Teams

SFV - Nikki's Tennis Crew

2023 Mixed Tri-Level 18+ SFV Fall · SFV Tri-Level Mixed 3.0-4.0

16 players · average NTRP 3.75 / 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 →
Schedule3 played
2023-11-04vs SFV LLW - Smash & Dash - Dan LulaLost 01
L#1 DoublesKenji Thielstrom / Nickie Huai vs Josh LeVasseur / Arianne Rudes1-6, 2-6
L#1 DoublesNickie Huai / Gonzalo Suarez vs Didi Sowul / MacLyn McRae1-6, 1-6
2023-10-07vs SFV - Pure DriveWon 10
W#1 DoublesGonzalo Suarez / Nickie Huai vs Paul Brosche / Joann Miles6-3, 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 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 3.15 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.

3.85
Brian Quinlivan
published 4
3.77
Nickie Huai
usually #1 Doubles 100% · published 4
3.28
Paul Ketrick
published
3.26
Kenji Thielstrom
published
2.83
Ross Grant
published
Charles Gemmill
published 3
2.62
Marcia Berman
published
2.59
Jake Kasarjian
published
2.48
George Collins
published
Gonzalo Suarez
published
Jennifer Candipan
published
Leslie Wright
published
Varun Sahai
published
WHITNEY Bliss
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.

Joann Buckley Collins + George Collins0732% 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
Brian Quinlivan
34W–20L career · no lines in 2023
1%85%14%
3.85
4
Nickie Huai
128W–72L career · 3 lines in 2023
3%92%5%
3.77
4
Alessandra Jara del Castillo
34W–20L career · no lines in 2023
8%91%2%
3.70
Paul Ketrick
9W–12L career · no lines in 2023
2%92%6%
3.28
Kenji Thielstrom
1W–9L career · no lines in 2023
96%4%<1%
3.26
Ross Grant
18W–20L career · no lines in 2023
1%87%12%
2.83
3
Charles Gemmill
0W–2L career · no lines in 2023
not enough data
Marcia Berman
8W–16L career · no lines in 2023
19%81%<1%
2.62
Jake Kasarjian
5W–14L career · no lines in 2023
27%73%<1%
2.59
George Collins
0W–16L career · no lines in 2023
55%45%<1%
2.48
Gonzalo Suarez
0W–3L career · no lines in 2023
not enough data
Jennifer Candipan
7W–18L career · no lines in 2023
not enough data
Joann Buckley Collins
5W–13L career · no lines in 2023
not enough data
Leslie Wright
1W–3L career · no lines in 2023
not enough data
Varun Sahai
3W–1L career · no lines in 2023
not enough data
WHITNEY Bliss
3W–2L 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.