Teams

IE-TCC-Cardona

2023 SoCal Fall Doubles 18 & Over - IE · IE Men 3.5

9 players · average NTRP 3.50 / SO.CALIFORNIA

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Schedule6 played
2023-11-19vs IE-BC-BaglamaWon 20
W#1 DoublesTom Cardona / Joseph Chan vs David Boyd / Dennis Baglama6-3, 6-1
W#3 DoublesVictor Bernardez / Jie Liu vs Clark Pace / Robert Legagneur6-3, 6-0
2023-11-04vs IE-Elevenis-TranLost 01
L#1 DoublesDennis Ho / Tom Cardona vs Le Thuan / Hung Pham2-6, 4-6
2023-10-28vs IE-Bear Valley-MejiaWon 20
W#1 DoublesTom Cardona / Joseph Chan vs Wonsik Bollmann / Marius Sava6-3, 6-1
W#3 DoublesJie Liu / Victor Bernardez vs Kerrick Patterson / Miguel Gonzalez6-3, 6-2
2023-10-14vs IE-BC-BaglamaWon 20
W#1 DoublesTom Cardona / Joseph Chan vs Edwin Ustariz / Travis Geske6-3, 6-2
W#3 DoublesDavid Nighbert / Victor Bernardez vs Ethan Perkins / Royce Haggard6-2, 7-5
2023-10-01vs IE-Elevenis-TranLost 01
L#2 DoublesDennis Ho / Tom Cardona vs Kevin Dang / Le Thuan4-6, 6-4, 0-1
L#2 DoublesTom Cardona / Doug Hornecker vs Wayne West / Robbie Muyargas6-4, 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 standings for IE 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 3.30 estimated across 9 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.

3.63
Dennis Ho
published 3.5
3.45
Eric Purtell
published
3.39
Victor Bernardez
usually #3 Doubles 100% · published 3.5
3.35
Michael Gutierrez
published
3.33
Tom Cardona
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.24
Marcelino Vich
published
3.22
David Nighbert
published 3.5
3.16
Mark Mendoza
published
2.92
Kenneth Carney
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.

Eric Purtell + Mark Mendoza314 matchesnot enough data
Dennis Ho + Tom Cardona213 matchesnot enough data
Dennis Ho + Michael Gutierrez123 matchesnot enough data
Mark Mendoza + David Nighbert213 matchesnot enough data
Tom Cardona + David Nighbert123 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
Dennis Ho
10W–4L career · no lines in 2023
<1%18%82%
3.63
Eric Purtell
4W–5L career · no lines in 2023
<1%63%37%
3.45
3.5
Victor Bernardez
99W–94L career · 3 lines in 2023
<1%78%22%
3.39
Michael Gutierrez
8W–10L career · no lines in 2023
1%85%14%
3.35
3.5
Tom Cardona
99W–55L career · 6 lines in 2023
1%87%12%
3.33
Marcelino Vich
8W–4L career · no lines in 2023
4%92%3%
3.24
3.5
David Nighbert
7W–4L career · no lines in 2023
6%92%2%
3.22
Mark Mendoza
7W–15L career · no lines in 2023
12%87%1%
3.16
Kenneth Carney
1W–13L career · no lines in 2023
73%27%<1%
2.92

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.