Teams

UNIVERSITY CLUB PA 40AM4.0A

2025 ADULT 40&Over · Men's 4.0

19 players · average NTRP 3.88 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule1 played
2025-01-12vs BAY CLUB SANTA CLARA 40AM4.0CWon 10
W#1 DoublesDavid Cao / Shuchun Zhao vs Patrick Oakes / Robert Gosalvez3-6, 7-6, 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.

Flight standings for Men's 4.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.62 estimated across 16 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.

4.07
3.94
Mike Jawetz
published
3.89
Tom Brehme
published
3.85
Mahi DeSilva
published
3.81
Nathan Walker
published
3.80
Keith Koegler
published
Alain Boussard
published 4
3.69
Michael Kieschnick
published
3.63
Craig Jorasch
published 4
3.60
David Cao
usually #1 Doubles 100% · published 4
3.59
Steve Turnbull
published
3.56
Dinraj Shetty
published
3.46
Lawrence Garlick
published
3.40
Stephen French
published
3.39
David Parekh
published 3.5
3.14
Don Sung
published
3.12
Jeongsup Shim
published
Gregory Engel
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Keith Koegler + Michael Kieschnick2352% gamesnot enough data
Mike Jawetz + Michael Kieschnick314 matchesnot enough data
Steve Turnbull + Nathan Walker303 matchesnot enough data
Dinraj Shetty + David Cao303 matchesnot enough data
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. Lines played in this team’s season are shown beside each name.

Stephen Wullschleger
10W–5L career · no lines in 2025
32%68%<1%
4.07
Mike Jawetz
4W–5L career · no lines in 2025
<1%68%32%
3.94
Tom Brehme
13W–11L career · no lines in 2025
79%21%<1%
3.89
Mahi DeSilva
5W–3L career · no lines in 2025
1%85%14%
3.85
Nathan Walker
10W–14L career · no lines in 2025
1%90%8%
3.81
Keith Koegler
3W–7L career · no lines in 2025
1%90%8%
3.80
4
Alain Boussard
0W–2L career · type S · no lines in 2025
not enough data
Michael Kieschnick
12W–10L career · no lines in 2025
9%90%1%
3.69
4
Craig Jorasch
2W–9L career · no lines in 2025
17%82%<1%
3.63
4
David Cao
13W–18L career · 1 line in 2025
24%76%<1%
3.60
Steve Turnbull
4W–8L career · no lines in 2025
26%74%<1%
3.59
Dinraj Shetty
6W–11L career · no lines in 2025
32%68%<1%
3.56
Lawrence Garlick
3W–6L career · no lines in 2025
62%38%<1%
3.46
Stephen French
5W–7L career · no lines in 2025
<1%75%24%
3.40
3.5
David Parekh
50W–48L career · no lines in 2025
<1%77%22%
3.39
Don Sung
1W–25L career · no lines in 2025
15%84%1%
3.14
Jeongsup Shim
6W–15L career · no lines in 2025
20%80%<1%
3.12
Erik Murphy-Chutorian
0W–3L career · no lines in 2025
not enough data
Gregory Engel
0W–3L career · no lines in 2025
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.