Teams

Smart Aces TL

2022 Fredericksburg Tri-Level Mixed · Fredericksburg Tri-Level Mixed 4.0,3.5,3.0

10 players · average NTRP 3.25 / VIRGINIA

View scouting list →
Schedule3 played
2022-09-26vs Dominators MXWon 10
W#2 DoublesChris Baylor / Marla Aste vs Sabra Szczyglowski / Mani Dakshina6-2, 6-0
2022-09-03Won 10
W#2 DoublesMarla Aste / Chris Baylor vs Wai Lim Tse / Elaine Brissette6-2, 6-4
2022-08-27vs FCCWon 10
W#2 DoublesEdward Busse / Marla Aste vs Joseph Conti / Telly Salafia5-7, 6-3, 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 Fredericksburg Tri-Level Mixed 4.0,3.5,3.0 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 3.42 estimated across 7 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.

3.60
Jason Gordon
published
3.53
Marla Aste
usually #2 Doubles 100% · published 3.5
3.52
Maurice Cornejo
published
3.46
Q Pennings
published
3.36
Nikki Hyldahl
published
3.27
Lorrie Roberts
published
3.25
Edward Busse
published 3.5
Carlene Gordon
published 3
Dale Kadlec
published 3
Nancy Siems
published
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.

Jason Gordon
14W–11L career · no lines in 2022
23%77%<1%
3.60
3.5
Marla Aste
83W–36L career · 3 lines in 2022
<1%42%58%
3.53
Maurice Cornejo
4W–12L career · no lines in 2022
43%57%<1%
3.52
Q Pennings
6W–2L career · no lines in 2022
62%38%<1%
3.46
Nikki Hyldahl
2W–2L career · no lines in 2022
<1%86%14%
3.36
Lorrie Roberts
2W–2L career · no lines in 2022
2%94%4%
3.27
3.5
Edward Busse
1W–5L career · no lines in 2022
3%95%3%
3.25
3
Carlene Gordon
1W–0L career · no lines in 2022
not enough data
3
Dale Kadlec
0W–2L career · no lines in 2022
not enough data
Nancy Siems
7W–6L 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.