BAY CLUB SANTA CLARA 18MX9.0A

2026 MIXED 18&Over · 18&Over MX9.0

19 players · average NTRP 4.70 / 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 →

Schedule5 played

2026-02-07Split 1–1

L#2 DoublesPhilipp Wehn / Katerina Novitskaya vs Erin Kim / Joseph Huang2-6, 1-6

W#3 DoublesSilvana Gold / Brian Jacobsen vs Veeraya Pupatwibul / Michael Leopold7-5, 1-6, 1-0

2026-01-30Lost 0–1

L#3 DoublesJay Saddler / Renata Quintini vs Jiayi Shen / Jerry Liang2-6, 2-6

2026-01-24vs SUNNYVALE MTC 18MX9.0CLost 0–1

L#1 DoublesPhilipp Wehn / Renata Quintini vs Nikhil Pandit / Jiayi Shen3-6, 1-6

2026-01-17vs PINEWOOD PK 18MX9.0AWon 1–0

W#1 DoublesMichelle Nicholson / Cameron Tehrani vs Manasa Gadde / Yang Gao6-3, 6-4

2026-01-11vs SUNNYVALE MTC 18MX9.0BWon 1–0

W#1 DoublesMichelle Nicholson / Cameron Tehrani vs Daniela Leal / Piyush Lakhawat6-4, 7-5

A tie can be incomplete. Tell us if someone is missing.

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 standings27 teams · 18&Over MX9.0

Team	W	L	Ind. W	Ind. L	Sets lost	Games lost
1GOLDMAN TC 18MX9.0A	10	0	27	3	11	185
2RINCONADA PK 18MX9.0A	9	1	23	7	16	217
3SAN PABLO PK 18MX9.0A	9	1	24	6	19	193
4SUNNYVALE MTC 18MX9.0B	9	1	22	8	21	214
5SUNNYVALE MTC 18MX9.0C	8	2	24	6	18	225
6PLEASANTON 18MX9.0A	8	2	20	10	27	266
7SEASCAPE SC 18MX9.0A	8	2	21	9	28	251
8JOHNSON RANCH 18MX9.0A	7	3	18	12	26	258
9ALMADEN SR 18MX9.0A	7	3	18	12	31	293
10ST MARY 18MX9.0A	7	3	19	11	31	265
11SHELDON PK 18MX9.0A	6	4	20	10	25	237
12BAY TREES PK 18MX9.0A	6	4	18	12	27	232
13RIO DEL ORO 18MX9.0A	6	4	13	17	40	315
14FREMONT TC 18MX9.0A	4	6	13	17	38	296
15LOS GATOS SR 18MX9.0A	4	6	13	17	41	304
16BAY CLUB SANTA CLARA 18MX9.0A	4	6	12	18	41	293
17SUNNYVALE TC/SUNNYVALE MTC 18MX9.0A	4	6	11	19	42	278
18MENLO ATHERTON HS 18MX9.0A	3	7	13	17	41	321
19CUESTA TC 18MX9.0A	3	7	9	21	43	307
20WALNUT CREEK RC/Walnut Creek TC 18MX9.0A	3	7	11	19	44	311
21OLYMPIC 18MX9.0A	2	5	6	15	31	202
22PLEASANTON 18MX9.0B	2	8	9	21	42	310
23BAY CLUB COURTSIDE 18MX9.0A	1	9	8	22	45	304
24GOLD RIVER RC 18MX9.0A	1	9	9	21	47	321
25SAN PABLO PK 18MX9.0B	1	9	6	24	50	330
26MARIN TC 18MX9.0A	0	7	3	18	37	228
27PINEWOOD PK 18MX9.0A	0	10	6	24	51	328

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 4.12 estimated across 17 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.

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Cameron Tehrani

usually #1 Doubles 100% · published 5

4.64

Brian Jacobsen

usually #3 Doubles 100% · published 5

4.41

Adeeti Ullal

usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5

4.36

Sueyin Wong

usually #3 Doubles 33%, also #1 Doubles 33% · published —

4.35

Adlina Paramarta

usually #2 Doubles 54%, also #1 Doubles 39% · published 4.5

4.32

Alex Zhou

usually #1 Doubles 80%, also #3 Doubles 20% · published 4.5

4.31

Philipp Wehn

usually #1 Doubles 50%, also #2 Doubles 50% · published —

4.29

Ranjit Narayanan

usually #2 Doubles 75%, also #3 Doubles 25% · published —

4.24

Kevin Margo

usually #1 Doubles 64%, also #2 Doubles 29% · published —

4.16

Ranjit Deshpande

usually #3 Doubles 43%, also #2 Doubles 43% · published —

4.11

Jay Saddler

usually #3 Doubles 46%, also #2 Doubles 46% · published —

4.04

Jeannine Roberts

usually #2 Doubles 50%, also #1 Doubles 25% · published —

4.01

Lionel Yang

usually #2 Doubles 50%, also #1 Doubles 38% · published —

3.94

Silvana Gold

usually #3 Doubles 50%, also #1 Doubles 38% · published —

3.89

Shelly Wallace

usually #3 Doubles 60%, also #2 Doubles 20% · published —

3.85

Michelle Nicholson

usually #1 Doubles 39%, also #2 Doubles 39% · published —

3.57

Renata Quintini

usually #3 Doubles 50%, also #1 Doubles 50% · published —

3.55

Lily Huang

usually #1 Doubles 58%, also #3 Doubles 25% · published —

—

Katerina Novitskaya

usually #2 Doubles 40%, also #3 Doubles 40% · 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.

Lily Huang + Kevin Margo	7–6	54% games	+27.0% vs expected
Brian Jacobsen + Silvana Gold	1–3	4 matches	not enough data
Lionel Yang + Michelle Nicholson	1–2	3 matches	not 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.

Cameron Tehrani

2W–0L career · type M · 2 lines in 2026

not enough data

—

Brian Jacobsen

5W–6L career · 1 line in 2026

no projection at this level

4.64

4.5

Adeeti Ullal

14W–11L career · 6 lines in 2026

<1%73%26%

4.41

—

Sueyin Wong

13W–21L career · 3 lines in 2026

<1%83%16%

4.36

4.5

Adlina Paramarta

39W–23L career · 13 lines in 2026

1%85%14%

4.35

4.5

Alex Zhou

25W–6L career · 10 lines in 2026

1%89%10%

4.32

—

Philipp Wehn

4W–3L career · 2 lines in 2026

1%90%9%

4.31

—

Ranjit Narayanan

12W–9L career · 4 lines in 2026

2%91%7%

4.29

—

Kevin Margo

19W–19L career · 14 lines in 2026

4%93%3%

4.24

—

Ranjit Deshpande

10W–7L career · 7 lines in 2026

13%86%1%

4.16

—

Jay Saddler

13W–21L career · 11 lines in 2026

22%78%<1%

4.11

—

Jeannine Roberts

14W–8L career · 4 lines in 2026

38%62%<1%

4.04

—

Lionel Yang

7W–11L career · 8 lines in 2026

47%53%<1%

4.01

—

Silvana Gold

45W–23L career · 8 lines in 2026

<1%67%33%

3.94

—

Shelly Wallace

10W–12L career · 5 lines in 2026

79%21%<1%

3.89

—

Michelle Nicholson

45W–22L career · 18 lines in 2026

1%84%15%

3.85

—

Renata Quintini

0W–6L career · 2 lines in 2026

30%70%<1%

3.57

—

Lily Huang

21W–14L career · 12 lines in 2026

>99%<1%<1%

3.55

—

Katerina Novitskaya

8W–3L career · 10 lines in 2026

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.