Teams

BC-Kramer/BrianKebschull

2025 ADULT 40 & OVER - Beach Cities · BC Men - 4.0

13 players · average NTRP 4.00 / SO.CALIFORNIA

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 →
Schedule1 played
2025-01-18vs BC-LLW-WestEnd/BarrySt.JohnWon 21
W#1 DoublesCody Mullenaux / Scott Kebschull vs Israel Mora / Ian Reichbach6-2, 6-2
W#1 SinglesSteven Chuang vs Carlos Souza4-6, 7-5, 1-0
L#2 DoublesYuichiro Takayanagi / David Ball vs Roberto Lima / Adam David Silverman6-1, 4-6, 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 BC Men - 4.0 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 3.63 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.

3.97
Steven Chuang
usually #1 Singles 100% · published
3.78
Brian Raymond
usually #1 Singles 75%, also #2 Doubles 25% · published 4
Cody Mullenaux
usually #1 Doubles 100% · published 4
3.72
David Ball
usually #2 Doubles 100% · published 4
3.71
Eric VanderPloeg
usually #1 Doubles 100% · published 4
3.58
Mark Landon
usually #1 Doubles 60%, also #2 Doubles 40% · published
3.57
Sean McFerson
published
3.49
Jesse Wu
published
3.46
Brian Kebschull
usually #2 Doubles 100% · published 4
3.36
William Padula
usually #1 Doubles 67%, also #2 Doubles 33% · published
Nick Palmieri
published
Scott Kebschull
usually #1 Doubles 100% · published
Yuichiro Takayanagi
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.

Brian Kebschull + Eric VanderPloeg8652% gamesnot enough data
Mark Landon + Eric VanderPloeg5750% gamesnot enough data
Mark Landon + Brian Kebschull5548% gamesnot enough data
Eric VanderPloeg + David Ball4252% gamesnot enough data
Mark Landon + Brian Raymond213 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.

Steven Chuang
5W–1L career · 1 line in 2025
<1%58%42%
3.97
4
Brian Raymond
68W–38L career · 4 lines in 2025
2%92%6%
3.78
4
Cody Mullenaux
1W–0L career · 1 line in 2025
not enough data
4
David Ball
5W–5L career · 1 line in 2025
5%92%2%
3.72
4
Eric VanderPloeg
186W–96L career · 6 lines in 2025
7%91%2%
3.71
Mark Landon
49W–56L career · 5 lines in 2025
29%71%<1%
3.58
Sean McFerson
0W–3L career · no lines in 2025
30%70%<1%
3.57
Jesse Wu
1W–6L career · no lines in 2025
53%47%<1%
3.49
4
Brian Kebschull
69W–77L career · 2 lines in 2025
60%40%<1%
3.46
William Padula
7W–8L career · 3 lines in 2025
<1%83%17%
3.36
Nick Palmieri
1W–2L career · no lines in 2025
not enough data
Scott Kebschull
1W–2L career · 1 line in 2025
not enough data
Yuichiro Takayanagi
0W–1L 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.