Teams

Team Julie

2025 Adult 18 & Over · 3.0 Women

6 players · average NTRP 2.92 / ALASKA

View scouting list →
Schedule4 played
2025-05-18vs Team ChristieWon 21
W#1 DoublesPenny Rohacek / Julie Raymond-Yakoubian vs Christie Wyzykowski / Lesleigh Kowalski Frank6-4, 6-0
W#1 SinglesVictoria Yu vs Julie Morris6-0, 6-1
L#2 DoublesKai Sims / Blair Robinson vs Cecilia Hopper / Eleanor Morse4-6, 6-1, 0-1
2025-05-18vs Team MarleneWon 21
W#1 DoublesKai Sims / Victoria Yu vs Michelle Dietz / Aliki Joannides6-1, 6-1
W#1 SinglesJulie Raymond-Yakoubian vs Marlene Dodge6-4, 6-4
L#2 DoublesBlair Robinson / Penny Rohacek vs Susan Brunner / Kathy McArthur0-6, 2-6
2025-05-17vs Team ChristieWon 30
W#1 DoublesSong Bliss / Julie Raymond-Yakoubian vs Cecilia Hopper / Lesleigh Kowalski Frank6-0, 6-1
W#1 SinglesPenny Rohacek vs Christie Wyzykowski6-0, 6-1
W#2 DoublesKai Sims / Victoria Yu vs Julie Morris / Eleanor Morse6-1, 6-1
2025-05-17vs Team MarleneWon 30
W#1 DoublesSong Bliss / Penny Rohacek vs Aliki Joannides / Kathy McArthur6-3, 6-2
W#1 SinglesJulie Raymond-Yakoubian vs Michelle Dietz7-6, 6-4
W#2 DoublesKai Sims / Victoria Yu vs Susan Brunner / Marlene Dodge7-6, 7-5
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 standings2 teams · 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Team Julie40102465
2Team Marlene134816106

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 2.70 estimated across 6 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.

2.85
Julie Raymond-Yakoubian
usually #1 Doubles 50%, also #1 Singles 50% · published 3
2.83
Kai Sims
usually #2 Doubles 75%, also #1 Doubles 25% · published 3
2.74
Song Bliss
usually #1 Doubles 100% · published 3
2.67
Penny Rohacek
usually #1 Doubles 50%, also #1 Singles 25% · published 3
2.61
Victoria Yu
usually #2 Doubles 50%, also #1 Singles 25% · published 3
2.47
Blair Robinson
usually #2 Doubles 100% · published 2.5
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.

Victoria Yu + Kai Sims404 matchesnot enough data
Julie Raymond-Yakoubian + Song Bliss213 matchesnot enough data
Blair Robinson + Kai Sims123 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.

3
Julie Raymond-Yakoubian
45W–57L career · 4 lines in 2025
<1%86%13%
2.85
3
Kai Sims
13W–13L career · 4 lines in 2025
1%90%9%
2.83
3
Song Bliss
63W–86L career · 2 lines in 2025
3%94%2%
2.74
3
Penny Rohacek
49W–47L career · 4 lines in 2025
9%90%1%
2.67
3
Victoria Yu
37W–26L career · type A · 4 lines in 2025
20%80%<1%
2.61
2.5
Blair Robinson
16W–14L career · 2 lines in 2025
0%59%41%
2.47

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.