Teams

SAN CARLOS TC/CARLMONT HS 40MX6.0A

2025 MIXED 40&Over · 40&Over MX6.0

12 players · average NTRP 3.20 / 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
W#1 DoublesManish Kothari / Eun Soo Lim vs Robb Fox / Marty Mullarkey2-6, 6-3, 1-0
L#2 DoublesStephanie Patterson / Chris Thom vs Mishelle Westendorf / Basudeb Ghosh4-6, 7-6, 0-1
L#3 DoublesSteven Carbullido / Surabhi Agrawal vs Steve Owen / Leslie Wakasa5-7, 7-6, 0-1
L#1 DoublesJames Czaja / Elena Tuck vs Leslie Wakasa / Derek Hillstrom5-7, 6-4, 0-1
W#2 DoublesDennis Louie / Eun Soo Lim vs Eliot Johnson / Letizia Pileggi6-2, 6-4
W#1 DoublesDennis Louie / Phuong Nguyen vs Derek Hillstrom / Letizia Pileggi6-4, 7-5
W#2 DoublesMarcos Pearson / Victoria Vanina vs Robb Fox / Nancy Economopoulos6-0, 6-4
W#3 DoublesChris Thom / Stephanie Patterson vs Basudeb Ghosh / Marty Mullarkey6-2, 6-2
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 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 3.06 estimated across 9 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.

3.51
Marcos Pearson
usually #2 Doubles 100% · published
3.48
Victoria Vanina
usually #2 Doubles 100% · published
3.32
James Czaja
usually #1 Doubles 100% · published 3.5
3.14
Steven Carbullido
usually #3 Doubles 100% · published
3.02
Chris Thom
usually #3 Doubles 50%, also #2 Doubles 50% · published 3.5
2.88
Amy An
published 3
2.81
Dennis Louie
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.79
Manish Kothari
usually #1 Doubles 100% · published
Eun Soo Lim
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.58
Surabhi Agrawal
usually #3 Doubles 100% · published
Elena Tuck
usually #1 Doubles 100% · published
Jihea Han
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.

Chris Thom + Surabhi Agrawal303 matchesnot enough data
Elena Tuck + James Czaja213 matchesnot enough data
Steven Carbullido + Victoria Vanina303 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.

Marcos Pearson
5W–10L career · 1 line in 2025
<1%46%54%
3.51
Victoria Vanina
28W–8L career · 1 line in 2025
<1%<1%>99%
3.48
3.5
James Czaja
12W–14L career · 1 line in 2025
1%91%8%
3.32
Steven Carbullido
11W–2L career · 1 line in 2025
<1%15%85%
3.14
3.5
Chris Thom
4W–5L career · type S · 2 lines in 2025
43%57%<1%
3.02
3
Amy An
10W–7L career · no lines in 2025
<1%81%19%
2.88
3
Dennis Louie
31W–9L career · type A · 2 lines in 2025
1%92%7%
2.81
Manish Kothari
13W–8L career · 1 line in 2025
1%93%5%
2.79
3
Eun Soo Lim
2W–0L career · 2 lines in 2025
not enough data
Surabhi Agrawal
10W–3L career · 1 line in 2025
0%26%74%
2.58
Elena Tuck
14W–5L career · 1 line in 2025
not enough data
Jihea Han
8W–2L 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.