Teams

Match Point Legends

2024 Legends League (Fall) · 6.5 Men

7 players · average NTRP 3.25 / OAHU

View scouting list →
Schedule6 played
2024-11-06vs KCC70+Won 20
W#1 DoublesGil Bueno / Francis Achiu vs Rodney Koizumi / James Hatashima6-0, 6-4
W#3 DoublesMichael Heafner / Harry Wong vs Richard Fong / Alvin Yamamoto6-2, 6-1
2024-10-30vs 70's ClassicsWon 20
W#1 DoublesHarry Wong / Michael Heafner vs Chris Wickham / Bernie Duarte6-2, 6-4
W#3 DoublesFrancis Achiu / Gil Bueno vs Glenn Fujitani / Milton Nitta6-2, 6-1
2024-10-16vs KCC70+Split 11
W#2 DoublesFrancis Achiu / Gil Bueno vs Byron Nagasako / Charles Kishimoto6-3, 6-1
L#3 DoublesMichael Heafner / Lyle Smith vs Rodney Koizumi / James Hatashima5-7, 6-7
2024-10-09vs 70's ClassicsWon 20
W#1 DoublesGil Bueno / Lyle Smith vs Milton Nitta / Geneson Coloma6-3, 1-0
W#2 DoublesMichael Heafner / Harry Wong vs Walter Albertson / Bernie Duarte6-1, 6-2
2024-09-25vs KCC70+Won 10
W#2 DoublesMichael Heafner / Gil Bueno vs Franklin Chee / Byron Nagasako6-4, 6-3
2024-09-18vs 70's ClassicsWon 20
W#1 DoublesFrancis Achiu / Gil Bueno vs Bruce Ladeira / Ron Sera6-0, 6-3
W#2 DoublesMichael Heafner / Steve Wendel vs Bernie Duarte / Glenn Fujitani7-6, 6-2
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 standings3 teams · 6.5 Men
TeamWLInd. WInd. LSets lostGames lost
1Match Point Legends51144899
2KCC70+3311714147
370's Classics1521632208

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 2.96 estimated across 4 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.

Francis Achiu
published 3.5
3.20
Gil Bueno
usually #1 Doubles 50%, also #2 Doubles 33% · published 3.5
3.05
Jeffrey Wong
published
2.82
Steve Wendel
published
2.77
Michael Heafner
usually #2 Doubles 50%, also #3 Doubles 33% · published 3
Harry Wong
published 3
Lyle Smith
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.

Michael Heafner + Francis Achiu8453% games−0.5% vs expected
Gil Bueno + Jeffrey Wong1635% gamesnot enough data
Lyle Smith + Jeffrey Wong314 matchesnot enough data
Harry Wong + Jeffrey Wong123 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.

3.5
Francis Achiu
52W–28L career · no lines in 2024
not enough data
3.5
Gil Bueno
73W–82L career · 6 lines in 2024
6%93%1%
3.20
Jeffrey Wong
34W–55L career · no lines in 2024
34%66%<1%
3.05
Steve Wendel
21W–44L career · no lines in 2024
92%8%<1%
2.82
3
Michael Heafner
60W–79L career · type A · 6 lines in 2024
2%94%4%
2.77
3
Harry Wong
9W–21L career · no lines in 2024
not enough data
Lyle Smith
20W–15L career · no lines in 2024
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.