Gyeongnam vs Suwon: match statistics

Suwon holds a clear advantage: they are 3rd in the table while Gyeongnam sit 12th, and have scored 22 goals this season versus the hosts' 12. The visitors generate more high-quality chances — averaging 4.17 shots on target and 10.83 shots per match with xG 1.32, compared to the hosts' 2.83 on target, 8.67 shots and xG 1.04; shooting efficiency is 17% vs 13%. Defensively Suwon concede 1.5 goals on average away, Gyeongnam 1.67 at home, and the goal difference is +2 for Suwon away versus -3 for the hosts, which further favors the visitors. In the last five matches Suwon collect 1.6 points per game and Gyeongnam 1.4, but the significant gap in possession (57% vs 42%) and chance volume points to Suwon's superiority. Based on this, I forecast a win for the visitors, estimating a 55% probability for Suwon, 25% for a draw and 20% for the hosts.

Statistics strongly support BTTS: Gyeongnam has BTTS at 100% this season, Suwon 83%, and the league average is 63%. In the last 5 matches Gyeongnam recorded BTTS in 60% of games, Suwon in 100%, yielding a short-term average of 80%. Both teams score and concede — the home side averages 2.2 goals scored and 1.2 conceded per match, the visitors 1.83 scored and 1.5 conceded; in the last 5 matches the totals are 6 scored and 7 conceded for the hosts and 9 and 6 for the visitors. xG also indicates an exchange of chances: xG for is 1.46 (Gyeongnam) versus 1.32 (Suwon), and xG against 1.5 and 1.19, while the absence of clean sheets this season (0% and 0%) and a high percentage of matches over 2.5 goals (80% and 83%) further reinforce the both teams to score scenario, therefore I recommend BTTS 'Yes' with a probability of 82% vs 18%.

Both teams possess high goal potential: Gyeongnam scores an average of 2.20 goals per match, Suwon 1.83, and Over 1.5 has occurred in 100% of their games this season. xG analysis indicates roughly 1.33 xG for the home side (1.46 xG created by Gyeongnam and 1.19 xG conceded by Suwon) and about 1.41 xG for Suwon (1.32 xG created by Suwon and 1.50 xG conceded by Gyeongnam), yielding total expected goals ≈2.74. Seasonal Over 2.5 rates are 80% for Gyeongnam and 83% for Suwon (average 81.5%), although in the last 5 matches these values dropped to 40% and 60% (average 50%), so I apply a moderate short-term adjustment. Additionally, BTTS occurs in 100% of the home team’s matches and in 83% of the away team’s matches, and the Over 2.5 + BTTS combination appears in 80% of Gyeongnam’s games and 67% of Suwon’s, which strengthens the signal for a high-scoring game. Since the combined expected xG ≈2.74 is closer to 2.5 than 3.5 and seasonal Over 2.5 indicators are high, the strongest data-driven signal is Over 2.5 (selection: over, line 2.5).

Gyeongnam led at the break in 4 of 5 home matches (80%) and scores on average 1.2 goals by half-time while conceding 0.6, which strongly supports the home side leading before the break. However, in the last 5 matches overall the home team led at half-time only 20%, while the away side led in 40%, so I also account for the recent dip in form. Over the season Gyeongnam averages 2.2 goals per game versus Suwon’s 1.83; home wins are 60% with 40% draws, and both teams frequently score (BTTS: home 100%, away 83%), suggesting a home victory with goals from both sides. xG slightly favors the hosts 1.46 to 1.32, but Suwon allows less xG against (1.19 vs Gyeongnam’s 1.5), so the advantage may be most visible by half-time; therefore the most likely scenario is 1/1 (40%), with significant support for X/1 (18%) and a low chance of a turnaround after the break (1/2 4%).