Teams

Fehrenbach/Sipe

2023 One Doubles - Summer · 3.0 Women

5 players · average NTRP 3.25 / SOUTHWEST WASHINGTON

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Schedule7 played
2023-08-09vs Nemetz-Love HurtsLost 01
L#1 DoublesLacy Fehrenbach / Mi Ae Kim vs Noel Abrams / Morgann Crook0-6, 3-6
2023-08-06vs Keogh-Forty Love & MoneyWon 10
W#1 DoublesMi Ae Kim / Aija Seay vs Brynn Brady / Shanan Hedges6-4, 6-2
2023-08-04vs SWW-ButtorffLost 01
L#1 DoublesLacy Fehrenbach / Mi Ae Kim vs Susanna Buttorff / Sarah McCarthy0-6, 6-4, 0-1
2023-07-23vs Nguyen/Gano-Ballieve ItWon 10
W#1 DoublesLacy Fehrenbach / Christina Sipe vs Adora Nwankwo / Tina Mapili7-5, 7-6
2023-07-20vs Cook Let it Go!Won 10
W#1 DoublesAija Seay / Nattarudee Palalikit vs Karen Cook / Lori Neeley3-6, 6-4, 1-0
2023-07-15vs Smith - Summer "Love"Won 10
W#1 DoublesNattarudee Palalikit / Christina Sipe vs Jennifer Stockstad / Gretchen Leanderson6-3, 6-4
2023-07-10vs Memmott - KaPOW!Won 10
W#1 DoublesAija Seay / Christina Sipe vs Lauren Memmott / Michele Capestany6-3, 6-2
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 standings8 teams · 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Memmott - KaPOW!6161352
2Fehrenbach/Sipe5252562
3SWW-Buttorff5252757
4Cook Let it Go!4343757
5Nguyen/Gano-Ballieve It3434860
6Keogh-Forty Love & Money3434972
7Nemetz-Love Hurts25251068
8Smith - Summer "Love"07071482

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 3.01 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.

3.28
Christina Sipe
usually #1 Doubles 100% · published 3.5
3.20
Nattarudee Palalikit
usually #1 Doubles 100% · published 3.5
2.91
Lacy Fehrenbach
usually #1 Doubles 100% · published 3
2.90
Mi Ae Kim
usually #1 Doubles 100% · published
2.77
Aija Seay
usually #1 Doubles 100% · published 3
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.

Lacy Fehrenbach + Christina Sipe8359% games+7.3% vs expected
Lacy Fehrenbach + Mi Ae Kim3253% games+5.8% vs expected
Aija Seay + Mi Ae Kim11360% games+4.2% vs expected
Nattarudee Palalikit + Christina Sipe7645% games−3.2% vs expected
Lacy Fehrenbach + Nattarudee Palalikit213 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.

3.5
Christina Sipe
85W–79L career · type A · 3 lines in 2023
1%94%5%
3.28
3.5
Nattarudee Palalikit
58W–37L career · 2 lines in 2023
7%92%1%
3.20
3
Lacy Fehrenbach
90W–63L career · 3 lines in 2023
<1%75%25%
2.91
Mi Ae Kim
70W–67L career · 3 lines in 2023
<1%78%22%
2.90
3
Aija Seay
38W–29L career · 3 lines in 2023
2%94%4%
2.77

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.