Teams

Jolley

2026 South East Tennis Singles 18 & Over League · 3.5 Men 18 & Over

4 players · average NTRP 3.00 / NORTH CAROLINA

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Schedule8 played
2026-02-21vs Oester 3.5 18+ SinglesLost 12
W#1 SinglesJohn Presswood vs Thomas Endress6-1, 2-6, 1-0
L#2 SinglesAdam Parker vs Robby Knapp6-4, 3-6, 0-1
L#3 SinglesMike Jolley vs Ryan Skane2-6, 4-6
2026-02-19vs Corbin PNCC 3.5Split 11
L#1 SinglesJohn Presswood vs Chad Corbin2-6, 6-7
W#3 SinglesMike Jolley vs Sean Fuller6-1, 6-1
2026-02-16vs Morillo 3.5 18+Lost 02
L#2 SinglesAdam Parker vs Ramy Kali0-6, 2-6
L#3 SinglesBrandon Flynt vs Ramon Aristy0-6, 3-6
2026-02-09vs Martorelli 18 singlesLost 12
L#1 SinglesJohn Presswood vs David McCabe4-6, 1-6
W#2 SinglesMike Jolley vs Tim Worman6-1, 6-4
L#3 SinglesAdam Parker vs Mike Montgomery2-6, 2-6
2026-01-24vs Oester 3.5 18+ SinglesLost 02
L#2 SinglesMike Jolley vs Thomas Endress2-6, 4-6
L#3 SinglesJohn Presswood vs Alan Oester3-6, 1-6
2026-01-19vs Morillo 3.5 18+Lost 02
L#2 SinglesAdam Parker vs Ramon Aristy3-6, 5-7
L#3 SinglesBrandon Flynt vs Dave Hiltbrand1-6, 0-6
2026-01-12vs Martorelli 18 singlesLost 03
L#1 SinglesJohn Presswood vs Mike Montgomery1-6, 1-6
L#2 SinglesMike Jolley vs Corey Kershaw3-6, 2-6
L#3 SinglesAdam Parker vs Keith Thomas4-6, 1-6
2026-01-10vs Corbin PNCC 3.5Lost 02
L#1 SinglesJohn Presswood vs Edward Everett4-6, 4-6
L#3 SinglesBrandon Flynt vs Sean Fuller0-6, 0-6
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 standings5 teams · 3.5 Men 18 & Over
TeamWLInd. WInd. LSets lostGames lost
1Martorelli 18 singles8019515175
2Oester 3.5 18+ Singles5315921177
3Corbin PNCC 3.544121225204
4Morillo 3.5 18+35111327208
5Jolley0832143268

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 2.98 estimated across 4 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.

3.18
Mike Jolley
usually #2 Singles 60%, also #3 Singles 40% · published
3.16
John Presswood
usually #1 Singles 83%, also #3 Singles 17% · published
3.05
Adam Parker
usually #2 Singles 60%, also #3 Singles 40% · published 3
2.51
Brandon Flynt
usually #3 Singles 100% · published 3
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.

Mike Jolley + Adam Parker123 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.

Mike Jolley
22W–29L career · 5 lines in 2026
10%89%1%
3.18
John Presswood
45W–33L career · 6 lines in 2026
<1%13%87%
3.16
3
Adam Parker
20W–18L career · 5 lines in 2026
<1%36%64%
3.05
3
Brandon Flynt
1W–10L career · type S · 3 lines in 2026
48%52%<1%
2.51

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.