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LOTC-Lavios/Monsantofils

2019 Adult 55 & Over · 8.0 Men

8 players · average NTRP 3.75 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.47 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.

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Alan Kaplan
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.72
Donald Pettitt
usually #1 Doubles 100% · published 4
3.67
John Major
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
3.48
Danny Denning
usually #2 Doubles 50%, also #1 Doubles 25% · published 4
3.42
Kevin Semonsen
usually #3 Doubles 67%, also #1 Doubles 17% · published 3.5
3.35
Tim Brink
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.33
Michael Lavios
usually #3 Doubles 100% · published 3.5
3.30
Rick Wong
usually #1 Doubles 40%, also #2 Doubles 40% · published 3.5
Results8 ties
2018-11-03Won 2–1
W#1 DoublesPeter Monsantofils / Donald Pettitt vs Vincent Scopacasa / Everett Frank6-3, 7-5
W#2 DoublesRick Wong / Danny Denning vs Mike Hammerschmith / Hugh Findlay6-4, 6-2
L#3 DoublesAlan Kaplan / Michael Lavios vs Alan Jones / Glenn Fisk6-4, 6-2
2018-10-28Lost 1–2
L#1 DoublesDonald Pettitt / Michael Ryan vs Kelly Small / Frank Olson1-6, 6-4, 1-0
W#2 DoublesPeter Monsantofils / Rick Wong vs Tony Khamsouk / George Young6-2, 6-2
L#3 DoublesMichael Lavios / Danny Denning vs Len Morales / Robert Ferek6-4, 6-4
2018-10-19Lost 1–2
L#1 DoublesMichael Ryan / Donald Pettitt vs Bob Simmons / Rodger DeGeorge7-5, 7-6
L#2 DoublesJohn Major / Peter Monsantofils vs Duc Hotan / Patrick Williams6-4, 7-5
W#3 DoublesSteve Elliott / Alan Kaplan vs Brady Berry / James Raleigh7-6, 4-6, 1-0
2018-10-05Won 3–0
W#1 DoublesTim Brink / Perry Sides vs William Berry / Lee Wiegand2-6, 6-3, 1-0
W#2 DoublesDanny Denning / John Major vs David Butts / Lance Campbell6-2, 6-2
W#3 DoublesMichael Lavios / Kevin Semonsen vs John Judge / Ron Reimers6-2, 6-2
2018-09-29Won 2–1
L#1 DoublesDonald Pettitt / Michael Ryan vs Scott Eliason / Kelly Small6-2, 6-3
W#2 DoublesTim Brink / Perry Sides vs Darryl Hough / Michael Moore5-7, 7-6, 1-0
W#3 DoublesKevin Semonsen / Alan Kaplan vs George Young / Len Morales6-4, 6-4
2018-09-23Lost 1–2
W#1 DoublesJohn Major / Michael Ryan vs Bob Simmons / Rodger DeGeorge4-6, 6-2, 1-0
L#2 DoublesAlan Kaplan / Steve Elliott vs Duc Hotan / Patrick Williams6-4, 3-6, 1-0
L#3 DoublesRick Wong / Joe Aholt vs Michael Didner / Brady Berry3-6, 0-1
2018-09-15Lost 0–2
L#1 DoublesRick Wong / Danny Denning vs Jonathan Barg / Donald Brenneman6-3, 6-2
L#3 DoublesMichael Lavios / Tim Brink vs Todd Eckelman / William Hergenhan7-5, 6-4
2018-09-08Split 1–1
W#1 DoublesDonald Pettitt / Rick Wong vs Jonathan Barg / David White7-6, 6-7, 1-0
L#3 DoublesPerry Sides / Michael Lavios vs Todd Eckelman / William Hergenhan7-5, 3-6, 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
Alan Kaplan
11W–13L career
not enough data
—
4
Donald Pettitt
43W–50L career
3%96%0%
3.72
4
John Major
9W–20L career
15%83%2%
3.67
4
Danny Denning
64W–77L career
37%63%0%
3.48
3.5
Kevin Semonsen
48W–44L career
0%91%9%
3.42
3.5
Tim Brink
43W–26L career · type A
3%85%12%
3.35
3.5
Michael Lavios
30W–56L career
2%89%8%
3.33
3.5
Rick Wong
51W–50L career
1%97%2%
3.30

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.