Teams

Ft Gatlin-Remington

2025 ORANGESEMINOLE Combo 50 & Over- Night · 8.5 Combo 50+ - Men

10 players · average NTRP 4.00 / REGION_4

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 →
Schedule2 played
2025-11-03vs Orange/DemetriadesLost 03
L#1 DoublesJohn Hoffman / Jared Remington vs Stephen Colavito / Tim Clark2-6, 3-6
L#2 DoublesKenton Wu / Mike Duong vs Simon Bravo / Kenneth Lim3-6, 7-6, 0-1
L#3 DoublesFredrik Andersson / Javier Gomez vs Todd Lash / Ramaswami Krishnan5-7, 1-6
2025-10-13vs Orange/DemetriadesWon 21
W#1 DoublesFredrik Andersson / John Hoffman vs Fernando Santiago / Stephen Colavito7-6, 7-6
L#2 DoublesMark Rose / Peter Vu vs Santiago Penzini / Tim Clark2-6, 2-6
W#3 DoublesMike Duong / Nelson San Pedro vs Kenneth Lim / Michael Thomas4-6, 6-3, 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 standings for 8.5 Combo 50+ - Men 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 3.75 estimated across 8 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.

3.83
Mike Duong
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.80
Orlando Monge
published 4
3.78
Fredrik Andersson
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.77
Jared Remington
usually #1 Doubles 100% · published
3.77
Kenton Wu
usually #2 Doubles 100% · published
3.76
Eric Acosta
published 4
3.72
3.54
Mark Rose
usually #2 Doubles 100% · published
Nelson San Pedro
usually #3 Doubles 100% · published
Peter Vu
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.

Kenton Wu + Mike Duong5253% games+4.3% vs expected
Mark Rose + Fredrik Andersson4155% gamesnot enough data
Eric Acosta + Orlando Monge213 matchesnot enough data
Mark Rose + Christiano Aguiar303 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.

Mike Duong
13W–7L career · 2 lines in 2025
1%90%10%
3.83
4
Orlando Monge
28W–22L career · no lines in 2025
1%92%7%
3.80
4
Fredrik Andersson
10W–8L career · 2 lines in 2025
2%94%4%
3.78
Jared Remington
8W–9L career · 1 line in 2025
2%94%4%
3.77
Kenton Wu
6W–6L career · 1 line in 2025
2%94%4%
3.77
4
Eric Acosta
3W–6L career · no lines in 2025
2%95%3%
3.76
4
Christiano Aguiar
8W–2L career · no lines in 2025
5%94%2%
3.72
Mark Rose
18W–8L career · 1 line in 2025
38%62%<1%
3.54
Nelson San Pedro
1W–1L career · 1 line in 2025
not enough data
Peter Vu
4W–3L 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.