Teams

SFV - Double Trouble/D Dixon & K Green

2025 Mixed 40 SFV Spring · SFV 40 & Over - 6.0 MxD

15 players · average NTRP 2.83 / SO.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
2025-05-17vs SFV - TL Tempest/Aladjem & BermanLost 12
W#1 DoublesKen Green / Laurie Patterson vs Tommy Johnson / Marcia Berman7-5, 2-6, 1-0
L#2 DoublesCary Minovitz / Joy Kim vs Jason Wang / Charissa Smith1-6, 1-6
L#3 DoublesDan Kollmorgen / Savina Kollmorgen vs Bret Hofstein / Melissa Turai2-6, 1-6
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 SFV 40 & Over - 6.0 MxD 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 2.72 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.

3.17
Ken Green
usually #1 Doubles 100% · published
3.04
Neal Ferraro
published
3.02
Patrick Perez
published
2.91
Cristina Nava
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.85
Youngju Navarro
published
2.77
Ali Taheripour
published 3
2.76
Cary Minovitz
usually #2 Doubles 100% · published 3
2.62
Debbi Dixon
published 3
2.60
Karen Crosby
published
2.60
Joy Kim
usually #2 Doubles 100% · published
2.54
Chung Mi Ferraro
published 2.5
2.48
Laurie Patterson
usually #1 Doubles 100% · published
2.45
Savina Kollmorgen
usually #3 Doubles 100% · published
2.21
Dan Kollmorgen
usually #3 Doubles 100% · published 2.5
Makan Mohageg
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.

Ken Green + Laurie Patterson6056% gamesnot enough data
Cristina Nava + Neal Ferraro4159% gamesnot enough data
Patrick Perez + Joy Kim134 matchesnot enough data
Youngju Navarro + Cary Minovitz134 matchesnot enough data
Youngju Navarro + Makan Mohageg044 matchesnot enough data
Savina Kollmorgen + Dan Kollmorgen044 matchesnot enough data
Ken Green + Youngju Navarro213 matchesnot enough data
Joy Kim + Cary Minovitz123 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.

Ken Green
18W–9L career · 1 line in 2025
12%87%1%
3.17
Neal Ferraro
6W–7L career · no lines in 2025
38%61%<1%
3.04
Patrick Perez
7W–17L career · no lines in 2025
<1%43%57%
3.02
3
Cristina Nava
68W–50L career · 3 lines in 2025
<1%73%26%
2.91
Youngju Navarro
23W–30L career · no lines in 2025
1%85%14%
2.85
3
Ali Taheripour
3W–1L career · type S · no lines in 2025
3%92%5%
2.77
3
Cary Minovitz
3W–6L career · type S · 1 line in 2025
3%93%4%
2.76
3
Debbi Dixon
10W–16L career · no lines in 2025
19%80%<1%
2.62
Karen Crosby
2W–9L career · no lines in 2025
23%77%<1%
2.60
Joy Kim
12W–26L career · 1 line in 2025
24%76%<1%
2.60
2.5
Chung Mi Ferraro
6W–0L career · no lines in 2025
0%40%60%
2.54
Laurie Patterson
8W–16L career · 1 line in 2025
54%46%<1%
2.48
Savina Kollmorgen
1W–20L career · 1 line in 2025
65%35%<1%
2.45
2.5
Dan Kollmorgen
0W–7L career · type S · 1 line in 2025
0%98%2%
2.21
Makan Mohageg
0W–8L career · no lines 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.