Teams

CROW CANYON CC 40MX7.0A

2024 MIXED 40&Over · 40&Over MX7.0

17 players · average NTRP 3.43 / 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 →
Schedule4 played
2024-08-02vs MONTE VISTA HS 40MX7.0ALost 01
L#3 DoublesLani Aurelius / Gary Peer vs Salvador Labrador / Florita Labrador6-2, 2-6, 0-1
2024-07-26vs BAY CLUB PL 40MX7.0BLost 01
L#1 DoublesRaj Patel / Lani Aurelius vs Dongjie Fan / Gonzalo Parra5-7, 4-6
2024-07-21vs PLEASANTON 40MX7.0ALost 01
L#1 DoublesLani Aurelius / Edward Streegan vs KIM HOLLAND / Sterling Tai1-6, 0-6
L#2 DoublesChris Picht / Lani Aurelius vs Benjamin Cha / Belinda Castillo6-4, 3-6, 0-1
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 40&Over MX7.0 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 3.19 estimated across 14 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.

3.69
Relura Horton
published
3.67
Dennis Mcsweeney
published 4
3.40
Vishal Shenoy
usually #2 Doubles 33%, also #3 Doubles 33% · published 3.5
3.38
Shelley Lober
published
3.27
Lani Aurelius
usually #1 Doubles 50%, also #2 Doubles 25% · published
3.22
Lea McSweeney
published
3.20
Chris Picht
published 3.5
3.19
Dana Kruger
published 3.5
3.16
Inna Leypold
published
3.08
Romeda Arsanjani
published
3.07
Debbie Baker
published 3.5
3.05
David Kutrosky
published 3.5
2.71
Pete Brown
published
2.52
Andreas Leypold
published 2.5
Gary Peer
published
Greg Sharkey
published
William Pratt
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.

Relura Horton
17W–8L career · no lines in 2024
8%90%1%
3.69
4
Dennis Mcsweeney
0W–3L career · no lines in 2024
11%88%1%
3.67
3.5
Vishal Shenoy
63W–56L career · 6 lines in 2024
<1%75%25%
3.40
Shelley Lober
13W–17L career · no lines in 2024
<1%81%19%
3.38
Lani Aurelius
187W–146L career · 4 lines in 2024
2%92%5%
3.27
Lea McSweeney
7W–10L career · no lines in 2024
6%92%2%
3.22
3.5
Chris Picht
12W–13L career · no lines in 2024
8%91%2%
3.20
3.5
Dana Kruger
9W–15L career · no lines in 2024
9%90%1%
3.19
Inna Leypold
1W–7L career · no lines in 2024
99%1%<1%
3.16
Romeda Arsanjani
9W–17L career · no lines in 2024
29%71%<1%
3.08
3.5
Debbie Baker
13W–14L career · no lines in 2024
30%70%<1%
3.07
3.5
David Kutrosky
3W–4L career · no lines in 2024
35%65%<1%
3.05
Pete Brown
6W–8L career · no lines in 2024
7%91%2%
2.71
2.5
Andreas Leypold
4W–4L career · no lines in 2024
0%45%55%
2.52
Gary Peer
6W–8L career · no lines in 2024
not enough data
Greg Sharkey
1W–3L career · no lines in 2024
not enough data
William Pratt
11W–10L career · no lines in 2024
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.