Dongguan United vs Changchun Yatai: match statistics

I back Changchun Yatai to win based on superior form and defensive stability. Dongguan generates more chances at home (avg. 13 shots and 5 on target per match with xG 1.51) compared to Changchun away (7.5 shots, 1.5 on target, xG 0.94), but the hosts have serious defensive issues. Dongguan have conceded 11 goals in their last 5 matches and average 2.0 goals conceded per home game, while Changchun have conceded only 5 goals in their last five matches and average 1.5 conceded away. Additionally, the visitors sit 7th versus Dongguan’s 15th and have 1.2 points per match in the last 5 games compared to the hosts’ 0.6, so I assign the visitors a 45% chance, the hosts 30% and a draw 25%.

Dongguan United scores on average 1.5 goals and concedes 0.5 per match, while Changchun Yatai averages 0.5 scored and 1.5 conceded, indicating a home offensive edge and weak away finishing. xG confirms Dongguan’s advantage: hosts have 1.28 xG vs. 0.94 xG for the visitors, and Changchun produces only 1.5 shots on target with a 7% conversion rate, i.e. few high-quality chances. Season BTTS rates are 50% for both teams versus 45% in the league, but Dongguan has 50% clean sheets seasonally and only 20% BTTS in the last 5 matches, while Changchun has 0% clean sheets and 40% BTTS in the last 5. Although Dongguan concedes an average of 2.2 goals in the last 5 (11 conceded in 5), Changchun scores only 0.8 goals in that period, which, combined with the visitors’ low efficiency, limits the likelihood of Goal/Goal. Therefore I forecast 38% for BTTS - Yes and 62% for BTTS - No — the strongest signals are the low away goals average (0.5 on the season, 0.8 in the last 5) and Dongguan’s high clean sheet rate (50%).

xG analysis indicates a total expected goals figure of about 2.29: expected xG for the home team ~1.16 (based on attack xG 1.28 and opponent defense xG 1.04), and expected xG for the away team ~1.13 (attack xG 0.94 and home defense xG 1.32). A Poisson model with lambda 2.29 estimates: probability Over 1.5 goals ≈67%, Over 2.5 ≈40% and Over 3.5 ≈20% (i.e. Under 3.5 ≈80%). Seasonal data support a moderately low-scoring outcome: the share of matches with at least 4 goals is 0.0% for both teams, while the share of matches Over 2.5 goals is 50.0% for each side; in the last 5 matches the home team scored 3 goals (0.6 per match), the away team 4 goals (0.8 per match). The home side creates more chances (4.0 shots on target and 9.5 shots per match with a 16.0% conversion versus 1.5 shots on target, 7.5 shots and 7.0% conversion for the visitors), so I expect a few chances but not enough to anticipate 4+ goals. Therefore I recommend an Under 3.5 as the strongest signal (under 3.5, ~80% probability); Over 1.5 remains likely (~67%), while Over 2.5 appears risky (~40%).

Dongguan United are clear favorites at home: they have a 100.0% win rate at their stadium and average 3.0 points per match, with 1.5 goals scored and 0.5 conceded (seasonPPG_home = 3.0, seasonScoredAVG_home = 1.5, seasonConcededAVG_home = 0.5). At half-time the hosts have been drawing in 100.0% of home games and average 0.5 goals scored and 0.5 conceded by the 45th minute (drawingAtHTPercentage_home = 100.0, scoredAVGHT_home = 0.5, concededAVGHT_home = 0.5), which strongly indicates a draw at the break. In the second half Dongguan averages 1.0 goal (scored_2hg_avg_home = 1.0) versus 0.0 for Changchun (scored_2hg_avg_away = 0.0), and the hosts’ win share in second halves is 100.0% (wins_2hg_percentage_home = 100.0), so they most often decide the match after the break. Additionally the home side creates better chances: xG 1.28 vs 0.94 (xg_for_avg_home = 1.28, xg_for_avg_away = 0.94), 4.0 shots on target per match versus 1.5 (shotsOnTargetAVG_home = 4.0, shotsOnTargetAVG_away = 1.5) and a conversion rate of 16% vs 7%, which increases the likelihood of turning a half-time draw into a win. For these reasons my strongest signal is X/1 (draw at Half-Time, home win Full-Time) and I have assigned the highest probability to this scenario.