Teams

SGV Flint Fighters- Ortiz Reyes-Flint Canyon/SA12

2025 Winter Team Singles · SGV - Men 4.0

10 players · average NTRP 3.75 / SO.CALIFORNIA

View scouting list →
Schedule4 played
W#1 SinglesRichard Ortiz-Reyes vs Stanley Tong6-0, 7-6
W#2 SinglesMiguel Ortiz-Reyes vs Mark Shiroishi6-1, 6-3
L#3 SinglesWilliam Pence vs Daniel Herman1-6, 2-6
2025-03-01vs SGV LLW Bubble team-Yu-WN/SALost 02
L#1 SinglesNicola Pancotti vs Shaoxiong Yuan2-6, 7-5, 0-1
L#2 SinglesKevin Maldonado vs Edward Yu5-7, 5-7
W#1 SinglesSimon Kim vs Andy Miller6-1, 6-3
L#2 SinglesVladimir Abadzhev vs Ramiro Rivas5-7, 2-6
W#3 SinglesBradley Harris vs Phillip Lee6-4, 5-7, 1-0
2025-01-12vs SGV Vipers-Rauen-Lakewood TC/SU10Lost 12
L#1 SinglesMiguel Ortiz-Reyes vs David Zobler6-7, 2-6
W#2 SinglesRichard Ortiz-Reyes vs Geoffrey Rauen6-2, 6-1
L#3 SinglesVladimir Abadzhev vs Beman Li2-6, 5-7
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 SGV - 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 3.72 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.

3.82
Simon Kim
usually #1 Singles 100% · published
3.81
Miguel Ortiz-Reyes
usually #2 Singles 50%, also #1 Singles 50% · published
3.81
Raphael Laigneau
published
3.78
Richard Ortiz-Reyes
usually #1 Singles 50%, also #2 Singles 50% · published
3.69
Bradley Harris
usually #3 Singles 100% · published 4
3.64
Nicola Pancotti
usually #1 Singles 100% · published
3.62
William Pence
usually #3 Singles 100% · published
3.56
Vladimir Abadzhev
usually #3 Singles 50%, also #2 Singles 50% · published
Felipe Velasquez
published 3.5
Kevin Maldonado
usually #2 Singles 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.

Richard Ortiz-Reyes + Miguel Ortiz-Reyes314 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.

Simon Kim
7W–9L career · 1 line in 2025
1%91%8%
3.82
Miguel Ortiz-Reyes
29W–18L career · 2 lines in 2025
1%91%8%
3.81
Raphael Laigneau
8W–4L career · no lines in 2025
1%92%7%
3.81
Richard Ortiz-Reyes
22W–10L career · 2 lines in 2025
2%94%4%
3.78
4
Bradley Harris
4W–2L career · 1 line in 2025
7%92%1%
3.69
Nicola Pancotti
1W–7L career · 1 line in 2025
15%85%<1%
3.64
William Pence
15W–20L career · 1 line in 2025
18%82%<1%
3.62
Vladimir Abadzhev
7W–14L career · 2 lines in 2025
31%69%<1%
3.56
3.5
Felipe Velasquez
1W–1L career · no lines in 2025
not enough data
Kevin Maldonado
0W–2L 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.