Teams

OClaxton (Life Time)

2023 Adult 40 & Over League · 40 & Over Adult 4.0 Women

1 players · average NTRP 4 · USTA/SOUTHERN / NORTH CAROLINA

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Scouting

Roster averages 3.98 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.

3.98
Michele Sutherland
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
Results6 ties
2023-04-18Won 10
W#2 DoublesMichele Sutherland / Dana Ferguson vs Shari Jimena / Dina DiMartino6-4, 7-6
2023-04-04Lost 01
L#1 DoublesMichele Sutherland / Erin Bloomberg vs Joni Smith / Renee Broud2-6, 7-6, 1-0
2023-03-28Won 10
W#2 DoublesDana Ferguson / Michele Sutherland vs Amy Barrett / Cyndie Hobson7-6, 6-4
2023-03-14Lost 01
L#1 DoublesMichele Sutherland / Dana Ferguson vs Wendy Parker / Kristen Oliver6-2, 6-1
2023-03-07Lost 01
L#1 DoublesStacey Reinhardt / Michele Sutherland vs Holly McClure / Kathleen Johnstone6-3, 3-6, 1-0
2023-02-28Won 10
W#1 DoublesMichele Sutherland / Dana Ferguson vs Sarah Krenz / Lori Andersen6-3, 6-0
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
Michele Sutherland
332W–175L career
0%87%13%
3.98

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.