Teams

OC Team Courage Irvine - Nisha

2025 USTA Mixed Doubles 40 & Over - OC · OC - 8.0 WE - Weekend Mixed Doubles

20 players · average NTRP 4.28 / 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 →

Flight standings for OC - 8.0 WE - Weekend Mixed Doubles 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 3.79 estimated across 16 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.

4.65
Laura McManus
usually #1 Doubles 63%, also #2 Doubles 38% · published 5
4.29
Meng-Chieh Lee
usually #3 Doubles 40%, also #1 Doubles 40% · published 4.5
4.23
Pat Papartassee
usually #2 Doubles 50%, also #1 Doubles 33% · published 4.5
4.19
Jeffrey Connell
published
4.16
Masami Hashimoto
usually #3 Doubles 40%, also #1 Doubles 40% · published 4.5
4.11
Heidi Schuler
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
3.94
Karissa Do
usually #2 Doubles 50%, also #1 Doubles 50% · published 4
3.68
Sabrina MacLachlan
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.62
Susie Kim
published
3.59
Edgar Tellez
published
3.52
Gretchen Cuzick
usually #1 Doubles 33%, also #3 Doubles 33% · published 3.5
3.44
Alan Chan
usually #3 Doubles 80%, also #1 Doubles 20% · published 4
3.36
Nisha Anish
usually #2 Doubles 100% · published
3.33
Neb Petrovacki
usually #3 Doubles 100% · published
3.31
Martin Staszak
published
3.18
Kristi Wechsler
usually #1 Doubles 100% · published
Hiro Saito
published
Leonard Wang
published
Rafael Nieto
published
Wilson Teo
usually #2 Doubles 67%, also #3 Doubles 33% · 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.

5
Laura McManus
107W–68L career · 8 lines in 2025
no projection at this level
4.65
4.5
Meng-Chieh Lee
135W–49L career · 5 lines in 2025
2%91%7%
4.29
4.5
Pat Papartassee
75W–78L career · 6 lines in 2025
5%92%3%
4.23
Jeffrey Connell
10W–7L career · no lines in 2025
9%90%1%
4.19
4.5
Masami Hashimoto
108W–127L career · 5 lines in 2025
12%87%1%
4.16
4.5
Heidi Schuler
117W–78L career · 4 lines in 2025
22%78%<1%
4.11
4
Karissa Do
90W–75L career · 2 lines in 2025
<1%65%34%
3.94
4
Sabrina MacLachlan
190W–130L career · 6 lines in 2025
10%89%1%
3.68
Susie Kim
14W–7L career · no lines in 2025
<1%20%80%
3.62
Edgar Tellez
5W–18L career · no lines in 2025
26%74%<1%
3.59
3.5
Gretchen Cuzick
133W–84L career · 3 lines in 2025
<1%46%54%
3.52
4
Alan Chan
80W–67L career · 5 lines in 2025
66%34%<1%
3.44
Nisha Anish
27W–16L career · 1 line in 2025
<1%1%99%
3.36
Neb Petrovacki
28W–14L career · 1 line in 2025
1%88%11%
3.33
Martin Staszak
13W–14L career · no lines in 2025
1%90%9%
3.31
Kristi Wechsler
14W–10L career · 1 line in 2025
<1%10%90%
3.18
Hiro Saito
23W–9L career · no lines in 2025
not enough data
Leonard Wang
2W–0L career · no lines in 2025
not enough data
Rafael Nieto
15W–6L career · no lines in 2025
not enough data
Wilson Teo
2W–2L career · 3 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.