Teams

RCCB - Simmons

2022 Brevard Mixed 55 & Over · 7.0

8 players · average NTRP 3.75 / REGION_4

View scouting list →
Schedule8 played
2022-10-21vs Sarno - BonvillainWon 10
W#3 DoublesThomas Armstrong / Xu Sue Huang vs Janis Mena / Jim Tulloch6-4, 6-2
2022-10-14Won 20
W#2 DoublesRichard Flerra / Susan Hall vs Carol Whalen / Barry Whalen6-3, 6-2
W#3 DoublesJames Clemens / Carol Baggett vs N/A6-0, 6-0
2022-10-07vs Sarno - BonvillainWon 10
W#1 DoublesThomas Armstrong / Cynthia Simmons vs Julia Tulloch / Jim Tulloch6-2, 6-3
2022-09-23vs TTC - WhalenWon 10
W#2 DoublesThomas Armstrong / Cynthia Simmons vs Barry Whalen / Susan Wilkes6-0, 7-6
2022-09-16vs Brevard - Kiwanis - SantanaSplit 11
L#2 DoublesCynthia Simmons / Thomas Armstrong vs Gisela Alcalde / Kevin Landress4-6, 0-6
W#3 DoublesRichard Flerra / Nancy Aumuller vs Carol Becker / Santana Luis2-6, 6-4, 1-0
2022-09-02vs TTC - WhalenWon 10
W#2 DoublesThomas Armstrong / Cynthia Simmons vs Donald Small / Susan Wilkes6-3, 6-4
2022-08-31vs Sarno - BonvillainWon 20
W#1 DoublesCynthia Simmons / Thomas Armstrong vs Jane Bonvillain / Nick Bonvillain6-0, 6-4
W#2 DoublesCarol Baggett / James Clemens vs Janis Mena / Michael Keene6-2, 6-3
2022-08-19vs Brevard - Kiwanis - SantanaWon 10
W#3 DoublesSusan Hall / Richard Flerra vs Carol Becker / Santana Luis6-4, 6-7, 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 7.0 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 3.18 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.

3.58
Carol Baggett
usually #2 Doubles 50%, also #3 Doubles 50% · published 4
3.31
Sylvia Segura
published
3.21
Cynthia Simmons
published 3.5
3.12
Xu Sue Huang
published
2.97
Thomas Armstrong
usually #2 Doubles 50%, also #1 Doubles 33% · published
2.90
Van Reynolds
published
Kim Viesins
published
Richard Flerra
usually #3 Doubles 67%, also #2 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.

Richard Flerra + Carol Baggett314 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
Carol Baggett
52W–57L career · 2 lines in 2022
28%72%<1%
3.58
Sylvia Segura
18W–24L career · no lines in 2022
1%92%7%
3.31
3.5
Cynthia Simmons
10W–11L career · no lines in 2022
5%94%1%
3.21
Xu Sue Huang
1W–4L career · no lines in 2022
17%83%<1%
3.12
Thomas Armstrong
66W–79L career · 6 lines in 2022
<1%60%40%
2.97
Van Reynolds
1W–2L career · no lines in 2022
79%21%<1%
2.90
Kim Viesins
1W–2L career · no lines in 2022
not enough data
Richard Flerra
25W–54L 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.