Teams

SFV - Paseo Ranchers

2022 Mixed Tri-Level 18+ SFV · SFV Tri-Level Mixed 3.0-4.0

18 players · average NTRP 3.44 / 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 →
Schedule2 played
2022-10-22vs SFV - Love HandlesWon 10
W#2 DoublesEDGAR DARDEN / Terri Admiraal vs Terry Wingo / Sylvia Yaafe4-6, 6-4, 1-0
2022-10-02vs SFV - Pure DriveLost 01
L#2 DoublesJacobus Admiraal / Terri Admiraal vs Frank Abt / Cecilia Greenway6-3, 1-6, 0-1
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 Tri-Level Mixed 3.0-4.0 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 3.10 estimated across 10 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.

3.56
Gil Garteiz
published 3.5
3.54
Terri Admiraal
usually #2 Doubles 100% · published 3.5
3.44
Jacobus Admiraal
published 3.5
3.26
TANIA JANICEK
published 3.5
Elizabeth McClain
published 3.5
3.16
Mel Matibag
published 3.5
3.08
Melanie Delgado
published
2.93
Juan Tabanera
published
2.82
Julie Whitmer
published
2.63
Penny Oxciano
published
2.54
Cherie Lakin
published 3
Jaron McDonnel
published
Jeffrey Pollard
published
Julianne Wood
published
Less McClain
published
Rhea Smith
published
Roger Santiago
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.

TANIA JANICEK + Mel Matibag134 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.

3.5
Gil Garteiz
15W–16L career · no lines in 2022
<1%31%69%
3.56
3.5
Terri Admiraal
122W–87L career · 2 lines in 2022
<1%39%61%
3.54
3.5
Jacobus Admiraal
5W–4L career · no lines in 2022
<1%69%31%
3.44
3.5
TANIA JANICEK
102W–89L career · no lines in 2022
2%94%3%
3.26
3.5
Daniel Peterson-Beliakoff
0W–2L career · no lines in 2022
not enough data
3.5
Elizabeth McClain
0W–2L career · type A · no lines in 2022
not enough data
3.5
Mel Matibag
46W–57L career · no lines in 2022
10%89%<1%
3.16
Melanie Delgado
18W–23L career · no lines in 2022
<1%28%72%
3.08
Juan Tabanera
2W–3L career · no lines in 2022
<1%71%29%
2.93
Julie Whitmer
13W–9L career · no lines in 2022
1%91%9%
2.82
Penny Oxciano
8W–19L career · no lines in 2022
16%84%<1%
2.63
3
Cherie Lakin
2W–8L career · no lines in 2022
38%62%<1%
2.54
Jaron McDonnel
1W–0L career · no lines in 2022
not enough data
Jeffrey Pollard
5W–8L career · no lines in 2022
not enough data
Julianne Wood
2W–5L career · no lines in 2022
not enough data
Less McClain
0W–3L career · no lines in 2022
not enough data
Rhea Smith
1W–0L career · no lines in 2022
not enough data
Roger Santiago
7W–9L 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.