Teams

WI Combo 7.5M MALT Wang

2026 WI Combo · WI Combo 7.5 Men

11 players · average NTRP 3.58 / WISCONSIN

View scouting list →
Schedule4 played
2026-08-26vs WI Combo 7.5M MALT KimLost 12
L#1 DoublesJeremy Parrish / Erik Deetz vs John Rice / Nithin Sathyamoorthy2-6, 4-6
L#2 DoublesKevin Grant / Jacob Immel vs Aidan Simkin / Woo J Kim6-2, 4-6, 0-1
W#3 DoublesEnes Akyuz / John Montognese-Bergamini vs Kevin Rodriguez / Christopher Green6-4, 6-2
2026-08-19vs WI Combo 7.5M MALT UlrichWon 30
W#1 DoublesKevin Grant / Christopher Cusack vs Arlen Ostreng / Jacob Chapman6-4, 6-4
W#2 DoublesJeremy Parrish / Shuai Li vs Jason Schleip / Braden Schleip7-5, 7-6
W#3 DoublesJose Nunes / Chase Peck vs Patrick Hoeth / Chris Collins7-5, 6-0
2026-08-12vs WI Combo 7.5M MALT MiuraWon 21
W#1 DoublesRyan Pohle / John Montognese-Bergamini vs Trevor Lapham / Alex Ellis6-0, 6-1
L#2 DoublesXiaotong Wang / Chase Peck vs Kai Bachmann / John Weyers6-3, 2-6, 1-0
W#3 DoublesEnes Akyuz / Shuai Li vs Edd Hellmer / Rahul Ray6-1, 7-6
2026-08-05vs WI Combo 7.5M MALT MayerWon 30
W#1 DoublesXiaotong Wang / Erik Deetz vs Matthew Mayer / Jeffrey Kolpek6-4, 4-3
W#2 DoublesRyan Pohle / Chase Peck vs Adam Cook / Kyle Cunningham6-7, 7-5, 1-0
W#3 DoublesEnes Akyuz / Christopher Cusack vs Jason Wang / Daniel Cobb6-0, 3-6, 1-0
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 standings8 teams · WI Combo 7.5 Men
TeamWLInd. WInd. LSets lostGames lost
1WI Combo 7.5M MALT Putti3090362
2WI Combo 7.5M MALT Wang2051442
3WI Combo 7.5M MALT Mercurio2051445
4WI Combo 7.5M MALT Bittrich1142547
5WI Combo 7.5M MALT Kim12271498
6WI Combo 7.5M MALT Ulrich02151067
7WI Combo 7.5M MALT Miura02151168
8WI Combo 7.5M MALT Mayer02061271

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 3.58 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.

3.89
Enes Akyuz
usually #3 Doubles 80%, also #1 Doubles 20% · published 4
3.85
Ryan Pohle
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.79
Jeremy Parrish
usually #2 Doubles 50%, also #3 Doubles 25% · published
3.74
Jose Nunes
usually #3 Doubles 100% · published
3.56
John Montognese-Bergamini
usually #1 Doubles 75%, also #3 Doubles 25% · published
3.54
Christopher Cusack
usually #1 Doubles 50%, also #2 Doubles 33% · published 3.5
3.50
Erik Deetz
usually #1 Doubles 100% · published 3.5
3.37
Jacob Immel
usually #2 Doubles 100% · published 3.5
3.34
Shuai Li
usually #3 Doubles 50%, also #2 Doubles 50% · published
Carl Sorge
published 3.5
3.21
Chase Peck
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
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.

Carl Sorge + John Montognese-Bergamini5359% games+8.5% vs expected
Ryan Pohle + Chase Peck16653% games+2.4% vs expected
Ryan Pohle + John Montognese-Bergamini7357% gamesnot enough data
Jeremy Parrish + Ryan Pohle3344% gamesnot enough data
Christopher Cusack + Jose Nunes2346% gamesnot enough data
Jeremy Parrish + John Montognese-Bergamini224 matchesnot enough data
Erik Deetz + Christopher Cusack314 matchesnot enough data
Carl Sorge + Jeremy Parrish213 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
Enes Akyuz
103W–61L career · 5 lines in 2026
<1%81%19%
3.89
Ryan Pohle
94W–80L career · 2 lines in 2026
<1%88%12%
3.85
Jeremy Parrish
165W–145L career · 4 lines in 2026
1%94%5%
3.79
Jose Nunes
59W–38L career · 1 line in 2026
3%95%2%
3.74
John Montognese-Bergamini
126W–113L career · 4 lines in 2026
<1%32%68%
3.56
3.5
Christopher Cusack
82W–60L career · 6 lines in 2026
<1%39%61%
3.54
3.5
Erik Deetz
16W–12L career · type A · 2 lines in 2026
<1%48%52%
3.50
3.5
Jacob Immel
72W–111L career · 1 line in 2026
<1%84%16%
3.37
Shuai Li
19W–8L career · 2 lines in 2026
<1%89%11%
3.34
3.5
Carl Sorge
54W–32L career · no lines in 2026
not enough data
3.5
Chase Peck
257W–173L career · 5 lines in 2026
5%93%1%
3.21

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.