Aluminij vs Mura: match statistics

I predict a victory for Aluminij — at home they average 1.43 goals per match, while Mura score only 0.71 on the road. Mura failed to score in 57% of their away games, whereas Aluminij failed to score in just 14% of home matches, giving the hosts a clear edge in finishing. The quality of chances is similar (Aluminij xG For 1.35 at home vs Mura xG For 1.34 away), but the hosts register more shots on target (4.21 vs 3.07) and have a higher conversion rate (14% vs 7%), meaning they capitalize on opportunities more effectively. Defensively Aluminij concedes 1.86 goals at home, and Mura 2.14 away; the season goal differential is 40–28 in favor of Aluminij, and the fact that Mura have a 79% loss rate away and only 7% wins speaks against the visitors, despite Mura’s better recent points average over the last 5 matches (1.4 vs Aluminij’s 0.8). Considering the higher efficiency, greater number of shots on target and Mura’s markedly worse away stats, I assign 60% probability to the hosts winning, 20% to a draw and 20% to the visitors.

Data analysis indicates a tilt toward BTTS - Yes: the league BTTS rate is 61%. Home side Aluminij records 50% BTTS for the season and 60% in the last 5, while Mura posts 36% for the season and 40% in the last 5, yielding a mixed but slightly pro-BTTS context. Defensively Mura concedes 2.14 goals per game this season with only 7% clean sheets, whereas Aluminij scores 1.29 goals per game and has 29% clean sheets, so the hosts have a realistic chance to score. xG shows both teams create chances: xG_for Aluminij 1.52 vs xG_against_away 1.64, and xG_for Mura 1.34 vs xG_against_home 1.22, suggesting expected goals ~1.3–1.6 for both sides. The counter-risk is Mura’s low finishing — season average goals 0.71 on xG 1.34 (difference 0.63) and a 7% conversion rate — however in the last 5 Mura has xG_for 1.73 and 1.2 goals scored on average, indicating improvement. Considering the high league BTTS 61%, Mura’s poor defense (2.14) and xG generation from both sides, I assess BTTS 65% vs 35% for No Goal.

Aluminij averages 1.29 goals per match, while Mura averages 0.71, with Mura conceding 2.14 goals per game on average—indicating greater defensive vulnerability from the visitors. xG values are 1.52 (Aluminij) and 1.34 (Mura), with xG against at 1.22 and 1.64, which when averaged yields a forecast of 1.58 goals for the home side and 1.28 for the visitors (total 2.86). Season percentages for matches over 1.5 goals are 79% for Aluminij and 71% for Mura, while over 2.5 occurs in 50% and 57% of cases; these figures combined with the projected 2.86 goals increase the probability of Over 1.5 (I estimate 78%) and moderately support Over 2.5 (approx. 55%). Aluminij averages 12.5 shots with 3.79 on target, Mura 9.64 with 3.07 on target, indicating a clear advantage in chance volume for the hosts. Therefore I recommend Over 1.5 as the strongest signal; Over 3.5 looks less likely (seasonal Over 3.5: 21% and 29%, my estimate approx. 33%).

Statistics favor the home side: Aluminij averages 1.29 goals per game versus Mura’s 0.71 and posts a higher xG (1.52 vs 1.34), while Mura concedes 2.14 goals per game on average and wins only 7% of away matches. At half-time Aluminij averages 0.64 goals and Mura only 0.29, with the visitors trailing at the break in 71% of matches while the hosts lead at the break in 29% of games. The hosts also register more shots (12.5 vs 9.64) and more shots on target (3.79 vs 3.07) with a higher conversion rate (10% vs 7%), which increases the likelihood of Aluminij opening the scoring before half-time. In the second half Mura remain vulnerable — the visitors concede an average of 1.07 goals after the break while Aluminij scores 0.64 after half-time, so a Mura turnaround is unlikely. On this basis the strongest and most consistent signal is Aluminij leading at half-time and winning the match (1/1).