Teams

SAZ Brian Ravesloot-18+

Adult 18 & OVER LEAGUE · 5.0 Men's

7 players · average NTRP 4.83 / SOUTHERN ARIZONA

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 →
Schedule4 played
2022-05-21vs RTCWon 10
W#1 DoublesJason Dickinson / Chuck Tang vs Karthik Chandrasekaran / Douglas Marsh6-1, 6-4
2022-05-14vs RTCWon 20
W#1 DoublesChuck Tang / Yao-Jan Wu vs Jackson Lee / Luke Kauffman6-4, 7-5
W#2 DoublesBrian Ravesloot / Greg Desilva vs Karthik Chandrasekaran / Marc Avalos6-4, 6-3
2022-04-30vs RTCWon 30
W#1 DoublesBrian Ravesloot / Marek Dubovec vs Jackson Lee / Marc Avalos6-3, 6-4
W#1 SinglesDavid Fink vs Luke Kauffman6-2, 6-3
W#2 DoublesJason Dickinson / Yao-Jan Wu vs Karthik Chandrasekaran / Douglas Marsh6-1, 7-5
2022-04-16vs RTCWon 21
L#1 DoublesBrian Ravesloot / Marek Dubovec vs Marc Avalos / Jackson Lee4-6, 4-6
W#1 SinglesDavid Fink vs Luke Kauffman6-7, 6-4, 1-0
W#2 DoublesJason Dickinson / Greg Desilva vs Karthik Chandrasekaran / Douglas Marsh6-4, 6-4
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 standings2 teams · 5.0 Men's
TeamWLInd. WInd. LSets lostGames lost
1SAZ Brian Ravesloot-18+40102582
2RTC0421020131

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 4.51 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.

4.86
David Fink
usually #1 Singles 100% · published 5
4.60
Brian Ravesloot
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.48
Marek Dubovec
usually #1 Doubles 100% · published
4.43
Greg Desilva
usually #2 Doubles 100% · published 4.5
4.41
Yao-Jan Wu
usually #1 Doubles 50%, also #2 Doubles 50% · published
4.28
Jason Dickinson
usually #2 Doubles 67%, also #1 Doubles 33% · published
Chuck Tang
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.

Greg Desilva + Yao-Jan Wu6361% games+6.3% vs expected
Brian Ravesloot + Greg Desilva3354% games+2.4% vs expected
Greg Desilva + Jason Dickinson11258% games−3.1% vs expected
Brian Ravesloot + Marek Dubovec4451% games−10.1% vs expected
Brian Ravesloot + Yao-Jan Wu3350% gamesnot enough data
Brian Ravesloot + Jason Dickinson224 matchesnot enough data
Yao-Jan Wu + Jason Dickinson123 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.

5
David Fink
46W–2L career · 2 lines in 2022
<1%86%14%
4.86
5
Brian Ravesloot
38W–28L career · 3 lines in 2022
23%77%<1%
4.60
Marek Dubovec
31W–25L career · 2 lines in 2022
55%45%<1%
4.48
4.5
Greg Desilva
86W–44L career · 2 lines in 2022
<1%70%30%
4.43
Yao-Jan Wu
15W–12L career · 2 lines in 2022
<1%76%24%
4.41
Jason Dickinson
42W–17L career · 3 lines in 2022
1%94%5%
4.28
Chuck Tang
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.