Teams

MORGAN HILL TC/MORGAN HILL TC 18MX6.0B

2025 MIXED 18&Over · 18&Over MX6.0

22 players · average NTRP 3.33 / 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 →

Flight standings for 18&Over MX6.0 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 3.10 estimated across 21 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.

3.56
Octavio Farfan
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.51
Frederick Raniel
published
3.42
Art Biagtan
published 3.5
3.41
Viet Trinh
usually #2 Doubles 100% · published
3.38
Tal Davidson
published
3.28
Anton Andreev
published 3.5
3.25
Jett Koketsu
published
3.24
Mimi Fichter
published
3.22
Theresse Tan
published
3.13
Mona Lee
published
3.04
Melanie Cazenas
published
2.98
Ann Kerdchonphet
published 3
2.97
Tim D Nguyen
usually #2 Doubles 100% · published
2.91
Jessica Kong
usually #2 Doubles 100% · published
2.91
Elaine Kwok
published
2.87
Tomomi Albert
published
2.87
Manoj Kandlikar
published
2.86
Xiaoyun Han
published
2.85
Ignacio Quiroz
published
2.82
Vishy Nirakari
published
2.69
Marina Khitrov
published
Enmbel Farfan
usually #1 Doubles 50%, also #3 Doubles 50% · 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.

Tomomi Albert + Anton Andreev1535% games−5.3% vs expected
Elaine Kwok + Vishy Nirakari213 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.

Octavio Farfan
19W–18L career · 3 lines in 2025
34%66%<1%
3.56
Frederick Raniel
12W–4L career · no lines in 2025
<1%47%53%
3.51
3.5
Art Biagtan
15W–7L career · no lines in 2025
<1%72%28%
3.42
Viet Trinh
23W–12L career · 1 line in 2025
<1%73%27%
3.41
Tal Davidson
15W–9L career · no lines in 2025
<1%79%21%
3.38
3.5
Anton Andreev
33W–31L career · no lines in 2025
2%92%6%
3.28
Jett Koketsu
15W–18L career · no lines in 2025
4%93%3%
3.25
Mimi Fichter
37W–18L career · no lines in 2025
5%92%3%
3.24
Theresse Tan
6W–7L career · no lines in 2025
6%92%2%
3.22
Mona Lee
29W–14L career · no lines in 2025
<1%18%82%
3.13
Melanie Cazenas
11W–10L career · no lines in 2025
<1%38%62%
3.04
3
Ann Kerdchonphet
35W–12L career · no lines in 2025
<1%55%45%
2.98
Tim D Nguyen
10W–12L career · 1 line in 2025
<1%59%41%
2.97
Jessica Kong
26W–17L career · 1 line in 2025
<1%73%27%
2.91
Elaine Kwok
16W–16L career · no lines in 2025
75%25%<1%
2.91
Tomomi Albert
6W–21L career · no lines in 2025
82%18%<1%
2.87
Manoj Kandlikar
14W–14L career · no lines in 2025
<1%83%17%
2.87
Xiaoyun Han
11W–18L career · no lines in 2025
1%84%15%
2.86
Ignacio Quiroz
7W–7L career · no lines in 2025
1%86%13%
2.85
Vishy Nirakari
22W–14L career · no lines in 2025
1%89%10%
2.82
Marina Khitrov
7W–6L career · no lines in 2025
0%8%92%
2.69
Enmbel Farfan
5W–2L career · 2 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.