Teams

CROW CANYON CC 18MX7.0A

2022 MIXED 18&Over · 18&Over MX7.0

16 players · average NTRP 3.56 / 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
2022-02-24Won 10
W#2 DoublesPia Moore / Erik Frick vs Derek Lee / Catmy Vo7-5, 6-3
2022-02-10vs FREMONT TC 18MX7.0ALost 01
L#3 DoublesPia Moore / Richard San Vicente vs Jindan Xu / Jinhao Li4-6, 5-7
2022-01-20vs BAY TREES PK 18MX7.0ALost 01
L#2 DoublesGokul Sathiacama / Pia Moore vs Connie J Chang / Stanford Quan2-6, 2-6
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 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 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.

4.03
Harish Natarajan
published 4.5
3.61
3.40
Chad Harrison
published 3.5
3.39
Pia Moore
usually #2 Doubles 67%, also #3 Doubles 33% · published
3.37
Shelley Lober
published
3.36
3.34
Rattana Graff
published
3.34
Gary Peer
published 3.5
3.23
Leda Lim
published
3.19
Chris Picht
published 3.5
3.16
Dana Kruger
published 3.5
3.04
Debbie Baker
published 3.5
2.92
Daljeet Singh
published 3.5
2.64
Richard San Vicente
published
1.88
Alan Roth
published 2.5
Ryan Semmelmeyer
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.

Harish Natarajan + Daljeet Singh2437% 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.

4.5
Harish Natarajan
15W–12L career · no lines in 2022
41%59%<1%
4.03
4
Adrienne Cummings
6W–3L career · no lines in 2022
20%80%<1%
3.61
3.5
Chad Harrison
5W–18L career · no lines in 2022
<1%79%21%
3.40
Pia Moore
67W–40L career · 3 lines in 2022
<1%80%19%
3.39
Shelley Lober
13W–17L career · no lines in 2022
<1%85%15%
3.37
Stephanie Chamberlin
21W–13L career · no lines in 2022
<1%86%14%
3.36
Rattana Graff
4W–17L career · no lines in 2022
89%11%<1%
3.34
3.5
Gary Peer
6W–8L career · no lines in 2022
<1%89%11%
3.34
Leda Lim
1W–4L career · no lines in 2022
4%94%2%
3.23
3.5
Chris Picht
12W–13L career · no lines in 2022
8%92%1%
3.19
3.5
Dana Kruger
9W–15L career · no lines in 2022
11%89%<1%
3.16
3.5
Debbie Baker
13W–14L career · no lines in 2022
37%63%<1%
3.04
3.5
Daljeet Singh
3W–25L career · no lines in 2022
73%27%<1%
2.92
Richard San Vicente
9W–9L career · no lines in 2022
14%86%<1%
2.64
2.5
Alan Roth
1W–13L career · type A · no lines in 2022
0%>99%<1%
1.88
Ryan Semmelmeyer
4W–5L 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.