Teams

LCTA18/Smith/WD

18 & Over Combo · 9.5 Men

9 players · average NTRP 4.62 / SOUTH CAROLINA

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Schedule3 played
2025-10-26vs LLAS UPTA18C/Stewart/GCCWon 20
W#2 DoublesDonald Bruner / Dakota Greathouse vs Hamilton Russell / John Wofford6-0, 6-0
W#3 DoublesJulian Tellez / Craig Leslie vs Clayton Jennings / Hamilton Russell6-2, 6-2
2025-10-26vs LATA18/Hunter/LCCWon 21
W#1 DoublesStanley Waters / Parker Davis vs William Wiggins / Joseph Roche Sr7-6, 6-4
L#2 DoublesDonald Bruner / Dakota Greathouse vs Lane Hinson / Charles Webb3-6, 4-6
W#3 DoublesJulian Tellez / Craig Leslie vs Nicholas Gaffos / Eric Hogue6-2, 6-2
2025-10-25vs LLAS UPTA18C/ Pandya/Holly TreeWon 20
W#1 DoublesStanley Waters / Parker Davis vs Hunter Yarborough / Evan Greer6-2, 6-2
W#3 DoublesDonald Bruner / Dakota Greathouse vs Toby Rawlings / Brian Bartlett6-1, 6-4
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 9.5 Men 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 4.43 estimated across 5 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.

4.79
Donald Bruner
usually #2 Doubles 67%, also #3 Doubles 33% · published
4.50
Dave Welch
published 5
4.38
Craig Leslie
usually #3 Doubles 100% · published 4.5
4.27
Dakota Greathouse
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
4.21
Chris Kiesel
published 4.5
Julian Tellez
usually #3 Doubles 100% · published
Parker Davis
usually #1 Doubles 100% · published
Stanley Waters
usually #1 Doubles 100% · published
William Shelley
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.

Dave Welch + Dakota Greathouse6254% gamesnot enough data
Dakota Greathouse + Donald Bruner2356% gamesnot enough data
Chris Kiesel + William Shelley314 matchesnot enough data
Dave Welch + Chris Kiesel303 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.

Donald Bruner
9W–8L career · 3 lines in 2025
no projection at this level
4.79
5
Dave Welch
35W–22L career · no lines in 2025
no projection at this level
4.50
4.5
Craig Leslie
33W–17L career · 2 lines in 2025
<1%80%20%
4.38
4.5
Dakota Greathouse
49W–40L career · 3 lines in 2025
3%92%5%
4.27
4.5
Chris Kiesel
21W–19L career · no lines in 2025
7%91%2%
4.21
Julian Tellez
3W–1L career · 2 lines in 2025
not enough data
Parker Davis
2W–0L career · 2 lines in 2025
not enough data
Stanley Waters
2W–0L career · 2 lines in 2025
not enough data
William Shelley
26W–18L 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.