SAN PABLO PK 18MX9.0B

2026 MIXED 18&Over · 18&Over MX9.0

26 players · average NTRP 4.41 / 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 →

Schedule8 played

2026-03-15vs SAN PABLO PK 18MX9.0ALost 0–1

L#2 DoublesPersimmon Tobing / Alexander Tain vs Kiran F Narsinh / Gal Szekely2-6, 4-6

2026-03-05Won 1–0

W#2 DoublesZuhal Elhan / Rajan Bhatia vs Nicholas Urban / Ana Larner6-4, 6-1

2026-02-28vs SAN PABLO PK 18MX9.0ALost 0–1

L#2 DoublesRajan Bhatia / Zuhal Elhan vs Leone Patterson / Jason Yang4-6, 3-6

2026-02-14Lost 0–1

L#2 DoublesPersimmon Tobing / Stephen Fung vs Kimi Watada / William Edman0-6, 3-6

2026-02-07vs SAN PABLO PK 18MX9.0AWon 1–0

W#3 DoublesBryan Balde / Persimmon Tobing vs Trina Slapeka / William Edman1-6, 6-4, 1-0

2026-01-30vs SAN PABLO PK 18MX9.0AWon 1–0

W#2 DoublesMakayla Chassion / Keanen McCarthy vs Arjun Rihan / Eva Spindler7-6, 6-3

2026-01-25Lost 0–1

L#2 DoublesBryan Balde / Persimmon Tobing vs Aaron Douville / Eva Spindler7-6, 4-6, 1-0

2026-01-10vs SAN PABLO PK 18MX9.0ASplit 1–1

W#1 DoublesPersimmon Tobing / Benjamin Yan vs Arjun Rihan / Kimi Watada6-2, 6-4

L#3 DoublesMarion Fernandez / Clarissa Binkley vs Nicholas Urban / Kiran F Narsinh4-6, 7-5, 0-1

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 4.25 estimated across 23 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.

4.79

Persimmon Tobing

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

4.73

Lauren Frazier

usually #1 Doubles 71%, also #2 Doubles 14% · published —

4.71

Keanen McCarthy

usually #1 Doubles 60%, also #3 Doubles 20% · published —

4.66

Minh Luu

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

4.66

Rajan Bhatia

usually #2 Doubles 100% · published —

4.63

Isa Chau

usually #1 Doubles 100% · published 5

4.61

Elena Pan

usually #3 Doubles 67%, also #2 Doubles 33% · published 5

4.42

Henry Qi

usually #2 Doubles 40%, also #1 Doubles 40% · published 4.5

4.34

Marion Fernandez

usually #3 Doubles 100% · published —

4.30

Benjamin Green

usually #3 Doubles 57%, also #2 Doubles 43% · published 4.5

4.24

Clarissa Binkley

usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5

4.21

Bryan Balde

usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5

4.15

Nathan Gong

usually #2 Doubles 55%, also #1 Doubles 36% · published —

4.14

Benjamin Yan

usually #2 Doubles 50%, also #3 Doubles 25% · published 4.5

4.12

Tina Baykaner

usually #2 Doubles 40%, also #1 Doubles 30% · published —

4.08

Sugi Bernard

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

4.05

Tiffany Liew

usually #2 Doubles 75%, also #1 Doubles 25% · published —

4.01

Makayla Chassion

usually #2 Doubles 100% · published —

3.89

Gabriel Chan

usually #2 Doubles 35%, also #3 Doubles 35% · published 4

3.86

Zuhal Elhan

usually #2 Doubles 71%, also #3 Doubles 14% · published —

3.81

Alexander Tain

usually #2 Doubles 50%, also #1 Doubles 25% · published 4

—

Alexandra Kahn

usually #2 Doubles 50%, also #1 Doubles 50% · published 4

3.74

Henny Huang

usually #3 Doubles 43%, also #2 Doubles 29% · published 4

3.57

Stephen Fung

usually #1 Doubles 57%, also #2 Doubles 43% · published —

—

Patrick Huck

published —

—

Soren Zeliger

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.

Nathan Gong + Tiffany Liew	1–6	43% games	−2.0% vs expected

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.

—

Persimmon Tobing

6W–7L career · 5 lines in 2026

1%94%5%

4.79

—

Lauren Frazier

8W–2L career · 7 lines in 2026

4%94%2%

4.73

—

Keanen McCarthy

4W–4L career · 5 lines in 2026

5%94%1%

4.71

—

Minh Luu

2W–5L career · 4 lines in 2026

10%89%<1%

4.66

—

Rajan Bhatia

7W–4L career · 2 lines in 2026

11%89%<1%

4.66

Isa Chau

4W–4L career · 3 lines in 2026

15%84%<1%

4.63

Elena Pan

9W–3L career · 3 lines in 2026

21%79%<1%

4.61

4.5

Henry Qi

10W–6L career · 5 lines in 2026

<1%74%26%

4.42

—

Marion Fernandez

9W–3L career · 1 line in 2026

<1%89%10%

4.34

4.5

Benjamin Green

18W–1L career · 7 lines in 2026

1%93%6%

4.30

4.5

Clarissa Binkley

14W–11L career · 8 lines in 2026

3%95%2%

4.24

4.5

Bryan Balde

8W–4L career · 2 lines in 2026

6%93%1%

4.21

—

Nathan Gong

11W–12L career · 11 lines in 2026

13%87%<1%

4.15

4.5

Benjamin Yan

5W–7L career · 4 lines in 2026

14%86%<1%

4.14

—

Tina Baykaner

24W–6L career · 10 lines in 2026

18%82%<1%

4.12

—

Sugi Bernard

20W–15L career · 4 lines in 2026

<1%27%73%

4.08

—

Tiffany Liew

14W–12L career · 12 lines in 2026

34%66%<1%

4.05

—

Makayla Chassion

5W–0L career · 1 line in 2026

<1%47%53%

4.01

Gabriel Chan

42W–10L career · 23 lines in 2026

<1%79%21%

3.89

—

Zuhal Elhan

74W–38L career · 7 lines in 2026

<1%85%14%

3.86

Alexander Tain

19W–8L career · 8 lines in 2026

1%92%7%

3.81

Alexandra Kahn

0W–3L career · 2 lines in 2026

not enough data

—

Henny Huang

18W–9L career · 7 lines in 2026

3%95%2%

3.74

—

Stephen Fung

2W–18L career · 7 lines in 2026

29%71%<1%

3.57

—

Patrick Huck

3W–4L career · no lines in 2026

not enough data

—

Soren Zeliger

3W–0L career · no 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.