Panevėžys vs Džiugas Telšiai: match statistics

The favorites are the visitors Džiugas Telšiai: over the season they have 11 wins versus the hosts' 6 and a superior goal difference 32–23 compared with Panevėžys' 20–38, indicating an edge in attacking efficiency and defense. In the last 5 matches the hosts have averaged only 0.4 points per game, scored 4 goals and conceded 9, while the visitors average 1.0 point per game, scored 2 and conceded 3, confirming the visitors’ better defensive form. Džiugas have 40% clean sheets away versus the hosts’ 18% at home, and average goals conceded are 1.00 (away for the visitors) versus 1.09 (hosts at home), which is a meaningful defensive advantage. Panevėžys create slightly more chances at home (12 shots and 1.38 xG per game) compared with the visitors’ 11.1 shots and 1.27 xG, but the higher xG against for the hosts (1.56 vs 1.12) and lower defensive efficiency reduce their prospects. On this basis I predict an away win.

Panevėžys averages 1.46 goals scored and 1.0 conceded per game this season, while Džiugas as the away side averages 1.3 scored and 1.0 conceded; seasonal attacking xG is 1.20 for Panevėžys vs 1.27 for Džiugas, and xG against is 1.06 vs 1.12, indicating similar offensive potential. In the last 5 matches Panevėžys had BTTS in 80% of games, with average xG 1.49 and xG against 1.62 and conceding 1.8 goals on average (9 in 5), whereas Džiugas had BTTS in 20%, average xG 0.75 and xG against 0.95 and conceded 0.6 goals (3 in 5). Seasonal totals confirm the goal dynamics: Džiugas scored 32 goals in the season vs 20 for Panevėžys, and Panevėžys conceded 38 goals vs 23 for Džiugas, showing the home side’s tendency to allow goals over the longer term. League average goals are 2.62 per match and BTTS at 49%, so the league context supports a moderate chance of both teams scoring. Considering the strong signal from Panevėžys’s last 5 matches (80% BTTS), Panevėžys’s higher seasonal goals conceded (38) and the similar xG profiles, I project BTTS - Yes as more likely (65% vs 35%).

Panevėžys averages 1.46 goals scored per match, Džiugas 1.30, giving a simple sum of 2.76; however, considering xG (1.20 for the home side and 1.27 for the visitors) and xG against (1.06 and 1.12), a reasonable estimate is 1.16 goals for the hosts and 1.17 for the guests, totaling 2.33 expected goals. Based on a Poisson distribution with lambda=2.33, I estimate the probability of Over 1.5 at ~68%, Over 2.5 at ~41% and Over 3.5 at ~21%. The last 5 matches show Panevėžys scored 4 and conceded 9 goals (0.8 scored and 1.8 conceded per match), while Džiugas scored 2 and conceded 3 (0.4 and 0.6), which increases the risk that at least two goals will occur. Seasonal rates support this approach: matches >1.5 account for 54% for the home side and 60% for the visitors, and >0.5 occurs in 85% and 90% of cases, so it is unlikely only one goal will be scored. Therefore I recommend Over 1.5 as the strongest signal, while the 2.5 line is balanced with a slight lean to the Under.

Half-time statistics strongly indicate a draw: the home side were level at the break in 54% of matches, the visitors in 80%, yielding an average of about a 67% chance of a half-time draw; home teams score 0.69 goals by half-time versus 0.20 for their opponents. Over the full match, seasonal indicators favor the home side — Panevėžys won 54% of games while Džiugas won 40%, and the home side’s average goals are 1.46 versus 1.30 for the visitors, which points to a turnaround after the break. Second-half data confirm the home team’s ability to score: hosts average 0.77 goals after the break, while visitors concede 0.50 on average in that period, so the scenario of a draw at half-time and a home win at full-time (X/1) appears strongest. At the same time, form in the last 5 rounds slightly weakens the home forecast (last 5: 0% home wins vs 20% for the visitors), therefore I also assign significant weight to a final draw (X/X) as the second most likely outcome.