Teams

JMu (Queens)

2023 Mixed Doubles 18 & Over League · 18 & Over Mixed 7.0 - Mon PM

8 players · average NTRP 3.40 / NORTH CAROLINA

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Schedule3 played
2023-07-31vs KCronin/AFink (Piper Glen)Lost 01
L#1 DoublesAnita Matai / Carter Connelly vs Katie Cronin / Fred Murchison5-7, 2-6
2023-07-10vs JMorse (Queens)Won 10
W#1 DoublesPerry SIlver / Anita Matai vs Cathy Cagney / Austin Grabowski6-4, 6-7, 1-0
2023-06-20vs KCronin/AFink (Piper Glen)Lost 01
L#2 DoublesAnita Matai / Tarit Mondal vs Sheila Passenant / Adam Webb1-6, 1-6
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 18 & Over Mixed 7.0 - Mon PM 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 3.15 estimated across 6 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.

3.98
Carter Connelly
published 4
3.29
Danison Robinson
published 3.5
3.07
ANGELA BOREK
published 3.5
2.97
Anita Matai
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.87
Joyce Mu
published
2.74
Allie Doub
published 3
Kelley Conrad
published
Roy Ojiligwe
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.

4
Carter Connelly
17W–4L career · type S · no lines in 2023
<1%55%45%
3.98
3.5
Danison Robinson
2W–7L career · type S · no lines in 2023
2%91%7%
3.29
3.5
ANGELA BOREK
0W–5L career · no lines in 2023
32%68%<1%
3.07
3
Anita Matai
53W–47L career · 3 lines in 2023
<1%58%42%
2.97
Joyce Mu
2W–4L career · no lines in 2023
<1%82%17%
2.87
3
Allie Doub
3W–2L career · no lines in 2023
4%93%3%
2.74
Kelley Conrad
24W–21L career · no lines in 2023
not enough data
Roy Ojiligwe
2W–3L career · no lines in 2023
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.