Teams

SFV LLW - Paseo United - Mike Zeltser

2022 SoCal Fall Doubles 18+ SFV · SFV - Men 3.5

11 players · average NTRP 3.64 / 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 →
Schedule5 played
2022-11-19vs SFV - Burbank Breaking BadWon 10
W#2 DoublesMikhail Zeltser / Chuck van Vleet vs Gonzalo Mendez / Glen Chester6-3, 7-5
2022-10-15Won 10
W#3 DoublesMikhail Zeltser / Suneel Sajnani vs Michael Keppel / Shlomi ben Yehuda6-1, 6-1
2022-10-01vs SFV - Green MachineSplit 11
L#2 DoublesFrank Abt / Gil Garteiz vs Zach Horowitz / Ken Green2-6, 6-7
W#3 DoublesGregory Straub / Mikhail Zeltser vs Chris Burston / Michael Napal6-3, 7-5
2022-09-18vs SFV - 40 LoveWon 10
W#3 DoublesFrank Abt / James Wambolt vs Monte Donovan / Jaime Tovar6-3, 7-5
2022-09-10vs SFV - Braemar Big BallersWon 10
W#3 DoublesGregory Straub / Mikhail Zeltser vs Eric Thies / Keith Small6-7, 7-5, 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 SFV - 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 3.46 estimated across 11 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.

3.91
Chris Erickson
published 4
3.78
Sebastian Carvajal
published
3.76
Juan Solano
published
3.64
Frank Abt
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.56
Gil Garteiz
published 3.5
3.46
Mikhail Zeltser
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
3.41
Stuart Hofmann
published
3.23
Oscar Campos
published
3.15
Chuck van Vleet
published 3.5
3.10
Gregory Straub
published 3.5
3.03
James Wambolt
published 3.5
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
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
Chris Erickson
4W–6L career · no lines in 2022
<1%76%24%
3.91
Sebastian Carvajal
4W–8L career · no lines in 2022
2%94%5%
3.78
Juan Solano
9W–8L career · no lines in 2022
2%95%3%
3.76
4
Frank Abt
114W–63L career · 2 lines in 2022
14%85%<1%
3.64
3.5
Gil Garteiz
15W–16L career · no lines in 2022
<1%31%69%
3.56
3.5
Mikhail Zeltser
107W–80L career · 4 lines in 2022
<1%62%38%
3.46
Stuart Hofmann
2W–1L career · no lines in 2022
<1%75%25%
3.41
Oscar Campos
0W–5L career · no lines in 2022
4%94%2%
3.23
3.5
Chuck van Vleet
1W–3L career · no lines in 2022
12%88%<1%
3.15
3.5
Gregory Straub
4W–6L career · no lines in 2022
23%77%<1%
3.10
3.5
James Wambolt
0W–5L career · no lines in 2022
40%60%<1%
3.03

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.