Wuhan Three Towns
1 – 0
Full time
Chongqing Tonglianglong
Wuhan Three Towns vs Chongqing Tonglianglong betting tips
Wuhan Three Towns vs Chongqing Tonglianglong finished 1-0. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Wuhan Three Towns vs Chongqing Tonglianglong?
1X2
Pick: Final Time 1X
· Odds 1.31
· Prob 73%
VIP
Won
Away to Score
Pick: Away Over 0.5
· Prob 72%
VIP
Lost
Both Teams To Score
Pick: BTTS Yes
· Odds 1.72
· Prob 57%
VIP
Lost
Over/Under 2.5
Pick: Over 2.5
· Odds 1.91
· Prob 55%
VIP
Lost
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
Previous meetings and recent results
Head to head
Wuhan Three Towns recent
18 Jul 2026
Wuhan Three Towns vs Shenzhen Peng City
2-0
27 Jun 2026
Beijing Guoan vs Wuhan Three Towns
1-0
31 May 2026
Wuhan Three Towns vs Yunnan Yukun
1-1
24 May 2026
Shandong Taishan vs Wuhan Three Towns
3-3
20 May 2026
Shanghai Shenhua vs Wuhan Three Towns
2-2
16 May 2026
Wuhan Three Towns vs Liaoning Tieren
2-2
10 May 2026
Qingdao West Coast vs Wuhan Three Towns
1-1
6 May 2026
Wuhan Three Towns vs Qingdao Hainiu
1-3
1 May 2026
Tianjin Jinmen Tiger vs Wuhan Three Towns
2-2
25 Apr 2026
Shanghai Port vs Wuhan Three Towns
4-0
Who will win Wuhan Three Towns vs Chongqing Tonglianglong?
Frequently asked questions
Who will win Wuhan Three Towns vs Chongqing Tonglianglong?
Our model currently leans Final Time 1X with about 73% confidence. See free and VIP markets below.
What are the odds for Wuhan Three Towns vs Chongqing Tonglianglong?
The featured free market shows odds around 1.31 (decimal). Switch odds format in the header if you prefer American or Fractional.
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 26 Oct 2026 07:16 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient