Teams

Mixed I

2022 Z-Refunded Players · Mixed Leagues

10 players · average NTRP 4.33 / TENNESSEE

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 Mixed Leagues 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 3.85 estimated across 8 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.

Daniel Deguira
published 4.5
Deidra Dunn
published 4.5
4.17
Greg Kirby
published 4.5
4.16
Kristie Danby
published
4.02
Hayden Oakley
published 4.5
3.85
Evan Hoffman
published 4
3.81
Wendy Petty
published
3.72
Lauren Clarke
published
3.63
Mei Ling Gingrich
published
3.47
Eve Tang
published 4
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.

Greg Kirby + Hayden Oakley3347% games−6.8% vs expected
Mei Ling Gingrich + Eve Tang224 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
Daniel Deguira
3W–11L career · no lines in 2022
not enough data
4.5
Deidra Dunn
3W–5L career · no lines in 2022
not enough data
4.5
Greg Kirby
18W–8L career · no lines in 2022
9%90%1%
4.17
Kristie Danby
33W–26L career · no lines in 2022
11%89%<1%
4.16
4.5
Hayden Oakley
13W–13L career · no lines in 2022
44%56%<1%
4.02
4
Evan Hoffman
47W–10L career · no lines in 2022
<1%87%12%
3.85
Wendy Petty
12W–20L career · no lines in 2022
1%91%8%
3.81
Lauren Clarke
35W–16L career · no lines in 2022
5%94%1%
3.72
Mei Ling Gingrich
38W–33L career · no lines in 2022
16%84%<1%
3.63
4
Eve Tang
18W–28L career · type A · no lines in 2022
58%42%<1%
3.47

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.