Teams

SSC Weitzel

2022 Sarasota Combo 18 & Over Summer Weekday · 7.5 M Tuesday

14 players · average NTRP 3.75 / REGION_5

View scouting list →
Schedule5 played
2022-08-23Won 10
W#3 DoublesNader Massoumi / Nate Macksey vs N/A6-0, 6-0
2022-08-18vs Laurel Oak RosenbergWon 10
W#1 DoublesNate Macksey / Marc Solomon vs Dave Barcomb / David Rosenberg7-5, 6-7, 1-0
2022-08-16vs Laurel Oak RosenbergLost 01
L#1 DoublesNate Macksey / Nader Massoumi vs Dale Slimick / Bradley Sutter4-6, 3-6
2022-08-09vs Laurel Oak RosenbergSplit 11
W#1 DoublesBarney Akierman / Nate Macksey vs David Rosenberg / Kenneth Schwartz6-3, 6-0
L#2 DoublesCliff Menezes / Peter Laughlin vs Dale Slimick / Bradley Sutter2-6, 3-6
2022-07-12vs Laurel Oak RosenbergLost 01
L#3 DoublesScott Temple / Peter Laughlin vs David Rosenberg / Dale Slimick5-7, 3-6
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 7.5 M Tuesday 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 11 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.

3.92
Nate Macksey
usually #1 Doubles 75%, also #3 Doubles 25% · published
3.82
Barney Akierman
published 4
3.80
Jim Fiumefreddo
published
3.78
Gustavo Risquez
published 4
3.72
Peter Laughlin
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.69
Marc Solomon
published
3.68
Eric Abbott
published 4
3.60
RON NOURSE
published
3.57
Nader Massoumi
published
3.31
Scott Temple
published
2.94
Cyndi Weitzel
published 3
Lance Schilling
published
Robin Klein
published
Tim Mihm
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.

Peter Laughlin + Gustavo Risquez2450% gamesnot 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.

Nate Macksey
70W–38L career · 4 lines in 2022
<1%73%27%
3.92
4
Barney Akierman
20W–8L career · no lines in 2022
1%91%8%
3.82
Jim Fiumefreddo
9W–0L career · no lines in 2022
1%93%6%
3.80
4
Gustavo Risquez
206W–175L career · no lines in 2022
2%94%4%
3.78
Peter Laughlin
76W–44L career · 2 lines in 2022
4%94%2%
3.72
Marc Solomon
9W–6L career · no lines in 2022
<1%7%93%
3.69
4
Eric Abbott
11W–4L career · no lines in 2022
9%91%1%
3.68
RON NOURSE
4W–9L career · no lines in 2022
23%77%<1%
3.60
Nader Massoumi
4W–4L career · no lines in 2022
30%70%<1%
3.57
Scott Temple
7W–9L career · no lines in 2022
1%92%8%
3.31
3
Cyndi Weitzel
73W–73L career · no lines in 2022
<1%67%33%
2.94
Lance Schilling
1W–1L career · no lines in 2022
not enough data
Robin Klein
3W–2L career · no lines in 2022
not enough data
Tim Mihm
2W–0L career · no lines in 2022
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.