Teams

BAY CLUB SANTA CLARA 18MX8.0C

2025 MIXED 18&Over · 18&Over MX8.0

20 players · average NTRP 4.08 / 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 MX8.0 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 3.85 estimated across 19 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.

4.34
Mike Arun
published
4.32
Philipp Wehn
published
4.30
Eugene Chen
usually #3 Doubles 100% · published 4.5
4.25
Jaime Santos
usually #1 Doubles 100% · published 4.5
4.05
Lazar Vukoje
usually #2 Doubles 100% · published
4.00
Lionel Yang
published
3.94
Dan Gullion
usually #1 Doubles 100% · published 4
3.92
Michelle Nicholson
published
3.89
Jonathan Trinh
usually #1 Doubles 100% · published
3.77
Felicia Tsai
published 4
3.77
Mattie Wei
published
3.72
Zhen Zhang
usually #1 Doubles 100% · published
3.68
Mina Fu
usually #2 Doubles 100% · published
3.68
Shelly Shen
usually #3 Doubles 100% · published
3.63
Ted Chen
published
3.52
Yi Tian
published
3.49
Alison Erhart
usually #1 Doubles 100% · published 3.5
3.43
Peter Kuo
published
3.43
Amy Li
usually #3 Doubles 100% · published 4
Katerina Novitskaya
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.

Dan Gullion + Zhen Zhang101252% games+1.6% vs expected
Jaime Santos + Alison Erhart4155% gamesnot enough data
Ted Chen + Michelle Nicholson213 matchesnot enough data
Yi Tian + Lionel Yang213 matchesnot enough data
Lionel Yang + Michelle Nicholson123 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.

Mike Arun
3W–0L career · no lines in 2025
<1%88%11%
4.34
Philipp Wehn
4W–3L career · no lines in 2025
1%91%8%
4.32
4.5
Eugene Chen
9W–3L career · 1 line in 2025
1%93%6%
4.30
4.5
Jaime Santos
23W–13L career · 1 line in 2025
3%95%3%
4.25
Lazar Vukoje
8W–5L career · 1 line in 2025
<1%36%64%
4.05
Lionel Yang
7W–11L career · no lines in 2025
51%49%<1%
4.00
4
Dan Gullion
37W–25L career · 1 line in 2025
<1%68%32%
3.94
Michelle Nicholson
43W–22L career · no lines in 2025
<1%73%27%
3.92
Jonathan Trinh
14W–12L career · 1 line in 2025
81%19%<1%
3.89
4
Felicia Tsai
10W–11L career · no lines in 2025
2%94%4%
3.77
Mattie Wei
11W–3L career · no lines in 2025
2%94%4%
3.77
Zhen Zhang
15W–28L career · 1 line in 2025
5%94%1%
3.72
Mina Fu
5W–6L career · 1 line in 2025
8%91%1%
3.68
Shelly Shen
7W–15L career · 1 line in 2025
8%91%1%
3.68
Ted Chen
7W–6L career · no lines in 2025
16%83%<1%
3.63
Yi Tian
5W–2L career · no lines in 2025
44%56%<1%
3.52
3.5
Alison Erhart
35W–12L career · 1 line in 2025
<1%53%47%
3.49
Peter Kuo
12W–12L career · no lines in 2025
71%29%<1%
3.43
4
Amy Li
1W–3L career · 1 line in 2025
71%29%<1%
3.43
Katerina Novitskaya
8W–3L 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.