Teams

VTC-Gaylor/Hamlik

2019 Mixed 40 & Over · 7.0 Mixed

11 players · average NTRP 3.56 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.32 estimated across 5 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.

3.71
Nenette Olson
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
3.66
Dean Gaylor
usually #1 Doubles 33%, also #3 Doubles 33% · published 4
3.33
Andy LaFrazia
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Denise Dawkins
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
Jim Hamlik
usually #1 Doubles 50%, also #2 Doubles 25% · published 3.5
Kim Hamlik
usually #1 Doubles 100% · published 3.5
Tammy LaFrazia
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.18
Kelley Gaylor
usually #1 Doubles 33%, also #3 Doubles 33% · published 3.5
2.70
Mike Olson
usually #3 Doubles 38%, also #1 Doubles 38% · published 3
Kurt Rylander
usually #1 Doubles 67%, also #3 Doubles 33% · published 0
Mark Dawkins
usually #2 Doubles 67%, also #3 Doubles 33% · published 0
Results8 ties
2019-03-03Lost 12
L#1 DoublesJim Hamlik / Susan Agee vs Kirk Planck / Carla Wheeler6-4, 6-3
W#2 DoublesAndy LaFrazia / Tammy LaFrazia vs Jinquan Wu / William Wang4-6, 6-4, 1-0
L#3 DoublesKurt Rylander / Suzy Rylander vs Lisa Shantley / Larry Hermida6-1, 6-0
2019-03-02Lost 02
L#1 DoublesSuzy Rylander / Kurt Rylander vs John Yu / Vivian Nguyen7-6, 2-6, 1-0
L#2 DoublesTammy LaFrazia / Andy LaFrazia vs NANDA SIDDAIAH / Diana Blebea6-4, 3-6, 1-0
2019-02-24Split 11
L#1 DoublesMike Olson / Nenette Olson vs Holly Kanz / John Kin6-4, 6-2
W#3 DoublesSusan Agee / Jim Hamlik vs Joy Meyers / Henry Kofron7-6, 6-2
2019-02-23Won 21
L#1 DoublesMike Olson / Nenette Olson vs Rich Rice / JANE LENG6-1, 6-1
W#2 DoublesKelley Gaylor / Dean Gaylor vs Jeff Lipke / Toni Eastwood6-4, 6-4
W#3 DoublesTammy LaFrazia / Andy LaFrazia vs Sam Aiello / Hildie Oliver6-3, 1-6, 1-0
2019-02-22Split 11
L#2 DoublesSusan Agee / Jim Hamlik vs Kristi Vargas / Frank Brown7-6, 5-7, 1-0
W#3 DoublesDenise Dawkins / Mark Dawkins vs Nora Semonsen / Calvin Chen6-0, 6-2
2019-02-16Lost 12
L#1 DoublesKim Hamlik / Jim Hamlik vs Brad Ouderkirk / Trina Newcomb - *6-1, 6-2
L#2 DoublesDenise Dawkins / Mark Dawkins vs Gina Ossanna / Peter Singson3-6, 6-4, 1-0
W#3 DoublesMike Olson / Nenette Olson vs N/A6-0, 6-0
2019-01-20Split 11
L#1 DoublesKurt Rylander / Suzy Rylander vs Barb Lipscomb / Jerry Bartel6-3, 6-3
W#3 DoublesKelley Gaylor / Dean Gaylor vs Lori Zoborowski / Rand Zoborowski6-2, 6-4
2019-01-06Lost 03
L#1 DoublesDean Gaylor / Kelley Gaylor vs Cassia Carpio / Neerav Shah6-2, 6-2
L#2 DoublesDenise Dawkins / Mark Dawkins vs Michael Kim / Seungja Shin7-5, 6-7, 1-0
L#3 DoublesMike Olson / Nenette Olson vs Boon Yon Joung / Hoon Shin6-4, 6-2
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
Nenette Olson
122W–164L career
2%98%0%
3.71
4
Dean Gaylor
88W–63L career
12%88%1%
3.66
3.5
Andy LaFrazia
65W–34L career
4%86%10%
3.33
3.5
Denise Dawkins
59W–54L career
not enough data
3.5
Jim Hamlik
33W–46L career
not enough data
3.5
Kim Hamlik
24W–44L career
not enough data
3.5
Tammy LaFrazia
44W–25L career
not enough data
3.5
Kelley Gaylor
68W–64L career
10%89%1%
3.18
3
Mike Olson
68W–92L career
7%92%1%
2.70
0
Kurt Rylander
11W–23L career
not enough data
0
Mark Dawkins
24W–15L 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.