Teams

Fiddlers Creek - D. Keely

2022 Collier Mixed 55 & Over Fall · 2022 Mixed 55 & over 7.0 Fall

12 players · average NTRP 3.83 / REGION_7

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Schedule6 played
2021-12-04vs Players Club - BifaroWon 10
W#1 DoublesJonathan Kaylor / Peggy Keigley vs Larry Addabbo / Patrice Clapacs6-3, 6-4
2021-11-27vs Vineyards -Won 10
W#1 DoublesDonna Digeronimo / Jonathan Kaylor vs William Danford / Pamela Conger6-4, 6-0
2021-11-13vs Fall Winners - Marco YMCA - GauchLost 01
L#2 DoublesPeggy Keigley / Jonathan Kaylor vs Jennifer Ball / Andy Mintz4-5
2021-11-06vs Village Walk Bonita - J. MartinWon 10
W#2 DoublesDonna Digeronimo / Jonathan Kaylor vs Joan Dilkey / Pete Zink6-2, 6-0
2021-10-30vs Players Club - M. LeonardWon 10
W#2 DoublesJoseph Kardek / Peggy Keigley vs Frank Ciriello / Elaine Leffingwell-King2-6, 6-4, 1-0
2021-10-16vs Cambier - M.SmileyWon 10
W#2 DoublesJoseph Kardek / Peggy Keigley vs Candace Gregory / Jack Myers6-2, 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.

Flight standings for 2022 Mixed 55 & over 7.0 Fall have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.28 estimated across 6 rated players. 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.

David Ray
published 4
3.66
Donna Digeronimo
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.51
Joseph Kardek
published
3.51
David Keely
published 3.5
3.18
Linda Keely
published
3.11
Victoria Pollock
published
2.69
Laura Farnham
published
Jeff Rothe
published
Jonathan Kaylor
published
Maria Riccio
published
Mark Garrett
published
Peggy Keigley
usually #2 Doubles 75%, also #1 Doubles 25% · published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Linda Keely + David Keely2348% gamesnot enough data
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. Lines played in this team’s season are shown beside each name.

4
David Ray
0W–1L career · type A · no lines in 2022
not enough data
4
Donna Digeronimo
107W–91L career · 2 lines in 2022
11%89%<1%
3.66
Joseph Kardek
11W–39L career · no lines in 2022
46%54%<1%
3.51
3.5
David Keely
32W–11L career · no lines in 2022
<1%48%52%
3.51
Linda Keely
11W–22L career · no lines in 2022
8%91%1%
3.18
Victoria Pollock
10W–13L career · no lines in 2022
21%79%<1%
3.11
Laura Farnham
10W–24L career · no lines in 2022
8%92%1%
2.69
Jeff Rothe
5W–4L career · no lines in 2022
not enough data
Jonathan Kaylor
12W–16L career · no lines in 2022
not enough data
Maria Riccio
0W–2L career · no lines in 2022
not enough data
Mark Garrett
4W–3L career · no lines in 2022
not enough data
Peggy Keigley
92W–58L career · 4 lines in 2022
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. 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.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.