Teams

HOCO - Wharton

2026 MATA USTA MXD 18 & Over - Summer Thursday Night · 4.0 MIXED THURSDAY

13 players · average NTRP 4.00 / GEORGIA

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
2026-07-02vs MATA/Todd SmithWon 21
L#1 DoublesMarlo Bautista / Karley Crain vs John Akridge / Melanie Rubanov4-6, 7-5, 0-1
W#2 DoublesPhil Hoang / Vanessa Brooks vs Scott Bedgood / Stacy Byrd6-2, 6-1
W#3 DoublesBrantley Stone / Tricia Wharton vs Sandra Rubanov / Todd Smith6-3, 5-7, 1-0
2026-06-28vs MATA/Todd SmithLost 12
W#1 DoublesMarlo Bautista / Windy Dehem vs Arlon Williams / Florence Thompson6-4, 7-5
L#2 DoublesBrantley Stone / Tricia Wharton vs Pat Patton / Becca McLeod6-1, 1-6, 0-1
L#3 DoublesNoah Goff / Jennifer Sweenor vs Todd Smith / Danielle Dailey7-5, 5-7, 0-1
2026-06-25vs MATA/Todd SmithLost 12
L#1 DoublesPhil Hoang / Windy Dehem vs John Akridge / Florence Thompson3-6, 6-1, 0-1
W#2 DoublesMarlo Bautista / Karley Crain vs Luke Kinser / Haley Yarbrough6-3, 6-1
L#3 DoublesRodney Wilson / Kiara Laurent vs Benjamin Smith / Stacy Byrd3-6, 3-6
2026-06-11vs MATA/Todd SmithLost 03
L#1 DoublesMarlo Bautista / Windy Dehem vs Bowen DuVal / Florence Thompson3-6, 3-6
L#2 DoublesBrantley Stone / Tricia Wharton vs Pat Patton / Sandra Rubanov3-6, 3-6
L#3 DoublesRodney Wilson / Jennifer Sweenor vs Danielle Dailey / Arlon Williams3-6, 6-3, 0-1
2026-06-04vs MATA/Todd SmithWon 21
W#1 DoublesMarlo Bautista / Windy Dehem vs John Akridge / Melanie Rubanov6-3, 6-1
W#2 DoublesJennifer Sweenor / Phil Hoang vs Benjamin Smith / Becca McLeod7-5, 6-4
L#3 DoublesRodney Wilson / Vanessa Brooks vs Luke Kinser / Lisa Wilcox1-6, 4-6
2026-05-28vs MATA/Todd SmithLost 12
L#1 DoublesMarlo Bautista / Molly Sims vs Arlon Williams / Florence Thompson2-6, 2-6
L#2 DoublesPhil Hoang / Kiara Laurent vs Haley Yarbrough / Luke Kinser2-6, 1-6
W#3 DoublesMarian Wharton / Noah Goff vs Scott Bedgood / Danielle Dailey6-2, 4-6, 1-0
2026-05-21vs MATA/Todd SmithLost 03
L#1 DoublesMolly Sims / Benjamin McMullen vs John Akridge / Melanie Rubanov0-6, 2-6
L#2 DoublesMarian Wharton / Marlo Bautista vs Arlon Williams / Lisa Wilcox3-6, 3-6
L#3 DoublesPhil Hoang / Tricia Wharton vs Bowen DuVal / Florence Thompson6-4, 0-6, 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 standings2 teams · 4.0 MIXED THURSDAY
TeamWLInd. WInd. LSets lostGames lost
1MATA/Todd Smith5214720177
2HOCO - Wharton2571430205

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 3.64 estimated across 11 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.

3.96
Brantley Stone
usually #2 Doubles 67%, also #3 Doubles 33% · published 4
3.89
Windy Dehem
usually #1 Doubles 100% · published
3.86
Marlo Bautista
usually #1 Doubles 71%, also #2 Doubles 29% · published
3.81
Vanessa Brooks
usually #3 Doubles 50%, also #2 Doubles 50% · published
Benjamin McMullen
usually #1 Doubles 100% · published 4
3.73
Noah Goff
usually #3 Doubles 100% · published
3.67
Jennifer Sweenor
usually #3 Doubles 67%, also #2 Doubles 33% · published
3.54
Marian Wharton
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.50
Tricia Wharton
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.49
Molly Sims
usually #1 Doubles 100% · published
3.32
Rodney Wilson
usually #3 Doubles 60%, also #2 Doubles 20% · published
3.29
Kiara Laurent
usually #3 Doubles 40%, also #1 Doubles 40% · published
Karley Crain
usually #1 Doubles 50%, also #2 Doubles 50% · 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.

Marian Wharton + Marlo Bautista9454% games+5.0% vs expected
Tricia Wharton + Brantley Stone2740% games−15.4% vs expected
Marlo Bautista + Windy Dehem213 matchesnot enough data
Marlo Bautista + Jennifer Sweenor123 matchesnot enough data
Vanessa Brooks + Jennifer Sweenor303 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
Brantley Stone
20W–11L career · 3 lines in 2026
<1%61%38%
3.96
Windy Dehem
21W–11L career · 4 lines in 2026
<1%78%22%
3.89
Marlo Bautista
39W–23L career · 7 lines in 2026
<1%83%16%
3.86
Vanessa Brooks
26W–9L career · 2 lines in 2026
1%90%9%
3.81
4
Benjamin McMullen
0W–1L career · type S · 1 line in 2026
not enough data
Noah Goff
20W–9L career · 2 lines in 2026
5%92%3%
3.73
Jennifer Sweenor
26W–20L career · 3 lines in 2026
12%87%1%
3.67
Marian Wharton
31W–27L career · 4 lines in 2026
<1%39%61%
3.54
Tricia Wharton
2W–8L career · 4 lines in 2026
51%49%<1%
3.50
Molly Sims
1W–6L career · 2 lines in 2026
52%48%<1%
3.49
Rodney Wilson
29W–37L career · 5 lines in 2026
1%89%10%
3.32
Kiara Laurent
50W–24L career · 5 lines in 2026
2%91%7%
3.29
Karley Crain
1W–1L career · 2 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.