Teams

JMorse (Queens)

2026 Combo Doubles 18 & Over League · 18 & Over Combo 6.5 Men - Mon PM

15 players · average NTRP 3.17 / NORTH CAROLINA

View scouting list →
Schedule5 played
2026-08-31vs GQuattlebaum/Reishman (OPRC)Lost 12
L#1 DoublesBrian Ng / Luke Deangelis vs Michael Reishman / Zachary Wagner3-6, 6-7
W#2 DoublesWill Gardner / Jared Kleber vs Gerald Quattlebaum / Aaron Ligon6-3, 6-0
L#3 DoublesIvan Blakeney / Mitchell Sermer vs Hale Cook / Matt Chambers7-6, 4-6, 1-0
2026-08-26vs MPaul (Jeff Adams)Won 21
W#1 DoublesLuke Deangelis / Jared Kleber vs Robert Sproule / Brian Cherhoniak6-2, 6-2
W#2 DoublesMitchell Sermer / Ivan Blakeney vs Alfonso Cabrera / Parker Cliatt6-1, 6-3
L#3 DoublesDaniel Muhtar / Nicholas Aquilino vs Benjamin Davis / Nile Crawford6-3, 3-6, 0-1
2026-08-17vs PTighe (Blakeney)Lost 12
W#1 DoublesIvan Blakeney / Nicholas Aquilino vs Michael Jeffs / Nick Larsen6-2, 6-4
L#2 DoublesWill Gardner / Dustin Ingram vs Siddhartha Savant / Fernando Gevaerd6-3, 3-6, 0-1
L#3 DoublesJeff Morse / Nathan Woods vs Jason Hafener / Christopher Dotson5-7, 2-6
2026-08-10vs KTremblay (Queens)Won 21
L#1 DoublesJames Granger / Dustin Ingram vs Kristopher Tremblay / Connor Lennon6-4, 1-6, 0-1
W#2 DoublesBrian Ng / Luke Deangelis vs Antonio Farrington / Daniel Tsuei6-2, 7-6
W#3 DoublesJared Kleber / Ryan Morse vs Karan Gupta / Andrew Sumallo6-1, 6-1
2026-08-03vs BLucio (Queens)Lost 03
L#1 DoublesNathan Woods / Nicholas Aquilino vs John Clayton / William Barnes1-6, 1-6
L#2 DoublesWill Gardner / Mitchell Sermer vs Will Lewis III / Chris Thorburn6-4, 3-6, 0-1
L#3 DoublesDaniel Muhtar / patrick hsu vs Brandon Lucio / Mingyi Yin2-6, 3-6
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 standings12 teams · 18 & Over Combo 6.5 Men - Mon PM
TeamWLInd. WInd. LSets lostGames lost
1BLucio (Queens)3090246
2CJacobs/ZGilbert (Queens)2051334
3GQuattlebaum/Reishman (OPRC)2172459
4JDichak (WSRC)2163872
5PSercer/MPease (Piper Glen)1142657
6JLewis (Raintree)1133759
7PTighe (Blakeney)1133852
8JMorse (Queens)1124856
9HPence (PLCC)12271493
10KTremblay (Queens)12361496
11PConway (Queens)033614101
12MPaul (Jeff Adams)030918107

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 3.18 estimated across 12 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.

3.48
Will Gardner
usually #2 Doubles 60%, also #1 Doubles 20% · published
3.45
James Granger
usually #1 Doubles 100% · published
3.35
Ivan Blakeney
usually #3 Doubles 50%, also #2 Doubles 25% · published
3.32
Nathan Woods
usually #3 Doubles 50%, also #1 Doubles 50% · published
Daniel Muhtar
usually #3 Doubles 100% · published 3.5
3.23
Luke Deangelis
usually #1 Doubles 67%, also #2 Doubles 33% · published
3.19
Mitchell Sermer
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.18
Brian Ng
usually #3 Doubles 50%, also #2 Doubles 25% · published 3
3.14
Jared Kleber
usually #3 Doubles 33%, also #1 Doubles 33% · published 3
3.11
Gerardo Estrada
published
3.01
Dustin Ingram
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.01
Ryan Morse
usually #3 Doubles 100% · published
2.69
Jeff Morse
usually #3 Doubles 100% · published
Nicholas Aquilino
usually #1 Doubles 67%, also #3 Doubles 33% · published
patrick hsu
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.

Ivan Blakeney + Mitchell Sermer123 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.

Will Gardner
6W–8L career · 5 lines in 2026
<1%55%45%
3.48
James Granger
12W–9L career · 1 line in 2026
<1%64%36%
3.45
Ivan Blakeney
13W–13L career · 4 lines in 2026
1%85%14%
3.35
Nathan Woods
6W–2L career · 2 lines in 2026
1%89%10%
3.32
3.5
Daniel Muhtar
0W–2L career · type S · 2 lines in 2026
not enough data
Luke Deangelis
3W–5L career · 3 lines in 2026
5%92%3%
3.23
Mitchell Sermer
13W–9L career · 3 lines in 2026
9%90%1%
3.19
3
Brian Ng
30W–37L career · 4 lines in 2026
<1%10%90%
3.18
3
Jared Kleber
34W–35L career · 3 lines in 2026
<1%16%84%
3.14
Gerardo Estrada
19W–26L career · no lines in 2026
21%79%<1%
3.11
Dustin Ingram
19W–26L career · 2 lines in 2026
<1%47%53%
3.01
Ryan Morse
7W–4L career · 1 line in 2026
<1%47%53%
3.01
Jeff Morse
7W–16L career · 1 line in 2026
9%90%1%
2.69
Nicholas Aquilino
1W–2L career · 3 lines in 2026
not enough data
patrick hsu
0W–1L 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.