Teams

SFV LLW - Unmatchables - Jason Gorman

2022 Mixed 18 & Over - SFV · SFV 18 & Over - 9.0 MxD

9 players · average NTRP 4.75 / 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
2022-03-19vs SFV - BenchwarmersWon 10
W#1 DoublesNicholas de Goede / Leticia Alcala vs Carlos Mosquera / Felicity Flesher7-5, 6-3
2022-02-19vs SFV - BenchwarmersWon 10
W#2 DoublesWilliam Knox / Leticia Alcala vs Robert Birmingham / Alexandra Pichugina6-2, 6-1
2022-02-12vs SFV - Team LobertsonWon 10
W#1 DoublesNicholas de Goede / Leticia Alcala vs Reagan McClymonds / Lauren DiFazio6-3, 6-3
2022-01-29vs SFV - Team LobertsonWon 10
W#3 DoublesNicholas de Goede / Cze-Ja Tam vs Reagan McClymonds / Blair Brzeski6-0, 5-7, 1-0
2022-01-23vs SFV - BenchwarmersWon 10
W#1 DoublesNicholas de Goede / Mandi Collier vs Carlos Mosquera / Heidi Schuler4-6, 7-6, 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 18 & Over - 9.0 MxD 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 4.36 estimated across 8 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.

4.70
Mandi Collier
published 5
4.62
Leticia Alcala
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.55
Eugene Tran
published 5
4.28
Jason Gorman
published
4.22
Cze-Ja Tam
published 4.5
4.20
Michael Marley
published
4.17
Nicholas de Goede
usually #1 Doubles 75%, also #3 Doubles 25% · published 4.5
4.15
Bill Willis
published 4.5
Tricia Stanley
published
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.

5
Mandi Collier
188W–89L career · no lines in 2022
6%93%1%
4.70
5
Leticia Alcala
160W–102L career · 3 lines in 2022
19%81%<1%
4.62
5
Eugene Tran
5W–9L career · no lines in 2022
35%65%<1%
4.55
Jason Gorman
3W–3L career · no lines in 2022
2%94%4%
4.28
4.5
Cze-Ja Tam
1W–3L career · type S · no lines in 2022
4%94%2%
4.22
Michael Marley
11W–12L career · no lines in 2022
6%93%1%
4.20
4.5
Nicholas de Goede
81W–47L career · 4 lines in 2022
9%90%1%
4.17
4.5
Bill Willis
1W–2L career · no lines in 2022
12%88%<1%
4.15
Tricia Stanley
1W–1L career · no lines in 2022
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.