Shanghai SIPG vs Zhejiang FC: match statistics

I back the home win (1). Shanghai SIPG averages 2.17 goals per home match with xG 1.81, 64% possession and 15.5 shots per game, which gives them control and more chances. Zhejiang FC on the road scores only 1.2 goals on average, has xG 1.44 and fails to score in 60% of away fixtures, while conceding on average 2.2 goals away — a significant defensive weakness. Although over the last 5 matches Zhejiang averages 1.4 points per game versus Shanghai’s 1.0, the visitors’ away form (60% losses and 0% clean sheets) weakens their prospects. The difference in efficiency (conversion 14% vs 10%) and the higher number of on-target shots for the hosts (4.67 vs 4.2) leads me to assign 65% to a home win, 20% to a draw and 15% to an away win.

Recent 5-match form strongly supports BTTS: Shanghai SIPG has BTTS in 80% of games, Zhejiang FC in 60%, averaging 70% short-term. League-wide BTTS occurs in 60% of matches, and season team rates are 50% (Shanghai) and 40% (Zhejiang), so both league context and current form favor both teams scoring. Zhejiang concedes 2.2 goals per game on average and has 0% clean sheets, so they virtually always concede, while Shanghai concedes 1.6 goals in the last 5 matches — this increases the likelihood of both teams finding the net. Shanghai posts a season xG of 1.73, averages 5.83 shots on target and has scored 1.8 goals per game in the last 5, while Zhejiang has a season xG of 1.44 and a recent xG of 1.51, indicating both sides create scoring opportunities. Considering the 80%/60% form, Zhejiang’s 2.2 goals conceded and Shanghai’s higher xG, the strongest signal is BTTS - Yes; I estimate 75% probability for Yes and 25% for No.

The model estimates 1.56 xG for Shanghai (calculated from home xG for attack 1.73 and away xG conceded 1.39) and 1.37 xG for Zhejiang (from away xG for attack 1.44 and home xG conceded 1.30), totaling 2.93 goals, which is nearly identical to the league average of 2.94. Seasonal profiles show Zhejiang have 100% of matches with at least 2 goals, and Shanghai 67%, while the percentage of matches over 0.5 goals is 83% (home) and 100% (away), indicating both teams tend to be involved in scoring games. A Poisson simulation with λ=2.93 yields a 79% probability for Over 1.5, 56% for Over 2.5 and 34% for Over 3.5; additionally, in the last 5 matches Shanghai scored 9 and conceded 8, and Zhejiang scored 5 and conceded 9, suggesting an open game with chance exchanges. Average shots on target are 5.83 for Shanghai versus 4.2 for Zhejiang, and shot conversion rates are 7% (Shanghai) and 10% (Zhejiang), which supports the ability to convert chances and increases the likelihood of at least 2 goals in the match. Consequently the strongest signal is the Over line at 1.5 (selection: Over 1.5) with an estimated 79% probability, since xG, percentages of matches over 1.5 and shooting statistics are consistent and support at least two goals.

By half-time the statistics favor Shanghai: the hosts score an average of 0.5 goals by the break while Zhejiang concedes an average of 1.4 goals by the break (scoredAVGHT_home=0.5 vs concededAVGHT_away=1.4), which increases the likelihood of the hosts taking a lead at the break. In the last 5 matches the hosts led at half-time in 40% of games, while the visitors did so in 0% (last5_leadingAtHTPercentage_overall_home=40 vs last5_leadingAtHTPercentage_overall_away=0), confirming Shanghai’s early-match form. Over the full match the hosts also have superior defensive fundamentals and xG: Zhejiang concedes an average of 2.2 goals per game versus 0.67 conceded by Shanghai, and the hosts’ xG is 1.73 compared to the visitors’ 1.44 (seasonConcededAVG_away=2.2 vs seasonConcededAVG_home=0.67; xg_for_avg_home=1.73 vs xg_for_avg_away=1.44). There is a risk of a turnaround by Zhejiang, as the visitors score an average of 1.2 goals after the break and have a higher shot conversion rate of 10% versus 7% for the hosts (scored_2hg_avg_away=1.2; shot_conversion_rate_away=10 vs shot_conversion_rate_home=7), so I also anticipate a moderate probability of draws and goals in the second half. In summary, the strongest signal is the hosts leading at half-time and winning the match (HT/FT 1/1), therefore I assign the highest probability to that outcome.