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LOTC-Shull

2019 Mixed 18 & Over · 8.0 Mixed

9 players · average NTRP 4.11 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.77 estimated across 8 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.

4.21
Steve Vanderploeg
usually #2 Doubles 70%, also #1 Doubles 20% · published 4.5
4.17
Luke Filose
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
3.89
Charles Taguet
usually #1 Doubles 40%, also #3 Doubles 40% · published 4.5
3.70
Justin Shull
usually #3 Doubles 83%, also #2 Doubles 17% · published 4
3.61
Kelly Mohr
usually #1 Doubles 57%, also #2 Doubles 43% · published 4
3.59
Julie Hanson
usually #2 Doubles 60%, also #3 Doubles 30% · published 4
3.55
Margaret Sivertsen
usually #1 Doubles 50%, also #3 Doubles 50% · published 4
3.47
Kana Wakamatsu
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
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Thor Deacon
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
Results8 ties
2018-12-01Won 2–0
W#2 DoublesKelly Mohr / Steve Vanderploeg vs Jill Sather / Albert Hensley6-4, 6-1
W#3 DoublesCharles Taguet / Kana Wakamatsu vs Rie Sasakawa / Russ Martinelli6-2, 6-4
2018-11-18Won 2–0
W#1 DoublesTraci Harris / Luke Filose vs Emily McBride / Tom Lonergan6-3, 6-3
W#3 DoublesJustin Shull / Margaret Sivertsen vs Ken Crowley / Kris Kelly-Koster6-2, 6-2
2018-11-17Split 1–1
L#2 DoublesLuke Filose / Julie Hanson vs John Hunter / Stephanie Haas6-2, 5-7, 1-0
W#3 DoublesTraci Harris / Charles Taguet vs Minh Nguyen / Christy Grisham6-0, 7-5
2018-11-10Won 3–0
W#1 DoublesTraci Harris / Steve Vanderploeg vs Dave Cobban / Sue Harrison6-3, 6-2
W#2 DoublesKelly Mohr / Luke Filose vs Kevin Heller / Sharon Grilley6-3, 2-6, 1-0
W#3 DoublesJustin Shull / Julie Hanson vs Kristin Fudalla / Lee Crockett6-4, 6-1
2018-10-06Won 2–1
W#1 DoublesKelly Mohr / Luke Filose vs Raini Spitze / Jon Monson7-6, 6-1
L#2 DoublesKana Wakamatsu / Steve Vanderploeg vs Mary Hlady / Rusty Williams5-7, 6-1, 1-0
W#3 DoublesJustin Shull / Julie Hanson vs Cathie Recker / Neal Burgstahler6-2, 4-6, 1-0
2018-09-21Split 1–1
L#1 DoublesSteve Vanderploeg / Margaret Sivertsen vs Rick Wong / Eileen Reid6-4, 6-2
W#2 DoublesLuke Filose / Traci Harris vs Tod Johnston / Molly Murphy6-4, 6-2
2018-09-15Lost 1–2
W#1 DoublesKelly Mohr / Luke Filose vs Mary Klinger / Eugene Jung6-3, 7-5
L#2 DoublesTraci Harris / Steve Vanderploeg vs Steve Eggerts / Hoa Lesselroth6-1, 4-6, 1-0
L#3 DoublesJustin Shull / Julie Hanson vs Tonya Dirk / Jason Ruhmann6-4, 1-6, 1-0
2018-09-09Won 2–0
W#2 DoublesJulie Hanson / Steve Vanderploeg vs Patricia Sturr / Tony Solivan6-1, 6-1
W#3 DoublesThor Deacon / Nicole Ralston vs Adam Hutchinson / Elaine Zevenbergen6-2, 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
Steve Vanderploeg
157W–111L career
0%99%1%
4.21
4.5
Luke Filose
106W–43L career
1%99%0%
4.17
4.5
Charles Taguet
104W–63L career
41%59%0%
3.89
4
Justin Shull
136W–38L career
2%98%0%
3.70
4
Kelly Mohr
115W–58L career
8%92%0%
3.61
4
Julie Hanson
47W–64L career
11%89%0%
3.59
4
Margaret Sivertsen
39W–44L career
24%76%0%
3.55
4
Kana Wakamatsu
60W–63L career
42%58%0%
3.47
3.5
Thor Deacon
36W–39L 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.