Seongnam vs Gyeongnam: match statistics

Seongnam has a clear defensive edge at home — they concede on average 0.83 goals per match and record 33% clean sheets, whereas Gyeongnam concede 1.5 goals away and have no clean sheets (0%). The hosts also create better opportunities by xG: Seongnam’s home xG averages 1.56 versus Gyeongnam’s 1.14 on the road, and shots on target 3.5 versus 2.25 indicate higher quality of the hosts’ attempts. Seongnam’s problem is efficiency — they score only 0.67 goals per home match, have a conversion rate of about 6% and fail to score in 67% of games, while Gyeongnam have scored 6 goals in their last 5 matches and have a higher points average over that period (1.2 vs 1.0 for Seongnam). Considering Seongnam’s advantage in xG and defence but their low finishing, I tip a home win; I set probabilities at 50% for the hosts, 30% for a draw and 20% for the away side.

The BTTS - Yes scenario appears more likely as Seongnam has BTTS in 67% of matches this season, Gyeongnam in 50%, and the league average is 61%. Gyeongnam has no clean sheets this season (0% clean sheets), while Seongnam keeps a clean sheet in only 17% of games, reducing the likelihood of a No Goal outcome. Both teams concede over 1.5 goals per game this season (Seongnam 1.67, Gyeongnam 1.5) and in the last 5 matches Gyeongnam concedes on average 1.6 goals, increasing the probability of goals at both ends. Offensively Seongnam’s xG in the last 5 matches is 1.9 despite scoring only 0.6 goals on average, and Gyeongnam scores 1.2 goals on average in the last 5, so there is a realistic chance both sides will find the net.

The xG model indicates an expected 1.18 goals for Seongnam and 1.20 goals for Gyeongnam (total 2.38), calculated as the average of team xG_for and opponent xG_against: Seongnam xG_for 1.04 vs Gyeongnam xG_against 1.32; Gyeongnam xG_for 1.14 vs Seongnam xG_against 1.26. Seasonal goal averages are 1.17 (Seongnam) and 1.00 (Gyeongnam), while goals conceded are 1.67 per match for Seongnam vs 1.50 for Gyeongnam, suggesting an open game and a higher probability of at least 2 goals. Both teams have 100% of matches with at least one goal (seasonOver05 100%/100%) and Over1.5 rates of 67% (Seongnam) and 75% (Gyeongnam), against a league average of 2.67 goals, which strongly favors Over 1.5. Over 2.5 is more balanced: Seongnam has 67% of matches >2.5 vs 25% for Gyeongnam, but Gyeongnam have recorded 60% Over2.5 in their last 5 matches, so I assign a 52% probability to Over 2.5 and only 29% to Over 3.5 (seasonal >3.5: 33%/25%). Therefore the best betting signal is Over 1.5 — the expected 2.38 goals and high seasonal Over1.5 rates (67–75%) provide the strongest edge.

Seongnam led at the break in 2 home matches (33%), while Gyeongnam did not lead at the break away (0%), which favors the home side in the first half. Both teams have an identical average goals at half-time (0.5 vs 0.5), but Seongnam concedes an average of 0.67 goals by half-time versus 1.0 for the visitors, so the hosts are slightly more defensively stable before the break. Over the full match the numbers are balanced: xG 1.04 for Seongnam versus 1.14 for Gyeongnam, seasonal goals per game 1.17 vs 1.00 and shots on target 2.83 vs 2.25 with conversion 13% vs 10%, giving the hosts a slight efficiency edge. The visitors are, however, dangerous after the break (points per game in second halves 1.25 vs 0.83 for the hosts) and in the last 5 matches have a 40% win rate versus 20% for the hosts, so there is a real risk of a turnaround. Considering Seongnam’s advantage at the break (33% vs 0%), better conversion and similar xG values, I tip 1/1 as the strongest scenario (home side leading at half-time and winning Full-Time).