Teams

Maier

2022 St. Marys Mixed 18 & Over · St. Marys Mixed 18 & Over 8.0

12 players · average NTRP 3.88 / MARYLAND

View scouting list →
Schedule8 played
2022-06-11vs PhungWon 10
W#3 DoublesJake Heibel / Kristina Lebron vs Jason Wynn / Rese Bergen6-4, 6-3
2022-05-10vs PhungLost 01
L#3 DoublesJake Heibel / Brandie Sparr vs Campbell Hawkins / Kristen Staley0-6, 1-6
2022-05-03vs PhungSplit 11
W#2 DoublesSusan Maier / Byron Dickerson vs Rese Bergen / Campbell Hawkins6-0, 6-0
L#3 DoublesGiap Nguyen / Brandie Sparr vs Nhi Phung / Clayton Coker4-6, 2-6
2022-04-23vs PhungWon 10
W#1 DoublesByron Dickerson / Carrie Anderson vs Clayton Coker / Marissa Romanek6-4, 6-2
2022-04-19vs PhungLost 01
L#2 DoublesTheodore Tiu / Kristina Lebron vs Jason Wynn / Marissa Romanek4-6, 5-7
2022-04-09vs PhungLost 02
L#1 DoublesJake Heibel / Brandie Sparr vs Kristen Staley / Clayton Coker1-6, 5-7
L#2 DoublesKristina Lebron / Todd Cervini vs Rese Bergen / Jason Wynn4-6, 1-6
2022-04-02vs PhungWon 10
W#2 DoublesSona Hussian / Byron Dickerson vs Rese Bergen / Campbell Hawkins6-0, 7-5
2022-03-29vs PhungWon 20
W#1 DoublesByron Dickerson / Sona Hussian vs Jason Wynn / Kristen Staley6-4, 6-2
W#3 DoublesTodd Cervini / Kristina Lebron vs Patrick Staley / LISA GRIMES2-6, 6-1, 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 St. Marys 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 3.63 estimated across 11 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.

3.80
J Harris
published 4
3.80
Byron Dickerson
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.75
Brandie Sparr
usually #1 Doubles 33%, also #2 Doubles 33% · published 4
3.66
Susan Maier
published
3.66
Andrew Hayes
published 4
3.64
Jake Heibel
published 4
3.63
Todd Cervini
published
3.63
Giap Nguyen
published 4
3.54
Joanne Connelly
published
3.50
Megan Gladwell
published
3.32
Kristina Lebron
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
Carrie Anderson
published 3.5
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
J Harris
6W–1L career · no lines in 2022
1%93%6%
3.80
4
Byron Dickerson
46W–31L career · type S · 4 lines in 2022
1%93%6%
3.80
4
Brandie Sparr
104W–102L career · 6 lines in 2022
3%95%3%
3.75
Susan Maier
14W–3L career · no lines in 2022
11%89%<1%
3.66
4
Andrew Hayes
1W–5L career · no lines in 2022
11%89%<1%
3.66
4
Jake Heibel
4W–3L career · no lines in 2022
14%85%<1%
3.64
Todd Cervini
5W–2L career · no lines in 2022
15%85%<1%
3.63
4
Giap Nguyen
2W–3L career · no lines in 2022
16%84%<1%
3.63
Joanne Connelly
2W–13L career · no lines in 2022
37%63%<1%
3.54
Megan Gladwell
1W–5L career · no lines in 2022
50%50%<1%
3.50
3.5
Kristina Lebron
63W–53L career · 4 lines in 2022
1%91%9%
3.32
3.5
Carrie Anderson
7W–5L 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.