Teams

Federoar/Zhang/San Jose

2024 Tri-Level 3.5 · 4.0

8 players · average NTRP 4.00 / NO. CALIFORNIA

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Schedule2 played
2024-10-26vs Pain in the Ace/Austero/OakleyWon 20
W#1 DoublesLiang Song / Eric Xu vs Carlos Manuel / Douglas Nau6-2, 6-2
W#2 DoublesShang Liu / Wenxin He vs Kessler Amores / Aaron Lee6-3, 6-3
2024-10-25vs DVHS/Nagal/San RamonWon 20
W#2 DoublesCheng Zheng / Shang Liu vs Ryan Semmelmeyer / Punyanjan Sen6-3, 7-6
W#3 DoublesNing Li / Paul Xie vs Vishy Venkitakrishnan / Amrish Pantvaidya4-6, 6-4, 1-0
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 standings for 4.0 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 3.91 estimated across 7 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.

4.39
Eric Xu
usually #1 Doubles 100% · published
4.35
Ying Cai
published
3.86
Cheng Zheng
usually #2 Doubles 100% · published 4
3.80
Liang Song
usually #1 Doubles 100% · published
3.78
Paul Xie
usually #3 Doubles 100% · published
3.77
Shang Liu
usually #2 Doubles 100% · published
3.41
Wenxin He
usually #2 Doubles 100% · published
Ning Li
usually #3 Doubles 100% · published
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.

Eric Xu
30W–4L career · 1 line in 2024
<1%77%23%
4.39
Ying Cai
4W–2L career · no lines in 2024
1%85%14%
4.35
4
Cheng Zheng
6W–6L career · 1 line in 2024
<1%83%16%
3.86
Liang Song
3W–14L career · 1 line in 2024
92%8%<1%
3.80
Paul Xie
15W–7L career · 1 line in 2024
2%92%5%
3.78
Shang Liu
40W–31L career · 2 lines in 2024
2%92%5%
3.77
Wenxin He
13W–26L career · 1 line in 2024
<1%74%26%
3.41
Ning Li
5W–4L career · 1 line in 2024
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.