Teams

OC Woodbridge - Sabrina Sun 4pm

2022 OC Tri-Level Mixed · WE 4.5 - 4.0 - 3.5

17 players · average NTRP 4.33 / SO.CALIFORNIA

View scouting list →
Schedule4 played
2022-11-06Won 10
W#2 DoublesStephen Vangelos / Sabrina MacLachlan vs N/A6-0, 6-0
2022-08-28Lost 01
L#2 DoublesSabrina MacLachlan / Jon Wang vs Vijaypriya Ganesan / James Lee2-6, 6-3, 1-0
2022-08-21Lost 01
L#2 DoublesSabrina MacLachlan / Stephen Vangelos vs Hanh Pham / Trisha Rickard4-6, 1-6
2022-08-07vs OC FVTC - JJLWon 10
W#2 DoublesSabrina MacLachlan / Scott Frick vs Levinhduc Nguyen / Mary DeVlugt6-1, 6-1
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 WE 4.5 - 4.0 - 3.5 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 3.93 estimated across 10 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.

Dunya Ahrns
published 5
4.36
Alissa Ahlman
published 4.5
4.28
Daniel Beres
published 4.5
Andre Law
published 4.5
4.18
Demi Dang
published 4.5
4.14
Kim O'Neil
published
4.12
Scott Tiernan
published
3.95
Brian Richardson
published 4.5
3.88
Andrew Hedges
published 4
3.71
Sabrina MacLachlan
usually #2 Doubles 100% · published 4
3.36
Karla Padova
published
3.35
Laura Myers
published
Benjamin Jeng
published 3.5
Jon Wang
published
Nicole Doan
published
Scott Frick
published
Stephen Vangelos
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.

Andrew Hedges + Nicole Doan4155% 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.

5
Dunya Ahrns
0W–1L career · no lines in 2022
not enough data
4.5
Alissa Ahlman
28W–7L career · no lines in 2022
<1%86%14%
4.36
4.5
Daniel Beres
17W–11L career · no lines in 2022
2%94%5%
4.28
4.5
Andre Law
2W–0L career · no lines in 2022
not enough data
4.5
Demi Dang
1W–3L career · no lines in 2022
8%91%1%
4.18
Kim O'Neil
2W–4L career · no lines in 2022
15%85%<1%
4.14
Scott Tiernan
5W–4L career · no lines in 2022
18%82%<1%
4.12
4.5
Brian Richardson
8W–7L career · no lines in 2022
66%34%<1%
3.95
4
Andrew Hedges
12W–3L career · no lines in 2022
<1%83%17%
3.88
4
Sabrina MacLachlan
190W–130L career · 4 lines in 2022
5%93%1%
3.71
Karla Padova
2W–2L career · no lines in 2022
<1%85%14%
3.36
Laura Myers
2W–12L career · no lines in 2022
>99%<1%0%
3.35
3.5
Benjamin Jeng
3W–0L career · no lines in 2022
not enough data
Jon Wang
14W–6L career · no lines in 2022
not enough data
Nicole Doan
6W–6L career · no lines in 2022
not enough data
Scott Frick
2W–1L career · no lines in 2022
not enough data
Stephen Vangelos
0W–4L career · no lines in 2022
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.