Teams

WI Adult 40&O 4.5 W GML North Shore CC Westreich

2019 WI Adult 40 & Over · WI Adult 40 & Over 4.5+ Women

1 players · average NTRP 5 · USTA/MIDWEST / WISCONSIN

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Scouting

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.

Melissa Gebhardt
usually #1 Singles 50%, also #1 Doubles 50% · published 5
Results8 ties
2019-07-29Lost 01
L#1 DoublesMelissa Gebhardt / Shireen Jayne vs Sarah Cyganiak / Lauren Nawrocki2-6, 7-6, 1-0
2019-07-22Won 10
W#1 DoublesShireen Jayne / Melissa Gebhardt vs Michelle Webster / Tracey Brandl6-2, 7-5
2019-07-15Won 10
W#1 SinglesMelissa Gebhardt vs N/A6-0, 6-0
2019-07-08Won 10
W#1 DoublesShireen Jayne / Melissa Gebhardt vs Angela Orentas / Sarah Cyganiak2-6, 6-2, 1-0
2019-07-01Won 10
W#1 SinglesMelissa Gebhardt vs Jennifer Achuck6-1, 6-1
2019-06-24Won 10
W#1 SinglesMelissa Gebhardt vs Jennifer Boldt6-1, 6-3
2019-06-10Won 10
W#1 DoublesMelissa Gebhardt / Nancy Covert vs Patty Fronberry / Tracey Brandl6-1, 6-3
2019-06-03Won 10
W#1 SinglesMelissa Gebhardt vs Jennifer Boldt6-0, 6-2
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.

5
Melissa Gebhardt
54W–18L career
not enough data

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.