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PTC-Ouellette/Burns

2024 Mixed 18 & Over · 7.0 Mixed

9 players · average NTRP 3.5 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.34 estimated across 7 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.

3.53
Austin Rice-Stitt
usually #1 Doubles 75%, also #2 Doubles 25% · published 4
3.36
Parish Burns
usually #1 Doubles 50%, also #3 Doubles 25% · published 3.5
3.35
Matthew Kanagandram
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
3.35
Reiko Maeda
usually #1 Doubles 60%, also #3 Doubles 20% · published 3.5
3.29
May Graham
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.26
Miriam Habafy
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
—
Brian McCarn
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
3.25
John Kin
usually #2 Doubles 75%, also #3 Doubles 25% · published 3.5
—
Kjell Ostlund
published 3
Results8 ties
2023-11-19Won 2–0
W#1 DoublesMay Graham / Brian McCarn vs Mikhail Golovnykh / Ruta Golovnykh6-1, 6-1
W#2 DoublesParish Burns / Andrew Scheirer vs Qiming Wang / Qin Lian6-3, 6-0
2023-11-11Won 2–1
W#1 DoublesReiko Maeda / Austin Rice-Stitt vs Peter Singson / HOLLY LIBERATORE7-6, 6-4
W#2 DoublesMiriam Habafy / John Kin vs Gina Ossanna / Alex McIntosh6-2, 4-6, 1-0
L#3 DoublesParish Burns / Matthew Kanagandram vs KEELEY PLOMBON / Huy Bui1-6, 6-4, 1-0
2023-10-29Lost 1–2
L#1 DoublesShelby Hill / Matthew Kanagandram vs Nicole Norby / Vincent Lee7-6, 6-3
L#2 DoublesAustin Rice-Stitt / Reiko Maeda vs Leo Keppinger / Barbara Dusicka6-3, 6-1
W#3 DoublesMiriam Habafy / Matteo Capaldi vs Yvonne Qiu / Hoover Li6-2, 7-6
2023-10-15Lost 0–3
L#1 DoublesReiko Maeda / Austin Rice-Stitt vs Greg Culver / Leslie Lynch5-7, 6-2, 1-0
L#2 DoublesJohn Kin / Amy Ouellette vs Spencer Byrd / Nancy Korenek-Leveque7-6, 6-4
L#3 DoublesMay Graham / Brian McCarn vs Hector M Salomon / Jasmin Brown6-2, 6-4
2023-10-06Won 2–0
W#1 DoublesAustin Rice-Stitt / Reiko Maeda vs Stephanie Smith / JT Smith6-2, 6-2
W#2 DoublesMiriam Habafy / John Kin vs Stephanie Jones / Chris Simpson6-2, 6-3
2023-10-06Won 2–0
W#1 DoublesParish Burns / Matthew Kanagandram vs Jacob Bobrowski / Madison Scully6-2, 6-0
W#3 DoublesAndrew Scheirer / May Graham vs Anna Tsoi / Amartya Dutta6-1, 6-1
2023-09-24Won 2–0
W#2 DoublesGavin Newcomer / Miriam Habafy vs Steve Harris / Julie LaMontagne6-7, 6-4, 1-0
W#3 DoublesAmy Ouellette / John Kin vs Aaron Kohn / Nina Sanna6-3, 2-6, 1-0
2023-09-09Won 2–1
L#1 DoublesParish Burns / Andrew Scheirer vs Mihee Park / Jihoon Bang6-3, 6-4
W#2 DoublesShelby Hill / Matthew Kanagandram vs Woohyung Kim / Jungyoon Kim6-3, 6-3
W#3 DoublesReiko Maeda / Gavin Newcomer vs Dawan Pandya / Shik Ahn6-4, 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
Austin Rice-Stitt
77W–49L career
26%74%0%
3.53
3.5
Parish Burns
112W–58L career
0%98%2%
3.36
3.5
Matthew Kanagandram
27W–20L career
0%97%3%
3.35
3.5
Reiko Maeda
76W–78L career
0%98%2%
3.35
3.5
May Graham
89W–78L career
0%99%0%
3.29
3.5
Miriam Habafy
105W–82L career
0%99%0%
3.26
3.5
Brian McCarn
4W–12L career
not enough data
—
3.5
John Kin
39W–36L career · type M
6%91%3%
3.25
3
Kjell Ostlund
15W–14L career
not enough data
—

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.