TransINVEST Vilnius vs Džiugas Telšiai: match statistics

Džiugas Telšiai sits 3rd in the table versus TransINVEST in 6th; the visitors have 11 wins, 6 draws and 5 losses with 32 goals, while the hosts are 10-5-7 with 37 goals. The key advantage for the visitors is defense: Džiugas conceded 22 goals this season versus 28 for TransINVEST, and average goals conceded is 1.00 away for the visitors compared to 1.10 for the hosts at home. In the last 5 matches TransINVEST scored 6 and conceded 8, whereas Džiugas scored 3 and conceded 4, highlighting clear defensive issues for the hosts despite their better short-term goal return. The hosts have slightly higher home xG (1.42 vs 1.35), but the visitors are more efficient in finishing (conversion 12% vs 10%) and have a higher clean sheet rate away (44% vs 40%), so I expect a Džiugas Telšiai win.

Seasonally the home side have BTTS in 31% of matches and the away side in 56%, yielding a seasonal average of ~44% and indicating mixed tendencies. In the last 5 matches the home team recorded BTTS in 80% (4/5), scoring on average 1.2 and conceding 1.6, while the away team have BTTS in 40% of their last 5, with averages of 0.6 scored and 0.8 conceded. xG over the last 5 confirms home activity: xG_for 1.65 and xG_against 1.25, whereas the away side have xG_for 0.89 and xG_against 0.99, suggesting the home team create and allow more chances. Although the seasonal clean sheet rate is 54% for the home team vs 44% for the away team (which limits BTTS), the advantage in recent form and higher xG_for for the home side leads me to assess the Both Teams To Score (BTTS - Yes) scenario as more likely; I rate it 60% vs 40%.

I estimate 1.28 goals for TransINVEST and 1.28 for Džiugas, totaling 2.56 goals; combined xG is 1.20+1.35=2.55, which supports this projection. Over 1.5 goals looks very likely — seasonal Over 1.5 is 54% for home teams and 67% for away teams, and a Poisson model with λ=2.56 gives roughly a 72% chance of Over 1.5. The 2.5 line is balanced: seasonal Over 2.5 is 54% (home) versus 33% (away), and the model shows ~47% for Over 2.5 (i.e. a slight edge to Under 2.5 = 53%). For the 3.5 line the data clearly favor Under: seasonal Over 3.5 is only 23% and 33%, and the model prices Over 3.5 at ~26% (Under ~74%), so the strongest signal from the data is Under 3.5.

The strongest signal is a draw at half-time with an away win at full-time (X/2), because HT statistics show a high share of draws: TransINVEST drew at the break in 54% of matches and Džiugas in 78%, yielding an average of about a 66% chance of a HT draw. Although the home side more often leads at the break (home leads in 31% of matches vs 0% away leads), the decisive factor is the second half: Džiugas scores an average of 1.22 goals in the second half and wins second halves in 67% of cases, while TransINVEST has 0.77 goals and 38% second-half wins. Over the whole match the teams are nearly even (seasonal goal averages 1.46 for the home side versus 1.44 for the away side, xG 1.20 vs 1.35 and points per match 1.77 vs 1.78), which favors a turnaround after a HT draw. Therefore I assigned the highest weight to X/2 (30%), with alternatives X/1 at 19% and X/X at 17%; the 1/1 scenario received 17%, and away leads at the break are practically absent in the data (0%), so combinations 2/1, 2/X and 2/2 were given 0–2% of the total weight.