Teams

Allison

2022 Neb. Mixed 18&Over · 10.0 Mixed

8 players · average NTRP 4.75 / NEBRASKA

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 →
Schedule7 played
L#1 DoublesChaz Kuper / Jennifer Allison vs Christine Veitzer / Cedric Willems4-6, 4-6
L#2 DoublesNoel Hoig / Jennifer Allison vs Chad Malone / Marie Kapelevich3-6, 2-6
W#2 DoublesChaz Kuper / Sara McArdle vs Joshua Raymond / Jessica Tomlinson6-3, 3-6, 1-0
W#3 DoublesNoel Hoig / Maggie Albrecht vs Stefano Blatt / Morgan Brower4-6, 6-4, 1-0
L#1 DoublesEmily Behling / Noel Hoig vs Morgan Brower / Stefano Blatt3-6, 3-6
L#3 DoublesMaggie Albrecht / Noel Hoig vs Chad Malone / Christine Veitzer4-6, 4-6
L#1 DoublesChaz Kuper / Maggie Albrecht vs Jacqueline Baude / Chad Malone6-4, 3-6, 0-1
W#3 DoublesJennifer Allison / Noel Hoig vs Joshua Raymond / Christine Veitzer6-7, 7-5, 1-0
L#1 DoublesChaz Kuper / Jennifer Allison vs Bradley Entwistle / Marie Kapelevich6-4, 2-6, 0-1
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 10.0 Mixed 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 4.45 estimated across 5 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.

Chaz Kuper
usually #1 Doubles 75%, also #2 Doubles 25% · published 5
4.64
N'Nagniba N'Tcha
published
4.53
Sara McArdle
usually #2 Doubles 75%, also #3 Doubles 13% · published
4.47
Eamon Adamson
usually #2 Doubles 57%, also #1 Doubles 29% · published 4.5
4.46
Jennifer Allison
usually #2 Doubles 44%, also #1 Doubles 33% · published
4.13
Noel Hoig
usually #3 Doubles 60%, also #2 Doubles 20% · published
Emily Behling
usually #1 Doubles 50%, also #2 Doubles 40% · published
Maggie Albrecht
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.

Jennifer Allison + Noel Hoig5349% games+6.3% vs expected
Sara McArdle + Noel Hoig8749% games−4.5% vs expected
Sara McArdle + Eamon Adamson134 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.

5
Chaz Kuper
23W–23L career · 4 lines in 2022
not enough data
N'Nagniba N'Tcha
15W–4L career · no lines in 2022
15%85%<1%
4.64
Sara McArdle
69W–25L career · 8 lines in 2022
<1%40%60%
4.53
4.5
Eamon Adamson
38W–30L career · type A · 7 lines in 2022
<1%59%41%
4.47
Jennifer Allison
160W–50L career · 9 lines in 2022
<1%62%38%
4.46
Noel Hoig
77W–38L career · 5 lines in 2022
16%84%<1%
4.13
Emily Behling
21W–7L career · 10 lines in 2022
not enough data
Maggie Albrecht
3W–1L 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.