Teams

Voorheis/Goh 8.5 55

2025 South East Tennis Combo 55 & over · Men 8.5

12 players · average NTRP 4.00 / NORTH CAROLINA

View scouting list →
Schedule3 played
2025-10-04vs Baggett/ThompsonLost 02
L#1 DoublesCliff Sass / Dennis Lambi vs Kenneth Martin / Albert Elrod3-6, 1-6
L#2 DoublesHan-Leong Goh / Eric Boehling vs David Hartness / Glen Watford4-6, 0-6
2025-09-29vs Baggett/ThompsonWon 20
W#1 DoublesHan-Leong Goh / Eric Boehling vs Fred Scialabba / Steve Huber1-6, 6-3, 1-0
W#2 DoublesMike Voorheis / David Dooley vs Kenneth Martin / John Trimp5-5
2025-09-17vs Baggett/ThompsonLost 03
L#1 DoublesYoung O'Connor / James Seidel vs Albert Elrod / David Hartness3-6, 5-7
L#2 DoublesHan-Leong Goh / Rob Romero vs Paul Richards / William Edwards1-6, 2-6
L#3 DoublesEric Boehling / John Hirchak vs John Trimp / Mark Ray6-2, 2-6, 0-1
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 Men 8.5 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 3.65 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.

3.83
Cliff Sass
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.80
James Seidel
usually #1 Doubles 100% · published
3.72
David Dooley
usually #2 Doubles 100% · published 4
3.70
MacK Heath
usually #1 Doubles 80%, also #3 Doubles 20% · published
3.68
Young O'Connor
usually #1 Doubles 100% · published
3.63
John Hirchak
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.56
Mike Voorheis
usually #2 Doubles 100% · published
3.55
Eric Boehling
usually #3 Doubles 33%, also #2 Doubles 33% · published
3.54
Han-Leong Goh
usually #2 Doubles 67%, also #1 Doubles 33% · published
3.45
Dennis Lambi
usually #1 Doubles 86%, also #3 Doubles 14% · published 4
Joe Lucci
published
Kenneth Myers
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.

MacK Heath + David Dooley6159% games+2.6% vs expected
Han-Leong Goh + Eric Boehling213 matchesnot enough data
Cliff Sass + Dennis Lambi123 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
Cliff Sass
15W–13L career · 6 lines in 2025
1%87%12%
3.83
James Seidel
7W–4L career · 1 line in 2025
2%91%7%
3.80
4
David Dooley
8W–2L career · 1 line in 2025
6%92%2%
3.72
MacK Heath
11W–7L career · 5 lines in 2025
7%91%2%
3.70
Young O'Connor
5W–9L career · 1 line in 2025
10%89%1%
3.68
John Hirchak
7W–9L career · 4 lines in 2025
17%82%<1%
3.63
Mike Voorheis
10W–14L career · 1 line in 2025
32%68%<1%
3.56
Eric Boehling
6W–13L career · 3 lines in 2025
36%64%<1%
3.55
Han-Leong Goh
3W–7L career · 3 lines in 2025
39%61%<1%
3.54
4
Dennis Lambi
8W–11L career · 7 lines in 2025
65%35%<1%
3.45
Joe Lucci
0W–2L career · no lines in 2025
not enough data
Kenneth Myers
0W–3L career · no lines in 2025
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.