Dubrava Zagreb vs Cibalia: match statistics

I back the away win (Cibalia). Cibalia sits 4th with 11 wins and 34 goals scored, while Dubrava is 6th with 9 wins and 24 goals. In the last 5 matches Cibalia scored 9 and conceded 6, averaging 1.2 points per game, whereas Dubrava scored 5 and conceded 12, averaging 0.8 points. Defensively the visitors are stronger: Cibalia concedes 1.17 goals away vs Dubrava’s 1.46 at home, with clean sheet rates of 42% vs the hosts’ 23%. Offensively Dubrava attempts more shots at home (10.69 vs 9.45) and posts a slightly higher xG at home (1.45 vs 1.30), but shot conversion is similar (13% vs 12%), indicating comparable chance quality and greater defensive stability for Cibalia. Considering the superior goal difference (34–23), higher clean sheet share and better recent form, I assess probabilities as 55% for the away win, 25% for a draw and 20% for the home win.

Based on the data I assign a higher probability to BTTS 'Yes': in the last 5 matches Dubrava Zagreb had BTTS in 80% (4 of 5), and Cibalia in 60% (3 of 5), while season values are 42% and 50%. In the last 5 meetings Dubrava Zagreb scored 5 and conceded 12 goals (avg 1.0 scored and 2.4 conceded per match), while Cibalia scored 9 and conceded 6 (avg 1.8 and 1.2), indicating Dubrava has been leaking goals recently and Cibalia is able to capitalize on chances. xG confirms threat from both sides: last 5 matches show xG 1.44 for Dubrava Zagreb and 1.34 for Cibalia, and season xG is 1.59 versus 1.30, meaning both teams generate over 1.3 expected goals. Counterarguments are season clean sheets — Dubrava has 50% and Cibalia 42% — and moderate season BTTS, but the high goals conceded by Dubrava (12 in 5) and 9 goals scored by Cibalia in the last 5 outweigh that. As a result I forecast BTTS 'Yes' 62% vs 'No' 38%, because short-term form, goals conceded and scored and xG >1.3 for both teams provide a stronger signal for both teams to score.

Dubrava scores on average 1.83 goals per match, Cibalia 1.00; home xG is 1.59, away xG 1.30, with xG conceded 1.29 (Dubrava) and 1.26 (Cibalia). Averaging opponent attack and defense yields expected goals of 1.43 for Dubrava and 1.29 for Cibalia, total 2.72; a Poisson model with λ=2.72 gives ~75.5% probability of at least 2 goals (Over 1.5) and ~51% for at least 3 goals (Over 2.5). Seasonally Dubrava has 83% of matches over 1.5, Cibalia 50%, and in the last 5 matches both teams have 80% of matches over 2.5; additionally Dubrava in the last 5 matches scored 5 and conceded 12 goals, Cibalia scored 9 and conceded 6, which favors a higher goal count. Dubrava is also more efficient in attack (10.92 shots, 4.33 on target, conversion 17%) than Cibalia (9.45, 3.91, conversion 12%), strengthening the case for more goals; therefore the strongest signal from the data is Over 1.5.

The most likely scenario is a draw at half-time and a home win at full-time (X/1). The home side were level at the break in 58% of matches and led at half-time in only 25%; they average 0.50 goals by half-time versus 0.33 for the visitors and concede 0.33 at half-time versus 0.58 for the away side, suggesting a low-scoring first half. After the break the hosts are proactive — in 92% of their games at least one goal is scored in the second half, and they themselves scored 5 goals in minutes 46–60 and 7 goals in minutes 61–75 (12 goals in total between the 46th and 75th minutes), so they have the offensive edge after the interval. The seasonal goals average is 1.83 for the home team versus 1.00 for the visitors, and the hosts win 58% of matches compared to 33% for the away side, which justifies a conversion from a half-time draw to a home win. Therefore I assign X/1 a 35% probability as the strongest signal, followed by 1/1 at 20% and X/X at 19% as other realistic scenarios.