Teams

The Traveling Nomads (Buckhorn) - J. Torres

2023 Hillsborough Adult 40 & Over · 4.5 Adult 40 & Over - Men

14 players · average NTRP 4.12 / REGION_3

View scouting list →
Schedule4 played
2023-05-20vs Hills/F. Gonzales/40&Over4.5MLost 01
L#1 DoublesRay Eckstein / Amerigo Devera vs Jeffrey Evans / James Evans3-6, 4-6
L#1 DoublesRay Eckstein / Amerigo Devera vs Ben Tucker / Peyton McLeod1-6, 1-6
2023-04-29vs Hills/F. Gonzales/40&Over4.5MLost 01
L#1 DoublesRay Eckstein / Amerigo Devera vs Manuel Alvarez / Felix Tromp2-6, 2-6
2023-04-22Won 10
W#1 DoublesRay Eckstein / Amerigo Devera vs Geoffrey Jones / Christopher Hethcox4-6, 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 standings for 4.5 Adult 40 & Over - Men 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 3.85 estimated across 14 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.

4.19
David Hennessee
published 4.5
4.14
Ray Pasinski
published
4.09
Mark Kanarek
published
4.08
Joshua McKinley
published
3.87
Paul Zack
published
3.86
Amer Aldeen
published 4
3.82
Amerigo Devera
usually #1 Doubles 100% · published 4
3.80
Felipe Martinez
published
3.75
Lance Hill
published
3.75
Vong Keovongsa
published
3.71
Ray Eckstein
usually #1 Doubles 100% · published 4
3.71
Wilman Daniel
published
3.63
Ricardo Ramirez
published
3.43
Javier Espinoza
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.

Paul Zack + Felipe Martinez10259% games+2.6% vs expected
Amerigo Devera + Ray Eckstein2440% gamesnot enough data
Ricardo Ramirez + Mark Kanarek1436% 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.

4.5
David Hennessee
2W–5L career · no lines in 2023
9%90%1%
4.19
Ray Pasinski
13W–14L career · no lines in 2023
15%84%1%
4.14
Mark Kanarek
3W–12L career · no lines in 2023
25%75%<1%
4.09
Joshua McKinley
3W–10L career · no lines in 2023
27%72%<1%
4.08
Paul Zack
31W–20L career · no lines in 2023
<1%82%18%
3.87
4
Amer Aldeen
13W–8L career · no lines in 2023
1%84%15%
3.86
4
Amerigo Devera
52W–70L career · 4 lines in 2023
1%89%10%
3.82
Felipe Martinez
23W–14L career · no lines in 2023
2%91%8%
3.80
Lance Hill
11W–8L career · no lines in 2023
4%93%4%
3.75
Vong Keovongsa
11W–16L career · no lines in 2023
4%93%3%
3.75
4
Ray Eckstein
64W–82L career · 4 lines in 2023
6%92%2%
3.71
Wilman Daniel
1W–2L career · no lines in 2023
7%91%2%
3.71
Ricardo Ramirez
2W–7L career · no lines in 2023
>99%<1%<1%
3.63
Javier Espinoza
4W–3L career · no lines in 2023
70%30%<1%
3.43

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.