Dukla Praha vs Baník Ostrava: match statistics

I predict a home win: Dukla Praha has a 19% home win rate versus just 6% for Baník away and averages 1.2 points per match in the last 5 fixtures compared to Baník's 0.8. Dukla scores 0.75 goals per home match, Baník 0.65 away; although Baník registers more shots (13.06 vs 9.25) and higher xG (1.53 vs 1.12), their conversion rate is only 5% versus Dukla's 8%. Defensively Dukla concedes 1.31 goals at home on average, Baník 1.59 away; Dukla records 25% clean sheets at home vs Baník's 12%, giving the hosts a defensive edge. Both teams often fail to score (44% of Dukla matches without a goal vs 47% for Baník) and I expect a low-scoring game with a slight edge to Dukla. Therefore I estimate probabilities of roughly 50% for the home win, 30% for a draw and 20% for the away win.

Data are mixed: seasonal BTTS is 29% for Dukla and 47% for Baník, however both teams have high average xG (Dukla xG_for 1.68, Baník xG_for 1.53) and both defenses concede chances (Baník xG_against 1.59, Dukla xG_against 1.36). Baník score only 0.65 goals on average away this season despite xG 1.53 and a low conversion rate of 5%, indicating chance creation without reliable finishing (29 goals this season from 13.06 shots). Dukla at home average 14.65 shots (4.71 on target), scoring 1.06 and conceding 1.29 goals season-to-date, and their xG 1.68 versus the opponent’s defensive xG 1.59 increases the probability of the hosts scoring. In the last 5 matches Dukla had BTTS in 60% of games, Baník in 40%, and the league average BTTS is 51%, so signals from xG and recent form outweigh the seasonal low finishing. Taking everything into account, I assess BTTS 'yes' at 58% and 'no' at 42% — I pick 'yes' as the strongest signal despite the risk of Baník’s poor conversion.

The xG estimate gives 1.64 for Dukla (average of 1.68 xG from the home attack and 1.59 xG conceded by Baník) and 1.45 for Baník (average of 1.53 xG from the away attack and 1.36 xG conceded by Dukla), totaling an expected 3.09 goals. With an expected total of 3.09 goals, the Poisson model indicates roughly an 81% chance of Over 1.5 goals (probability of 0–1 goals ≈ 18.6%), about 60% chance of Over 2.5 goals (probability ≤2 ≈ 40.3%) and roughly 37% chance of Over 3.5 goals (probability ≥4 ≈ 37.3%). Seasonally both teams have only 29% of matches with Over 2.5 goals, but in the last 5 matches Dukla had 60% of games with >2.5 goals and Baník 40%, which supports a higher goal tempo. Additionally, both teams combine for an average of 27.71 shots per match (14.65 + 13.06) and have low clean sheet rates of 29% and 12%, which favors goal production. Based on this data the strongest signal is Over 1.5 (≈81%), therefore I recommend playing Over 1.5.

First-half analysis suggests few goals: expected goals to half-time are 0.47 for Dukla and 0.29 for Baník, which translates to roughly a 53% chance of a draw at the break and the most common exact half-time score being 0-0 (~47%). Dukla has the edge in the second half — they score an average of 0.59 goals after the break and concede 0.53, while Baník scores 0.35 and concedes 0.88, so the home side is more likely to improve their position after the break. Additionally, Dukla generates higher xG (1.68 vs 1.53), records more shots on target (4.71 vs 3.82) and has a higher shot efficiency (7% vs 5%), which increases the probability that a lead at the break will be maintained or extended. As a result the model gives a slightly higher probability to the Dukla lead at half-time and win at full-time scenario (HT/FT 1/1 — approx. 25%) than to alternatives (e.g. half-time draw/full-time draw ~25%), so I select 1/1 as the primary signal. Seasonal indicators further support this assessment: Dukla wins 29% of home matches and averages 1.06 points per game, while Baník has a 6% win rate and averages 0.47 points.