Teams

Tri Breakers/Huang/Pleasanton

2024 Tri-Level 3.5 · 4.0

9 players · average NTRP 4.25 / NO. CALIFORNIA

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Schedule3 played
2024-10-26vs PuffGirls/Tsujimoto/Palo AltoWon 21
W#1 DoublesIn Bum Kim / Wyler Collo vs Ilana Volfin / Veeraya Pupatwibul7-6, 6-2
L#2 DoublesJennie Kessinger / Jennifer Leebove vs Jennifer Jin / Meng-Lun Tsai1-6, 2-6
W#3 DoublesNatalie Chriss / Jennifer Do vs Alicia Sim / Rina Tsujimoto6-0, 6-2
2024-10-25vs No Randos/Blaha/Los AltosWon 30
W#1 DoublesWyler Collo / Stacey Huang vs Silvana Gold / Jeannine Roberts6-3, 6-1
W#2 DoublesErika Garell / Jennie Kessinger vs Michelle Nicholson / Dorien Africa4-6, 6-2, 1-0
W#3 DoublesJanie McCauley / Natalie Chriss vs Sally Kim / Julie Blaha7-5, 6-4
2024-10-25vs Court Queens/Parise/FremontWon 21
W#1 DoublesWyler Collo / Stacey Huang vs Puja Mukherjee / Kathryn Aguilar5-7, 6-4, 1-0
L#2 DoublesJennifer Leebove / Jennie Kessinger vs Leslie Matsumura / Dellys Nguyen3-6, 6-3, 0-1
W#3 DoublesJanie McCauley / Jennifer Do vs Diem Nguyen / Sridevi Parise6-3, 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 4.0 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 3.74 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.

4.13
In Bum Kim
usually #1 Doubles 100% · published 4.5
3.96
Jennie Kessinger
usually #2 Doubles 100% · published
3.89
Wyler Collo
usually #1 Doubles 100% · published
3.80
Jennifer Do
usually #3 Doubles 100% · published
3.70
Janie McCauley
usually #3 Doubles 100% · published
3.60
Erika Garell
usually #2 Doubles 100% · published 4
3.43
Jennifer Leebove
usually #2 Doubles 100% · published
3.43
Natalie Chriss
usually #3 Doubles 100% · published
Stacey Huang
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.

Wyler Collo + Stacey Huang224 matchesnot enough data
Wyler Collo + In Bum Kim303 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
In Bum Kim
8W–5L career · 1 line in 2024
16%83%<1%
4.13
Jennie Kessinger
5W–11L career · 3 lines in 2024
61%39%<1%
3.96
Wyler Collo
14W–13L career · 3 lines in 2024
80%20%<1%
3.89
Jennifer Do
26W–16L career · 2 lines in 2024
1%93%6%
3.80
Janie McCauley
18W–16L career · 2 lines in 2024
6%93%1%
3.70
4
Erika Garell
9W–15L career · 1 line in 2024
22%78%<1%
3.60
Jennifer Leebove
1W–6L career · 2 lines in 2024
71%29%<1%
3.43
Natalie Chriss
16W–24L career · 2 lines in 2024
<1%71%28%
3.43
Stacey Huang
2W–3L career · 2 lines in 2024
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.