Teams

GEPTA-3.0-Adult/M(Hernandez)(FB)

SouthernNewMexico · 2024 USA FALL ADULT 18 & OVER LEAGUE

13 players · average NTRP 3.25 / GEPTA

View scouting list →
Schedule3 played
2023-10-08Lost 01
L#1 DoublesSteve Caceres / Ian Mendez vs Alberto Batalla / David Thurman3-6, 6-3, 0-1
2023-09-17Lost 01
L#2 SinglesSteve Caceres vs Enrique Roldan3-6, 5-7
2023-09-10Lost 01
L#1 SinglesSteve Caceres vs GUADALUPE CAZARES2-6, 0-6
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 standings6 teams · 2024 USA FALL ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Melendez/18&over /3.0M/WC111461431364
2GEPTA-3.0-Adult/M(Ferris)(EPTC#2)102431743438
3GEPTA-3.0-Adult/M(Hernandez)(FB)56262965497
4GEPTA-3.0-Adult/M(Montelongo)(EPTC#1)57283272531
5GEPTA-3.0-Adult/M(Chavez)(EPTC#3)46222859481
6GEPTA-3.0-Adult/M(Overly)(EPCC)38213471508

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 3.21 estimated across 1 rated player. 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.

3.21
Arvind Singhal
usually #2 Doubles 35%, also #1 Doubles 32% · published 3.5
Adolfo Velez
usually #3 Doubles 45%, also #2 Doubles 20% · published 3
Donald Rhodes
usually #2 Doubles 33%, also #3 Doubles 28% · published
James Lambeth
usually #1 Doubles 37%, also #3 Doubles 36% · published
Jorge Coreano
usually #2 Doubles 43%, also #1 Doubles 33% · published
Kevin Woodson
usually #1 Doubles 39%, also #2 Doubles 39% · published
Kirby Dennis
usually #1 Singles 40%, also #3 Doubles 27% · published
Manny Casillas
usually #3 Doubles 50%, also #1 Doubles 25% · published
Min Woo Kil
usually #3 Doubles 33%, also #2 Singles 33% · published
Nathan Saul
usually #3 Doubles 50%, also #4 Doubles 17% · published
Omar Pineda
usually #1 Doubles 46%, also #1 Singles 15% · published
Roman Hernandez
usually #2 Doubles 43%, also #3 Doubles 24% · published
Steve Caceres
usually #2 Singles 33%, also #1 Doubles 33% · 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.

Roman Hernandez + Omar Pineda7355% games+2.3% vs expected
Kevin Woodson + Jorge Coreano9652% gamesnot enough data
James Lambeth + Kevin Woodson3353% gamesnot enough data
James Lambeth + Jorge Coreano4256% gamesnot enough data
James Lambeth + Arvind Singhal4255% gamesnot enough data
Roman Hernandez + Donald Rhodes404 matchesnot enough data
Donald Rhodes + Kevin Woodson134 matchesnot enough data
Roman Hernandez + Kevin Woodson123 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
Arvind Singhal
50W–47L career · 37 lines in 2024
6%92%2%
3.21
3
Adolfo Velez
6W–14L career · 18 lines in 2024
not enough data
Donald Rhodes
26W–36L career · 18 lines in 2024
not enough data
James Lambeth
106W–98L career · 67 lines in 2024
not enough data
Jorge Coreano
55W–72L career · 21 lines in 2024
not enough data
Kevin Woodson
84W–67L career · 44 lines in 2024
not enough data
Kirby Dennis
7W–8L career · 15 lines in 2024
not enough data
Manny Casillas
12W–22L career · 12 lines in 2024
not enough data
Min Woo Kil
4W–5L career · 8 lines in 2024
not enough data
Nathan Saul
7W–5L career · 11 lines in 2024
not enough data
Omar Pineda
48W–38L career · 29 lines in 2024
not enough data
Roman Hernandez
46W–36L career · 21 lines in 2024
not enough data
Steve Caceres
0W–3L career · 3 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.