Teams

Jieafa (Dante Fascell)

2022 Miami-Dade Adult 18 & Over - Fall Day · 3.5 Adult Women

13 players · average NTRP 3.25 / REGION_8

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 3.5 Adult Women 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 2.99 estimated across 13 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.

3.36
Rhonda MacAu
usually #3 Doubles 63%, also #1 Doubles 38% · published
3.20
Silvana Caamano
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.18
Jenifer Longa
usually #2 Doubles 60%, also #1 Doubles 40% · published 3.5
3.08
Beatriz Morales
usually #2 Doubles 100% · published 3.5
3.06
Maria Debacher
published
2.96
Diana Norniella-Burke
usually #1 Doubles 100% · published 3
2.94
Lourdes Gray
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
2.92
2.90
Inmaculada Clariana
usually #2 Doubles 39%, also #1 Singles 23% · published 3
2.89
Bernardine Rogan
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
2.89
Maria Basterra
usually #2 Singles 40%, also #3 Doubles 40% · published 3
2.81
Luanne Schulz
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.66
Ana Fernandez
usually #2 Doubles 42%, also #2 Singles 17% · published 3
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.

Ana Fernandez + Inmaculada Clariana423753% games+11.3% vs expected
Beatriz Morales + Luanne Schulz4252% games+4.3% vs expected
Diana Norniella-Burke + Jenifer Longa4841% games+1.4% vs expected
Diana Norniella-Burke + Lourdes Gray21133% gamesnot enough data
Rhonda MacAu + Maria Basterra8267% gamesnot enough data
Beatriz Morales + Diana Norniella-Burke2446% gamesnot enough data
Beatriz Morales + Silvana Caamano0530% gamesnot enough data
Jenifer Longa + Silvana Caamano2348% gamesnot 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.

Rhonda MacAu
113W–54L career · 8 lines in 2022
<1%86%14%
3.36
3.5
Silvana Caamano
80W–136L career · 4 lines in 2022
6%93%1%
3.20
3.5
Jenifer Longa
142W–163L career · 5 lines in 2022
8%91%1%
3.18
3.5
Beatriz Morales
93W–111L career · 3 lines in 2022
26%74%<1%
3.08
Maria Debacher
1W–4L career · no lines in 2022
31%69%<1%
3.06
3
Diana Norniella-Burke
37W–96L career · 1 line in 2022
<1%63%37%
2.96
3.5
Lourdes Gray
40W–96L career · 4 lines in 2022
68%32%<1%
2.94
Mariagrazia Salvador
5W–8L career · no lines in 2022
73%27%<1%
2.92
3
Inmaculada Clariana
87W–81L career · 12 lines in 2022
<1%78%22%
2.90
3.5
Bernardine Rogan
24W–73L career · type S · 5 lines in 2022
81%19%<1%
2.89
3
Maria Basterra
112W–142L career · 5 lines in 2022
<1%80%19%
2.89
3
Luanne Schulz
51W–72L career · 2 lines in 2022
1%91%8%
2.81
3
Ana Fernandez
84W–82L career · 11 lines in 2022
12%88%<1%
2.66

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.