Teams

WCCP-All Mixed Up

2024 Mixed 18 & Over · 7.0

6 players · average NTRP 4.00 / EASTERN WASHINGTON

View scouting list →
Schedule3 played
2023-10-14vs PC-GavinoWon 30
W#1 DoublesRamona Higashi / Joshua Cantu vs Sean Holloway / Cassandra Dicken7-6, 3-6, 1-0
W#2 DoublesLaura Temby / Zachary Ferriell vs Paul Kauwe / Danielle Dunigan6-3, 3-6, 1-0
W#3 DoublesKelli Geris / Mario Piergallini vs Roman Gavino / Debbie Meyers6-2, 7-5
2023-10-14vs YTC-Yakima SmashersWon 30
W#1 DoublesLaura Temby / Zachary Ferriell vs Kerry Steele / James Degrasse6-4, 6-2
W#2 DoublesKelli Geris / Mario Piergallini vs Daphne Reilly / Danny Sanchez1-6, 6-2, 1-0
W#3 DoublesRamona Higashi / Joshua Cantu vs Liberty McLean / Scott Stephen7-6, 5-7, 1-0
2023-10-13vs PC-HolleWon 21
L#1 DoublesKelli Geris / Mario Piergallini vs Jennifer Huebner / Hardik Panchal3-6, 3-6
W#2 DoublesRamona Higashi / Joshua Cantu vs Dana Holle / Ken Holle3-6, 6-2, 1-0
W#3 DoublesLaura Temby / Zachary Ferriell vs Renee Brockman / Bryce Richardson6-3, 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 standings6 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1EW-PC-Brooks40111575
2WCCP-All Mixed Up3081780
3PC-Holle2163974
4YTC-Yakima Smashers12361387
5YTC-Kiss Our Aces134818119
6PC-Gavino03181799

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 3.60 estimated across 1 rated player. 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.

3.60
Kelli Geris
usually #1 Doubles 33%, also #3 Doubles 33% · published 4
Joshua Cantu
usually #2 Doubles 33%, also #1 Doubles 33% · published
Laura Temby
usually #3 Doubles 33%, also #2 Doubles 33% · published
Mario Piergallini
usually #1 Doubles 33%, also #3 Doubles 33% · published
Ramona Higashi
usually #3 Doubles 33%, also #1 Doubles 33% · published
Zachary Ferriell
usually #3 Doubles 33%, also #2 Doubles 33% · 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.

Kelli Geris + Mario Piergallini5256% games+6.9% vs expected
Joshua Cantu + Ramona Higashi4248% games−1.7% vs expected
Laura Temby + Zachary Ferriell8063% gamesnot 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
Kelli Geris
63W–35L career · 3 lines in 2024
24%76%<1%
3.60
Joshua Cantu
17W–33L career · 3 lines in 2024
not enough data
Laura Temby
78W–51L career · 3 lines in 2024
not enough data
Mario Piergallini
21W–23L career · 3 lines in 2024
not enough data
Ramona Higashi
28W–12L career · 3 lines in 2024
not enough data
Zachary Ferriell
33W–21L career · 3 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.