Teams

TCT:40+ 4.5:Pagano

2026 SCT Adult 40 & Over Men · 4.5 Men - 1

12 players · average NTRP 4.38 / SOUTHERN CONNECTICUT

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 →
Schedule1 played
2026-03-08vs KH:Spinackers:FrankSplit 22
L#1 DoublesPatrick Fraser / Adrian Louw vs Andrew Frank / Scott Patton5-7, 6-1, 0-1
L#1 SinglesManu Krishnan vs Peter Bailey2-6, 4-6
W#2 DoublesJohn Pagano / David van Zyl vs Hermann Behrens / Nils Boenicke6-3, 3-6, 1-0
W#3 DoublesJeffrey Brozek / Peter Lam vs William Seward / Keith Seidman6-0, 6-3
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 · 4.5 Men - 1
TeamWLInd. WInd. LSets lostGames lost
1TCT:40+ 4.5:Pagano0122533
2KH:Spinackers:Frank0122539

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 4.21 estimated across 6 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.

4.42
Brent Wiedmer
published 4.5
4.30
4.30
Jeffrey Brozek
usually #3 Doubles 100% · published
4.29
Lawrence Hirsch
published
Adrian Louw
usually #1 Doubles 100% · published 4.5
3.99
Peter Lam
usually #3 Doubles 100% · published
3.96
David van Zyl
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
Houssein El Turkey
published
John Pagano
published
Manu Krishnan
usually #1 Singles 100% · published
Patrick Fraser
usually #1 Doubles 100% · published
Paul Coorssen
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.

Brent Wiedmer + Aditya Mukund Subramanian4357% games+1.5% vs expected
Adrian Louw + Jeffrey Brozek404 matchesnot enough data
Adrian Louw + Paul Coorssen303 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.

4.5
Brent Wiedmer
39W–24L career · no lines in 2026
<1%72%27%
4.42
4.5
Aditya Mukund Subramanian
84W–47L career · no lines in 2026
2%91%8%
4.30
Jeffrey Brozek
88W–38L career · 1 line in 2026
2%91%8%
4.30
Lawrence Hirsch
70W–34L career · no lines in 2026
2%92%6%
4.29
4.5
Adrian Louw
31W–14L career · 1 line in 2026
not enough data
Peter Lam
73W–23L career · 1 line in 2026
<1%52%48%
3.99
4
David van Zyl
44W–30L career · 4 lines in 2026
<1%61%39%
3.96
Houssein El Turkey
28W–6L career · no lines in 2026
not enough data
John Pagano
35W–11L career · no lines in 2026
not enough data
Manu Krishnan
17W–9L career · 1 line in 2026
not enough data
Patrick Fraser
7W–9L career · 1 line in 2026
not enough data
Paul Coorssen
22W–11L career · no lines 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.