Teams

Vanlasco

2023 One Doubles · 4.0 Women

2 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.75 estimated across 2 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.

3.75
Jin Velasco
usually #1 Doubles 100% · published 4
3.75
Angie Stromquist
usually #1 Doubles 100% · published 4
Results7 ties
2023-08-02Lost 01
L#1 DoublesSara van Beckum / Angie Stromquist vs Inna Vlad / Karina Frid6-3, 6-1
2023-07-21Won 10
W#1 DoublesSara van Beckum / Jin Velasco vs Colleen Nolan / Erin Casey6-4, 7-5
2023-07-16Won 10
W#1 DoublesJin Velasco / Sara van Beckum vs Holly Kanz / Carrie Putsch6-2, 7-6
2023-07-05Lost 01
L#1 DoublesSara van Beckum / Jin Velasco vs Morgan Sugar-BUtter / Cate Harrington6-7, 6-4, 1-0
2023-06-24Won 10
W#1 DoublesSara van Beckum / Jin Velasco vs Leah Buxman / Christy Strange6-1, 6-1
2023-06-21Won 10
W#1 DoublesSara van Beckum / Jin Velasco vs Heike Droste / Karen McNairy6-3, 6-1
2023-06-16Won 10
W#1 DoublesJin Velasco / Sara van Beckum vs Erin Hill / Tami McAra6-1, 7-6
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.
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.

4
Jin Velasco
69W–35L career
6%91%4%
3.75
4
Angie Stromquist
92W–47L career
1%98%0%
3.75

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.