Teams

JOHNSON RANCH 40AW3.5A

2025 ADULT 40&Over · Women's 3.5

14 players · average NTRP 3.50 / 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 →
Schedule1 played
2025-03-03vs ANTELOPE COMMUNITY PK 40AW3.5AWon 31
W#1 DoublesNatalie Chang / Lilly Ko vs Vinh Sae / Rhona Wu6-3, 6-1
W#1 SinglesJennifer Ryder vs Michelle Valenzuela6-2, 6-2
L#2 DoublesJulie Kawahara / Mylene Tiongco vs Rosalie Calabrese / Denise Canacari1-6, 6-2, 1-0
W#3 DoublesLori Grbac / Dahlia Zuidema vs Elvamae Frofunga / Lee Yoshikawa6-3, 6-3
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 Women's 3.5 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 3.34 estimated across 12 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.

3.66
Jennifer Ryder
usually #1 Singles 100% · published
3.63
Jane van Loon
published
3.54
Caryn Wong
published 3.5
3.38
Natalie Chang
usually #1 Doubles 100% · published
3.37
Lori Anderson
published
3.28
Mylene Tiongco
usually #2 Doubles 100% · published
3.27
Julie Kawahara
usually #2 Doubles 100% · published
Cathy SooHoo
published 3.5
3.24
Linda Sandretti
published
3.22
Dahlia Zuidema
usually #3 Doubles 100% · published 3.5
3.21
Colleen Buck
published 3.5
3.17
Lori Grbac
usually #3 Doubles 100% · published
3.08
Julie Willardsen
published
Lilly Ko
usually #1 Doubles 100% · 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.

Caryn Wong + Colleen Buck7063% games+14.4% vs expected
Jane van Loon + Natalie Chang8163% games+4.2% vs expected
Julie Kawahara + Lori Anderson4161% gamesnot enough data
Lori Grbac + Dahlia Zuidema123 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.

Jennifer Ryder
21W–3L career · 1 line in 2025
<1%11%89%
3.66
Jane van Loon
25W–8L career · no lines in 2025
<1%16%84%
3.63
3.5
Caryn Wong
21W–11L career · no lines in 2025
<1%38%62%
3.54
Natalie Chang
14W–4L career · 1 line in 2025
<1%81%19%
3.38
Lori Anderson
20W–7L career · no lines in 2025
<1%85%15%
3.37
Mylene Tiongco
14W–9L career · 1 line in 2025
1%94%5%
3.28
Julie Kawahara
10W–14L career · 1 line in 2025
2%94%4%
3.27
3.5
Cathy SooHoo
no matches on record · no lines in 2025
not enough data
Linda Sandretti
15W–9L career · no lines in 2025
3%95%2%
3.24
3.5
Dahlia Zuidema
4W–7L career · 1 line in 2025
4%94%2%
3.22
3.5
Colleen Buck
19W–14L career · no lines in 2025
5%93%1%
3.21
Lori Grbac
2W–13L career · 1 line in 2025
10%90%1%
3.17
Julie Willardsen
3W–9L career · no lines in 2025
28%72%<1%
3.08
Lilly Ko
3W–0L career · 1 line in 2025
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.