Teams

FXBG 8.0

2022 Fredericksburg Mixed 18 & Over · Fredericksburg Mixed 18 & Over 8.0

12 players · average NTRP 4.00 / VIRGINIA

View scouting list →
Schedule4 played
2022-03-13vs Smart Aces 8.0Won 21
W#1 DoublesQuentin Carter / Brita Robinson vs Nancy Siems / Jared Rowe6-3, 6-3
L#2 DoublesRomeo Cinco / Dorota Sipko vs Jason Gordon / Katie Leimbach2-6, 7-6, 0-1
W#3 DoublesTang Subkanha / Agnes Trice vs Edward Busse / Kim Gudyka6-3, 6-2
2022-02-13vs Smart Aces 8.0Won 10
W#1 DoublesJoseph Apodaca / Agnes Trice vs Q Pennings / Ariel Selwyn6-0, 7-5
2022-02-06vs FCCWon 10
W#1 DoublesAnita Wilson / Quentin Carter vs Alexandra Brewster / Brian McDermott6-3, 7-5
2022-01-27vs FCCWon 20
W#1 DoublesRomeo Cinco / Dorota Sipko vs Telly Salafia / John Reed6-3, 6-0
W#2 DoublesAgnes Trice / Owen Seely vs Marc Salafia / Maggie van Zandt6-3, 6-1
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 Fredericksburg Mixed 18 & Over 8.0 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 3.74 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.

4.05
Brita Robinson
published 4.5
3.94
Quentin Carter
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.89
Marie Taylor
published
3.85
David Todd
published 4
3.78
Owen Seely
published
3.66
Anita Wilson
published 4
3.63
Dremon Miller
published 4
3.54
Agnes Trice
usually #2 Doubles 33%, also #1 Doubles 33% · published 4
3.31
Dorota Sipko
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Susan Thompson
published
Tang Subkanha
published
Tracey Nankivel
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.

David Todd + Anita Wilson4163% games+18.6% vs expected
Agnes Trice + Quentin Carter213 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.

4.5
Brita Robinson
44W–35L career · no lines in 2022
34%66%<1%
4.05
4
Quentin Carter
203W–66L career · 5 lines in 2022
<1%67%33%
3.94
Marie Taylor
16W–18L career · no lines in 2022
80%20%<1%
3.89
4
David Todd
58W–28L career · no lines in 2022
<1%86%13%
3.85
Owen Seely
4W–4L career · no lines in 2022
2%94%5%
3.78
4
Anita Wilson
33W–41L career · no lines in 2022
11%89%<1%
3.66
4
Dremon Miller
4W–5L career · no lines in 2022
15%84%<1%
3.63
4
Agnes Trice
211W–131L career · 3 lines in 2022
36%64%<1%
3.54
3.5
Dorota Sipko
163W–91L career · 4 lines in 2022
1%92%7%
3.31
Susan Thompson
2W–2L career · no lines in 2022
not enough data
Tang Subkanha
0W–1L career · no lines in 2022
not enough data
Tracey Nankivel
4W–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.