Teams

LA - Rise Above

2025 SoCal Doubles - LA · LA - Men 3.5

13 players · average NTRP 3.36 / SO.CALIFORNIA

View scouting list →
Schedule4 played
2025-11-02vs LA - Canyon Coyotes 3.5 MenWon 10
W#1 DoublesTyler Greene / Kelly McMillen vs Garen Amirganian / Lee Tsai6-3, 6-7, 1-0
2025-10-05vs LA - Mulholland 3.5MLost 01
L#1 DoublesDaniel Yu / Kelly McMillen vs Curt Kaplan / Josh Kline5-7, 3-6
2025-09-14vs LA - Different Strokes 3.5 MenWon 10
W#1 DoublesJessie Lance / Kelly McMillen vs Aja Saldana / Jonny Woods6-2, 6-1
L#1 DoublesKelly McMillen / Tyler Greene vs Noah Rastegar / Bryan Kariuki2-6, 2-6
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 LA - Men 3.5 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 3.16 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.

3.50
Jared Houseman
published
3.41
Kelly McMillen
usually #1 Doubles 100% · published
3.37
Tyler Greene
published
Adam Dworkin
published 3.5
Audie Leksunthon
published 3.5
Dillon Scribner
published 3.5
3.13
John Dotto
published
3.06
Todd McGuiness
published
2.97
Adam Samson
published 3
2.93
Dennis Alfelor
published 3.5
2.93
Alvin Chong
published 3.5
Jake Prevo
published 3
Jaron McDonnel
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.

Todd McGuiness + John Dotto134 matchesnot enough data
Alvin Chong + Audie Leksunthon033 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.

Jared Houseman
6W–3L career · no lines in 2025
<1%50%50%
3.50
Kelly McMillen
84W–81L career · 4 lines in 2025
<1%76%24%
3.41
Tyler Greene
6W–4L career · no lines in 2025
<1%85%15%
3.37
3.5
Adam Dworkin
1W–0L career · no lines in 2025
not enough data
3.5
Audie Leksunthon
0W–4L career · no lines in 2025
not enough data
3.5
Dillon Scribner
18W–22L career · no lines in 2025
not enough data
John Dotto
3W–9L career · no lines in 2025
16%84%<1%
3.13
Todd McGuiness
5W–10L career · no lines in 2025
32%67%<1%
3.06
3
Adam Samson
10W–9L career · no lines in 2025
<1%60%40%
2.97
3.5
Dennis Alfelor
0W–3L career · no lines in 2025
69%31%<1%
2.93
3.5
Alvin Chong
4W–13L career · type A · no lines in 2025
70%30%<1%
2.93
3
Jake Prevo
1W–1L career · no lines in 2025
not enough data
Jaron McDonnel
1W–0L 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.