Teams

TFailla/FGrindle (Weddington)

2022 Mixed Doubles 40 & Over League · 40 & Over Mixed 6.0 - Mon PM

11 players · average NTRP 3.43 / NORTH CAROLINA

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Schedule7 played
2022-08-01vs KStaley (Weddington)Lost 01
L#1 DoublesTasha Cooper / Mike Gentile vs Stacey Herndon / Billy Stover5-7, 5-7
2022-07-25vs PGriffiths (OPRC)Won 10
W#1 DoublesVictoria Sofarelli / DJ Kulkarni vs Kristen Day / Peter Griffiths6-1, 6-1
2022-07-18vs JMiles (Life Time)Won 10
W#2 DoublesMary Wolf / Tano Failla vs Gladys Shinmoto / Jerell Chua6-4, 6-3
2022-07-13vs CGress (Matthews Tennis Club)Split 11
W#1 DoublesMike Gentile / Tasha Cooper vs Peggy Reimann / Andy Hunt6-3, 6-4
L#2 DoublesTano Failla / Mary Wolf vs Pamela Huggins / Steve Norman5-7, 5-7
2022-07-11vs AStover/THood (Blakeney)Lost 01
L#2 DoublesTasha Cooper / Mike Gentile vs Michelle Ludwiczak / Sachin Chitale6-7, 1-6
2022-06-13vs KMacrone (Park Road)Won 10
W#3 DoublesDoug Cooper / Victoria Sofarelli vs Greg Bartell / Heidy Bartell2-6, 6-0, 1-0
2022-06-06vs NBrasch (PCC)Won 10
W#2 DoublesTano Failla / Karen Vaughan vs Marcus Shore / Rebecca Shore2-6, 6-1, 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.

Flight standings for 40 & Over Mixed 6.0 - Mon PM 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 3.13 estimated across 10 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.

3.73
Jamie Wolf
published 4
3.45
Frank Grindle
published 3.5
3.42
Ben Gilchrist
published 3.5
3.15
Gina Gilchrist
published 3.5
3.15
Mike Gentile
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.08
Tano Failla
usually #2 Doubles 60%, also #3 Doubles 40% · published 3
3.06
Victoria Sofarelli
usually #2 Doubles 50%, also #3 Doubles 25% · published 3
2.91
Mary Wolf
published
2.73
Tasha Cooper
published
2.60
Karen Vaughan
published
DJ Kulkarni
published
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
Jamie Wolf
34W–20L career · no lines in 2022
4%94%2%
3.73
3.5
Frank Grindle
99W–53L career · no lines in 2022
<1%64%36%
3.45
3.5
Ben Gilchrist
7W–10L career · no lines in 2022
<1%73%27%
3.42
3.5
Gina Gilchrist
21W–25L career · no lines in 2022
12%88%<1%
3.15
3.5
Mike Gentile
115W–104L career · 3 lines in 2022
12%88%<1%
3.15
3
Tano Failla
54W–47L career · 5 lines in 2022
<1%27%73%
3.08
3
Victoria Sofarelli
171W–83L career · 4 lines in 2022
<1%32%68%
3.06
Mary Wolf
38W–17L career · no lines in 2022
<1%75%25%
2.91
Tasha Cooper
13W–15L career · no lines in 2022
4%94%2%
2.73
Karen Vaughan
7W–8L career · no lines in 2022
23%77%<1%
2.60
DJ Kulkarni
7W–14L career · no 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.