Teams

OAKHURST CC 18MX8.0A

2023 MIXED 18&Over · 18&Over MX8.0

17 players · average NTRP 3.86 / NO. 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
2023-03-03Won 10
W#1 DoublesJeff Wong / Hong Nguyen vs Aaron Lee / Aileen Deluna6-2, 6-2
2023-01-28vs WALNUT COUNTRY HOA 18MX8.0AWon 10
W#1 DoublesJeff Wong / Hong Nguyen vs Laura Derian / Frank Xia6-2, 6-2
2023-01-20vs ROUND HILL CC 18MX8.0AWon 10
W#1 DoublesJeff Wong / Hong Nguyen vs Eric Farnholtz / Anne Poirier6-4, 3-6, 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 18&Over MX8.0 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 3.81 estimated across 11 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.

4.37
Benjamin Feinberg
published 4.5
4.30
Jeff Wong
published
Cameron Larner
published 4.5
4.03
Martha Matrisian
published
4.03
Ana Larner
published 4
3.94
Parag Bhatt
published
3.83
Yana Bazulina
published
3.69
Jennifer Grant
published
3.58
Tami Lightle
published
3.49
Diana Babayan
published 3.5
3.35
Christopher Cast
published 3.5
3.29
David Pintado
published 3.5
Hong Nguyen
usually #1 Doubles 100% · published 3.5
Kimiko Kearney
published
Matthew Matrisian
published
Miwa Feinberg
published
Sally Krapf
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.

Miwa Feinberg + Benjamin Feinberg404 matchesnot enough data
Kimiko Kearney + Jeff Wong213 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
Benjamin Feinberg
14W–3L career · no lines in 2023
<1%82%17%
4.37
Jeff Wong
18W–2L career · no lines in 2023
2%91%7%
4.30
4.5
Cameron Larner
2W–3L career · no lines in 2023
not enough data
Martha Matrisian
22W–13L career · no lines in 2023
41%59%<1%
4.03
4
Ana Larner
42W–25L career · no lines in 2023
<1%42%58%
4.03
Parag Bhatt
4W–5L career · no lines in 2023
<1%67%33%
3.94
Yana Bazulina
6W–21L career · no lines in 2023
88%12%<1%
3.83
Jennifer Grant
14W–13L career · no lines in 2023
8%90%1%
3.69
Tami Lightle
8W–6L career · no lines in 2023
28%72%<1%
3.58
3.5
Diana Babayan
27W–22L career · no lines in 2023
<1%53%47%
3.49
3.5
Christopher Cast
15W–10L career · no lines in 2023
1%86%14%
3.35
3.5
David Pintado
5W–5L career · no lines in 2023
2%91%7%
3.29
3.5
Hong Nguyen
39W–17L career · 3 lines in 2023
not enough data
Kimiko Kearney
7W–1L career · no lines in 2023
not enough data
Matthew Matrisian
0W–1L career · no lines in 2023
not enough data
Miwa Feinberg
6W–2L career · no lines in 2023
not enough data
Sally Krapf
1W–1L 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.