Teams

LOS GATOS SR 40MX6.0A

2025 MIXED 40&Over · 40&Over MX6.0

23 players · average NTRP 3.10 / 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 →

Flight standings for 40&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 2.92 estimated across 22 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.

3.49
Jing Welch
usually #3 Doubles 100% · published
3.41
Pauline Teunissen
usually #3 Doubles 100% · published
3.34
Lisa Baumert
usually #1 Doubles 100% · published
3.22
Jennifer Haggerty
published
3.20
Nams Shugar
published
3.17
Amy Beth Hansman
published 3.5
3.16
Johnny Sendejo
published
3.10
Sandeep Nama
published
3.01
Sheila Hutchinson
published
2.99
Michelle Yoo
published
2.97
Joe Menkhaus
usually #3 Doubles 100% · published 3
2.82
Michel Schreurs
published
2.79
Audrey Patchett
published 3
2.79
Yang Ye
published
2.75
Haik Russell
published
2.73
Eugene Priadka
published
2.68
Marci Briskin
published
2.67
Bobby Freeman
published 3
2.64
Darin Dillehay
usually #1 Doubles 100% · published 3
2.62
Jim Drozdiak
published
2.58
Erin Maslaney
published
2.21
Shelly Demko
published
Kevin Haggerty
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.

Pauline Teunissen + Michel Schreurs033 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.

Jing Welch
20W–4L career · 1 line in 2025
<1%52%48%
3.49
Pauline Teunissen
21W–22L career · 1 line in 2025
<1%75%25%
3.41
Lisa Baumert
34W–33L career · 1 line in 2025
1%87%13%
3.34
Jennifer Haggerty
17W–17L career · no lines in 2025
6%92%2%
3.22
Nams Shugar
10W–5L career · no lines in 2025
<1%8%92%
3.20
3.5
Amy Beth Hansman
13W–26L career · no lines in 2025
11%88%1%
3.17
Johnny Sendejo
5W–10L career · no lines in 2025
12%87%1%
3.16
Sandeep Nama
5W–6L career · no lines in 2025
<1%24%76%
3.10
Sheila Hutchinson
13W–30L career · no lines in 2025
48%52%<1%
3.01
Michelle Yoo
9W–13L career · no lines in 2025
<1%54%46%
2.99
3
Joe Menkhaus
19W–18L career · 1 line in 2025
<1%58%42%
2.97
Michel Schreurs
15W–19L career · no lines in 2025
1%89%10%
2.82
3
Audrey Patchett
12W–13L career · no lines in 2025
2%91%7%
2.79
Yang Ye
12W–8L career · no lines in 2025
0%2%98%
2.79
Haik Russell
15W–10L career · no lines in 2025
4%93%4%
2.75
Eugene Priadka
13W–18L career · no lines in 2025
5%92%3%
2.73
Marci Briskin
12W–7L career · no lines in 2025
0%10%90%
2.68
3
Bobby Freeman
2W–2L career · no lines in 2025
11%88%1%
2.67
3
Darin Dillehay
2W–9L career · 1 line in 2025
15%84%1%
2.64
Jim Drozdiak
5W–21L career · no lines in 2025
19%81%<1%
2.62
Erin Maslaney
9W–8L career · no lines in 2025
0%30%70%
2.58
Shelly Demko
8W–11L career · no lines in 2025
0%98%2%
2.21
Kevin Haggerty
0W–1L 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.