Qingdao Jonoon vs Chongqing Tongliang Long: match statistics

I back the home win because Qingdao holds a clear edge in chance quality and finishing — at home they average 2.0 goals per game and 11.5 shots (4.33 on target), whereas the visitors average 1.0 goal and 6.33 shots (2.67 on target) away. In the last 5 matches the hosts scored 12 goals (2.4 per game) and averaged 1.8 points per game, while Chongqing managed only 4 goals (0.8 per game) and 0.6 points per game. Home xG for Qingdao is 1.28 versus 0.73 for the visitors on the road, indicating Qingdao creates more high-value scoring opportunities. Despite similar goals conceded averages (1.17 per game each), the hosts have a +5 home goal differential and a lower share of games without scoring (17% vs 33% for the visitors), reflecting superior finishing. Considering Qingdao’s 67% home win rate and Chongqing’s absence of wins in the last 5 matches, I forecast a victory for the home side.

BTTS scenario appears more likely: league-wide matches with both teams scoring stand at 63%, with Qingdao at 57% and Chongqing at 50% this season. A particularly strong signal is Qingdao’s 100% BTTS in the last 5 matches with averages of 2.4 goals scored and 1.8 conceded, while Chongqing has 60% BTTS in the last 5 and concedes 1.4 goals on average. xG data shows Qingdao creates 1.19 xG per match, Chongqing allows 1.59 xG to opponents, and the home side recently conceded 1.64 xG, which together indicate chance creation at both ends; meanwhile Chongqing only creates 0.73 xG. Additionally Qingdao averages 4.0 shots on target and 10.43 total shots versus Chongqing’s 2.67 and 6.33, and Chongqing’s season average goals conceded of 1.17 plus recent form lead me to estimate BTTS - Yes at ~70% versus ~30% No Goal.

The forecast favors Over 1.5 due to a combined expected goals level around 2.50 (expected goals: home 1.60, away 0.90). The home team scores 1.43 goals per season on average with xG 1.19, and in the last 5 matches they have scored 12 goals (2.4 avg) and conceded 9 (1.8). The away team records 1.00 goals per season with xG 0.73, while allowing 1.59 xG per match; the home side averages 10.43 shots and 4.0 on target versus the visitors' 6.33/2.67, indicating a creation advantage. Season metrics show Over 1.5 in 71% of home matches and 50% of away matches, and the fact that the home team had 100% Over 2.5 in the last 5 fixtures raises the probability of at least 2 goals to about 78%. Therefore I recommend betting Over 1.5 as the strongest signal from the data.

At half-time the most likely outcome is a draw: the home side average 0.43 goals by the break, the visitors 0.67, and the home team are level at half-time in 71% of matches, which strongly supports HT = draw. After the break the home team have the edge — they average 1.0 goals in the second half versus 0.33 for the visitors, while in the last 5 matches the hosts scored on average 1.6 second-half goals and collected 2.2 points in second halves compared to 0.4 goals and 0.6 points for their opponents. Additionally, the home team create significantly more chances: 10.43 shots and 1.19 xG per match versus 6.33 shots and 0.73 xG for the visitors, and the visitors concede 1.59 xG against them versus 0.76 conceded by the hosts, indicating a greater potential for a home turnaround after the break. Considering form and the numbers (hosts have 60% wins in the last 5 matches, visitors 0%), the most likely scenario is a draw at half-time and a home win by full-time, hence I select X/1.