Teams

HANSEN 8.0 MXD EARLY START

2022 MIXED 18 & OVER EARLY START · 8.0 MX

14 players · average NTRP 4.07 / NORTHERN

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 →
Schedule3 played
2021-11-14vs Ormsbee 8.0 FallLost 01
L#2 DoublesDana Hansen / Alejandro Trevino vs Becky Cantellano / Craig Ballentine6-4, 3-6, 1-0
2021-11-07vs Ewen/Fall2022Lost 01
L#3 DoublesDana Hansen / Alejandro Trevino vs Emily Walz Lockhart / Scott Holm2-6, 7-6, 0-1
2021-10-24vs REILING-STOUT Mixed Early StartLost 01
L#3 DoublesAlejandro Trevino / Beci Bjornson vs Kevin Hilpert / Kristin Nesseth6-2, 1-6, 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 8.0 MX 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 3.84 estimated across 10 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.

4.29
Brandon Vaughn
published 4.5
4.16
Beci Bjornson
published 4.5
4.14
Dana Hansen
published 4.5
3.98
Noelle Dougan
published
3.93
Nicole Lechner
published
3.86
Elizabeth Gould
published 4
3.82
Virginia Kuberski
published
3.77
3.25
Craig Kuberski
published 3.5
3.18
Alejandro Trevino
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
Jeffrey Moe
published
Joseph Early
published
Noah Lipschultz
published
Roshan Rajkumar
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.

Virginia Kuberski + Jeffrey Moe2346% gamesnot enough data
Virginia Kuberski + Craig Kuberski123 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
Brandon Vaughn
9W–8L career · no lines in 2022
1%93%6%
4.29
4.5
Beci Bjornson
17W–21L career · no lines in 2022
10%89%<1%
4.16
4.5
Dana Hansen
7W–10L career · no lines in 2022
14%86%<1%
4.14
Noelle Dougan
25W–45L career · no lines in 2022
55%45%<1%
3.98
Nicole Lechner
46W–16L career · no lines in 2022
<1%70%30%
3.93
4
Elizabeth Gould
14W–5L career · no lines in 2022
<1%86%14%
3.86
Virginia Kuberski
68W–44L career · no lines in 2022
1%91%8%
3.82
4
Alison Blackowiak
14W–12L career · no lines in 2022
2%94%4%
3.77
3.5
Craig Kuberski
20W–28L career · no lines in 2022
3%95%3%
3.25
3.5
Alejandro Trevino
221W–280L career · 9 lines in 2022
9%91%1%
3.18
Jeffrey Moe
14W–17L career · no lines in 2022
not enough data
Joseph Early
1W–1L career · no lines in 2022
not enough data
Noah Lipschultz
4W–0L career · no lines in 2022
not enough data
Roshan Rajkumar
0W–2L 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.