← Teams

PTC-McGovern

2023 Mixed 18 & Over · 7.0 Mixed

11 players · average NTRP 3.65 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.40 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.

3.75
Morgan Cowling
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
—
Carly Vendegna
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
—
Frank Mathews
usually #1 Doubles 100% · published 4
3.56
Gabriela McIntosh
usually #3 Doubles 50%, also #2 Doubles 40% · published 4
3.37
Alex McIntosh
usually #2 Doubles 50%, also #3 Doubles 50% · published 3.5
3.37
Gina Ossanna
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.35
Andy Bracken
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.30
Huy Bui
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
3.10
Peter Singson
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
—
Joy Meyers
usually #3 Doubles 100% · published 3
—
Manuel Garcia-Fernandez
published 0
Results7 ties
2022-11-20Lost 1–2
L#1 DoublesAndy Bracken / Gabriela McIntosh vs Andrea Findley / Mark Beilstein3-6, 6-3, 1-0
W#2 DoublesKEELEY PLOMBON / Alex McIntosh vs Chanon Ogden / Michael Ogden7-5, 6-4
L#3 DoublesPeter Singson / Joy Meyers vs Lisa Barsotti / Davis Wilkinson7-6, 7-5
2022-11-19Won 3–0
W#1 DoublesFrank Mathews / KEELEY PLOMBON vs Mark Muckerheide / Vicki Blunt6-0, 6-2
W#2 DoublesPeter Singson / Carly Vendegna vs Ray Baxter / Alana Rhea6-0, 6-2
W#3 DoublesHuy Bui / Gabriela McIntosh vs Josh Belzman / Andrea Kropp6-1, 6-1
2022-11-13Lost 0–2
L#2 DoublesHuy Bui / Morgan Cowling vs Aaron Stout / Archana Ravi6-2, 6-0
L#3 DoublesAlex McIntosh / Gabriela McIntosh vs Jinquan Wu / Gabriel Weaver6-2, 6-7, 1-0
2022-10-30Lost 1–2
L#1 DoublesPeter Singson / Morgan Cowling vs Chris MacMillan / Nina Bakos6-7, 6-4, 1-0
L#2 DoublesAndy Bracken / KEELEY PLOMBON vs Gabor Muskat / Karina Frid7-6, 6-3
W#3 DoublesAlex McIntosh / Gina Ossanna vs Tri Pham / Garrene Mcgale6-3, 6-4
2022-10-08Lost 0–3
L#1 DoublesKyle McGovern / Gina Ossanna vs John Crouter / Kasia Boslaugh6-2, 6-1
L#2 DoublesAlex McIntosh / Carly Vendegna vs Shaoping Lin / Christina Bergstrom6-2, 6-4
L#3 DoublesHuy Bui / Gabriela McIntosh vs Mike E Kluvia / Janet Mills6-7, 7-6, 1-0
2022-09-24Split 1–1
W#1 DoublesHuy Bui / Morgan Cowling vs Murray Jansen / Suki Birge6-7, 7-5, 1-0
L#3 DoublesAndy Bracken / Gina Ossanna vs Dean Waters / Susan Rolfe6-2, 4-6, 1-0
2022-09-18Won 2–1
W#1 DoublesFrank Mathews / KEELEY PLOMBON vs Shelly Bigley / Christian Casebeer6-2, 6-2
L#2 DoublesPeter Singson / Morgan Cowling vs Jeri Finn / John Oh4-6, 7-5, 1-0
W#3 DoublesKyle McGovern / Carly Vendegna vs Kayla Casebeer / Reza Kafi5-7, 6-0, 1-0
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
Morgan Cowling
101W–63L career
1%99%0%
3.75
4
Carly Vendegna
67W–44L career
not enough data
—
4
Frank Mathews
34W–11L career
not enough data
—
4
Gabriela McIntosh
111W–90L career
18%82%0%
3.56
3.5
Alex McIntosh
86W–75L career
0%96%4%
3.37
3.5
Gina Ossanna
33W–61L career
0%92%7%
3.37
3.5
Andy Bracken
59W–57L career
0%96%4%
3.35
3.5
Huy Bui
108W–61L career
0%99%1%
3.30
3.5
Peter Singson
88W–60L career
13%87%0%
3.10
3
Joy Meyers
46W–50L career
not enough data
—
0
Manuel Garcia-Fernandez
19W–9L 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.