Teams

Patriots wkdy

2019 Spring 40 & Over WeekDAY · Women's 4.5+

1 players · average NTRP 4.5 · USTA/TEXAS / TEXAS

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Scouting

Roster averages 4.08 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.

4.08
Jennifer Benedict
usually #2 Doubles 86%, also #3 Doubles 14% · published 4.5
Results7 ties
2019-06-18Won 10
W#2 DoublesMolly Polacek / Jennifer Benedict vs Kendra Echols / Heidi Shelton7-5, 6-1
2019-06-11Lost 01
L#2 DoublesJill Griffin / Jennifer Benedict vs Sara White / Lindsay McGarrahan6-2, 6-2
2019-05-21Won 10
W#2 DoublesMolly Polacek / Jennifer Benedict vs Anna Mechem / Keli Bigon6-4, 6-1
2019-05-14Lost 01
L#2 DoublesPam Bartay / Jennifer Benedict vs Nancy Ford / Kerry Riedel6-2, 2-6, 1-0
2019-05-09Lost 01
L#2 DoublesJennifer Benedict / Jill Griffin vs Dale Kozicz / Elizabeth Lee7-6, 6-4
2019-05-07Won 10
W#2 DoublesJennifer Benedict / Pam Bartay vs Lisa Ruggiero / Lindsay McGarrahan6-7, 6-3, 1-0
2019-04-23Won 10
W#3 DoublesJill Griffin / Jennifer Benedict vs Samantha Pearson / Marla Gostisha6-4, 1-6, 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
Jennifer Benedict
89W–51L career
6%94%0%
4.08

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.