Teams

King Iron Monkey/He/Palo Alto

2025 Tri-Level 3.0 · 3.5

12 players · average NTRP 3.00 / NO. CALIFORNIA

View scouting list →
Schedule3 played
2025-04-05vs Pain in the Ace/Austero/OakleyLost 12
L#1 DoublesWenxin He / Peng Qu vs Mithilesh Salunke / Joel Belangdal6-7, 3-6
L#2 DoublesKe Lei / Nanxuan Huang vs Bong Publico / Chris Adams7-6, 5-7, 1-0
W#3 DoublesJiye Wu / Chen Wang vs Abi Sri / Eduardo Zerbini6-3, 6-2
2025-04-04vs Thunderbolts/Kudupu/FremontWon 21
W#1 DoublesWenxin He / Shang Liu vs Aditya Bhuwania / Manish Tomar6-4, 6-3
L#2 DoublesNanxuan Huang / Shi Dong vs Govind Duddi / ARUNKUMAR VIJAYAKUMAR5-7, 3-6
W#3 DoublesJo Zhang / Edison Huang vs Vikas Shah / Gulshan Kharbanda6-2, 6-3
2025-04-04vs DH Bravo/Austero/OakleyWon 30
W#1 DoublesPing Yu / Shang Liu vs Jeff Dalton / Aaron Lee7-5, 6-4
W#2 DoublesKe Lei / Sergei Prusov vs Bruno Oliveira / Cesar Lozano6-4, 6-3
W#3 DoublesChen Wang / Jo Zhang vs Lucas Trevino / Michael Lovett6-7, 6-3, 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 3.5 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 3.33 estimated across 10 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.

3.77
Shang Liu
usually #1 Doubles 100% · published
3.62
Ping Yu
usually #1 Doubles 100% · published
3.50
Peng Qu
usually #1 Doubles 100% · published
3.41
Wenxin He
usually #1 Doubles 100% · published
3.37
Shi Dong
usually #2 Doubles 100% · published
3.32
Edison Huang
usually #3 Doubles 100% · published
3.25
Nanxuan Huang
usually #2 Doubles 100% · published
3.08
Jiye Wu
usually #3 Doubles 100% · published
3.05
Chen Wang
usually #3 Doubles 100% · published 3
2.89
Jo Zhang
usually #3 Doubles 100% · published
Ke Lei
usually #2 Doubles 100% · published
Sergei Prusov
usually #2 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.

Shang Liu
40W–31L career · 2 lines in 2025
2%92%5%
3.77
Ping Yu
25W–20L career · 1 line in 2025
<1%19%81%
3.62
Peng Qu
13W–18L career · 1 line in 2025
51%49%<1%
3.50
Wenxin He
13W–26L career · 2 lines in 2025
<1%74%26%
3.41
Shi Dong
36W–21L career · 1 line in 2025
<1%82%18%
3.37
Edison Huang
4W–4L career · 1 line in 2025
1%89%10%
3.32
Nanxuan Huang
11W–7L career · 2 lines in 2025
4%93%4%
3.25
Jiye Wu
16W–16L career · 1 line in 2025
<1%27%73%
3.08
3
Chen Wang
30W–6L career · 2 lines in 2025
<1%36%64%
3.05
Jo Zhang
14W–7L career · 2 lines in 2025
<1%79%21%
2.89
Ke Lei
3W–3L career · 2 lines in 2025
not enough data
Sergei Prusov
1W–0L career · 1 line 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.