Teams

Service with a Smile

2022 One Doubles · 4.5 Women

5 players · average NTRP 4.40 / NORTHWEST WASHINGTON

View scouting list →
Schedule5 played
2022-07-31vs NPYCWon 10
W#1 DoublesAnya Dalkin / Kelly Lesoing vs Kate Wang / Liza Skorupski6-4, 6-1
2022-07-30vs VanChaneyWon 10
W#1 DoublesAnya Dalkin / MacKenzie Wilkins vs Sun Chaney / Jackie Vandenberg6-1, 6-1
2022-07-24vs Sunny D’sLost 01
L#1 DoublesKelly Lesoing / MacKenzie Wilkins vs Annelise Anderson / Alexandra Lucas3-6, 1-6
2022-07-22vs Game, Set, Lunch!Lost 01
L#1 DoublesSarah Newman / MacKenzie Wilkins vs Heather Morrow / Margaret Zheng4-6, 4-6
2022-07-16vs CP-McMorrowLost 01
L#1 DoublesKelly Lesoing / Sarah Newman vs Katie McRoberts / Pia Westen4-6, 5-7
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 standings24 teams · 4.5 Women
TeamWLInd. WInd. LSets lostGames lost
1SBV5050020
2CP-McMorrow5050036
3L’Wheat5151231
4Hot Gworl Summer5151334
5Musubi Gurlz5151350
6Sunny D’s3232428
7Game, Set, Lunch!3232545
8Team Wright (Daytime Only)3232646
9Team Ziggy3333759
10Czeisler Dunkin3333864
11Pro Central Lake2323642
12Service with a Smile2323644
13WON DUBS!2323750
14Stoakley2323752
15Rentschler2424855
16Sets in the City2424963
17Everlasting lob-stoppers2424961
18Romeu Dubs2424963
19Colee 4.5 One Doubles1414855
20NPYC1414856
21VanChaney1414960
22VanderSmith15151068
23McKenny15151172
2410is Chicks06061268

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 4.16 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.

4.37
MacKenzie Wilkins
usually #1 Doubles 100% · published 4.5
4.33
Sarah Newman
usually #1 Doubles 100% · published 4.5
4.23
Anya Dalkin
usually #1 Doubles 100% · published 4.5
4.10
Kelly Lesoing
usually #1 Doubles 100% · published 4.5
3.79
Crystal Vo
published 4
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.

Anya Dalkin + Kelly Lesoing12459% games+1.7% vs expected
MacKenzie Wilkins + Kelly Lesoing12554% games+1.1% vs expected
Crystal Vo + Kelly Lesoing2349% games−5.3% vs expected
Sarah Newman + MacKenzie Wilkins224 matchesnot enough data
Anya Dalkin + Sarah Newman303 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.

4.5
MacKenzie Wilkins
71W–21L career · 3 lines in 2022
<1%84%16%
4.37
4.5
Sarah Newman
64W–49L career · 2 lines in 2022
1%90%10%
4.33
4.5
Anya Dalkin
53W–22L career · 2 lines in 2022
4%94%2%
4.23
4.5
Kelly Lesoing
70W–52L career · 3 lines in 2022
22%78%<1%
4.10
4
Crystal Vo
27W–47L career · no lines in 2022
1%94%5%
3.79

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.