Teams

PT&E/SJRC-Haas

2024 Adult 18 & Over · 3.5 Women

8 players · average NTRP 3.56 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.33 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.

3.90
Quinn Hunt
usually #1 Singles 89%, also #1 Doubles 11% · published 4
3.52
Roksolana Shyyka
usually #1 Singles 60%, also #2 Singles 40% · published 3.5
3.36
Stephanie Haas
usually #1 Doubles 100% · published 3.5
3.27
Celene Robert
usually #2 Doubles 80%, also #1 Doubles 20% · published 3.5
Anna Koepke
usually #2 Doubles 75%, also #1 Doubles 25% · published 3.5
3.11
Jordan Brown
usually #1 Doubles 100% · published 3.5
3.09
Candy Dann
usually #2 Doubles 100% · published 3.5
3.08
Ericka Nelson
usually #3 Doubles 100% · published 3.5
Results8 ties
2024-03-30Won 21
W#1 DoublesJordan Brown / Stephanie Haas vs Kathy Ramsey / Nozomi Bray1-6, 6-0, 1-0
W#1 SinglesQuinn Hunt vs Hannah Roman6-2, 6-1
L#2 DoublesCelene Robert / Leigh-Anna Jones vs Michele Snyder / Linda Degnan6-4, 6-3
2024-03-09Won 21
W#1 DoublesJordan Brown / Stephanie Haas vs America Hopson / Melissa Gibson6-4, 6-4
W#1 SinglesQuinn Hunt vs May Graham6-1, 6-3
L#2 DoublesAnna Koepke / Nina Nguyen vs Amy Cooney / Dory Simons6-3, 6-3
2024-02-25Won 30
W#1 DoublesHayley Cottrell / Anna Koepke vs Nancy Osborne / Amy Patton7-5, 7-5
W#1 SinglesQuinn Hunt vs Kendra Rothert7-5, 6-3
W#2 SinglesRoksolana Shyyka vs Josette Zervic6-1, 6-2
2024-02-17Lost 12
W#1 DoublesQuinn Hunt / Stephanie Haas vs Penny Langhammer / Reiko Maeda6-2, 7-5
L#1 SinglesRoksolana Shyyka vs Nina Bakos6-1, 6-4
L#2 DoublesAnna Koepke / Nina Nguyen vs Garrene Mcgale / Sarah Mutal6-2, 7-6
2024-02-10Lost 13
L#1 DoublesMorganne Hatfield / Celene Robert vs Shelby Hill / Reiko Maeda6-1, 6-0
W#1 SinglesQuinn Hunt vs Kim Boston6-0, 6-0
L#2 DoublesCandy Dann / Anna Koepke vs Parish Burns / Amy Ouellette6-1, 6-1
L#3 DoublesEricka Nelson / Leigh-Anna Jones vs Garrene Mcgale / Angie Gordon6-0, 6-0
2024-02-03Lost 12
L#1 DoublesMorganne Hatfield / Stephanie Haas vs Kealani Mead-Forton / Wendi Ouellette6-3, 6-2
L#2 DoublesLeigh-Anna Jones / Celene Robert vs Megan McCarter / Mary McCarter1-6, 7-6, 1-0
W#2 SinglesRoksolana Shyyka vs N/A6-0, 6-0
2024-01-28Won 31
W#1 DoublesJordan Brown / Stephanie Haas vs Kristi Tompkins / Pamela Hughes6-3, 7-5
W#1 SinglesRoksolana Shyyka vs Haihua Su6-1, 6-0
L#2 DoublesCelene Robert / Morganne Hatfield vs Nancy Osborne / Amy Patton6-4, 7-6
W#3 DoublesEricka Nelson / Michelle Robbins vs Kendra Rothert / Susan Browning1-6, 6-4, 1-0
2024-01-21Won 21
W#1 DoublesJordan Brown / Stephanie Haas vs Rozita Walsh / Monica Christensen6-2, 6-1
W#1 SinglesRoksolana Shyyka vs Megan Mandel7-5, 6-2
L#2 DoublesCelene Robert / Morganne Hatfield vs Sheena Raffaele / Alexandra MacDonald6-4, 6-4
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
Quinn Hunt
37W–16L career
0%95%5%
3.90
3.5
Roksolana Shyyka
34W–21L career
0%75%25%
3.52
3.5
Stephanie Haas
66W–82L career
0%98%2%
3.36
3.5
Celene Robert
26W–55L career
1%99%0%
3.27
3.5
Anna Koepke
15W–23L career
not enough data
3.5
Jordan Brown
22W–37L career
11%89%0%
3.11
3.5
Candy Dann
6W–14L career
23%76%0%
3.09
3.5
Ericka Nelson
43W–59L career
17%83%0%
3.08

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.