Teams

SFV LLW - GFT Tricolore - Jing Lin

2023 Mixed Tri-Level 18+ SFV Fall · SFV Tri-Level Mixed 3.5-4.5

16 players · average NTRP 4.21 / 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
2023-11-19vs SFV - Deuce BustersWon 10
W#3 DoublesStephen Kim / Serena Tseng vs Aldo Angrisani / Yvette Camacho6-1, 6-1
2023-10-28vs SFV - Deuce BustersWon 10
W#3 DoublesSerena Tseng / Stephen Kim vs Annik Bogharian / Aldo Angrisani6-2, 6-3
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 3.5-4.5 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 3.84 estimated across 13 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.

4.39
Chandler Nguyen
published 4.5
Andre Law
published 4.5
4.22
Felicity Flesher
published
4.05
Stephen Nettelhorst
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
4.05
Martin Chi
published
4.03
Ashish Bangar
published 4.5
3.96
Jing Lin
published
3.94
3.89
Jason Nam
published
3.72
Michael Porter
published
3.70
3.57
Serena Tseng
usually #3 Doubles 100% · published 4
3.46
Stephen Kim
published
2.91
Tanya Robinson
published
Eugene Shin
published
Katrina Ho
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.

4.5
Chandler Nguyen
18W–7L career · no lines in 2023
<1%78%21%
4.39
4.5
Andre Law
2W–0L career · no lines in 2023
not enough data
Felicity Flesher
4W–4L career · no lines in 2023
6%92%2%
4.22
4
Stephen Nettelhorst
146W–42L career · 4 lines in 2023
<1%35%65%
4.05
Martin Chi
19W–13L career · no lines in 2023
<1%36%64%
4.05
4.5
Ashish Bangar
4W–5L career · no lines in 2023
42%58%<1%
4.03
Jing Lin
6W–4L career · no lines in 2023
<1%62%38%
3.96
4
Dastan Mazhetayev
14W–9L career · no lines in 2023
<1%67%33%
3.94
Jason Nam
23W–14L career · no lines in 2023
<1%<1%>99%
3.89
Michael Porter
10W–9L career · no lines in 2023
6%92%2%
3.72
4
Alexandra Pichugina
5W–8L career · no lines in 2023
8%90%1%
3.70
4
Serena Tseng
54W–35L career · 2 lines in 2023
32%68%<1%
3.57
Stephen Kim
11W–18L career · no lines in 2023
<1%<1%>99%
3.46
Tanya Robinson
8W–14L career · no lines in 2023
0%<1%>99%
2.91
Eugene Shin
4W–4L career · no lines in 2023
not enough data
Katrina Ho
0W–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.