Teams

SFV-Triple Trouble

SFV-Tri-Level Mixed-18 & Over · SFV - Mixed 3.0-4.0

11 players · average NTRP 3.70 / SO.CALIFORNIA

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Schedule7 played
2021-12-18vs SFV-Porter CrushersLost 12
L#1 DoublesDavid Lubnow / Kerry Nakamura Wilson vs Chad Fenwick / Maureen Shideh2-6, 4-6
L#2 DoublesNaveed Irfani / Larissa Kazantsev vs Michele Venegas / Christopher Camp1-6, 2-6
W#3 DoublesDan Lula / Sylvia Yaafe vs Maarit Fenwick / Marc Weiss6-1, 6-0
W#3 DoublesDan Lula / Teri Gustafson vs Eric Thies / Tasha Gailys6-3, 6-2
L#1 DoublesDavid Lubnow / Kerry Nakamura Wilson vs Darren Chu / Sharon Aguila5-7, 3-6
L#2 DoublesGegam Petrosyan / Larissa Kazantsev vs Rod Shimamoto / Mikaela Nagler1-6, 4-6
2021-11-06vs SFV-Pure DriveWon 10
W#3 DoublesSummer Williamson / Dan Lula vs Jacque Clendennen / Jeff Rector6-2, 6-3
2021-10-30vs SFV-Paseo Crazy AcesWon 10
W#3 DoublesTeri Gustafson / Dan Lula vs Debora Townson / Mel Matibag6-2, 6-0
2021-10-24vs SFV-Porter CrushersLost 01
L#1 DoublesDavid Lubnow / Kerry Nakamura Wilson vs Deborah Ferris / Dhruv Sareen4-6, 4-6
2021-10-02vs SFV-Nikki's Tennis CrewWon 10
W#3 DoublesSylvia Yaafe / Dan Lula vs George Collins / Joann Buckley Collins6-0, 6-0
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 - 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 3.28 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.

3.83
Summer Williamson
published
3.72
Teri Gustafson
published 4
3.40
David Lubnow
usually #1 Doubles 100% · published 4
Holly Culhane
published 3.5
3.22
Tony Lujan
published
3.21
Dan Lula
usually #3 Doubles 100% · published 3.5
3.10
Keiko Kato Verrier
published
2.97
Andrea Jayasekera
published 3.5
2.83
Larissa Kazantsev
usually #2 Doubles 100% · published
Kevin Finkelberg
published
Richard Verrier
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.

Keiko Kato Verrier + Dan Lula213 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.

Summer Williamson
49W–27L career · no lines in 2021
1%90%10%
3.83
4
Teri Gustafson
84W–67L career · no lines in 2021
5%94%2%
3.72
4
David Lubnow
73W–69L career · 3 lines in 2021
78%22%<1%
3.40
3.5
Holly Culhane
1W–0L career · no lines in 2021
not enough data
Tony Lujan
15W–8L career · no lines in 2021
5%94%2%
3.22
3.5
Dan Lula
138W–81L career · 5 lines in 2021
5%93%1%
3.21
Keiko Kato Verrier
5W–6L career · no lines in 2021
23%77%<1%
3.10
3.5
Andrea Jayasekera
2W–5L career · no lines in 2021
59%41%<1%
2.97
Larissa Kazantsev
74W–65L career · 2 lines in 2021
1%90%9%
2.83
Kevin Finkelberg
0W–2L career · no lines in 2021
not enough data
Richard Verrier
0W–5L career · no lines in 2021
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.