Ulsan vs Incheon United: match statistics

Ulsan generates at home an average of 1.96 xG and 17.44 shots per match, including 5.44 shots on target, while Incheon away posts only 1.33 xG, 10.38 shots and 3.63 shots on target, giving the hosts an advantage in chance creation. However, Incheon is more efficient in finishing — their conversion rate is 13% versus Ulsan’s 9% — and concedes only 1.00 goal on average away compared to Ulsan’s 1.67 conceded at home. In the last 5 matches Ulsan scored 6 and conceded 9, averaging 1.0 point per game with just 1 win, whereas Incheon scored 5 and conceded 3, averaging 1.2 points per game with 2 wins, indicating a better defensive trend for the visitors. Additionally, Incheon keeps 38% clean sheets on the road, while Ulsan has only 22% clean sheets at home, which increases the visitors’ chance of limiting the risk of conceding. Considering Ulsan’s higher quantity and quality of created chances (1.96 xG vs 1.33 xG) and the hosts’ defensive frailties, I predict a narrow Ulsan victory, with a realistic risk of a draw.

Seasonal indicators show a moderate probability for BTTS: Ulsan has BTTS in 40% of matches, Incheon in 50%, and the league average is 49%. In the last 5 matches signals are mixed: Ulsan had BTTS in 80% (4 of 5), while Incheon 0% (0 of 5). Looking at xG, both teams create a lot of chances — average xG in the last 5 is 1.71 for Ulsan and 1.69 for Incheon, and xG against is 1.69 (Ulsan) and 0.99 (Incheon), yielding a combined expected xG of around 3.4 which favors goals from both sides. Additionally Ulsan averages 4.1 shots on target and 11.3 shots per game, while Incheon has higher finishing efficiency (13% vs 10%), increasing the likelihood of converting chances. Due to the high combined xG and the fact Ulsan conceded 9 goals in their last 5 matches, I consider the "BTTS = Yes" outcome more likely and estimate its probability at 65%.

xG analysis indicates an elevated goal expectation: Ulsan’s attacking xG is 1.48 versus Incheon’s conceded xG of 1.26, yielding expected goals for Ulsan ≈1.37. For Incheon, attacking xG 1.33 versus xG conceded to Ulsan 1.29 gives expected ≈1.31, totaling ≈2.68 goals per match, above the league average of 2.29. A Poisson model with λ=2.68 calculates roughly a 75% probability of Over 1.5 goals, ~50% for Over 2.5 and ~28% for Over 3.5, and seasonal rates confirm the trend (Ulsan has 50% Over1.5 and 50% Over2.5; Incheon 63% Over1.5 and 50% Over2.5). Additionally, in the last 5 matches Ulsan scores on average 1.2 and concedes 1.8 goals, while Incheon scores 1.0 and concedes 0.6, increasing volatility and the likelihood of at least 2 goals; therefore the recommendation is Over on the 1.5 line as the strongest signal.

Based on the data, Incheon has the edge: seasonally they average 1.5 points per match versus Ulsan’s 1.2, and in the last five matches the visitors won 40% of games versus 20% for the home side. At half-time Incheon led in 38% of matches and were level in 63%, scoring an average of 0.88 goals by the break versus Ulsan’s 0.6, and conceding only 0.25 goals by half-time versus the home side’s 0.5. In the second half the visitors average 1.25 goals and have 38% of second-half wins, while Ulsan averages 1.1 and only 20% such wins, which suggests Incheon more often decides the match after the break. Although Ulsan generates higher xG (1.48 vs 1.33) and more shots (11.3 vs 10.38) and shots on target (4.1 vs 3.63), Incheon is more efficient (13% conversion vs 10%) and has a better half-time clean sheet rate (75% vs 50%). Therefore the strongest signal is a Half-Time draw with a Full-Time win for the visitors (X/2) — I assess this option at 36%; the second scenario is visitors leading at the break and winning the match (2/2) at 18%.