Teams

BTC

2025 Legends League (Fall) · 8.5 Men

15 players · average NTRP 3.83 / OAHU

View scouting list →
Schedule4 played
2025-10-12vs Clean SweepWon 10
W#2 DoublesRobert Thue / Leighton Lum vs Rodney Koizumi / Barry Nakasone6-4, 6-3
2025-09-28vs Clean SweepWon 10
W#3 DoublesLeighton Lum / Kenneth Makuakane vs Elton Choy / Rodney Koizumi7-5, 6-1
2025-09-24vs Clean SweepLost 01
L#1 DoublesRobert Hayashi / Leighton Lum vs Albert Dreith / Cy Yamamoto6-7, 1-6
2025-09-14vs Clean SweepWon 10
W#2 DoublesRobert Thue / Leighton Lum vs Cy Yamamoto / Rodney Koizumi6-4, 3-6, 1-0
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 · 8.5 Men
TeamWLInd. WInd. LSets lostGames lost
1BTC5215613162
2Clean Sweep2561530222

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 3.49 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.

3.93
Robert Beutenmiller
published
3.77
Arlie Eddins
published 4
3.71
Bruce Nagel
published 4
3.18
Leighton Lum
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
2.85
Stanley Hamada
published
Gale Ching
published
Herbert Moore
published
Kenneth Makuakane
published
Randy Neal
published
Richard Turbin
published
Robert Hayashi
published
Robert Thue
published
Stan Markle
published
Takayuki Fukuda
published
Wallace Hanzawa
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.

Arlie Eddins + Bruce Nagel224 matchesnot enough data
Gale Ching + Robert Hayashi033 matchesnot enough data
Gale Ching + Richard Turbin123 matchesnot enough data
Gale Ching + Randy Neal033 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.

Robert Beutenmiller
7W–4L career · no lines in 2025
<1%69%31%
3.93
4
Arlie Eddins
12W–12L career · no lines in 2025
3%92%5%
3.77
4
Bruce Nagel
28W–33L career · no lines in 2025
7%91%2%
3.71
3.5
Leighton Lum
42W–36L career · 4 lines in 2025
10%89%1%
3.18
Stanley Hamada
11W–42L career · no lines in 2025
85%15%<1%
2.85
Gale Ching
13W–30L career · no lines in 2025
not enough data
Herbert Moore
5W–16L career · no lines in 2025
not enough data
Kenneth Makuakane
20W–20L career · no lines in 2025
not enough data
Randy Neal
2W–51L career · no lines in 2025
not enough data
Richard Turbin
6W–36L career · no lines in 2025
not enough data
Robert Hayashi
4W–23L career · no lines in 2025
not enough data
Robert Thue
14W–28L career · no lines in 2025
not enough data
Stan Markle
0W–8L career · no lines in 2025
not enough data
Takayuki Fukuda
12W–7L career · no lines in 2025
not enough data
Wallace Hanzawa
9W–13L 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.