Teams

SAC-Marsh

2023 Mixed 18 & Over · 7.0 Mixed

10 players · average NTRP 3.67 · USTA/PACIFIC NW / NORTHERN OREGON

View scouting list →
Scouting

Roster averages 3.76 estimated across 4 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.

4.12
Kristin Spear
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
3.95
Kristie Leake
usually #1 Doubles 60%, also #2 Doubles 40% · published 4.5
3.82
Teresa Sullivan
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
Julie Legassick
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Michael Leake
usually #3 Doubles 50%, also #1 Doubles 50% · published 3.5
Robin Fernstrom
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
3.15
Matt Curtis
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
Jeff Legassick
usually #2 Doubles 100% · published 3
Tim Fernstrom
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
Todd Spear
usually #1 Doubles 50%, also #2 Doubles 50% · published 0
Results7 ties
2022-11-06Lost 03
L#1 DoublesTim Fernstrom / Kristin Spear vs Duy Nguyen / Wendi Ouellette6-3, 4-6, 1-0
L#2 DoublesRobin Fernstrom / Jeff Legassick vs Ryan Owens / Mary Green-Zwemke6-4, 3-6, 1-0
L#3 DoublesMatt Curtis / Megan Meagher vs Brad Johnson / Anh Nguyen3-6, 6-3, 1-0
2022-10-23Split 11
L#1 DoublesMary Marsh / Michael Leake vs Jane Pinkowski / Jeff Anhaltzer6-4, 7-5
W#2 DoublesTeresa Sullivan / Michael Sullivan vs John Yu / Jayne Mitchell6-4, 6-3
2022-10-22Lost 02
L#1 DoublesJulie Legassick / Michael Leake vs Robert Truong / Cheri Martes Davis6-1, 6-2
L#2 DoublesMichael Sullivan / Kristin Spear vs Craig Putnam / Vivian Nguyen6-2, 6-7, 1-0
2022-10-15Won 21
W#1 DoublesKristie Leake / Tim Fernstrom vs Julie Gorecki / Daniel Gorecki6-4, 6-0
L#2 DoublesTodd Spear / Megan Meagher vs Andy LaFrazia / Tammy LaFrazia6-4, 6-7, 1-0
W#3 DoublesMichael Leake / Robin Fernstrom vs Stephanie Smith / JT Smith6-3, 6-7, 1-0
2022-09-24Lost 12
L#1 DoublesMichael Sullivan / Teresa Sullivan vs Edwardeen Hilts / Brian McDonagh6-3, 6-2
L#2 DoublesJulie Legassick / Jeff Legassick vs Sarah Robertson / Jeff Cronn6-2, 6-0
W#3 DoublesMary Marsh / Michael Leake vs Andrea Lamprecht / Derek Lamprecht7-5, 6-0
2022-09-18Lost 12
L#1 DoublesTeresa Sullivan / Todd Spear vs Jennifer Tran / Seth Yount6-3, 6-3
L#2 DoublesMegan Meagher / Matt Curtis vs Marie Dorsey / Vuong Nguyen1-6, 6-4, 1-0
W#3 DoublesStephen Marsh / Robin Fernstrom vs Danica Lee / Sanh Trinh2-6, 6-4, 1-0
2022-09-10Won 20
W#1 DoublesKristin Spear / Matt Curtis vs Thor Deacon / Maritess Mayer6-2, 6-2
W#2 DoublesKristie Leake / Tim Fernstrom vs Richard Jennings / Karen Harlow6-2, 6-3
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
Kristin Spear
110W–39L career
3%97%0%
4.12
4.5
Kristie Leake
126W–83L career · type A
26%74%0%
3.95
4
Teresa Sullivan
112W–57L career
0%98%1%
3.82
3.5
Julie Legassick
32W–33L career
not enough data
3.5
Michael Leake
16W–40L career
not enough data
3.5
Robin Fernstrom
48W–36L career
not enough data
3.5
Matt Curtis
45W–35L career
6%94%0%
3.15
3
Jeff Legassick
31W–47L career
not enough data
3
Tim Fernstrom
20W–31L career
not enough data
0
Todd Spear
23W–21L 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.