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Charb-Mills/Valenzuela

2022 Adult 40 & Over · 4.0 Men

8 players · average NTRP 3.71 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.57 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.

3.77
Carlin Jackson
usually #1 Doubles 67%, also #3 Doubles 22% · published 4
3.68
Lance Berkey
usually #1 Doubles 50%, also #2 Doubles 33% · published 4
3.62
Howard Jaffe
usually #1 Singles 50%, also #1 Doubles 33% · published 4
3.47
Tom Lonergan
usually #1 Singles 80%, also #2 Doubles 20% · published 3.5
3.45
Anthony Valenzuela
usually #2 Doubles 50%, also #3 Doubles 33% · published 3.5
3.42
Craig Mills
published 3.5
—
Steve Carns
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
—
Albert Hensley
usually #3 Doubles 100% · published 0
Results8 ties
2022-06-12Won 3–0
W#1 DoublesCarlin Jackson / Lance Berkey vs Vimal Natarajan / Mitchell Whitehurst6-3, 6-3
W#1 SinglesTom Lonergan vs Stephen Marsh6-1, 6-2
W#3 DoublesAnthony Valenzuela / Albert Hensley vs N/A6-0, 6-0
2022-06-04Split 1–1
W#1 DoublesCarlin Jackson / Lance Berkey vs Kurt Bethman / John Christiaan7-5, 6-3
L#1 SinglesHoward Jaffe vs Ross Williams4-6, 6-4, 1-0
2022-05-22Lost 1–2
L#1 DoublesSteve Carns / Howard Jaffe vs Mark Tryon / Zachary Kinavey6-3, 6-4
W#1 SinglesTom Lonergan vs Adam Brundage6-1, 6-3
L#2 DoublesPaul Garry / Anthony Valenzuela vs Rich Rice / Paul Stutzman7-6, 6-3
2022-05-15Lost 0–4
L#1 DoublesCarlin Jackson / Ken Crowley vs Chris Thoman / Robert Torch6-3, 6-1
L#1 SinglesHoward Jaffe vs David Mittelstadt6-1, 6-1
L#2 DoublesSteve Carns / Tom Lonergan vs Thomas Turnbull / James Ringelberg4-6, 6-2, 1-0
L#3 DoublesKevin Oloughlin / Anthony Valenzuela vs Brian McDonagh / David Hill6-3, 7-5
2022-04-23Split 2–2
L#1 DoublesKen Crowley / Carlin Jackson vs Deepak Selvanathan / Jason Cyr6-4, 6-3
W#1 SinglesTom Lonergan vs Vimal Natarajan6-2, 7-5
W#2 DoublesLance Berkey / Howard Jaffe vs Ajay Kumar Tippisetti / Mitchell Whitehurst6-4, 6-2
L#3 DoublesSteve Carns / Paul Garry vs Neerav Shah / Brady Berry6-2, 6-3
2022-04-16Lost 0–2
L#1 DoublesAnthony Valenzuela / Carlin Jackson vs Marcus Kroloff / Matthew Trank6-4, 6-4
L#1 SinglesHoward Jaffe vs Hector M Salomon6-3, 7-6
2022-04-15Lost 1–2
W#1 DoublesKen Crowley / Howard Jaffe vs Donald Pettitt / Rick Wong6-2, 3-6, 1-0
L#2 DoublesAnthony Valenzuela / John Auer vs Tod Johnston / Jonathan Eames6-2, 6-2
L#3 DoublesAlbert Hensley / Kevin Oloughlin vs Quanwang Wei / John Barnes6-1, 6-2
2022-04-09Lost 1–2
W#1 DoublesCarlin Jackson / Lance Berkey vs Jono Neher / Cristian Crisan6-3, 6-7, 1-0
L#1 SinglesTom Lonergan vs David Richardson6-0, 7-5
L#2 DoublesAnthony Valenzuela / Steve Carns vs John Christiaan / Scott Eliason7-6, 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.

4
Carlin Jackson
134W–66L career
0%99%0%
3.77
4
Lance Berkey
59W–40L career
3%97%0%
3.68
4
Howard Jaffe
23W–29L career · type S
16%84%0%
3.62
3.5
Tom Lonergan
104W–99L career
0%87%13%
3.47
3.5
Anthony Valenzuela
37W–64L career
0%88%12%
3.45
3.5
Craig Mills
58W–89L career
0%91%9%
3.42
3.5
Steve Carns
36W–46L career · type A
not enough data
—
0
Albert Hensley
29W–44L 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.