Teams

The Met - Magic

2022 HTA Spring NA - Mixed Doubles Sunday · 8.0

12 players · average NTRP 4.38 / TEXAS

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 →

Flight standings for 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 3.75 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.

Edgar Lopez
published 4.5
4.17
Chris Fuke
published 4.5
4.10
Elizabeth Ailles
published 4.5
3.73
3.72
Julia Busby
published
3.66
Kiley Lubojasky
published
3.53
Susan Paling
published
3.37
Kim Fuke
published
Jeffrey Kung
published
Karen Grisham
published
Larry Schmidt
published
Pam Diebner
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.

Kim Fuke + Chris Fuke21755% games−2.2% vs expected
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
Edgar Lopez
5W–7L career · no lines in 2022
not enough data
4.5
Chris Fuke
55W–44L career · no lines in 2022
9%90%1%
4.17
4.5
Elizabeth Ailles
7W–26L career · no lines in 2022
23%77%<1%
4.10
4
Esmeralda Sanchez
21W–24L career · no lines in 2022
4%94%2%
3.73
Julia Busby
14W–10L career · no lines in 2022
5%94%1%
3.72
Kiley Lubojasky
8W–9L career · no lines in 2022
11%88%<1%
3.66
Susan Paling
4W–7L career · no lines in 2022
40%60%<1%
3.53
Kim Fuke
57W–23L career · no lines in 2022
<1%84%16%
3.37
Jeffrey Kung
4W–5L career · no lines in 2022
not enough data
Karen Grisham
2W–1L career · no lines in 2022
not enough data
Larry Schmidt
2W–4L career · no lines in 2022
not enough data
Pam Diebner
7W–4L 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.