Suzhou Dongwu vs Guangzhou E-Power: match statistics

Guangzhou E-Power (1st) has a clear edge over Suzhou Dongwu (16th) — the visitors scored 23 goals this season vs. the hosts' 8, with Suzhou's home goal balance at -7 compared to +3 for the visitors on the road. In the last 5 matches Suzhou has 0 wins, 1 draw and 4 losses, scoring 5 and conceding 13 goals and averaging 0.2 points per match; Guangzhou over the same period has 2 wins, 1 draw and 2 losses, scoring 9 and conceding 8 and averaging 1.4 points per match. Offensively, the visitors on the road average 13.6 shots and 4.0 on target per match with a conversion rate of 13%, translating to 1.8 goals per match, while Suzhou at home averages 10.67 shots, 2.5 on target, 6% conversion and 0.67 goals per match. Defensively Suzhou concedes 1.83 goals per home match and has lost 83% of home games (clean sheets 17%), whereas Guangzhou concedes 1.2 goals away (clean sheets 0%), so the advantage lies in the visitors' result stability; xG shows similar values (home xG 1.44 vs away xG 1.51), suggesting Guangzhou’s higher finishing will be decisive. Considering league position, better shot conversion (13% vs 6%), higher average shots and significantly worse form and defense of the hosts, I tip the visitors to win ('2') with a probability of 70%.

I back BTTS - Yes at approximately 75% vs 25% No Goal. Primary rationale is the high away BTTS rate: Guangzhou has a season BTTS of 80% and BTTS in 80% of their last 5 matches. Seasonally Suzhou posts BTTS 43% and 57% clean sheets, but in their last 5 games they concede an average of 2.6 goals (13 conceded), which clearly weakens their defensive form. xG and shot metrics also support both teams scoring — Suzhou xG_for 1.96 vs xG_against_away 1.53, and Guangzhou xG_for 1.51 vs xG_against_home 0.95; hosts average 5.57 shots on target and 18.43 attempts versus 4.0 and 13.6 for the visitors, so goal-scoring opportunities exist. With the away side at 80% BTTS, a parallel 80% run in the last 5 matches and Suzhou’s recent 2.6 goals conceded per game, the Goal/Goal scenario appears significantly more likely.

Statistical analysis indicates an advantage for the Over market, especially on the 1.5 line: Suzhou have 71% of matches with over 1.5 goals and Guangzhou 80%, with seasonal goals averages of 2.0 (home) and 1.8 (away). Calculating expected goals as the average of attack and opponent defense yields 1.75 xG for Suzhou (1.96 home attack vs 1.53 away defense) and 1.23 xG for Guangzhou (1.51 away attack vs 0.95 home defense), totaling 2.98. In the last 5 matches Suzhou scored 5 goals (1.0 per game) and conceded 13 (2.6 per game), while Guangzhou scored 9 (1.8) and conceded 8 (1.6); both teams had 80% of matches over 2.5 goals in that period. Additionally, the home side averages 18.43 shots with 5.57 on target, and the visitors 13.6 shots with 4.0 on target, suggesting high offensive activity and potential for many goal-scoring situations. Based on this, the safest pick is Over 1.5 (highest probability), while Over 2.5 carries a moderate signal (~68%) given the combined xG ~2.98 and recent form.

The most likely scenario is the home side leading at the break and winning by full-time (1/1) — hosts lead at the break in 57% of matches and win 71% of their fixtures this season. This is supported by the quality of chances: the home team generates 1.96 xG per match versus 1.51 for the visitors, while conceding 0.95 xG compared to 1.53 for the away side (net difference roughly +1.01 vs -0.02). Homes average 18.43 shots with 5.57 on target per game versus 13.6 and 4.0 for guests, and an average of 2.0 goals scored versus 1.8 for opponents, indicating superiority in chance creation and finishing. Although the visitors score early (3 goals in minutes 0–15 versus 1 for the home team), hosts score 1.0 goal by half-time while conceding 0.43 and have 86% of matches with at least one goal before the break; additionally, in second halves the home side has collected 13 points and records 43% wins, 56% draws and 0% losses in second halves, which supports maintaining the lead. Caution is advised due to the hosts’ poorer form over the last five matches (0% wins and an average of 2.6 goals conceded), so the distribution also allows for draws and away victories.