Teams

Coral Reef - Radillo

2022 Miami-Dade Social South Florida Women's Double Tennis · Alpha 1

1 players · average NTRP 4.5 · USTA/FLORIDA / REGION_8

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Scouting

Roster averages 3.81 estimated across 1 rated player. 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.

3.81
Miriam Radillo
usually #1 Female Doubles 67%, also #3 Female Doubles 17% · published 4.5
Results6 ties
2022-05-05Lost 01
L#1 Female DoublesMiriam Radillo / Gabriela Castanon vs Magdalena Brave / Olga MariaForgas7-6, 2-6, 1-0
2022-04-21Won 10
W#2 Female DoublesMiriam Radillo / Gabriela Castanon vs Claudia Wilkins / Jamie Richman7-5, 6-0
2022-02-10Won 10
W#1 Female DoublesGabriela Castanon / Miriam Radillo vs Olga MariaForgas / Veronica del Corral6-3, 6-3
2022-01-20Won 10
W#3 Female DoublesMiriam Radillo / Leyvis Concepcion vs N/A6-0, 6-0
2021-11-18Won 10
W#1 Female DoublesMiriam Radillo / Gabriela Castanon vs Magdalena Brave / Cecilia Sicardi7-5, 6-2
2021-10-07Lost 01
L#1 Female DoublesMiriam Radillo / Gabriela Castanon vs Janine Burke / Allison Cohen6-4, 4-6, 1-0
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.
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.

4.5
Miriam Radillo
87W–83L career
63%37%0%
3.81

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.