Teams

Moskovitz (Royal Palm)

2022 Miami-Dade Combo 50 & Over · 7.5 Men

10 players · average NTRP 3.60 / REGION_8

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Schedule6 played
2022-08-17vs Lopez (Riviera Prep)Lost 01
L#1 DoublesRaul Moskovitz / David Elkins vs Neil Bazain / Richard Mangas6-2, 2-3
2022-08-04vs Miami-Dade/PomarWon 10
W#3 DoublesStephen Rigl / John Sullivan vs Navzor Balsara / Scott Sime7-5, 3-6, 1-0
2022-07-13Lost 01
L#1 DoublesStephen Rigl / Eduardo Thompson vs Roger Riddlemoser / Gustavo Alvarez4-6, 3-6
2022-07-06vs Lopez (Riviera Prep)Split 11
L#1 DoublesRaul Moskovitz / Andrew Herron vs Carlos Lopez / Andrew Hunt2-6, 2-6
W#2 DoublesDouglas Shapiro / Javier Siu vs Neil Bazain / Gregory Joseph4-6, 6-4, 1-0
2022-06-22vs Miami-Dade/PomarSplit 11
L#2 DoublesJavier Siu / Raul Moskovitz vs Jorge Alberto Rodriguez / Scott Sime3-6, 1-6
W#3 DoublesStephen Rigl / Eduardo Thompson vs Ignacio Villar / Juan Pomar6-0, 2-6, 1-0
2022-06-15vs Lopez (Riviera Prep)Lost 01
L#3 DoublesRaul Moskovitz / Douglas Shapiro vs Gregory Joseph / Carlos Serrano2-6, 2-6
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 Men 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 3.26 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.

3.79
David Elkins
published 4
Gregg Schwartz
published 4
3.48
Javier Siu
usually #2 Doubles 100% · published
3.28
Eduardo Thompson
published 3.5
3.02
Bruce Hornik
published 3.5
2.73
Douglas Shapiro
published 3
John Sullivan
published
Peter Rood
published
Raul Moskovitz
usually #1 Doubles 50%, also #3 Doubles 25% · published
Stephen Rigl
usually #3 Doubles 67%, also #1 Doubles 33% · 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.

Javier Siu + Stephen Rigl31438% gamesnot enough data
Javier Siu + Douglas Shapiro134 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.

4
David Elkins
15W–9L career · no lines in 2022
1%93%6%
3.79
4
Gregg Schwartz
1W–1L career · type S · no lines in 2022
not enough data
Javier Siu
65W–114L career · 2 lines in 2022
56%44%<1%
3.48
3.5
Eduardo Thompson
3W–3L career · no lines in 2022
2%94%4%
3.28
3.5
Bruce Hornik
2W–1L career · no lines in 2022
45%55%<1%
3.02
3
Douglas Shapiro
3W–5L career · no lines in 2022
4%94%2%
2.73
John Sullivan
2W–5L career · no lines in 2022
not enough data
Peter Rood
5W–10L career · no lines in 2022
not enough data
Raul Moskovitz
29W–60L career · 4 lines in 2022
not enough data
Stephen Rigl
43W–97L career · 3 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.