Teams

GSTL18/Gardner/Prestwick

2025 Combo 18 & Over-GSTL · Adult Men - 8.5

12 players · average NTRP 4.17 / SOUTH CAROLINA

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Schedule3 played
2025-10-06vs GSTL18/Watts/RLTCLost 12
L#1 DoublesWilliam Potter / Nate Fata vs John Ellis / Barry Renner1-6, 3-6
L#2 DoublesAnthony Carmola / Mark Brown vs Kyle Sleem / Enzo Farrar1-6, 1-6
W#3 DoublesHanshu Zhang / Dan Muntean vs Jeff Kimbro / Hunter Stokes0-6, 7-6, 1-0
2025-09-02vs GSTL18/Watts/RLTCLost 03
L#1 DoublesJon Koceja / Anthony Carmola vs John Ellis / Enzo Farrar3-6, 6-7
L#2 DoublesWilliam Potter / Mark Brown vs Kyle Sleem / Jeff Kimbro3-6, 3-6
L#3 DoublesJoe Leo / Hanshu Zhang vs William Christiansen / Steve Starnes5-7, 4-6
2025-08-19vs GSTL18/Watts/RLTCLost 12
L#1 DoublesJim Quinney / Robert Purvis vs Steve Pepe / Jeff Kimbro1-6, 4-6
W#2 DoublesSeth Hartley / Anthony Carmola vs Kyle Sleem / Steve Starnes6-4, 6-4
L#3 DoublesJon Koceja / Dan Muntean vs Page Watts / William Christiansen6-2, 5-7, 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 Adult 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 3.72 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.

4.26
Anthony Carmola
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.07
Jon Koceja
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.87
William Potter
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.74
Dan Muntean
usually #3 Doubles 100% · published 4
3.71
Cheevin Gardner
published 4
3.68
Robert Purvis
usually #1 Doubles 100% · published
3.66
Jim Quinney
usually #1 Doubles 100% · published
3.64
Joe Leo
usually #3 Doubles 100% · published
2.82
Tim Harris
published
Hanshu Zhang
usually #3 Doubles 100% · published
Nate Fata
usually #1 Doubles 100% · published
Seth Hartley
usually #2 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.

Joe Leo + Jim Quinney123 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
Anthony Carmola
19W–9L career · type D · 3 lines in 2025
3%93%4%
4.26
Jon Koceja
6W–10L career · 2 lines in 2025
30%70%<1%
4.07
William Potter
9W–13L career · 2 lines in 2025
<1%81%18%
3.87
4
Dan Muntean
4W–5L career · 2 lines in 2025
5%92%3%
3.74
4
Cheevin Gardner
10W–9L career · no lines in 2025
7%91%2%
3.71
Robert Purvis
1W–5L career · 1 line in 2025
10%89%1%
3.68
Jim Quinney
5W–6L career · 1 line in 2025
13%86%1%
3.66
Joe Leo
9W–16L career · 1 line in 2025
15%84%1%
3.64
Tim Harris
1W–7L career · no lines in 2025
>99%<1%0%
2.82
Hanshu Zhang
1W–1L career · 2 lines in 2025
not enough data
Nate Fata
3W–2L career · 1 line in 2025
not enough data
Seth Hartley
1W–0L career · 1 line 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.