Gyeongnam vs Yongin City: match statistics

I back the home win ('1') because Gyeongnam averages 1.43 goals in home matches and fails to score in only 14% of those games, while Yongin City averages 1.00 goals away and fails to score in 40% of away fixtures. The visitors generate more shots (10.8 vs 9.29) and have a higher away xG (1.31 vs home 1.10) and 3.4 shots on target on average vs 2.86, but their conversion rate is lower (9% vs 15%), indicating higher volume of chances with poorer finishing. In the last five matches both teams scored 6 goals; Gyeongnam in that span has 2 wins, 1 draw and 2 losses (points per game 1.4), while Yongin has 1 win, 3 draws and 1 loss (points per game 1.2), giving a slight form edge to the hosts. Defensively the differences are marginal — hosts concede 1.71 goals at home, visitors 1.6 away — but Gyeongnam’s superior finishing and the fact that home matches average 3.14 goals suggest an open game favoring the hosts. Overall I expect a narrow home victory, as the edge in conversion (15% vs 9%) and low share of games without a goal for Gyeongnam (14% vs 40%) outweigh the visitors’ advantage in shot volume.

Seasonal statistics strongly support BTTS: Gyeongnam has BTTS at 75%, Yongin City 60%, averaging 67.5% which exceeds the league rate of 62%. In the last 5 matches Yongin records BTTS in 80%, Gyeongnam in 60%; over that period both teams scored 6 goals each, while Gyeongnam conceded 8 goals versus Yongin’s 6, i.e. averaging 1.6 and 1.2 goals conceded respectively. Yongin generates more xG (1.31 vs 1.13 for Gyeongnam), but Gyeongnam is more efficient in finishing (shot conversion 18% vs 9% for Yongin), and Gyeongnam also allows higher xG against (1.57 vs 1.25), all of which indicates realistic chances for goals at both ends. Clean sheets are rare (Gyeongnam 13%, Yongin 20%), and matches over 2.5 goals occur in 63% and 60% of cases, further supporting the BTTS scenario. Based on this I assess BTTS probability at 70% versus 30% No BTTS and pick "BTTS - Yes" as the strongest signal.

Both teams show a clear tendency toward matches with at least 2 goals: Gyeongnam had over 1.5 goals in 75% of their season matches, and Yongin City in 80%, averaging 77.5%. Average xG is 1.13 for the home side and 1.31 for the away, while opponents’ average xG allowed is 1.57 (Gyeongnam) and 1.25 (Yongin), yielding a forecast of 1.19 goals for Gyeongnam and 1.44 for Yongin, totals 2.63. The percentage of matches in which both teams scored is 75% for the home team and 60% for the away, and the league averages 2.71 goals per match, so a multi-goal scenario is consistent. Based on this I recommend Over 1.5 as the strongest signal (I estimate 78% for Over 1.5), Over 2.5 is moderately likely (~62%), and Over 3.5 is less certain (~45%).

At half-time a draw is most likely: the home side have been level at the break in 50% of matches and the away side in 60%, giving an average of about a 55% chance of an HT draw. However, most goals come after the break — the average goals in the second half are 1.63 for hosts and 1.8 for visitors, and the proportion of matches with at least one goal after the break is 75% (homes) and 80% (aways). Full-time more often features both teams scoring: the season rate of both teams scoring is 75% for hosts and 60% for away teams, while season draw rates are 50% (homes) and 40% (aways), which increases the probability of a scored draw (e.g. 1-1). Therefore the safest scenario is a Half-Time draw and a Full-Time draw (X/X — 33%); alternatives are HT draw then home win (X/1 — 13%) or HT draw then away win (X/2 — 9%), while maintaining the lead from HT is less common (1/1 8%, 2/2 10%).