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LOTC-Brewer

2019 Adult 40 & Over · 3.5 Men

7 players · average NTRP 3.36 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.10 estimated across 6 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.

3.37
Alex McIntosh
usually #1 Singles 75%, also #2 Singles 25% · published 3.5
—
Ryan Manwiller
usually #2 Singles 33%, also #1 Doubles 33% · published 3.5
3.21
Frank Brown
usually #3 Doubles 100% · published 3
3.15
William Allers
usually #1 Singles 50%, also #2 Doubles 33% · published 3.5
3.12
Hoover Li
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.00
Jeff Ruby
usually #2 Doubles 57%, also #3 Doubles 29% · published 3.5
2.76
Keith Westrum
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
Results9 ties
2019-06-30Lost 1–2
L#1 SinglesAlex McIntosh vs Asish Das2-6, 6-0, 1-0
L#2 DoublesKeith Westrum / William Allers vs Craig Frasier / Binh Vu6-4, 6-2
W#3 DoublesDavid Mealey / Jeff Ruby vs Michael Gilbertson / Kok Waii Wong6-2, 6-1
2019-06-14Split 2–2
W#1 SinglesAlex McIntosh vs Dirk Jacobs6-1, 6-2
L#2 DoublesCalvin Chen / Jeff Ruby vs Tony Humpage / Tim Findlay6-1, 6-1
W#2 SinglesRyan Manwiller vs Raimund Grube6-3, 6-4
L#3 DoublesKeith Westrum / Mike Chen vs Walt Crate / Edward Lang6-3, 6-2
2019-06-02Split 2–2
L#1 DoublesWilliam Allers / Ryan Manwiller vs Andy LaFrazia / Timothy Johnson6-1, 6-4
L#2 DoublesJeff Ruby / Hoover Li vs Brad Shafer / Bradley Perry7-5, 7-6
W#2 SinglesAlex McIntosh vs N/A6-0, 6-0
W#3 DoublesFrank Brown / Bruce Baker vs Ryan Rissler / Greg Brophy6-4, 7-5
2019-05-19Split 2–2
W#1 DoublesHoover Li / Jeff Ruby vs Jason Fitzgerald / John Baker6-2, 2-6, 1-0
W#1 SinglesAlex McIntosh vs William Harrison5-7, 6-3, 1-0
L#2 DoublesDouglas Brewer / William Allers vs Mark Bernazzani / Sebastian Llados Vila6-3, 6-0
L#3 DoublesBruce Baker / Frank Brown vs Kristopher Kobin / Wes Haas7-5, 6-1
2019-05-11Split 1–1
L#1 SinglesAlex McIntosh vs Liping Wang6-1, 2-6, 1-0
W#2 DoublesDouglas Brewer / Ryan Manwiller vs Mahesh Bhat / Matt Bolte6-4, 6-1
2019-05-05Split 1–1
W#1 SinglesAlex McIntosh vs Steven Darling6-3, 6-4
L#3 DoublesScott Hoyer / Jeff Ruby vs George Riley / Wes Schalk6-1, 6-1
2019-04-28Lost 1–3
W#1 SinglesRyan Manwiller vs Sebastien Michelet6-3, 6-2
L#2 DoublesDouglas Brewer / Jeff Ruby vs Carl McConnell / James Gillespie6-4, 6-4
L#2 SinglesAlex McIntosh vs Tom Tsuruta6-2, 6-1
L#3 DoublesRoger Swygart / Keith Westrum vs Steven Fain / Eric Freeman6-4, 6-2
2019-04-19Lost 1–3
L#1 SinglesAlex McIntosh vs Chris Bartlo6-3, 6-2
L#2 DoublesHoover Li / Jeff Ruby vs Tony Humpage / Stephen Mileham6-1, 6-4
W#2 SinglesRyan Manwiller vs Paul Kerkar4-6, 7-5, 1-0
L#3 DoublesFrank Brown / Douglas Brewer vs Raimund Grube / Dave Hall7-6, 6-1
2019-03-16Won 1–0
W#1 DoublesRyan Manwiller / Theresa Hagerty vs Doug Birch / Janet Mills7-5, 6-0
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.

3.5
Alex McIntosh
86W–75L career
0%96%4%
3.37
3.5
Ryan Manwiller
37W–27L career
not enough data
—
3
Frank Brown
115W–69L career
0%20%80%
3.21
3.5
William Allers
83W–67L career
7%93%0%
3.15
3.5
Hoover Li
61W–51L career
18%81%1%
3.12
3.5
Jeff Ruby
22W–43L career
35%65%0%
3.00
3
Keith Westrum
60W–52L career
2%97%1%
2.76

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.