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ET-Weinstock

2024 Mixed 18 & Over · 7.0 Mixed

10 players · average NTRP 3.33 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.28 estimated across 7 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.

3.45
Natasha Weinstock
usually #1 Doubles 63%, also #3 Doubles 38% · published 3.5
3.41
Sean McKinnie
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
3.34
Matthew Weinstock
usually #1 Doubles 83%, also #3 Doubles 17% · published 3.5
3.32
Puntrigar Suriyaseang
usually #2 Doubles 60%, also #3 Doubles 20% · published 3.5
—
Phillip Heaston
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.22
Jane Kim
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
3.13
Abhisar Gupta
usually #2 Doubles 100% · published 3
3.12
Vanessa Weber
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
—
Jane Moffat
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
—
Tim Buck
usually #2 Doubles 100% · published 0
Results8 ties
2023-12-02Lost 1–2
L#1 DoublesPuntrigar Suriyaseang / Sean McKinnie vs Michelle Dombek / Zack Hegge6-3, 6-1
L#2 DoublesJane Moffat / Serge Leef vs Tina Prassas / Steve Douglas6-2, 7-6
W#3 DoublesNatasha Weinstock / Matthew Weinstock vs N/A6-0, 6-0
2023-11-18Lost 1–2
W#1 DoublesNatasha Weinstock / Matthew Weinstock vs Jennifer Drew / Peter Kim4-6, 6-1, 1-0
L#2 DoublesPuntrigar Suriyaseang / Sean McKinnie vs Jenell Henson / Kamran Sajadi5-7, 6-4, 1-0
L#3 DoublesVanessa Weber / Steven Townsend vs Christina Hancock / Ian Preddy6-3, 6-3
2023-11-11Lost 0–3
L#1 DoublesNatasha Weinstock / Matthew Weinstock vs Angelina Warriner / Harish Krishnamurthy7-5, 6-7, 1-0
L#2 DoublesJane Kim / Phillip Heaston vs Andrea Vicino / Edmund Yuan6-2, 6-1
L#3 DoublesVanessa Weber / Sean McKinnie vs Diana Blebea / Atif Afzal6-1, 6-4
2023-11-04Lost 0–3
L#1 DoublesNatasha Weinstock / Matthew Weinstock vs Jennifer Tran / Kenny Wong6-7, 6-3, 1-0
L#2 DoublesJocelyn Smith / Tim Buck vs Allison Ko / Tommy Trakoolthai6-2, 1-6, 1-0
L#3 DoublesPuntrigar Suriyaseang / Steven Townsend vs Jie Tan / Huy Pham6-2, 6-3
2023-10-14Lost 0–3
L#1 DoublesNatasha Weinstock / Matthew Weinstock vs Nina Bakos / Chris MacMillan6-2, 4-6, 1-0
L#2 DoublesTim Buck / Puntrigar Suriyaseang vs Jeanna Nicotera / Joseph Gonzales7-6, 4-6, 1-0
L#3 DoublesJane Kim / Steven Townsend vs Colleen Kellogg / Gabor Muskat6-2, 6-2
2023-09-30Lost 0–3
L#1 DoublesPhillip Heaston / Jocelyn Smith vs Lia Irvin / Sebastian Llados Vila6-2, 6-2
L#2 DoublesSean McKinnie / Vanessa Weber vs Rachel Novak / Stefano Cavallucci6-0, 6-2
L#3 DoublesSerge Leef / Jane Kim vs Rose Lee / Keith Anderson5-7, 6-3, 1-0
2023-09-23Lost 0–2
L#1 DoublesJane Kim / Sean McKinnie vs Sarah Robertson / Murray Jansen6-7, 6-3, 1-0
L#2 DoublesJane Moffat / Steven Townsend vs Ann Lasocki / Jamil Panni6-1, 7-6
2023-09-09Lost 0–2
L#1 DoublesNatasha Weinstock / Matthew Weinstock vs Tony Moreno / Alena Lauritsen6-3, 6-3
L#2 DoublesPuntrigar Suriyaseang / Abhisar Gupta vs Jeff Lipke / Toni Eastwood6-2, 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.

3.5
Natasha Weinstock
33W–31L career
0%90%10%
3.45
3.5
Sean McKinnie
54W–52L career
0%95%5%
3.41
3.5
Matthew Weinstock
18W–12L career
1%93%6%
3.34
3.5
Puntrigar Suriyaseang
33W–49L career
0%99%1%
3.32
3.5
Phillip Heaston
0W–5L career
not enough data
—
3.5
Jane Kim
6W–8L career
10%86%4%
3.22
3
Abhisar Gupta
29W–22L career
0%44%56%
3.13
3
Vanessa Weber
56W–35L career
0%47%53%
3.12
3
Jane Moffat
39W–40L career
not enough data
—
0
Tim Buck
5W–7L career
not enough data
—

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.