Zhejiang FC vs Qingdao Jonoon: match statistics

I predict a home win (1). Zhejiang creates clearly more and better chances at home — home average xG is 1.80 versus Qingdao’s 1.29 xG away, and the hosts average 16.25 shots (6 on target) compared to the visitors’ 11.88 shots (3.75 on target). The visitors’ defense on the road is vulnerable: Qingdao concedes 2.13 goals per away match and has 0% clean sheets, while Zhejiang concedes 1.25 at home and has 25% clean sheets; xG against is 1.69 vs 1.32 in favor of the hosts. In the last 5 matches Zhejiang scored 6 goals and have a 1-1-3 record, averaging 0.8 points per game, whereas Qingdao scored 9 goals and average 1.0 point per game (1-2-2), which indicates better short-term offensive efficiency from the visitors but also greater susceptibility to conceding. Considering possession control (57% vs 47%), a higher volume of chances and the weaker away defense, I favor the hosts (home 55%, draw 25%, away win 20%).

Both teams display strong BTTS profiles this season: Zhejiang 67% and Qingdao 75%, versus a league average of 64%. Recent form over the last 5 matches remains solid: Zhejiang 60% BTTS, Qingdao 80% BTTS, and Qingdao has no clean sheets this season (0%). In goal output, Zhejiang scores 1.89 and concedes 1.22 per match, while Qingdao scores 1.25 and concedes 2.13, indicating both sides regularly take and concede chances. xG data corroborates this pattern: xG For 1.31 (Zhejiang) vs 1.29 (Qingdao) and xG Against 1.60 and 1.69, so both teams create scoring opportunities while remaining vulnerable defensively. Considering the 67%/75% seasonal BTTS, 60%/80% in the last 5, and Qingdao’s 0% clean sheets, I assess an 80% probability for BTTS - Yes and 20% for No Goal.

The xG- and match-statistics-based model favors the over market: expected xG are 1.50 for Zhejiang and 1.45 for Qingdao, totaling 2.95 goals. Seasonally Zhejiang have 67% of matches over 1.5 goals and Qingdao 88% (average (67+88)/2 = 77.5%); considering the league average of 3.07 goals and Qingdao’s form (9 scored in the last 5, 1.8 avg), I increase the probability of Over 1.5 to about 82%. For the 2.5 line, seasonal rates are 56% (Zhejiang) and 63% (Qingdao), average 59.5%, and xG_total ≈2.95 also moderately favors Over 2.5 (approx. 62%). For the 3.5 line, seasonal percentages are 56% and 50% (avg 53%), but Zhejiang’s higher goals conceded in the last 5 matches (12 conceded, 2.4 avg) and only a moderate xG edge limit confidence; therefore I rate Over 3.5 at about 52%. The best choice in terms of certainty is Over 1.5, because the high frequency of matches over 1.5 (67% and 88%), the projected 2.95 xG and the high share of both-teams-to-score matches (67% and 75%) form the strongest signal.

Zhejiang led at half-time in 5 of their matches to date, i.e. in 56% of games, and score on average 1.11 goals by the break versus just 0.13 for Qingdao, with the hosts conceding an average of 0.22 goals by half-time. Over full matches the hosts win 56% of games, scoring on average 1.89 goals per match compared to 1.25 for the visitors, and the hosts’ average points is 1.89 versus 0.5 for Qingdao. The visitors more often score in the second half — Qingdao averages 1.13 goals after the break while the hosts concede on average 1.0 goal after the restart, which increases the risk of an equaliser or a turnaround after half-time. Considering the 56% rate of the hosts leading at the break, the hosts’ superior finishing efficiency (conversion 16% vs 11%) and more shots on target (4.11 vs 3.75), I assign the highest probability — 42% — to the 1/1 scenario (lead at half-time and win at full-time). I allocate 20% to X/1, 15% to X/X, 11% to 1/X and 9% to X/2 as alternatives, and rate scenarios with Qingdao leading at half-time as negligible (0%) since the hosts have not been behind at the break this season.