Teams

GREATER VALLEJO TA/AMADOR COURTS 40MX6.0A

2022 MIXED 40&Over · 40&Over MX6.0

13 players · average NTRP 3.08 / NO. CALIFORNIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for 40&Over MX6.0 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 2.97 estimated across 11 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.

3.33
Kay Johnson
published
3.17
Doug Fraggi
published 3.5
3.16
Pamela Gourley
published
3.16
Katie Pietrowski
published
2.99
Patrick Wong
published
2.99
Richard Arcala
published
2.91
Imelda Lee
published 3
2.77
Carole Tarantino
published 3
2.76
2.74
Allen Sherbal
published 3
2.70
Mary Burklow
published
Matt Walsh
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.

Carole Tarantino + Allen Sherbal033 matchesnot 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.

Kay Johnson
16W–15L career · no lines in 2022
<1%89%10%
3.33
3.5
Doug Fraggi
6W–18L career · no lines in 2022
10%89%1%
3.17
Pamela Gourley
4W–1L career · no lines in 2022
11%89%<1%
3.16
Katie Pietrowski
10W–8L career · no lines in 2022
12%88%<1%
3.16
Patrick Wong
10W–15L career · no lines in 2022
53%47%<1%
2.99
Richard Arcala
1W–7L career · no lines in 2022
54%46%<1%
2.99
3
Imelda Lee
19W–8L career · no lines in 2022
<1%75%25%
2.91
3
Carole Tarantino
8W–15L career · no lines in 2022
2%94%4%
2.77
3
Christopher Picone
3W–2L career · no lines in 2022
2%94%3%
2.76
3
Allen Sherbal
1W–5L career · type A · no lines in 2022
3%94%2%
2.74
3
Edgardo Isaguirre
0W–3L career · type S · no lines in 2022
6%93%1%
2.70
Mary Burklow
1W–0L career · no lines in 2022
not enough data
Matt Walsh
9W–8L 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.