Sangju Sangmu vs Ulsan: match statistics

I predict a draw as the most likely outcome: Sangju have not yet won at home (0% wins) and as many as 80% of their home matches end in draws. Ulsan has a clear seasonal advantage in attack (17 goals this season vs 12 for the hosts; average 1.4 goals per away match vs hosts’ 0.8) and better shot efficiency (9% vs 6%) with more shots on target (5.2 vs 4.6). Despite that, Ulsan are in weaker recent form — only 4 points from the last 5 matches (0.8 points per game) and 11 goals conceded in that period — whereas Sangju have 2 wins in their last 5 and average 1.6 points per game. xG metrics are similar (xG for: 1.72 hosts vs 1.81 guests; xG against: 1.32 vs 1.51), and the hosts dominate possession (57% vs 52%), suggesting game control but low efficiency for Sangju and no clean sheets (0%). For these reasons I expect a low-scoring match with a high probability of shared points, though Ulsan retain a realistic chance of winning due to superior efficiency.

I assess a high probability of BTTS: Sangju has a seasonal BTTS rate of 67%, Ulsan 60%, and in the last 5 matches Ulsan reaches as high as 80% BTTS. Both teams create chances — Sangju averages xG 2.09 with 18.17 shots (6.17 on target), Ulsan xG 1.81 with 15.2 shots (5.2 on target), which increases the likelihood of goals from both sides. Clean sheets are rare: Sangju has a 17% clean sheet rate, Ulsan 20%, and in the last 5 matches Ulsan concedes on average 2.2 goals (Sangju 1.4), so both sides are prone to conceding. Additionally Sangju’s home matches have 67% over 2.5 and 67% instances of over 2.5 with BTTS, while the league BTTS level is 52%, which together with recent form shifts the indication toward both teams scoring. On that basis I assign 75% to "yes" and 25% to "no" — top pick: yes.

I estimate Sangju Sangmu to score about 1.80 goals and Ulsan about 1.65, totaling 3.45 goals. Calculations are based on xG: Sangju xG_for 2.09 vs Ulsan xG_against 1.51 (average 1.80), and Ulsan xG_for 1.81 vs Sangju xG_against 1.50 (average 1.65). Seasonal indicators support this approach — Over 1.5 occurred for the home side in 67% of matches and for the away side in 100%, while BTTS is 67% (Sangju) and 60% (Ulsan). Additionally, in the last 5 matches Ulsan conceded on average 2.2 goals, which increases the likelihood of goals in this fixture. A Poisson model with total λ=3.45 yields ~86% for Over 1.5, ~67% for Over 2.5 and ~45% for Over 3.5, therefore I recommend Over 1.5 as the strongest signal.

Ulsan is the favorite to win overall: the visitors average 2.0 points per away match and win 60% of their away games, while Sangju have 1.17 PPG at home and a 33% win rate. However, half-time statistics favor the home side — Sangju score on average 0.67 goals by the break and lead at the break in 33% of matches versus 0.4 goals and 20% lead-at-the-break rate for Ulsan. The second half is decisive: Ulsan win the second half in 60% of cases and average 2.0 PPG in second halves, whereas Sangju win the second half only 17% and concede on average 0.67 goals after the break. For these reasons the most likely scenario is a draw at Half-Time and a Ulsan victory Full-Time (X/2).