Teams

OC Summer Sisters

2025 Tri-One Doubles League · 3.0 Women

6 players · average NTRP 3.00 / OAHU

View scouting list →
Schedule9 played
2025-08-16vs MIALost 01
L#1 DoublesLianne Poppinga / Keiko Kratky vs Staci Ah Quin / June Yamamura1-6, 7-5, 0-1
2025-08-09vs 3.0 No Crumbs CrewLost 01
L#1 DoublesRumiko Wong / Tanya Hellum vs Sara Gruvin / Shannon Afarin0-6, 0-6
2025-08-02vs Alley CatsWon 10
W#1 DoublesTanya Hellum / Rumiko Wong vs Elisabeth Smith / Lili Shintani6-0, 6-3
2025-07-26vs MIAWon 10
W#1 DoublesRumiko Wong / Tanya Hellum vs Debby Shin / Staci Ah Quin6-1, 6-4
2025-07-19vs 3.0 No Crumbs CrewLost 01
L#1 DoublesLianne Poppinga / Keiko Kratky vs Nayda Mannle / Meredith Grimmer1-6, 4-6
2025-07-13vs Alley CatsWon 10
W#1 DoublesEstella Berg / Elsie Crowninshield vs Allison Gough / Lili Shintani0-6, 6-1, 1-0
2025-07-06vs MIAWon 10
W#1 DoublesLianne Poppinga / Elsie Crowninshield vs Shana Suzuki / Terri Mei6-4, 6-2
2025-06-29vs 3.0 No Crumbs CrewLost 01
L#1 DoublesEstella Berg / Elsie Crowninshield vs Sara Gruvin / Shannon Afarin5-7, 2-6
2025-06-22vs Alley CatsWon 10
W#1 DoublesKeiko Kratky / Estella Berg vs Elisabeth Smith / Lili Shintani6-4, 6-0
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 standings4 teams · 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
13.0 No Crumbs Crew7272452
2OC Summer Sisters5454974
3MIA45451283
4Alley Cats27271590

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 2.88 estimated across 5 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.

3.03
Tanya Hellum
usually #1 Doubles 100% · published
3.00
Estella Berg
usually #1 Doubles 100% · published 3
2.90
Rumiko Wong
usually #1 Doubles 100% · published 3
2.78
Keiko Kratky
usually #1 Doubles 100% · published 3
2.71
Lianne Poppinga
usually #1 Doubles 100% · published 3
Elsie Crowninshield
usually #1 Doubles 100% · 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.

Tanya Hellum + Rumiko Wong4254% games+4.9% vs expected
Estella Berg + Lianne Poppinga3347% games+0.9% vs expected
Elsie Crowninshield + Estella Berg1537% games−0.1% vs expected
Lianne Poppinga + Keiko Kratky3641% games−4.4% vs expected
Elsie Crowninshield + Rumiko Wong4256% gamesnot enough data
Estella Berg + Rumiko Wong123 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.

Tanya Hellum
16W–28L career · 3 lines in 2025
41%59%<1%
3.03
3
Estella Berg
32W–45L career · 3 lines in 2025
<1%50%50%
3.00
3
Rumiko Wong
65W–74L career · 3 lines in 2025
<1%76%24%
2.90
3
Keiko Kratky
14W–14L career · 3 lines in 2025
2%92%6%
2.78
3
Lianne Poppinga
20W–36L career · 3 lines in 2025
7%91%2%
2.71
Elsie Crowninshield
31W–48L career · 4 lines in 2025
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.