Teams

V - Ojai Mixed Pixies

2023 SoCal Mixed Tri-Level 18 &Over · Ventura - Mixed 4.5

12 players · average NTRP 3.85 / 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 →
Schedule4 played
L#2 DoublesAnnie Schwartz / Craig Fugle vs Daisy Carlson / Erik Houser2-6, 6-3, 0-1
2023-10-07vs V - Spanish Hills ConquestsWon 20
W#1 DoublesJoy Henning / Douglas Henning vs Chris Mattock / Kathryn Fiscalini6-2, 6-3
W#2 DoublesAnnie Schwartz / Craig Fugle vs Scott Friedman / Pam Nesseth6-2, 6-7, 1-0
2023-10-01vs V - Sunset MixersLost 01
L#2 DoublesJoy Henning / Craig Fugle vs Jeff Meinhart / Deanna Romero6-4, 3-6, 0-1
W#2 DoublesDouglas Donald / Joy Henning vs Courtney Andrews / Erik Houser7-6, 5-7, 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 Ventura - Mixed 4.5 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 3.62 estimated across 9 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.

4.30
Douglas Henning
published 4.5
3.85
Jennifer Soller
published 4
3.77
Joy Henning
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
Greg Doss
published 4
3.70
Douglas Donald
published 4
3.57
Tahnie Toland
published
3.56
Danny Everett
published 3.5
3.43
Annie Schwartz
usually #2 Doubles 100% · published 4
Howard Radding
published 3.5
3.25
Anahat Dhillon
published 3.5
3.12
Anne Williamson
published 3.5
Michael Toland
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.

Joy Henning + Douglas Henning0522% games−27.8% vs expected
Tahnie Toland + Michael Toland033 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.

4.5
Douglas Henning
6W–8L career · type M · no lines in 2023
1%93%6%
4.30
4
Jennifer Soller
108W–67L career · no lines in 2023
<1%88%12%
3.85
4
Joy Henning
166W–102L career · 3 lines in 2023
2%94%4%
3.77
4
Greg Doss
0W–1L career · no lines in 2023
not enough data
4
Douglas Donald
6W–12L career · no lines in 2023
7%92%1%
3.70
Tahnie Toland
18W–24L career · no lines in 2023
<1%28%72%
3.57
3.5
Danny Everett
7W–13L career · no lines in 2023
<1%32%68%
3.56
4
Annie Schwartz
144W–179L career · 2 lines in 2023
72%28%<1%
3.43
3.5
Howard Radding
1W–3L career · no lines in 2023
not enough data
3.5
Anahat Dhillon
20W–10L career · no lines in 2023
3%95%3%
3.25
3.5
Anne Williamson
3W–3L career · no lines in 2023
18%81%<1%
3.12
Michael Toland
1W–3L career · no lines in 2023
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.