Teams

Jackson Spring Thing

2026 ONE Doubles SPRING · 3.0 Women

3 players · average NTRP 3.00 / NORTHERN

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule4 played
2026-04-28vs Rain: Spring BreakersWon 10
W#1 DoublesDanielle Grimaldi / Sarah Jackson vs Gretchen Foster / Katie Benson6-2, 6-4
2026-04-21vs Li: Ten is for lifeLost 01
L#1 DoublesSarah Jackson / Danielle Grimaldi vs Muqing Li / Erin Menzner2-6, 6-7
2026-04-14vs Zamorano - Tennis ChicksWon 10
W#1 DoublesDanielle Grimaldi / Rebecca Lieberman vs Lisa Sheppard Pearson / Ana Paula Zamorano6-2, 6-4
2026-04-07vs Four Non BlondesWon 10
W#1 DoublesRebecca Lieberman / Sarah Jackson vs Christine Nguyen / Katie Halverson6-4, 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 standings26 teams · 3.0 Women
TeamWLInd. WInd. LSets lostGames lost
1Handled by Stromberg & Haynes5151222
2Yan/Tregembo/Chihos5151343
3Landrus/O'Brien5151431
4Kesler: The Aqua Nets5151449
5Fermstad: Double Trouble4242448
6Johnson: Court Queens4242432
7Fort/Farrington4242544
8Bruner: ONE Doubles 264242549
9Hultman/Hoffer OneDoubles Spring264242541
10Trescher/VanderWaal3131230
11Jackson Spring Thing3131231
12Nguyen: Double Trouble3131335
13Li: Ten is for life3131439
14Price: 2PNW3333644
15Henriksen: Smack-It Sisters2222540
16Raina2222541
17Four Non Blondes2222643
18Graham Slam2424849
19Liu/Sampat2424858
20Zamorano - Tennis Chicks1313638
21Rain: Spring Breakers1313744
22Knoch-Dohlin: Nadal There15151061
23Ulmer/James/Johnson0404848
24Herrera: Net Ninjas06061272
25Christopher: Heated Revelry06061273
26Leonard: CoJo Mojo06061272

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 2.91 estimated across 3 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.

3.07
Rebecca Lieberman
usually #1 Doubles 100% · published
2.87
Danielle Grimaldi
usually #1 Doubles 100% · published 3
2.79
Sarah Jackson
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.

Danielle Grimaldi + Rebecca Lieberman4168% games+8.9% vs expected
Sarah Jackson + Danielle Grimaldi8256% games+3.4% vs expected
Sarah Jackson + Rebecca Lieberman404 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.

Rebecca Lieberman
19W–3L career · 2 lines in 2026
<1%30%70%
3.07
3
Danielle Grimaldi
29W–14L career · 3 lines in 2026
<1%83%16%
2.87
Sarah Jackson
83W–55L career · 3 lines in 2026
1%94%5%
2.79

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.