Dalian Huayi vs Heilongjiang Lava Spring: match statistics

I project a draw. Both teams display similar form over the last 5 matches — the home side averages 1.4 points per game versus the visitors’ 1.6 ppg, giving the visitors a slight points edge. Dalian Huayi have scored more in that period (9 goals, 1.8 per game) but have also conceded more (7 goals, 1.4 per game) than Heilongjiang (6 goals scored, 1.2 per game; 5 goals conceded, 1.0 per game), so the hosts’ attacking output is offset by weaker defensive metrics. The visitors are also more consistent in results (2 wins, 2 draws, 1 loss) compared to the hosts (2 wins, 1 draw, 2 losses) and occupy a higher table position (5th vs 7th), which supports a measured draw. Given these balanced parameters I assign a 40% probability to a draw and 30% to each side winning.

Seasonal data are ambiguous: Dalian Huayi has a seasonal BTTS rate of 100% with averages of 1.5 goals scored and 1.0 conceded, with offensive xG 1.12 and xG against 1.25, whereas Heilongjiang Lava Spring’s season statistics are zeroed (goals 0.0, xG 0.0), indicating incomplete data for the away side. More relevant signals come from the last 5 matches, where both teams show BTTS at 80%: Dalian averages 1.8 scored and 1.4 conceded, Heilongjiang averages 1.2 scored and 1.0 conceded. Last-5 xG confirms offensive activity: Dalian posts 1.64 xG per match versus Heilongjiang’s 1.14 xG, with xG against of 1.34 and 1.47 respectively; in the last 5 fixtures Dalian scored 9 and conceded 7, Heilongjiang scored 6 and conceded 5. Considering the home team’s seasonal BTTS of 100%, the concordance in the last 5 matches (80% BTTS for both) and the home side’s higher offensive xG, the BTTS - Yes scenario is clearly stronger than No Goal/clean sheet scenarios, despite a league average BTTS of 53%. Based on this I recommend a 75% rating for 'Yes' and 25% for 'No', reflecting a strong home signal and consistency in last-5 data while acknowledging uncertainty in the away side’s seasonal data.

Statistical analysis shows Dalian averaged 1.8 goals and had xG 1.64 in the last 5 matches, while Heilongjiang averaged 1.2 goals with xG 1.14. The combined xG is 2.78 (1.64+1.14), which is above the league average total goals of 2.53 and corresponds to roughly 2.8 expected strikes. Additionally, the home side has had 100% of matches over 1.5 goals this season, and in the last 5 fixtures Dalian produced Over 2.5 in 100% of cases versus 40% for the opponent; BTTS occurred in 80% of the last 5 appearances for both teams. From the distribution model for total xG=2.78, the probability of at least 2 goals is approximately 77% and at least 3 goals approximately 53%, therefore the strongest market to play is Over 1.5. Over 2.5 has a moderate edge (~53%), and Over 3.5 is unlikely (~30%).

Data analysis shows a clear edge for Dalian Huayi: they average 1.5 goals per match with an xG of 1.12, while available data for Heilongjiang indicates a seasonal goals average of 0.0 and xG of 0.0. The hosts score on average 0.5 goals by half-time and concede 0.5 (scoredAVGHT_home = 0.5, concededAVGHT_home = 0.5), yielding a combined average of 1.0 first-half goals; in the last 5 matches the hosts had 7 first-half goals versus 4 for the opponent (7 vs 4). After the break the hosts are also active — AVG_2hg_home = 1.5, with an average of 1.0 goals scored after half-time (scored_2hg_avg_home = 1.0), which supports either recovering a deficit or consolidating a lead. Additionally, seasonally the hosts earn 2.0 points per match with a 50% win rate, compared to 0.0 seasonal points for the opponent, so the strongest signal is the hosts leading at the break and winning the match (HT/FT = 1/1). I therefore assign this scenario the highest probability (30%), allocating the remainder to draws and turnarounds due to some volatility in half-time results (leadingAtHTPercentage_home = 50%, last5_leadingAtHTPercentage_overall_away = 60%).