Teams

STS Smash Squad-Schultink

Coed Social League · 6.0 Eastside

7 players · average NTRP 3.00 / NORTHWEST WASHINGTON

View scouting list →
Schedule5 played
2025-08-19vs Hits and Giggles-NguyenLost 12
L#1 Female SinglesCarolina DeHaan vs Sabrina Lu5-6
L#1 Male SinglesErik Schultink vs Phillip Pham1-6
W#1 Mixed DoublesErik Schultink / Laura Schultink vs Deun Lay / Anh Nguyen6-1
2025-08-12vs Huckleberry-LiuSplit 11
W#1 Female DoublesLaura Schultink / Keshia Peters vs YUN LIU / Helen MY6-5
L#1 Male DoublesErik Schultink / Hao Tan vs Zhe Zhang / Frank Liu2-6
2025-08-05vs Lucky Shots-LiLost 02
L#1 Female DoublesLaura Schultink / Becky Davidson vs Hongjuan Zhang / Irina Salvan2-6
L#1 Male DoublesJameson Agraz / Erik Schultink vs Han Zhao / WENSI LI2-6
2025-07-29vs FarokhzadLost 02
L#1 Female DoublesLaura Schultink / Becky Davidson vs Lindsey Nelson / Ellie Hoffman4-6
L#1 Male SinglesErik Schultink vs Nicholas Zura4-6
2025-07-22vs Court seekersLost 01
L#1 Female DoublesLaura Schultink / Sarah Groom vs Salome Koloffon Tella / Lana Dunsmore1-6
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 · 6.0 Eastside
TeamWLInd. WInd. LSets lostGames lost
1Zeng06297796
2Lucky Shots-Li06241212133
3Court seekers06231313130
4Farokhzad06231313131
5Hits and Giggles-Nguyen06211515161
6Han06112525176
7Huckleberry-Liu0672929184
8STS Smash Squad-Schultink0663030190

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 2.58 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.

3.11
Carolina DeHaan
usually #1 Female Singles 100% · published 3.5
2.85
Erik Schultink
usually #1 Male Singles 50%, also #1 Male Doubles 50% · published 3
2.66
Laura Schultink
usually #1 Female Doubles 80%, also #1 Mixed Doubles 20% · published 3
2.45
Eysen Shi
published 3
2.32
Keshia Peters
published
2.10
Lei Tian
published 2.5
Sarah Groom
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.

Laura Schultink + Erik Schultink303 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
Carolina DeHaan
31W–21L career · type A · 1 line in 2025
22%78%<1%
3.11
3
Erik Schultink
11W–10L career · 4 lines in 2025
1%86%13%
2.85
3
Laura Schultink
23W–14L career · 5 lines in 2025
13%86%1%
2.66
3
Eysen Shi
1W–11L career · type S · no lines in 2025
65%35%<1%
2.45
Keshia Peters
4W–5L career · no lines in 2025
0%90%10%
2.32
2.5
Lei Tian
1W–6L career · type S · no lines in 2025
0%>99%<1%
2.10
Sarah Groom
0W–3L career · no 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.