Harju Jalgpallikool vs Trans: match statistics

Harju Jalgpallikool holds a clear statistical edge at home: they average 1.44 goals per match and keep a clean sheet in 33% of home games, while Trans score only 0.22 goals on average away and manage clean sheets in just 11% of away matches. The visitors’ defense is highly vulnerable — Trans concede 3.00 goals per away game and lose 89% of their away fixtures, whereas Harju concede 1.67 goals per home match. In attack the hosts also look superior in terms of chance quality: Harju’s average xG is 1.58 versus Trans’s 1.35, hosts register 4.44 shots on target on average with an 11% conversion rate compared to 3.22 shots on target and a 2% conversion for the visitors. Recent form is poor for both sides (Harju 1 win and 4 losses in the last 5, averaging 0.6 points per game; Trans 1-1-3, averaging 0.8 points per game), but the decisive factor is Trans’s away frailty — no away wins (win percentage 0%) and 78% of away matches without scoring. Given the higher conversion rate, superior shots on target and relatively more stable home defense against Trans’s disastrous away numbers, I forecast a Harju victory.

I assign a 60% probability to No BTTS and 40% to BTTS = Yes based on seasonal and recent form analysis. Trans as visitors average 0.22 goals per game season-to-date and have a season BTTS rate of only 22%, with 11.11 shots, 3.22 shots on target and a conversion rate of 2%, which severely limits their scoring potential. Harju generates more chances (xG 1.72, 15.0 shots and 4.11 shots on target) and has a seasonal goals average of 1.11 with a 7% conversion, but concedes 1.78 goals per game and only has 22% clean sheets, so a home goal is likely. The key discrepancy is visitors’ xG 1.35 versus actual 0.22 — Trans create chances but their 2% conversion means they most often finish matches without a goal; additionally they concede on average 3.0 goals per game, which often produces one-sided results. In the last 5 games Trans have improved to 2.4 goals per game with 40% BTTS, representing a short-term rebound, but seasonal effectiveness metrics for the visitors remain the dominant signal. Considering 56% BTTS at home and 22% for the visitors plus Trans’s low conversion, the No BTTS scenario is stronger (60% vs 40%).

The combined xG is 1.72 for Harju and 1.35 for Trans, yielding an expected total of 3.07 goals. With lambda=3.07 the Poisson distribution gives probability of >=2 goals (Over 1.5) at ~81%, >=3 goals (Over 2.5) at ~59% and >=4 goals (Over 3.5) at ~37%. Seasonal data support this projection: the home side have Over 1.5 in 89% and Over 2.5 in 89% of matches, the visitors have 67% and 56% respectively, and in the last 5 matches the home team recorded Over 2.5 in 80% of cases. Additionally, the home team averages 15 shots and 4.11 on target with a conversion rate of 7%, while the away team averages 11.11 shots and 3.22 on target with a 2% conversion, which correlates with the higher home xG and strengthens the signal for Over 1.5.

I expect a half-time draw and a Harju Jalgpallikool victory after 90 minutes (X/1). Both teams finish the first half level in 33% of their matches, with the home side scoring an average of 0.44 goals by the break versus 0.22 for the visitors. After the interval Harju’s advantage is clear: the hosts have gained 14 second-half points and average 1.56 points per match in the second half compared with just 1 point and 0.11 for Trans, favoring a turnaround after the break. Additionally, Harju averages 1.11 goals per match with an xG of 1.72 versus Trans’s 0.22 goals and xG 1.35; Trans concedes on average 3.0 goals per match and has a 0% win rate this season, so the match finish should favor the hosts. In minutes 76–90 the hosts have scored 4 goals while the visitors have conceded 10 in that interval, therefore the X/1 scenario appears to be the strongest signal.