Teams

Berry Twisted 3.5 Weekday

Winter Adult 40 & Over WeekDAY · Womens 3.5

1 players · average NTRP 3.5 · USTA/TEXAS / TEXAS

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Scouting

Roster averages 3.39 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.

3.39
Cheryl Geisler
usually #4 Doubles 43%, also #2 Doubles 43% · published 3.5
Results7 ties
2025-03-20Won 10
W#4 DoublesKathleen Gilbert / Cheryl Geisler vs Barbara Bronleewe / Rhonda Kleiss6-0, 6-1
2025-03-13Lost 01
L#2 DoublesCheryl Geisler / Stacey Lesieur vs Leslie Cabellos / Laurie McCartney6-4, 6-3
2025-03-10Won 10
W#4 DoublesCheryl Geisler / Stacey Lesieur vs Jennifer Egelsee / Michelle Hammerbach6-1, 6-0
2025-03-06Won 10
W#2 DoublesCindy Bittenbinder / Cheryl Geisler vs Melissa Rabeaux / Amber Peconga6-1, 6-3
2025-02-27Won 10
W#2 DoublesCrystal Murray / Cheryl Geisler vs Teresa Smith / Ida Brazell6-4, 6-4
2025-02-06Won 10
W#4 DoublesCheryl Geisler / Sheryl Trembley vs Brenda Warrick / Debra Woods6-2, 4-6, 1-0
2025-01-23Won 10
W#3 DoublesJanet Fiala / Cheryl Geisler vs Sydney Stadler / Rebecca Hall6-0, 7-5
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.

3.5
Cheryl Geisler
124W–100L career
0%97%3%
3.39

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.