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SHC-Tracy

2023 Adult 40 & Over · 4.0 Men

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

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Scouting

Roster averages 3.43 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.

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Brad Socolofsky
usually #1 Doubles 67%, also #3 Doubles 33% · published 4
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Michael Cobb
usually #2 Doubles 50%, also #3 Doubles 25% · published 4
3.54
Jonathan Caplan
usually #3 Doubles 50%, also #2 Doubles 25% · published 4
3.53
Robert Gettle
usually #1 Doubles 46%, also #1 Singles 23% · published 3.5
3.42
Daniel Heck
usually #3 Doubles 67%, also #1 Doubles 33% · published 3.5
3.41
Don Ormsby
usually #1 Singles 71%, also #3 Doubles 14% · published 4
3.36
Eric Thompson
usually #1 Singles 50%, also #1 Doubles 25% · published 3.5
3.32
Jason Hyde
usually #3 Doubles 50%, also #2 Doubles 25% · published 3.5
Results8 ties
2023-06-16Split 1–1
W#1 DoublesJonathan Caplan / Don Ormsby vs Ahmad Garakani / Jason Dortch6-2, 7-5
L#1 SinglesRobert Gettle vs Jianxun Zhang6-1, 6-2
2023-06-10Won 3–0
W#1 DoublesBrad Socolofsky / Bill Christensen vs Kevin Muck / Michael Kazangian6-4, 6-3
W#1 SinglesRobert Gettle vs N/A6-0, 6-0
W#3 DoublesDon Ormsby / Eric Thompson vs Rymn Parsons / Aman Wasu6-1, 6-3
2023-06-04Lost 0–3
L#1 DoublesBill Christensen / Brad Socolofsky vs David Vant Hof / Marc DeSantis6-1, 6-2
L#1 SinglesEric Thompson vs Steve Eggerts6-0, 6-0
L#3 DoublesRobert Gettle / Jason Hyde vs Chris Collins / David Greenberg6-2, 6-2
2023-05-21Won 2–1
L#1 DoublesBrenner Daniels / Michael Cobb vs James Raleigh / Paritosh Saxena7-6, 3-6, 1-0
W#1 SinglesDon Ormsby vs Shawn Yu6-3, 6-0
W#3 DoublesJason Hyde / Jonathan Caplan vs N/A6-0, 6-0
2023-05-13Lost 1–3
L#1 DoublesBill Christensen / Jason Hyde vs Carlin Jackson / Tom King6-2, 6-1
W#1 SinglesDon Ormsby vs Sean Gay6-4, 6-2
L#2 DoublesMichael Cobb / Robert Gettle vs Jonathan Quon / Kevin Oloughlin7-5, 6-0
L#3 DoublesDaniel Heck / Eric Thompson vs Steve Carns / Craig Mills6-4, 6-4
2023-05-06Lost 1–3
L#1 DoublesMatt Brown / Eric Thompson vs Patrick Brewer / Ken Avenoso6-3, 7-6
L#1 SinglesDon Ormsby vs Brandon Gross6-4, 6-1
L#2 DoublesBill Christensen / Jason Hyde vs Eric Goldner / Seth Yount6-3, 7-5
W#3 DoublesDaniel Heck / Robert Gettle vs Eric Hickey / Rick Wong6-7, 7-5, 1-0
2023-04-23Lost 1–2
L#1 SinglesDon Ormsby vs Jianxun Zhang6-3, 6-0
L#2 DoublesJonathan Caplan / Brenner Daniels vs Vincent Lee / Ahmad Garakani6-1, 6-4
W#3 DoublesMichael Cobb / Robert Gettle vs N/A6-0, 6-0
2023-04-15Lost 1–3
L#1 DoublesDaniel Heck / Robert Gettle vs Brian McDonagh / Doug Post6-1, 6-4
L#1 SinglesDon Ormsby vs David Mittelstadt6-1, 7-5
L#2 DoublesMichael Cobb / Bill Christensen vs Patrick Herbst / Robert Torch6-3, 6-1
W#3 DoublesJonathan Caplan / Brad Socolofsky vs John Hall / Christopher Graham7-6, 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
Brad Socolofsky
15W–32L career
not enough data
—
4
Michael Cobb
36W–22L career
not enough data
—
4
Jonathan Caplan
37W–61L career
24%76%0%
3.54
3.5
Robert Gettle
78W–64L career
0%74%26%
3.53
3.5
Daniel Heck
12W–33L career
0%87%13%
3.42
4
Don Ormsby
21W–45L career
58%42%0%
3.41
3.5
Eric Thompson
36W–26L career
0%95%4%
3.36
3.5
Jason Hyde
53W–41L career
0%98%2%
3.32

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.