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SHC-Trank/Sullivan

2022 Mixed 55 & Over · 9.0 Mixed

12 players · average NTRP 4.29 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.92 estimated across 10 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.

4.26
Kim Hill
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
—
Lisa Gray
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
—
Steve Bidwell
usually #1 Doubles 75%, also #3 Doubles 25% · published 4.5
4.23
Carol Woolman
published 4.5
4.22
Steve Fogg
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
4.02
Karen Sullivan
usually #2 Doubles 40%, also #1 Doubles 40% · published 4.5
3.92
Xia Wu
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
3.82
Jeroen Swanborn
usually #2 Doubles 38%, also #3 Doubles 38% · published 4
3.79
Patrick Trank
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.68
Matthew Trank
usually #2 Doubles 57%, also #3 Doubles 29% · published 4
3.67
Anne McCroskey
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.63
Donna Roisom
usually #3 Doubles 83%, also #2 Doubles 17% · published 4
Results6 ties
2022-06-05Lost 0–2
L#1 DoublesSteve Fogg / Linda Anderson vs Frank Collie / Rebecca Redding6-3, 6-2
L#2 DoublesWilliam Anderson / Xia Wu vs Renato Bernasconi Zuccari / Kimberly Quach6-3, 3-6, 1-0
2022-05-22Lost 1–2
L#1 DoublesSteve Fogg / Kim Hill vs Bo Johnson / Marie Picard6-4, 6-2
L#2 DoublesPatrick Trank / Xia Wu vs June Wu / Michael Yee6-2, 6-7, 1-0
W#3 DoublesAnne McCroskey / William Anderson vs N/A6-0, 6-0
2022-05-06Lost 0–3
L#1 DoublesLisa Gray / Steve Bidwell vs Frank Collie / Rebecca Redding6-1, 6-4
L#2 DoublesKaren Sullivan / Steve Fogg vs Michelle Donato / Chris Fahlbusch7-6, 3-6, 1-0
L#3 DoublesKim Hill / Matthew Trank vs Kimberly Quach / Renato Bernasconi Zuccari6-2, 7-6
2022-04-30Lost 1–2
W#1 DoublesKaren Sullivan / Steve Fogg vs Marie Picard / Bo Johnson7-5, 7-5
L#2 DoublesAnne McCroskey / Mark Stephenson vs Claire Thayer / Brandt Wegner1-1
L#3 DoublesDonna Roisom / Steve Bidwell vs Monika Dolega-kowalewski / Francisco Rivera-Giusti7-5, 6-0
2022-04-16Lost 0–2
L#1 DoublesXia Wu / Steve Bidwell vs Rebecca Redding / Ian Fudalla6-1, 6-4
L#3 DoublesDonna Roisom / William Anderson vs Kimberly Quach / Bruce Sylva6-3, 6-3
2022-04-10Lost 0–3
L#1 DoublesSteve Bidwell / Kim Hill vs Marie Picard / Brandt Wegner6-0, 6-3
L#2 DoublesJeroen Swanborn / Linda Anderson vs June Wu / Michael Yee6-0, 6-4
L#3 DoublesMatthew Trank / Karen Sullivan vs Claire Thayer / Bo Johnson6-1, 4-6, 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.

4.5
Kim Hill
94W–59L career
0%98%2%
4.26
4.5
Lisa Gray
90W–56L career
not enough data
—
4.5
Steve Bidwell
60W–68L career
not enough data
—
4.5
Carol Woolman
31W–13L career · type S
1%96%3%
4.23
4.5
Steve Fogg
84W–67L career
0%99%1%
4.22
4.5
Karen Sullivan
62W–81L career
12%88%0%
4.02
4.5
Xia Wu
54W–79L career · type A
33%67%0%
3.92
4
Jeroen Swanborn
67W–46L career
0%98%2%
3.82
4
Patrick Trank
87W–59L career
1%98%1%
3.79
4
Matthew Trank
78W–63L career
3%97%0%
3.68
4
Anne McCroskey
34W–52L career
6%94%0%
3.67
4
Donna Roisom
100W–85L career
9%91%0%
3.63

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.