Hegelmann Litauen vs Džiugas Telšiai: match statistics

Džiugas Telšiai are clear favorites: they sit 1st with 10 wins and 29 goals this season versus Hegelmann Litauen’s 3 wins and 18 goals (7th). In the last 5 matches the visitors scored 11 goals (2.2 per game) and average 2.0 points per game (3-1-1), while the hosts scored 7 goals (1.4 per game) and average 1.0 point per game (1-2-2). In terms of chance quality Džiugas records higher xG (1.33 vs 1.25) and lower average xG against (1.20 vs 1.42), and away they have 50% clean sheets and 1.5 goals per game versus the hosts’ 20% clean sheets and 1.2 goals. Hegelmann allow slightly more shots on target at home (3.7 vs 3.38), but more often fail to register a shot in a match (FTS 30% vs 13%) and have a lower win tally (3 vs 10), which reduces their chances of taking all points. Considering the seasonal advantage, better form (2.0 vs 1.0 pts in the last 5), and superior xG and defense from the visitors, I predict a Džiugas Telšiai win.

I tip BTTS - Yes at 65% based on concrete numbers and trends. In the last 5 home matches BTTS occurred in 80% of fixtures, while seasonally Hegelmann has only 33% BTTS, indicating a clear form shift for the hosts. Džiugas has a seasonal BTTS of 50% and has scored 29 goals this season with an average of 1.5 goals per game, while the hosts have conceded 25 goals seasonally (avg 1.22), so the visitors have a realistic chance to score. xG figures confirm offensive balance: xG_for 1.36 for the hosts versus xG_against 1.2 for the visitors, and xG_for 1.33 for the visitors versus xG_against 1.05 for the hosts — both sides generate ~1.3 xG. Additionally, the hosts average 3.89 SOT per game versus 3.38 for the visitors and seasonal goals per game 1.89 vs 1.5, and the league BTTS is 49% with an average 2.61 goals per match, so the Both Teams To Score scenario looks stronger despite relatively high clean sheet expected rates of 44% and 50%.

Hegelmann averages 1.89 goals per season with xG 1.36, while Džiugas records 1.50 goals with xG 1.33. A blended model combining attack and defense (xG_for_home 1.36 with xG_against_away 1.20) yields 1.28 expected goals for the home side, and (xG_for_away 1.33 with xG_against_home 1.05) 1.19 for the visitors, totaling 2.47 goals. Over 1.5 appeared in 67% of Hegelmann’s matches and 63% of Džiugas’s, so I assign an 82% probability to Over 1.5 goals. Over 2.5 is less clear — hosts have 67% Over 2.5, visitors 38% and the combined xG is close to 2.5, so I give a 54% chance for Over 2.5. Over 3.5 is unlikely (seasonal 33%/38%), therefore I recommend Over 1.5 as the strongest signal.

Hegelmann has a clear advantage in the first half: the hosts score on average 0.89 goals by half-time versus 0.25 for Džiugas and have led at the break in 3 matches (33%), while the visitors have not led at half-time (0%). Over the season the hosts average 1.89 goals per match with an xG of 1.36, versus 1.50 goals and xG 1.33 for the visitors; additionally Hegelmann’s home win rate is 67% vs 50% for Džiugas, which supports maintaining a lead. At the same time Džiugas is more dangerous after the break: they score on average 1.25 goals in second halves and win 75% of second halves, so a half-time draw can end with them executing a turnaround. Considering 0.89 vs 0.25 in the first half, the hosts’ 33% share of leads at the break and better xG and conversion rates (15% vs 13%), the most likely scenario is 1/1. Therefore I pick 1/1 (estimated 24%), while X/2 (around 20%) and X/1 (around 19%) also have significant chances given the visitors’ strength after the break.