22L career · 4 lines in 2026
<1%52%48%
4.49
Xavier Sanga
44W–16L career · 2 lines in 2026
<1%55%45%
4.49
4.5
Carter Braxton
22W–15L career · 4 lines in 2026
<1%75%25%
4.41
Ricardo Martins
58W–29L career · 3 lines in 2026
<1%84%15%
4.37
Jeremy Heidel
81W–47L career · 5 lines in 2026
1%94%5%
4.29
4.5
Brian Kosobucki
215W–114L career · 2 lines in 2026
2%94%4%
4.28
Owen Grafe
53W–23L career · 2 lines in 2026
2%94%4%
4.27
4.5
Carlos Marquez
114W–53L career · 6 lines in 2026
3%95%3%
4.25
4.5
James Davidson
8W–13L career · no lines in 2026
not enough data
Timothy Daley
116W–63L career · 2 lines in 2026
21%79%<1%
4.11

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.