FC Seoul vs Sangju Sangmu: match statistics

FC Seoul demonstrate a clear advantage at home — they sit 1st and average 2.25 goals per game with xG 1.48, keeping a clean sheet in 75% of matches, while Sangju Sangmu are 10th and on the road score 1.0 goal with xG 1.22 and only 40% clean sheets. The difference in attacking quality is pronounced: Seoul register on average 5 shots on target and 11.75 attempts per game with a conversion rate of 19%, whereas Sangju have 2.8 shots on target and 9.8 attempts with a 10% conversion. Form also favors the hosts — FC Seoul have won 4 of their last 5 matches, scoring 10 goals and averaging 2.4 points per game over the last five, while Sangju have 1 win, 5 goals scored and 1.0 point per game. Defensively the hosts’ advantage is significant: Seoul concede 0.25 goals on average at home versus Sangju’s 0.8 conceded away, and in the last 5 matches the hosts have conceded 3 goals while the visitors have conceded 7. Considering the superiority in conversion (19% vs 10%), higher number of shots on target (5 vs 2.8) and form (4 wins vs 1), I assess FC Seoul’s win probability at around 70%, draw 18% and Sangju win 12%.

Seasonal BTTS rates are high: FC Seoul has 80% of matches with both teams scoring, Sangju 60%, averaging 70% and exceeding the league average of 55%. The home side has recorded no clean sheets at home (0%), while the visitors have 40% clean sheets away, so the lack of home clean sheets increases the likelihood of Sangju scoring. xG is 1.72 for FC Seoul and 1.22 for Sangju, with xG against of 1.32 (Seoul) and 1.49 (Sangju), suggesting both teams create and concede chances. In the last 5 matches FC Seoul averages 2.0 goals scored and concedes 0.6, while Sangju scores 1.0 and concedes 1.4, so the hosts are in better scoring form and the visitors have been more prone to conceding recently. Considering the dominant seasonal signals (80% vs 60%), the higher home xG (1.72) and the lack of home clean sheets, I assign 72% to BTTS - Yes (Goal/Goal) and 28% to No Goal (clean sheet expected).

The xG-based model (xG_for home 1.72 vs xG_against away 1.49; xG_for away 1.22 vs xG_against home 1.32) yields expected goals of approximately 1.61 for FC Seoul and 1.27 for Sangju Sangmu, totaling 2.88 goals. With this expected total I estimate ~78% probability for Over 1.5, ~55% for Over 2.5 and ~33% for Over 3.5. FC Seoul averages 14.4 shots and 4.6 shots on target per match versus 9.8 and 2.8 for Sangju, and in the last 5 matches Seoul scored 10 goals (2.0 avg) compared to the visitors’ 5 goals (1.0 avg), confirming the home side’s offensive advantage. Seasonally both teams have only 20% of matches with over 2.5 goals, but Over 1.5 occurs much more frequently (100% of FC Seoul matches and 80% of Sangju matches), and home matches finish with both teams scoring in 80% of games, further increasing the likelihood of at least two goals. As a result, the strongest and most valuable signal from the data is Over 1.5 (line 1.5, side: Over).

The most likely scenario is 1/1 (home team leads at the break and wins): FC Seoul has a higher offensive xG of 1.72 versus Sangju’s 1.22 and has won 4 of its last 5 matches (80%), averaging 2.0 goals per match compared to the opponent’s 1.0. FC Seoul also dominates first halves — over the last five games the hosts averaged 1.2 goals by half-time while Sangju averaged 0.4, with the hosts leading at the break in 60% of those matches. Additionally, FC Seoul averages 14.4 shots and 4.6 on target per match versus Sangju’s 9.8 and 2.8, which combined with the higher xG increases the chance of maintaining the lead and closing out the match with a win. However, one should note that across the season the hosts have 80% draws and Sangju 60% draws, and both teams have a high share of matches with goals (FC Seoul 80% and Sangju 60%), so the X/X scenario I consider significant (21%). For these reasons I assign 1/1 the highest probability (28%), while leaving a moderate chance for a draw or a turnaround after the break.