Teams

CROW CANYON CC 18MX6.0A

2022 MIXED 18&Over · 18&Over MX6.0

17 players · average NTRP 3.17 / 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 →
Schedule3 played
2022-03-08vs PLEASANTON 18MX6.0AWon 10
W#2 DoublesCathy Johnson / Cliff Johnson vs Marc Morris / Shauntae Morris6-4, 4-6, 1-0
2022-02-04vs STONEBRAE 18MX6.0ALost 01
L#1 DoublesCathy Johnson / Cliff Johnson vs Oliver Nono / Arianna Choing2-6, 2-6
2022-01-18Won 10
W#2 DoublesCathy Johnson / Cliff Johnson vs Aarati Sawhney / Burak Ozek6-1, 6-1
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 18&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 2.85 estimated across 15 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.

3.28
April Mundy
published 3.5
3.19
Chris Picht
published 3.5
3.17
Cliff Johnson
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.10
Romeda Arsanjani
published
2.99
Cathy Johnson
published 3
2.92
Daljeet Singh
published 3.5
2.82
Lisa San Vicente
published
2.80
Edward Graff
published 3
2.77
Judy Schmulewicz
published
2.76
Ronnie Ghosh
published
2.72
Pete Brown
published
2.68
Herb Schmulewicz
published 3
2.66
Terry Church
published
2.64
Aaron Kaplan
published 3
2.28
Denise Guthrie
published 2.5
Shirley Xue
published
Terry Feng
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.

Cathy Johnson + Cliff Johnson2448% gamesnot enough data
Terry Feng + Shirley Xue134 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.

3.5
April Mundy
8W–3L career · no lines in 2022
2%94%4%
3.28
3.5
Chris Picht
12W–13L career · no lines in 2022
8%92%1%
3.19
3.5
Cliff Johnson
39W–26L career · 3 lines in 2022
9%90%1%
3.17
Romeda Arsanjani
8W–17L career · no lines in 2022
22%78%<1%
3.10
3
Cathy Johnson
16W–12L career · no lines in 2022
<1%54%46%
2.99
3.5
Daljeet Singh
3W–25L career · no lines in 2022
73%27%<1%
2.92
Lisa San Vicente
8W–12L career · no lines in 2022
1%91%8%
2.82
3
Edward Graff
16W–10L career · no lines in 2022
1%93%6%
2.80
Judy Schmulewicz
4W–3L career · no lines in 2022
2%94%4%
2.77
Ronnie Ghosh
5W–10L career · no lines in 2022
2%95%3%
2.76
Pete Brown
6W–8L career · no lines in 2022
5%94%1%
2.72
3
Herb Schmulewicz
9W–4L career · no lines in 2022
9%91%1%
2.68
Terry Church
11W–18L career · no lines in 2022
11%88%<1%
2.66
3
Aaron Kaplan
6W–10L career · no lines in 2022
13%86%<1%
2.64
2.5
Denise Guthrie
20W–28L career · no lines in 2022
0%95%5%
2.28
Shirley Xue
1W–3L career · no lines in 2022
not enough data
Terry Feng
13W–11L 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.