Paju Citizen vs Ansan Greeners: match statistics

Paju Citizen are slight favorites at home: they average 1.00 goals scored and concede 1.25 per home match, while Ansan Greeners score 1.00 away but concede 2.00 on average. The defensive gap is reinforced by xG — Paju generate 1.07 xG at home and allow 1.31 xG, whereas Ansan away posts 1.08 xG but concedes as much as 2.12 xG. In the last 5 matches Paju have scored 5 and conceded 5 (2-1-2; 1.4 PPM), while Ansan have scored 4 and conceded 14 (1-0-4; 0.6 PPM). Shot statistics are similar — Paju average 8.5 shots and 3.0 on target at home, Ansan 8.0/3.67 away, and conversion rates are comparable (12% vs 13%) — suggesting the visitors’ edge in shots on target won’t offset their defensive frailties. Considering these figures (22 conceded by Paju this season vs 34 by Ansan, and 14 conceded by Ansan in the last 5), the projection is a home win.

Statistical analysis supports BTTS: Paju has season BTTS at 82% with 0% clean sheets, while Ansan has season BTTS 33% but 60% in the last 5 matches. Both teams average 1.0 goals scored (Paju 1.0, Ansan 1.0), but crucially both concede an average of 2.0 goals per match (Paju 2.0, Ansan 2.0), which significantly increases the likelihood that both will score. Additionally xG shows Paju generates 1.24 xG and Ansan 1.08 xG, while their xG against are 2.04 and 2.12, meaning both sides frequently allow opponent scoring opportunities. In the league BTTS occurs in 61% of matches, and Paju has 73% of games over 2.5 goals, amplifying the probability of an exchange of goals; in the last 5 matches Paju scored 5 and conceded 5, and Ansan scored 4 and conceded 14, which indicates goals are coming at both ends. Based on these numbers I rate 70% for 'Yes' (BTTS - Yes) and 30% for 'No' as the best betting pick.

The xG-based model projects a total of approximately 3.24 goals: expected xG for the home side = (1.24 + 2.12)/2 = 1.68, for the visitors = (1.08 + 2.04)/2 = 1.56. Applying a Poisson distribution to a total of 3.24 yields about an 83% probability for Over 1.5 goals, about 63% for Over 2.5 goals and about 41% for Over 3.5 goals (approx. 83.4%, 62.8%, 40.6%). Seasonal figures support this direction: Paju has 91% of matches Over 1.5, Ansan 83%; Paju records 73% Over 2.5 while Ansan 50%; the league average goals is 2.75 (56% Over 2.5). Additionally, in the last 5 fixtures the visitors conceded 14 goals (avg. 2.8 per game), the hosts conceded 5 (1.0 per game), and the shots on target and conversion rates (3.91 vs 3.67 and 11% vs 13%) indicate a significant number of scoring opportunities. Therefore the strongest signal is the Over line at 1.5 (pick: Over 1.5) with an estimated probability of around 83%, while Over 2.5 is a moderate option (~63%) and Over 3.5 is less likely (~41%).

The most likely scenario is a draw at half-time and an away win after 90 minutes (X/2). The visitors have superior league metrics: 33% wins versus the hosts' 18% and an average of 1.17 points per game compared to Paju’s 0.64, which increases their likelihood of a full-time victory. A draw at the break is realistic — the hosts were level at half-time in 36% of matches and the visitors in 50% — and the average goals before the break are 1.36 (Paju) vs 1.17 (Ansan), supporting an X at 45 minutes. Additionally, Paju is vulnerable to conceding after the break, especially late on (8 goals conceded in minutes 76–90), while Ansan has averaged 1.6 goals before half-time in their last 5 games versus 0.2 for the hosts, so the visitors’ advantage is likely to materialize in the second half.