Teams

Baughman/Knight BBTC 3.0

2025 Singles League 18 & Over-GC · Men 3.0

6 players · average NTRP 3.00 / MISSISSIPPI

View scouting list →
Schedule6 played
2025-12-11vs BBTC MATTHEWS SINGLESLost 03
L#1 SinglesDavid Baughman vs Geoffrey Knesal1-6, 3-6
L#2 SinglesAsa Barnes vs Hunter Hanson5-7, 1-6
L#3 SinglesRobert Mills vs Carter Allen6-1, 4-6, 0-1
2025-11-20vs Tocc 2025 3.0 #3Won 20
W#1 SinglesRobert Mills vs Adam Wilkerson6-7, 6-4, 1-0
W#2 SinglesDavid Baughman vs Mark Mathis7-6, 6-1
2025-11-17vs Gautier - TaylorLost 12
L#1 SinglesTyler Patin vs Joseph Mouney4-6, 3-6
L#2 SinglesAdam Mixon vs Rob Younger0-6, 2-6
W#3 SinglesAsa Barnes vs Christian Haynes6-0, 6-1
2025-11-10vs OSTC - FriersonLost 03
L#1 SinglesAsa Barnes vs Cody Frierson1-6, 2-6
L#2 SinglesAdam Mixon vs Alex Brechbiel6-4, 4-6, 0-1
L#3 SinglesColin Steenkamp vs Connor Boleware6-3, 2-6, 0-1
2025-11-03Won 21
L#1 SinglesTyler Patin vs Robert Carter6-3, 1-6, 0-1
W#2 SinglesRobert Mills vs Benjamin Smith6-3, 4-6, 1-0
W#3 SinglesAsa Barnes vs John Cleary4-6, 6-3, 1-0
2025-10-22vs TOCC Men's 3.0 BourcySplit 11
L#1 SinglesAsa Barnes vs Brian Brouckaert4-6, 7-6, 1-0
W#2 SinglesRobert Mills vs Solly Chedid6-2, 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 standings6 teams · Men 3.0
TeamWLInd. WInd. LSets lostGames lost
1Gautier - Taylor7119514161
2BBTC MATTHEWS SINGLES339920158
3Baughman/Knight BBTC 3.03371125166
4Tocc 2025 3.0 #32471122157
5TOCC Men's 3.0 Bourcy1451022160
6Biloxi Bacon1641735234

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 2.75 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.

3.06
Tyler Patin
usually #1 Singles 100% · published
2.85
Adam Mixon
usually #2 Singles 100% · published 3
Colin Steenkamp
usually #3 Singles 100% · published 3
2.71
David Baughman
usually #1 Singles 50%, also #2 Singles 50% · published 3
2.63
Asa Barnes
usually #1 Singles 40%, also #3 Singles 40% · published 3
2.49
Robert Mills
usually #2 Singles 50%, also #3 Singles 25% · 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.

Asa Barnes + Robert Mills4158% games+6.6% vs expected
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.

Tyler Patin
42W–21L career · 2 lines in 2025
<1%33%67%
3.06
3
Adam Mixon
55W–27L career · 2 lines in 2025
<1%88%12%
2.85
3
Colin Steenkamp
10W–6L career · 1 line in 2025
not enough data
3
David Baughman
20W–29L career · 2 lines in 2025
6%93%1%
2.71
3
Asa Barnes
28W–23L career · 5 lines in 2025
16%84%<1%
2.63
Robert Mills
14W–12L career · 4 lines in 2025
54%46%<1%
2.49

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.