Teams

IND-Inland Northwest

2023 Mixed 40 & Over · 7.0

6 players · average NTRP 4.00 / EASTERN WASHINGTON

View scouting list →
Schedule3 played
2023-07-29vs YTC-Yakima Match MakersWon 30
W#1 DoublesKrista Crotty / Joshua Cantu vs Liberty McLean / Kenneth Gola6-2, 6-3
W#2 DoublesRamona Higashi / Joseph Lenti vs Michelle Gaberman / John Asriel6-4, 6-1
W#3 DoublesKelli Geris / Mario Piergallini vs Jordan Stanley / Laura Temby6-3, 6-1
2023-07-29vs PC-GavinoWon 30
W#1 DoublesKelli Geris / Mario Piergallini vs Brando Suarez / Kathleen Galioto7-5, 6-4
W#2 DoublesRamona Higashi / Joseph Lenti vs Craig Hansen / Debbie Meyers2-6, 6-1, 1-0
W#3 DoublesKrista Crotty / Joshua Cantu vs Roman Gavino / LYNNETTE PIERCE6-4, 6-2
2023-07-28vs PC-Serve Me A DoubleWon 21
W#1 DoublesRamona Higashi / Joseph Lenti vs Chad Dawson / Erica Clontz6-4, 6-2
W#2 DoublesKelli Geris / Mario Piergallini vs Dana Holle / Ken Holle6-2, 6-2
L#3 DoublesKrista Crotty / Joshua Cantu vs Jennifer Huebner / Young-Mo Kim6-7, 3-6
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 standings7 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1EW-PC-Brooks40120149
2IND-Inland Northwest3081359
3PC-Gavino21541184
4PC-Happy Hour225716111
5PC-Serve Me A Double12451085
6YTC-Yakima Match Makers031817101
7YTC-Set the Tone0411123140

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 #2 Doubles 33%, also #3 Doubles 33% · published 4
Joseph Lenti
usually #2 Doubles 67%, also #1 Doubles 33% · published
Joshua Cantu
usually #3 Doubles 67%, also #1 Doubles 33% · published
Krista Crotty
usually #3 Doubles 67%, also #1 Doubles 33% · published
Mario Piergallini
usually #2 Doubles 33%, also #3 Doubles 33% · published
Ramona Higashi
usually #2 Doubles 67%, also #1 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
Kelli Geris + Joseph Lenti3253% gamesnot enough data
Joshua Cantu + Krista Crotty213 matchesnot enough data
Ramona Higashi + Joseph Lenti303 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
Kelli Geris
63W–35L career · 3 lines in 2023
24%76%<1%
3.60
Joseph Lenti
17W–10L career · 3 lines in 2023
not enough data
Joshua Cantu
17W–33L career · 3 lines in 2023
not enough data
Krista Crotty
19W–16L career · 3 lines in 2023
not enough data
Mario Piergallini
21W–23L career · 3 lines in 2023
not enough data
Ramona Higashi
28W–12L career · 3 lines in 2023
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.