Pogoń-Sokół Lubaczów vs Sokół Kolbuszowa Dolna: match statistics

Pogoń-Sokół Lubaczów holds a clear offensive advantage: at home they average 1.83 goals per game and register 8 shots on target from 13 attempts, whereas Sokół Kolbuszowa Dolna averages only 0.58 goals and 2.2 shots on target on the road. The hosts also show greater efficiency – home conversion rate is 23% and only 25% of matches without scoring, while the visitors have as many as 58% of away matches without a goal. Defensively Pogoń-Sokół concedes 0.92 goals on average at their stadium and keeps a clean sheet in 50% of games, despite opponents generating 2.07 xG against them; Sokół Kolbuszowa Dolna concedes 2.0 goals away and has only 17% clean sheets, indicating defensive issues for the visitors. In the last 5 matches the hosts scored 9 goals and collected 3 wins (PPG 1.8), while the visitors scored 6 goals and 2 wins (PPG 1.4), so form also favors the hosts. Considering the advantage in shots on target (8 vs 2.2), the difference in average goals (1.83 vs 0.58) and the high percentage of matches without a goal for the visitors (58%), I forecast a home win.

Statistical analysis favors a BTTS scenario: Pogoń–Sokół Lubaczów have a season BTTS rate of 58% and 60% in the last 5 matches, while the league records 56% BTTS matches, indicating the home side frequently participates in Goal/Goal games. Sokół Kolbuszowa Dolna, however, has a season BTTS of only 25% and averages 0.58 goals per game (23 goals this season), which significantly reduces their chance of scoring a second goal, although in the last 5 matches the visitors averaged 1.2 goals (6 goals in last 5). Both defenses are vulnerable — hosts concede 1.75 goals per game, visitors 2.00, and clean sheet expected percentage is only 17% for both, so a clean sheet is unlikely. Additionally, xG shows the hosts generate 1.20 xG (with xG against Sokół Kolbuszowa at 1.80), while the visitors have xG_for 1.12; hosts average 3.44 shots on target versus 2.20 for the visitors, increasing the probability of scoring from both sides. Considering the home BTTS trend of 58%, the league level of 56%, and defensive susceptibility (1.75 and 2.00 goals conceded), I tip BTTS - Yes with a probability of 60% versus 40% for No Goal.

The xG-based model estimates about 1.50 expected goals for the home side (home attacking xG 1.20 vs opponents’ conceded xG 1.80 averaging 1.50) and 1.20 for the away side (away attacking xG 1.12 vs home conceded xG 1.28 giving 1.20), totaling approximately 2.70 xG. Season-long metrics confirm a tendency toward goals: home teams have 75% of matches over 1.5 goals, away teams 83%, and the league averages 3.18 goals per match; homes have scored 43 and conceded 30, away teams 23 scored and 45 conceded. In the last 5 matches homes averaged 1.8 goals, away teams 1.2 (sum 3.0), and homes register 3.44 shots on target vs 2.2 for guests, indicating an advantage in chance creation. A simple Poisson model with λ=2.70 yields probabilities of over 1.5 ≈75%, over 2.5 ≈51% and over 3.5 ≈29%. Based on this, the strongest signal is Over 1.5 goals and I recommend this line as the best pick.

The most likely scenario is the home side leading at Half-Time and winning Full-Time (1/1). The home team averages 1.00 goals by the break compared to 0.10 for the visitors (scoredAVGHT_home 1.0 vs scoredAVGHT_away 0.1) and lead at the break in 33% of matches versus only 10% for the away side (leadingAtHTPercentage_home 33% vs leadingAtHTPercentage_away 10%). Additionally, the hosts register an average of 3.44 shots on target per match compared to 2.20 for their opponents and have an xG of 1.20 versus 1.12 for the visitors, while the away defense concedes an average xG of 1.80 (xg_against_avg_away 1.8), which increases the likelihood of the home side scoring after the break. Recent form over the last five matches also favors the hosts: 60% wins for them versus 40% for the visitors (last5_winPercentage_overall_home 60% vs last5_winPercentage_overall_away 40%), hence the highest share for 1/1 (31%).