Teams

GEPTA-3.5-Adult/M(Tepsick)(TW)

SouthernNewMexico · 2024 USA FALL ADULT 18 & OVER LEAGUE

17 players · average NTRP 3.50 / GEPTA

View scouting list →
Schedule4 played
2023-11-30Lost 01
L#1 DoublesJeffrey Alley / Jay Smith vs Jared Nieman / Luis Herran2-6, 2-6
2023-11-02Lost 01
L#1 DoublesJay Smith / Daniel Trejo vs Seth Chavez / Michael Bailey5-7, 3-6
2023-10-03Lost 01
L#1 DoublesThomas Lore / Jay Smith vs Enrique Roldan / Humberto Cardiel3-6, 6-4, 1-0
2023-09-21Lost 01
L#1 DoublesThomas Lore / Jay Smith vs Carlos Meza / Jesus Monarrez2-6, 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 standings8 teams · 2024 USA FALL ADULT 18 & OVER LEAGUE
TeamWLInd. WInd. LSets lostGames lost
1GEPTA/Cisneros/18&over /3.5M92441133403
2GEPTA-3.5-Adult/M(Tepsick)(TW)92352048426
3GEPTA-3.5-Adult/M(Harrison)(EPCC#1)74292657461
4GEPTA-3.5-Adult/M(Lopez)(EPTC#1)75322867537
5GEPTA-3.5-Adult/M(Kim)(FB)65302559500
6GEPTA-3.5-Adult/M(Estrada)(EPTC#2)29203576564
7GEPTA-3.5-Adult/M(Overly)(EPCC#2)210144699659
8GEPTA-3.5-Adult/M(Smith)(CCC)16102554355

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 3.13 estimated across 7 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.

3.64
Eric Swanson
usually #1 Doubles 41%, also #2 Doubles 32% · published 4
3.17
Daniel Trejo
usually #1 Doubles 35%, also #2 Doubles 29% · published 3.5
3.17
Jay Smith
usually #1 Doubles 100% · published
3.14
Eloy Tinajero
usually #3 Doubles 32%, also #1 Doubles 32% · published 3.5
2.99
Findlay Yepo
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
2.93
Ed Savedra
usually #2 Doubles 34%, also #1 Doubles 32% · published 3.5
2.90
Christopher Mowad
usually #1 Doubles 40%, also #3 Doubles 40% · published 3
Jared Jones
usually #1 Singles 57%, also #2 Singles 29% · published
Jeffrey Alley
usually #3 Doubles 56%, also #1 Doubles 22% · published
Marco Prince
usually #2 Doubles 33%, also #2 Singles 19% · published
Marcus Kern
usually #2 Doubles 44%, also #3 Doubles 31% · published
Olac Fuentes
usually #1 Singles 33%, also #2 Singles 22% · published
Ralu Hinojos
usually #3 Doubles 41%, also #2 Doubles 22% · published
Thomas Lore
usually #2 Doubles 38%, also #1 Doubles 29% · published
Will Silverstein
usually #2 Singles 37%, also #1 Singles 22% · published
William Tepsick
usually #3 Doubles 52%, also #2 Doubles 29% · published
Yevgenko Makarov
usually #1 Doubles 36%, also #3 Doubles 29% · 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.

Thomas Lore + Marco Prince3356% games+6.1% vs expected
Thomas Lore + Yevgenko Makarov5357% games+4.0% vs expected
Jeffrey Alley + Yevgenko Makarov4154% games−4.5% vs expected
Thomas Lore + Jeffrey Alley11552% games−6.3% vs expected
Daniel Trejo + Eric Swanson9066% gamesnot enough data
Eloy Tinajero + Yevgenko Makarov6355% gamesnot enough data
Thomas Lore + Jay Smith4357% gamesnot enough data
Jeffrey Alley + Findlay Yepo2545% gamesnot 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.

4
Eric Swanson
64W–45L career · 43 lines in 2024
14%86%<1%
3.64
3.5
Daniel Trejo
39W–39L career · 16 lines in 2024
10%90%1%
3.17
Jay Smith
32W–48L career · 4 lines in 2024
10%89%<1%
3.17
3.5
Eloy Tinajero
43W–41L career · 22 lines in 2024
14%86%<1%
3.14
3.5
Findlay Yepo
39W–48L career · 15 lines in 2024
54%46%<1%
2.99
3.5
Ed Savedra
58W–75L career · 38 lines in 2024
71%29%<1%
2.93
3
Christopher Mowad
25W–29L career · 10 lines in 2024
<1%77%23%
2.90
Jared Jones
42W–24L career · 21 lines in 2024
not enough data
Jeffrey Alley
46W–45L career · 18 lines in 2024
not enough data
Marco Prince
54W–57L career · 18 lines in 2024
not enough data
Marcus Kern
30W–16L career · 16 lines in 2024
not enough data
Olac Fuentes
38W–24L career · 34 lines in 2024
not enough data
Ralu Hinojos
52W–38L career · 26 lines in 2024
not enough data
Thomas Lore
66W–72L career · 21 lines in 2024
not enough data
Will Silverstein
48W–25L career · 25 lines in 2024
not enough data
William Tepsick
21W–83L career · 31 lines in 2024
not enough data
Yevgenko Makarov
74W–60L career · 28 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.