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PTC-Carrato/Kanz

2023 Mixed 40 & Over · 8.0 Mixed

10 players · average NTRP 3.95 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.55 estimated across 9 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.

4.03
Mary Bullard
usually #3 Doubles 67%, also #1 Doubles 17% · published 4.5
3.97
Michelle Mehr
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
3.79
Rudd McGarity
published 4.5
—
Frank Mathews
usually #1 Doubles 100% · published 4
3.53
Austin Rice-Stitt
usually #3 Doubles 56%, also #2 Doubles 33% · published 4
3.48
Brad Johnson
usually #1 Doubles 46%, also #2 Doubles 36% · published 3.5
3.42
Sarah Carrato
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.37
Gina Ossanna
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.25
John Kin
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.10
Peter Singson
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
Results8 ties
2023-03-12Lost 0–3
L#1 DoublesGina Ossanna / Rudd McGarity vs Denielle Edlund / David Pham6-1, 6-1
L#2 DoublesSarah Carrato / Scott Stumbo vs Jennifer Kuhr / Charles Taguet6-3, 6-2
L#3 DoublesKEELEY PLOMBON / John Kin vs Heike Droste / Agus Rusli7-5, 7-5
2023-03-05Won 2–0
W#2 DoublesSarah Carrato / Scott Stumbo vs Judith Kobin / Ahmad Garakani6-3, 6-2
W#3 DoublesKacie Wise / Austin Rice-Stitt vs Kyoko Adcock / Bryan Shieh6-2, 6-1
2023-03-04Won 2–0
W#1 DoublesGina Ossanna / Rudd McGarity vs Kristie Leake / Ajay Kumar Tippisetti7-5, 6-4
W#2 DoublesBrad Johnson / Mary Bullard vs Teresa Sullivan / James Raleigh0-6, 6-4, 1-0
2023-02-19Split 1–1
W#2 DoublesRudd McGarity / Gina Ossanna vs Jonathan Quon / Karen Groenweghe6-2, 6-1
L#3 DoublesJohn Kin / KEELEY PLOMBON vs Tony Solivan / Kelly Bartlett6-3, 6-1
2023-02-04Lost 0–2
L#1 DoublesHolly Kanz / Frank Mathews vs Aman Wasu / Cindy Rushall6-2, 6-0
L#3 DoublesGina Ossanna / Scott Pennington vs Timothy Johnson / Cheryl Geisler6-4, 2-6, 1-0
2023-01-28Lost 0–3
L#1 DoublesSarah Carrato / Scott Stumbo vs Jon Monson / Michelle Beilstein6-3, 7-5
L#2 DoublesGina Ossanna / Rudd McGarity vs Alix Edwards / Ted Dehaan6-2, 6-1
L#3 DoublesMichelle Mehr / Peter Singson vs Raini Spitze / Paul OHollaren5-7, 6-1, 1-0
2023-01-15Lost 1–2
L#1 DoublesMary Bullard / Brad Johnson vs Natalya Ramras / Frank Seo7-6, 6-4
L#2 DoublesHolly Kanz / John Kin vs Patrick Clancy / Cindy Rushall6-3, 6-1
W#3 DoublesAustin Rice-Stitt / Kacie Wise vs Timothy Johnson / Tammy Brennan7-5, 4-6, 1-0
2023-01-08Split 1–1
L#2 DoublesMichelle Mehr / Austin Rice-Stitt vs Chizuru Watanabe / Nate Look6-4, 6-3
W#3 DoublesSarah Carrato / Scott Stumbo vs Judith Kobin / Ahmad Garakani6-2, 6-1
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.
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.

4.5
Mary Bullard
118W–61L career
10%90%0%
4.03
4.5
Michelle Mehr
22W–46L career
24%76%0%
3.97
4.5
Rudd McGarity
33W–65L career
73%27%0%
3.79
4
Frank Mathews
34W–11L career
not enough data
—
4
Austin Rice-Stitt
77W–49L career
26%74%0%
3.53
3.5
Brad Johnson
196W–102L career
0%87%13%
3.48
4
Sarah Carrato
77W–66L career
55%45%0%
3.42
3.5
Gina Ossanna
33W–61L career
0%92%7%
3.37
3.5
John Kin
39W–36L career · type M
6%91%3%
3.25
3.5
Peter Singson
88W–60L career
13%87%0%
3.10

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.