Teams

KY/LOU/BONE

2022 USTA MIXED 40 & Over · 7.0 ADULT MIXED

17 players · average NTRP 3.25 / KENTUCKY

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 7.0 ADULT 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 3.13 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.

3.58
Jinjia Li
published
3.43
Olga Snyder
published
3.34
Changbing Hu
published 3.5
3.33
Soojung Jung
published
Doug Bone
published 3.5
Ethan Wang
published 3.5
3.08
Rick Raby
published
3.04
Mei Dai
published
2.98
Susan Gunn
published
2.89
Michael Settles
published
2.89
Jessica Bethards
published
AMI SELIGMAN
published 3
Donna Bone
published 3
2.68
Dena Farris
published 3
Janit Shannon
published
Jeff Woods
published
Lee Ann Wilson
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.

Mei Dai + Changbing Hu7457% games+1.9% vs expected
Doug Bone + Donna Bone0732% gamesnot enough data
Olga Snyder + Changbing Hu404 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.

Jinjia Li
17W–23L career · no lines in 2022
26%74%<1%
3.58
Olga Snyder
50W–38L career · no lines in 2022
<1%70%30%
3.43
3.5
Changbing Hu
53W–39L career · no lines in 2022
<1%88%11%
3.34
Soojung Jung
33W–30L career · no lines in 2022
1%90%9%
3.33
3.5
Doug Bone
12W–36L career · no lines in 2022
not enough data
3.5
Ethan Wang
2W–11L career · no lines in 2022
not enough data
Rick Raby
8W–8L career · no lines in 2022
27%73%<1%
3.08
Mei Dai
43W–68L career · no lines in 2022
37%63%<1%
3.04
Susan Gunn
14W–31L career · no lines in 2022
55%45%<1%
2.98
Michael Settles
18W–14L career · no lines in 2022
<1%79%21%
2.89
Jessica Bethards
36W–40L career · no lines in 2022
<1%80%20%
2.89
3
AMI SELIGMAN
2W–6L career · no lines in 2022
not enough data
3
Donna Bone
2W–13L career · no lines in 2022
not enough data
3
Dena Farris
8W–15L career · no lines in 2022
8%91%1%
2.68
Janit Shannon
2W–5L career · no lines in 2022
not enough data
Jeff Woods
0W–2L career · no lines in 2022
not enough data
Lee Ann Wilson
6W–13L 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.