FA Šiauliai vs Hegelmann Litauen: match statistics

I predict a home win (1). The hosts create better chances: at home they average 9.78 shots and 3.67 shots on target per match versus 8.3 shots and 2.0 on target for Hegelmann, and their average xG is 1.25 compared to 0.97 for the visitors. In the last 5 matches the hosts have scored 4 goals and recorded 1 win, while the visitors have scored 3 goals and failed to win (0 wins, 2 draws), translating to 0.6 points per match for the hosts and 0.4 for Hegelmann in that period. Both teams have defensive issues: the hosts concede 2.11 goals per home match on average, Hegelmann concedes 2.2 on the road, and over the season the hosts have allowed 42 goals versus 34 conceded by the visitors, so I expect an open game with goals. Considering the higher home win rate (33% vs 10% away wins for the visitors), the advantage in xG and shot volume, I assign the hosts a 58% chance, 22% for a draw and 20% for a visitors' win.

Both teams show high BTTS rates: home 73% and away 60%, with BTTS at 60% for both sides over the last 5 matches. Defenses are underperforming — Šiauliai concedes 1.09 goals per match this season, Hegelmann 2.2; over the last 5 fixtures average concessions were 3.0 and 2.4 respectively. Attacking metrics also favor goals: xG for Šiauliai is 1.29 versus 0.97 for Hegelmann, with on-target shots 3.82 vs 2.0 and average shots 10.82 vs 8.3, indicating the home side creates chances more frequently. Clean sheets are rare — percentage of matches without conceding is 18% for the home team and 10% for the away team, reducing the likelihood of a single side failing to score. In summary, taking into account seasonal BTTS 73% and 60%, the weaker away defence (2.2 conceded per match) and recent runs averaging 3.0 and 2.4 conceded, I back BTTS - Yes with an estimated probability of 72% vs 28%.

Both teams have a high share of matches over 1.5 goals: home 82% and away 90%, averaging 86%, which strongly favors the Over 1.5 side. The xG model indicates expected goals of 1.40 for FA Šiauliai (xG attack 1.29 vs opponent xG defense 1.50) and 1.21 for Hegelmann (xG attack 0.97 vs home xG defense 1.44), totaling 2.61 goals, very close to the league average of 2.62. The 2.5 line is more balanced — seasonally the home team has 27% of matches >2.5 and the away side 60% (average 43.5%), but in the last 5 matches the home team had 100% of games >2.5 and conceded on average 3.0 goals, which raises the chance of Over 2.5 to roughly 54%. A high percentage of both-teams-to-score matches (home 73%, away 60%) and a low share of clean sheets (home 18%, away 10%) further support the expectation of at least two goals in the game. Therefore I recommend backing Over 1.5 as the strongest signal, while Over 2.5 has only a slight edge over Under 2.5.

The most likely scenario is a draw at half-time and a draw at full-time (X/X), because the home team records a half-time draw in 64% of their matches, and their games finish level in 73% of cases. Although the hosts lead at the break in 36% of matches, they win only 18% of games, which suggests that even when they take the lead roughly half of those situations do not result in victory (36% vs 18%). Additionally, the home xG of 1.29 versus the visitors’ 0.97 and an average of 3.82 shots on target to 2.0 indicate a first-half offensive advantage for the hosts; however, the away side concedes on average 1.2 goals by half-time and more frequently stages a turnaround in the second half (guests score 0.6 goals after the break versus 0.45 for the hosts), which increases the likelihood of a full-time draw. Taking these data together, I assigned the highest weight to X/X (57%); the next most probable outcomes are 1/1 (18%) and 1/X (16%), while scenarios in which the visitors lead at half-time (all 2/*) were considered practically negligible (0%). In summary: draw-oriented statistics dominate (half-time draw 64%, full-time draw 73%); the hosts’ superior xG and shots on target explain the frequent draws in their matches, and the away team’s second-half goal activity (0.6) sustains X/X as the strongest scenario.