Teams

King

2022 South East Tennis Combo League 18 & OVER · Mens 6.5

10 players · average NTRP 3.67 / NORTH CAROLINA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule7 played
2022-10-01vs SerkinWon 10
W#3 DoublesKevin Cogan / Guilherme Perez vs Thomas Weldon / Stuart Moore6-1, 6-0
2022-09-24vs SuggsWon 10
W#1 DoublesAdrian Willis / Guilherme Perez vs Chris Barnes / Stuart Ross6-1, 6-2
2022-09-17vs Skane 18+Won 10
W#3 DoublesGuilherme Perez / Adrian Willis vs Terrance Williams / Derek Mickler6-3, 6-2
2022-09-10vs SuggsWon 10
W#3 DoublesGuilherme Perez / Adrian Willis vs Steve Kim / Stuart Ross6-0, 6-0
2022-08-29Won 10
W#1 DoublesNick Basta / Guilherme Perez vs Joseph Mininni / Stuart Moore6-1, 6-2
2022-08-27vs Skane 18+Won 10
W#1 DoublesAdrian Willis / Guilherme Perez vs Dale Benson / Arseniy Leontyev7-6, 6-0
2022-08-13vs Skane 18+Won 10
W#3 DoublesGuilherme Perez / Adrian Willis vs Arseniy Leontyev / David Baron6-4, 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 standings for Mens 6.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.37 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.

3.89
Guilherme Perez
usually #3 Doubles 50%, also #1 Doubles 33% · published 4
3.82
Laurence Nadeau
published
3.45
Kevin Cogan
published
3.35
Nick Basta
published
3.29
Bradley Matthews
published 3.5
3.22
Matthew Pflumm
published
3.15
Mike Jolley
published
3.11
Adrian Willis
published 3.5
3.03
Randall Shelton
published
Richard Gapski
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.

Laurence Nadeau + Nick Basta4449% games+2.8% vs expected
Matthew Pflumm + Kevin Cogan033 matchesnot enough data
Adrian Willis + Randall Shelton213 matchesnot enough data
Kevin Cogan + Bradley Matthews123 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
Guilherme Perez
203W–73L career · 12 lines in 2022
<1%79%21%
3.89
Laurence Nadeau
21W–10L career · no lines in 2022
1%91%8%
3.82
Kevin Cogan
55W–36L career · no lines in 2022
<1%64%36%
3.45
Nick Basta
33W–50L career · no lines in 2022
<1%87%13%
3.35
3.5
Bradley Matthews
19W–9L career · no lines in 2022
1%93%5%
3.29
Matthew Pflumm
20W–24L career · no lines in 2022
4%94%2%
3.22
Mike Jolley
22W–31L career · no lines in 2022
13%86%<1%
3.15
3.5
Adrian Willis
15W–21L career · no lines in 2022
19%81%<1%
3.11
Randall Shelton
14W–38L career · no lines in 2022
41%59%<1%
3.03
Richard Gapski
0W–1L career · no lines in 2022
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.