Wuhan Three Towns vs Chongqing Tongliang Long: match statistics

Wuhan Three Towns average 14 shots and 4.75 on target per home match, translating to 1.5 goals and xG 1.54; Chongqing away average is only 6.56 shots and 3 on target, with 1.0 goals and xG 0.77. That gives the hosts a clear advantage in chance creation — nearly double the xG (1.54 vs 0.77) and more than twice the attempts (14 vs 6.56). However, the visitors sit 2nd in the table and have more wins this season (7 vs 3), and over the last 5 matches they average 1.6 points per game versus 1.0 for Wuhan. Defensively the teams are similar: Wuhan concedes 1.25 goals at home, Chongqing 1.22 away, and the share of matches without scoring is 25% vs 22%. Considering the hosts’ superiority in creating chances combined with the visitors’ higher conversion (15% vs 11%), I forecast a Wuhan win with a probability distribution of 50% home, 25% draw, 25% away.

Seasonal BTTS rates are 60% for Wuhan and 56% for Chongqing, versus a league BTTS average of 65%, which alone increases the probability of both teams scoring. Wuhan averages 1.4 goals per match with xG 1.17, while Chongqing concedes xG 1.67 and allows 1.22 goals per match season-to-date — these metrics suggest the home side has a realistic chance to score (1.4 and 1.17 vs 1.67 and 1.22). The visitors average 1.0 goals this season but have scored 6 goals in their last 5 matches (1.2 per match) and their BTTS in the last 5 is 60%, so Chongqing can also find the net. Additionally, Wuhan generates significantly more shots (10.6 vs 6.56) and shots on target (3.6 vs 3.0), and the league averages 3.09 goals per match, which favors goal exchange; with 40% clean sheets expected for Wuhan and 33% for Chongqing the balance points to a higher likelihood of BTTS. Based on this I assess BTTS probability at 72% vs 28% and recommend the

An xG-based model projects ~2.29 total goals: Wuhan ~1.42 goals (average of home xG 1.17 and Chongqing’s conceded xG 1.67) and Chongqing ~0.87 goals (average of away xG 0.77 and Wuhan’s conceded xG 0.96). At this total the probability distribution yields Over 1.5 ≈67%, Over 2.5 ≈40% and Over 3.5 ≈20% (Under: 33%, 60%, 80% respectively). Stats support this: Wuhan at home has 70% of matches over 1.5 goals, Chongqing 56%, and the league averages 3.09 goals per match — so at least two goals are likely. Wuhan generates more chances (10.6 shots and 3.6 on target per match with xG 1.17) than Chongqing (6.56 shots and xG 0.77), while Chongqing concedes a high average xG of 1.67, increasing the hosts’ scoring opportunities. Considering the above, the strongest and safest pick is Over 1.5.

Seasonally Wuhan shows superior offensive metrics: 1.4 goals per match versus 1.0 for Chongqing and xG 1.17 versus 0.77, while the visitors concede an xG of 1.67. At Half-Time both teams statistically rarely dominate in goals – the home side averages 0.3 goals by the break, the visitors 0.56, and draws at Half-Time occur in 60% of the home team’s matches and 44% of the visitors’ matches, indicating a high share of draws after 45 minutes. In the second half Wuhan is clearly more effective: they score on average 1.1 goals after the break versus 0.44 for Chongqing, with 5 goals in minutes 46–60 and 4 in 76–90, while the visitors concede on average 0.89 goals in the second half (including 3 conceded in 46–60 and 3 in 61–75). Given these figures the strongest signal is a Half-Time/Full-Time draw at the break and home win at the final whistle (X/1) – I estimate it at 34%, alternatively 1/1 at 15% or X/X at 12%.