Teams

RCC BLUE

2023 USTA MIXED 40 & OVER - DEN · MIXED 7.0 - 40 & OVER

11 players · average NTRP 3.30 / COLORADO

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 →
Schedule5 played
2023-06-25vs MEA GREENWon 10
W#2 DoublesNancy Beaton / Werner Taljaard vs Brian Knott / Christine Belin6-1, 6-2
2023-06-18vs BRMST BLUEWon 10
W#1 DoublesNancy Beaton / Thomas Quinn vs Ann Ipsen / David Ipsen6-3, 6-4
2023-06-11vs NJ ORANGELost 02
L#1 DoublesWerner Taljaard / Tonya Johnson vs Sue Curtin / Thomas DelaFuente4-6, 7-6, 1-0
L#2 DoublesCindy Ronlov / Thomas Quinn vs Kelly Ruybal / Kris Kirby7-6, 2-6, 0-1
2023-06-04vs MEA GREENLost 01
L#2 DoublesCindy Ronlov / Werner Taljaard vs Brian Knott / Gia Medeiros2-6, 5-7
2023-05-28vs BRMST BLUEWon 20
W#1 DoublesJohn Subry / Nancy Beaton vs John Post / Sarah Post6-1, 6-0
W#3 DoublesJohn Stegner / Cindy Ronlov vs N/A6-0, 6-0
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 MIXED 7.0 - 40 & OVER 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 3.31 estimated across 9 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
Philip Wang
published
3.56
Nancy Beaton
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.53
Werner Taljaard
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.31
Thomas Quinn
published
3.23
Tonya Johnson
published
3.12
John Subry
published
3.12
Cindy Ronlov
usually #2 Doubles 67%, also #3 Doubles 33% · published 3.5
3.06
Pamela Subry
published
3.04
Anne Elliott
usually #3 Doubles 71%, also #2 Doubles 29% · published 3
Cheryl Suss
published 3
John Stegner
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.

John Subry + Pamela Subry1438% 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.

Philip Wang
12W–9L career · no lines in 2023
2%92%6%
3.79
3.5
Nancy Beaton
61W–34L career · 3 lines in 2023
<1%34%66%
3.56
3.5
Werner Taljaard
65W–28L career · 3 lines in 2023
<1%42%58%
3.53
Thomas Quinn
19W–25L career · no lines in 2023
1%90%9%
3.31
Tonya Johnson
23W–20L career · no lines in 2023
5%92%3%
3.23
John Subry
5W–10L career · no lines in 2023
19%81%<1%
3.12
3.5
Cindy Ronlov
112W–72L career · 3 lines in 2023
20%80%<1%
3.12
Pamela Subry
1W–7L career · no lines in 2023
33%67%<1%
3.06
3
Anne Elliott
22W–12L career · 7 lines in 2023
<1%39%61%
3.04
3
Cheryl Suss
0W–1L career · type S · no lines in 2023
not enough data
John Stegner
2W–0L career · no lines in 2023
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.