China · Super League · Sat 25 Apr 2026 11:00 UTC · All tips 25 Apr

Chengdu Rongcheng Chengdu Rongcheng
4 – 0
Full time
Zhejiang Professional Zhejiang Professional

Chengdu Rongcheng vs Zhejiang Professional betting tips

Chengdu Rongcheng vs Zhejiang Professional finished 4-0. Moderate historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.

What are the tips for Chengdu Rongcheng vs Zhejiang Professional?

Home to Score
Pick: Home Over 0.5 · Prob 87%
VIP Won
Home Over/Under 1.5
Pick: Home Over 1.5 · Prob 67%
VIP Won
Over/Under 2.5
Pick: Over 2.5 · Odds 1.45 · Prob 62%
VIP Won
1X2
Pick: Final Time 1 · Odds 1.37 · Prob 60%
VIP Won
Over/Under 3.5
Pick: Over 3.5 · Odds 2.15 · Prob 41%
VIP Won

Match insights: form, goals and model lean

Model lean

Home Over 0.5 87% Other 13%

Head to head (4)

3Chengdu Rongcheng
1Draws
0Zhejiang Professional

Recent form

Chengdu Rongcheng
W W W W W D D W D
21 pts / 9
Zhejiang Professional
L D L D W D L D D D
9 pts / 10

Goals (avg last matches)

2.2 / 1.1 Chengdu Rongcheng scored / conceded
1.2 / 1.8 Zhejiang Professional scored / conceded

Tip analysis

Moderate historical data available. Strong lean toward Home Over 0.5 based on this side's recent goal averages.

Previous meetings and recent results

Who will win Chengdu Rongcheng vs Zhejiang Professional?

32 community votes

50% Chengdu Rongcheng
16% Draw
34% Zhejiang Professional

Voting closed

Frequently asked questions

Who will win Chengdu Rongcheng vs Zhejiang Professional?

Our model currently leans Home Over 0.5 with about 87% confidence. See free and VIP markets below.

What are the odds for Chengdu Rongcheng vs Zhejiang Professional?

Odds appear next to unlocked free tips. VIP odds unlock in the app or after full time.

Where can I see H2H and recent form?

Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.

Last updated 25 Oct 2026 22:17 UTC · Insights built from Betting Tips historical predictions · Data quality: thin