Teams

ST MARY 18MX9.0A

2026 MIXED 18&Over · 18&Over MX9.0

20 players · average NTRP 4.33 / 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 →
Schedule7 played
2026-03-14Lost 01
L#1 DoublesBritni Arguelles / Barry Seeman vs Mariia Gryukova / Ryan Lehmer4-6, 6-4, 0-1
2026-03-08Won 10
W#2 DoublesBarry Seeman / Tiffany Liew vs Thomas Lyhne / Kimi Watada6-0, 6-2
W#1 DoublesTiffany Liew / Logan Boersma vs Yuen Chiang / Darrin Cohen6-4, 6-4
W#3 DoublesSarah Stewart / Garrett Krueger vs Alexis Johnson / Kyle Lofquist6-3, 6-2
2026-02-21Lost 01
L#2 DoublesChandra Thomas / Garrett Krueger vs Yuen Chiang / Darrin Cohen4-6, 4-6
2026-02-06Won 10
W#2 DoublesSarah Stewart / Barry Seeman vs Kimi Watada / Thomas Lyhne6-4, 5-7, 1-0
2026-02-01Won 10
W#3 DoublesJessica Kim / Logan Boersma vs Lena Larionova / Alex James3-6, 6-1, 1-0
2026-01-11Won 10
W#2 DoublesBritni Arguelles / Logan Boersma vs Kimi Watada / Ryan Lehmer6-1, 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 standings27 teams · 18&Over MX9.0
TeamWLInd. WInd. LSets lostGames lost
1GOLDMAN TC 18MX9.0A10027311185
2RINCONADA PK 18MX9.0A9123716217
3SAN PABLO PK 18MX9.0A9124619193
4SUNNYVALE MTC 18MX9.0B9122821214
5SUNNYVALE MTC 18MX9.0C8224618225
6PLEASANTON 18MX9.0A82201027266
7SEASCAPE SC 18MX9.0A8221928251
8JOHNSON RANCH 18MX9.0A73181226258
9ALMADEN SR 18MX9.0A73181231293
10ST MARY 18MX9.0A73191131265
11SHELDON PK 18MX9.0A64201025237
12BAY TREES PK 18MX9.0A64181227232
13RIO DEL ORO 18MX9.0A64131740315
14FREMONT TC 18MX9.0A46131738296
15LOS GATOS SR 18MX9.0A46131741304
16BAY CLUB SANTA CLARA 18MX9.0A46121841293
17SUNNYVALE TC/SUNNYVALE MTC 18MX9.0A46111942278
18MENLO ATHERTON HS 18MX9.0A37131741321
19CUESTA TC 18MX9.0A3792143307
20WALNUT CREEK RC/Walnut Creek TC 18MX9.0A37111944311
21OLYMPIC 18MX9.0A2561531202
22PLEASANTON 18MX9.0B2892142310
23BAY CLUB COURTSIDE 18MX9.0A1982245304
24GOLD RIVER RC 18MX9.0A1992147321
25SAN PABLO PK 18MX9.0B1962450330
26MARIN TC 18MX9.0A0731837228
27PINEWOOD PK 18MX9.0A01062451328

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 4.19 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.

4.84
Felipe Rincon
usually #3 Doubles 50%, also #1 Doubles 25% · published
4.48
Timothy Rogers
usually #3 Doubles 50%, also #1 Doubles 38% · published
4.41
Britni Arguelles
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.31
Noa Ramo-Larios
usually #1 Doubles 100% · published
4.30
Jeff Wong
usually #1 Doubles 50%, also #2 Doubles 33% · published
4.29
Chandra Thomas
usually #1 Doubles 50%, also #2 Doubles 33% · published 4.5
4.28
Logan Boersma
usually #1 Doubles 33%, also #3 Doubles 33% · published
4.26
Garrett Krueger
usually #2 Doubles 50%, also #3 Doubles 50% · published
4.25
Kristin Ginn
usually #2 Doubles 44%, also #1 Doubles 33% · published
4.25
Jessica Kim
usually #3 Doubles 100% · published
4.17
Barry Seeman
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.16
Bryan Rodrigues
usually #1 Doubles 46%, also #2 Doubles 27% · published 4.5
4.09
Nathan Gong
usually #2 Doubles 55%, also #1 Doubles 36% · published
4.06
Tiffany Liew
usually #2 Doubles 75%, also #1 Doubles 25% · published
4.03
Christopher Nichols
usually #1 Doubles 57%, also #3 Doubles 29% · published 4
3.92
Angela Merola
usually #2 Doubles 43%, also #1 Doubles 43% · published 4
3.90
Nancy Deschane
usually #1 Doubles 40%, also #2 Doubles 40% · published
3.83
Kristen Foster
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.76
Sarah Stewart
usually #3 Doubles 60%, also #1 Doubles 20% · published
Kunal Jain
usually #1 Doubles 50%, also #3 Doubles 33% · 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 Liew1643% games−0.9% vs expected
Christopher Nichols + Kristen Foster4152% games−3.1% vs expected
Bryan Rodrigues + Jessica Kim4257% gamesnot enough data
Timothy Rogers + Kristen Foster123 matchesnot enough data
Timothy Rogers + Jessica Kim033 matchesnot enough data
Timothy Rogers + Nancy Deschane213 matchesnot enough data
Christopher Nichols + Noa Ramo-Larios213 matchesnot enough data
Bryan Rodrigues + Chandra Thomas033 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.

Felipe Rincon
8W–0L career · 4 lines in 2026
no projection at this level
4.84
Timothy Rogers
22W–11L career · 8 lines in 2026
<1%56%43%
4.48
4.5
Britni Arguelles
8W–2L career · 2 lines in 2026
<1%74%25%
4.41
Noa Ramo-Larios
17W–13L career · 4 lines in 2026
1%90%9%
4.31
Jeff Wong
18W–2L career · 6 lines in 2026
2%91%7%
4.30
4.5
Chandra Thomas
27W–14L career · type A · 6 lines in 2026
2%91%7%
4.29
Logan Boersma
14W–2L career · 3 lines in 2026
2%92%5%
4.28
Garrett Krueger
18W–9L career · 2 lines in 2026
3%92%5%
4.26
Kristin Ginn
5W–10L career · 9 lines in 2026
4%93%3%
4.25
Jessica Kim
32W–15L career · 6 lines in 2026
4%93%3%
4.25
4.5
Barry Seeman
8W–4L career · 3 lines in 2026
11%88%1%
4.17
4.5
Bryan Rodrigues
24W–15L career · 11 lines in 2026
12%87%1%
4.16
Nathan Gong
11W–12L career · 11 lines in 2026
26%73%<1%
4.09
Tiffany Liew
14W–12L career · 12 lines in 2026
32%68%<1%
4.06
4
Christopher Nichols
19W–13L career · 7 lines in 2026
<1%43%57%
4.03
4
Angela Merola
46W–18L career · 7 lines in 2026
<1%71%28%
3.92
Nancy Deschane
20W–15L career · 5 lines in 2026
<1%75%25%
3.90
Kristen Foster
20W–10L career · 4 lines in 2026
1%87%12%
3.83
Sarah Stewart
21W–9L career · 5 lines in 2026
96%4%<1%
3.76
Kunal Jain
7W–4L career · 6 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.