Teams

NorCal/Nicholson/Tri-Level4.0/4.5/5.0W

2025 Tri-Level 4.0 · 4.5

11 players · average NTRP 4.92 / NO. CALIFORNIA

View scouting list →
Schedule4 played
2025-03-22vs Good Vibes/Kim/MoragaWon 30
W#1 DoublesIsa Chau / Megan Tang vs Noa Ramo-Larios / Chandra Thomas6-3, 6-0
W#2 DoublesClarissa Fung / Daniela Castillo Contreras vs Jamille Lee / Jessica Kim6-0, 6-1
W#3 DoublesAdeeti Ullal / Kristen Wong vs Maribel Barajas / Angela Merola6-3, 6-0
W#1 DoublesElena Pan / Isa Chau vs Nora Engelmann / Leslie Chan6-1, 7-5
W#2 DoublesDaniela Castillo Contreras / Lisa Liang vs Clarissa Binkley / Liza Geary6-0, 6-4
W#3 DoublesMichelle Nicholson / Kristen Wong vs Alicia Li / Shelli Skinner4-6, 6-4, 1-0
2025-03-21vs SunnyWhale/Jin/SunnyvaleWon 30
W#1 DoublesKatharine Dicconson / Elena Pan vs Aoife Wilson / Danielle Caro6-4, 6-4
W#2 DoublesClarissa Fung / Lisa Liang vs Veeraya Pupatwibul / Winnie Zhang6-4, 6-4
W#3 DoublesMichelle Nicholson / Adeeti Ullal vs Jiyun Hong / Emily Ling6-1, 6-1
2025-03-21vs Hit Happy/Van Slyke/Walnut CreekWon 30
W#1 DoublesKatharine Dicconson / Megan Tang vs Marianne Dundon / Signy Judd6-3, 6-1
W#2 DoublesDaniela Castillo Contreras / Lisa Liang vs Fenny Widjaja / Jill Van Slyke6-0, 6-1
W#3 DoublesKristen Wong / Adeeti Ullal vs Martha Matrisian / Ana Larner6-4, 6-3
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 standings for 4.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 4.44 estimated across 8 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.

4.79
Megan Tang
usually #1 Doubles 100% · published
Cameron Tehrani
published 5
Clarissa Fung
usually #2 Doubles 100% · published 5
Daniela Castillo Contreras
usually #2 Doubles 100% · published 5
4.71
Katharine Dicconson
usually #1 Doubles 100% · published
4.63
Isa Chau
usually #1 Doubles 100% · published 5
4.61
Elena Pan
usually #1 Doubles 100% · published 5
4.56
Lisa Liang
usually #2 Doubles 100% · published
4.44
Adeeti Ullal
usually #3 Doubles 100% · published 4.5
3.92
Michelle Nicholson
usually #3 Doubles 100% · published
3.84
Kristen Wong
usually #3 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.

Katharine Dicconson + Elena Pan314 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.

Megan Tang
5W–0L career · 2 lines in 2025
1%93%6%
4.79
5
Cameron Tehrani
2W–0L career · type M · no lines in 2025
not enough data
5
Clarissa Fung
12W–1L career · 2 lines in 2025
not enough data
5
Daniela Castillo Contreras
3W–0L career · 3 lines in 2025
not enough data
Katharine Dicconson
10W–3L career · 2 lines in 2025
5%93%1%
4.71
5
Isa Chau
4W–4L career · 2 lines in 2025
15%84%<1%
4.63
5
Elena Pan
9W–3L career · 2 lines in 2025
21%79%<1%
4.61
Lisa Liang
10W–6L career · 3 lines in 2025
33%67%<1%
4.56
4.5
Adeeti Ullal
14W–11L career · 3 lines in 2025
<1%67%33%
4.44
Michelle Nicholson
43W–22L career · 2 lines in 2025
<1%73%27%
3.92
Kristen Wong
15W–5L career · 3 lines in 2025
<1%88%12%
3.84

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.