Asan Mugunghwa vs Suwon Bluewings: match statistics

Suwon Bluewings are the favorites: they sit 2nd in the table versus Asan’s 8th; Suwon have 8 wins, 2 draws and 2 losses this season, while Asan have 4 wins, 4 draws and 4 losses. In their last 5 matches Suwon scored 8 goals and have 3 wins, 1 draw and 1 loss (averaging 2 points per match), whereas Asan scored 4 goals and have 1 win, 2 draws and 2 losses (averaging 1 point per match). Defensively Suwon are markedly superior: they concede 0.6 goals on average away and keep clean sheets in 80% of away games, while Asan concede 1.57 goals per home match and have only a 29% clean sheet rate. Offensively Asan have a higher home goals average (1.86) and a higher shot conversion rate (17% vs 11% for Suwon), but the visitors generate more chances: Suwon’s average xG away is 1.54 versus Asan’s 1.37 and they register 5.4 shots on target per match versus 4. Considering the visitors’ better recent form (2 points per match in the last 5 vs 1 for Asan), more stable defense and possession edge (59% vs 53%), I predict a Suwon Bluewings victory.

Suwon Bluewings display a very strong defense this season: 80% clean sheets and an average of 0.6 goals conceded per match, while Asan Mugunghwa concede 0.86 on average and have 43% clean sheets. Attacks are similar on the season (Asan 1.43 goals and xG 1.39 vs Suwon 1.40 goals and xG 1.54), but in the last 5 matches Asan scores only 0.8 goals per game (4 goals) whereas Suwon averages 1.6 goals per game (8 goals). Season BTTS rates are 43% for Asan and only 20% for Suwon, with the league average at 62% — this indicates Suwon more often closes matches with a clean sheet. Additionally Suwon allows 0.95 xG against on average and registers 5.4 shots on target per match versus Asan's 3.71, demonstrating control and the ability to limit the opponent. In light of these data the most likely scenario is 'No' (No Goal) for BTTS at approximately 65% vs 35% for 'Yes' (BTTS - Yes), mainly due to Suwon's 80% CS and Asan's reduced efficiency in the last 5 fixtures.

The xG-based model projects 1.17 goals for Asan (xG 1.39 vs opponent xG 0.95) and 1.30 goals for Suwon (xG 1.54 vs opponent xG 1.05), totaling ~2.47 goals. Season metrics confirm a moderate scoring profile: Asan averages 1.43 goals per game, Suwon 1.40, with Suwon keeping as many as 80% clean sheets away and Asan 43% at home. Matches with more than 3.5 goals occur in only 29% of Asan’s games and 20% of Suwon’s (i.e., 71% and 80% under 3.5), indicating low risk of a very high-scoring outcome. Poisson calculations for lambda=2.47 yield roughly a 71% probability for Over 1.5, ~45% for Over 2.5 and ~24% for Over 3.5, so the strongest signal is Under 3.5 (about 76% probability). Recommendation: back Under 3.5 goals, since the 2.47-goal forecast combined with Suwon’s 80% clean sheets and season-long 71–80% of matches under 3.5 provides a clear edge.

Suwon Bluewings are the favorites: they have an 80% win rate this season and average 2.4 points per match versus Asan’s 2.0, with xG 1.54 vs 1.39 and 5.4 shots on target vs 3.71, indicating superior chance production. The visitors lead at the break in 60% of games and score an average of 0.6 goals by half-time (home side 0.57), and Suwon have not conceded by half-time (0.0 goals on average and 100% clean sheets at the break), so they can more easily control the first half. Additionally Suwon are strong after the break (an average of 2.0 points gained in second halves and wins in 60% of second halves), which increases the likelihood of a Full-Time victory. Therefore I assign the highest probability to the 2/2 scenario (visitors leading at the break and winning), with X/2 (draw at half-time, visitors win) as the second-strongest signal.