DAC vs Žilina: match statistics

DAC (2nd place) has a clear advantage in chance creation at home: on average 60% possession, 20.43 shots and 6.86 shots on target per match, while Žilina (3rd place) away records 48% possession, 11.86 shots and 4.21 shots on target. This is also reflected in xG — DAC at home have 2.22 xG versus Žilina’s 1.37 xG away, although the hosts have lower conversion (9%) compared to Žilina’s 17%. The visitors are very efficient, scoring 10 goals in the last 5 matches and averaging 2.0 goals away, but on the road they concede 1.96 xG against and lose on average 1.36 goals. DAC at home concede 1.14 goals on average and have a positive home goal difference (+9), however in the last 5 matches the hosts scored 7 and conceded 9, indicating some defensive issues. Considering the hosts’ dominance in possession and higher xG combined with Žilina’s greater finishing efficiency, I predict a DAC win with probabilities: 55% home, 25% draw, 20% away.

Both teams have high season goals averages: DAC 1.93 and Žilina 2.00, with matches featuring both teams scoring at 50% for DAC and 64% for Žilina (league average 54%), which already signals BTTS - Yes. In the last 5 fixtures the signal is stronger: DAC has BTTS in 60% of games, Žilina in 80% (average 70%), with DAC over the last 5 games scoring 1.4 and conceding 1.8 per match, and Žilina scoring 2.0 and conceding 1.2. xG supports this approach: DAC xG_for 1.59 versus Žilina xG_against 1.96, and Žilina xG_for 1.37 against DAC xG_against 1.50 — combined xG ~2.96 exceeds the league goals average 2.84, favoring goals from both sides. Clean sheets are uncommon (36% and 29%), and Žilina shows higher shot efficiency (conversion 17% with an average of 4.21 shots on target), therefore I assign a higher probability to BTTS = Yes (72%) versus No (28%).

Both teams demonstrate high offensive potential: DAC averages 1.93 goals per game, Žilina 2.00, with xG of 1.59 (DAC) and 1.37 (Žilina). Using the average of each team’s attack and the opponent’s defense yields projections of 1.78 goals for DAC and 1.44 for Žilina, totaling 3.22 expected goals for the match. A Poisson model at this level gives roughly an 83% probability for Over 1.5 goals and about 62% for Over 2.5 (Over 3.5 ≈ 40%), which aligns with the seasonal over rates: 64%/79% (1.5) and 57%/71% (2.5) for DAC/Žilina. Additionally, DAC had 5/5 matches with Over 2.5 in their last 5, Žilina 3/5, and BTTS is 50% (DAC) and 64% (Žilina), increasing the likelihood of goals from both sides. Therefore I recommend betting Over 1.5 as the strongest and most reliable signal; Over 2.5 remains an attractive alternative.

The main insight from the data is DAC’s advantage at the break: the hosts led at half-time in 9 matches (64%) and score on average 1.07 goals by the break versus 0.79 for Žilina, so a scenario of the hosts leading after 45 minutes is most likely. DAC also holds a clear edge in expected chances and offense — xG 1.59 versus 1.37 for the visitors and more shots on target (5.29 vs 4.21), and the season-long home-win conversion is 57% vs 43% for Žilina, which supports maintaining the victory. At the opposite end, Žilina is stronger after the break — the visitors average 1.21 goals in the second half versus 0.86 for DAC, and second-half goal averages are 2.14 for Žilina compared to 1.50 for DAC, so there is a real risk of an equalizer or a draw after 90 minutes. As a result I assign the highest probability to the 1/1 scenario (36%), with significant backing for 1/X (18%) as an alternative and a lower probability of a full turnaround to 1/2 (10%).