Teams

SANTA CLARA TC/SANTA CLARA TENNIS C 18MX7.0A

2025 MIXED 18&Over · 18&Over MX7.0

15 players · average NTRP 3.80 / 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 18&Over MX7.0 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 3.33 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.

4.02
Martin Jay Rodiles
published
3.77
Choon Shin
published 4
3.77
Al Linke
published 4
Arren Smoot
usually #1 Doubles 100% · published 4
3.57
Pegah Seddighian
published
3.51
Eric Chu
published
3.48
Robert Brunkhorst
published
3.34
Debby Heicklen
published 3.5
3.19
Volga B Calvello
published
3.16
Alice Isaacson
published 3.5
3.10
MIchael Repinski
published
3.07
Jiajing Wang
published
2.99
Sailaja Brahmandam
usually #3 Doubles 100% · published
2.86
Jeanne Oxford
published
2.81
Mei See
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.

Volga B Calvello + Eric Chu213 matchesnot enough data
Pegah Seddighian + Jiajing Wang123 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.

Martin Jay Rodiles
5W–5L career · no lines in 2025
<1%45%55%
4.02
4
Choon Shin
2W–1L career · no lines in 2025
2%92%5%
3.77
4
Al Linke
2W–2L career · type M · no lines in 2025
3%92%5%
3.77
4
Arren Smoot
1W–2L career · 1 line in 2025
not enough data
Pegah Seddighian
11W–13L career · no lines in 2025
30%70%<1%
3.57
Eric Chu
11W–16L career · no lines in 2025
<1%48%52%
3.51
Robert Brunkhorst
3W–4L career · no lines in 2025
<1%55%45%
3.48
3.5
Debby Heicklen
23W–25L career · no lines in 2025
1%86%13%
3.34
Volga B Calvello
15W–29L career · no lines in 2025
8%90%1%
3.19
3.5
Alice Isaacson
16W–29L career · no lines in 2025
12%87%1%
3.16
MIchael Repinski
5W–22L career · no lines in 2025
24%76%<1%
3.10
Jiajing Wang
11W–16L career · no lines in 2025
31%69%<1%
3.07
Sailaja Brahmandam
12W–15L career · 1 line in 2025
<1%52%48%
2.99
Jeanne Oxford
6W–13L career · no lines in 2025
<1%83%16%
2.86
Mei See
6W–14L career · no lines in 2025
1%90%9%
2.81

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.