Teams

SFV-Paseo United/Mike Zeltser & P Smith

2025 SoCal Doubles 18 SFV Fall WE · SFV 18 WEEKEND - Men 4.0

14 players · average NTRP 3.90 / SO.CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule1 played
L#1 DoublesChris Erickson / Philip Smith vs Daniel Kanemoto / Rogel Sardea1-6, 3-6
L#2 DoublesPaul Brosche / Gil Garteiz vs Phillip Nguyen / Shane Duffy1-6, 2-6
L#3 DoublesJames Miller / Edward Hatch vs Scott Conroy / Shaan Arora3-6, 2-6
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 standings for SFV 18 WEEKEND - 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 3.51 estimated across 12 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.

3.83
Alain Banas
published 4
3.81
Chris Erickson
usually #1 Doubles 100% · published 4
3.62
James Ordway
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.61
Frank Abt
usually #2 Doubles 100% · published 4
3.53
Sebastian Carvajal
published
3.52
Juan Solano
published
3.47
Gil Garteiz
usually #2 Doubles 100% · published
3.41
Paul Brosche
usually #2 Doubles 100% · published
3.40
Mikhail Zeltser
usually #1 Doubles 81%, also #2 Doubles 13% · published 3.5
3.39
Marcos Sevilla
published
3.31
Edward Hatch
usually #3 Doubles 100% · published
3.18
Oscar Campos
usually #1 Doubles 100% · published
Jake Stone
published
John Maly
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.

Frank Abt + Mikhail Zeltser11355% gamesnot enough data
Edward Hatch + Juan Solano033 matchesnot enough data
James Ordway + Frank Abt123 matchesnot enough data
James Ordway + Mikhail Zeltser123 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.

4
Alain Banas
3W–2L career · no lines in 2025
1%88%11%
3.83
4
Chris Erickson
4W–6L career · 1 line in 2025
1%90%9%
3.81
4
James Ordway
86W–120L career · 8 lines in 2025
20%80%<1%
3.62
4
Frank Abt
114W–63L career · 1 line in 2025
21%79%<1%
3.61
Sebastian Carvajal
4W–8L career · no lines in 2025
<1%<1%>99%
3.53
Juan Solano
9W–8L career · no lines in 2025
<1%<1%>99%
3.52
Gil Garteiz
15W–16L career · 1 line in 2025
<1%58%42%
3.47
Paul Brosche
4W–11L career · 1 line in 2025
74%26%<1%
3.41
3.5
Mikhail Zeltser
107W–80L career · 16 lines in 2025
<1%76%24%
3.40
Marcos Sevilla
2W–4L career · no lines in 2025
79%21%<1%
3.39
Edward Hatch
7W–21L career · 1 line in 2025
91%9%<1%
3.31
Oscar Campos
0W–5L career · 1 line in 2025
10%89%1%
3.18
Jake Stone
0W–2L career · no lines in 2025
not enough data
John Maly
0W–6L career · no lines 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.