China U18 W

China U18 W — Overview

Results Breakdown

China U18 W's last 5 results: 5 regulation wins, 0 overtime wins, 0 shootout wins, 0 regulation losses, 0 OT losses, 0 SO losses. Understanding win-type distribution helps evaluate how reliant a team is on extra time.

Reg Win

OT Win

SO Win

Reg Loss

OT Loss

SO Loss

Based on last 5 games

Recent Form

China U18 W's last 5 matches: 5 wins, 0 draws, 0 losses. Most recent game was against Latvia U18 W. Recent form is one of the strongest predictors of upcoming match outcomes.

vs Latvia U18 W(Home)

5 – 12024-01-21

@ Kazakhstan U18 W(Away)

0 – 82024-01-20

vs Turkey U18 W(Home)

11 – 02024-01-18

vs Great Britain U18 W(Home)

6 – 22024-01-16

@ Netherlands U18 W(Away)

0 – 182024-01-15

Season Statistics (2024/2025)

China U18 W have played 5 matches this season with 5 wins (100.0% win rate), scoring 9.60 goals (9.60 per game) and conceding 0.60. These splits reveal attacking strength, defensive solidity, and home/away patterns useful for match-result and over/under betting.

Played

5–0

W–L Record

100.0%

Win %

9.60 / 0.60

Avg GF / GA

100.0%

Home Win %

100.0%

Away Win %

WWWWW

Last 5

Win streak

Best streak

40.0%

Both Score %

100.0%

Over 5.5

Win/Loss Types

Reg Win

OT Win

SO Win

Reg Loss

OT Loss

SO Loss

Comeback Win

Shutout Win

100.0%

P1 Lead → Win

Goals by Period

Green = scored, Red = conceded

China U18 W Squad

Player	#	Position	Age	Nationality
1B. Zhang	—	Position—	Age—	Nationality—
2F. Meng	—	Position—	Age—	Nationality—
3J. Hu	—	Position—	Age—	Nationality—
4J. Wang	—	Position—	Age—	Nationality—
5J. Zhang	—	Position—	Age—	Nationality—
6K. Li	—	Position—	Age—	Nationality—
7S. Wu	—	Position—	Age—	Nationality—
8W. Yue	—	Position—	Age—	Nationality—
9X. Wu	—	Position—	Age—	Nationality—
10X. Yu	—	Position—	Age—	Nationality—
11Y. Chang	—	Position—	Age—	Nationality—
12Y. Wang	—	Position—	Age—	Nationality—
13Z. He	—	Position—	Age—	Nationality—
14Z. Zhao	—	Position—	Age—	Nationality—

China U18 W's full squad of 14 players (avg. age ) organised by position. Squad depth and player availability directly affect match predictions — thin squads underperform when fixtures pile up.