Harju Jalgpallikool vs Paide: match statistics

Paide is the clear favorite: they sit 4th vs 8th Harju, with 9 wins, 5 draws and 5 losses this season, while the hosts have 7 wins, 1 draw and 11 losses; Paide have scored 30 and conceded 23, Harju 25 scored and 32 conceded. In the last 5 matches Paide have 3 wins and 2 draws, scoring 10 and conceding 4, averaging 2.2 points per match; Harju in their last 5 have only 1 win and 4 losses, 7 scored and 9 conceded and average 0.6 points per match. Regarding quality of chances, Paide have higher expected goal values and greater activity: average xG for the visitors away is 1.73 vs 1.62 xG for the hosts at home, and Paide average 14.3 shots and 5.2 on target per match vs Harju’s 12.8 shots and 4.6 on target; possession is around 55% to 47% in Paide’s favor. Defensively Paide concede 1.4 goals on average away, Harju concede 1.5 at home, and Paide’s overall away goal difference is +4 vs +1 for the hosts; although Harju have 40% clean sheets at home vs 10% for Paide away, form advantage, superior xG and higher situational efficiency argue in favor of an away win.

Statistical analysis favors BTTS - Yes: Paide has a seasonal both-teams-to-score rate of 80% and 80% in the last 5 matches, while Harju registers 56% seasonally and 60% in their last five, producing a strong bilateral signal. Harju have conceded 9 goals in the last 5 matches (1.8 per game), whereas Paide have scored 10 in that period (2.0 per game), so the visitors are offensively effective against the hosts' defense. Paide averages 5.2 shots on target with a seasonal xG of 1.73 versus Harju's 3.44 SOT and xG 1.49, suggesting Paide have greater ability to create and convert chances. Additionally, Paide keep a clean sheet in only 10% of matches this season, the league average is 3.09 goals per game, and Paide’s Over2.5 rate is 60% (Harju 44%), therefore a both-teams-to-score scenario appears most likely.

Average xG gives a combined forecast of about 3.18 goals: home xG 1.56 (Harju attack xG 1.49 vs Paide defense xG 1.63) and away xG 1.62 (Paide attack xG 1.73 vs Harju defense xG 1.50). With a total of 3.18 the model estimates roughly an 83% probability for Over 1.5 goals and about 62% for Over 2.5 goals (calculated from the goal distribution). Seasonal data and current form support this direction: Paide has 60% of season matches >2.5, Harju 44%, and in the last 5 matches Harju records 80% of games above 2.5 versus 60% for Paide. Additionally both teams score frequently — BTTS rates are 56% for Harju and 80% for Paide; Paide averages 5.2 shots on target vs 3.44 for Harju and has higher xG_for 1.73 vs 1.49, which favors a higher goal count. As a result the strongest signal from the data is a play on Over 1.5 (over, line 1.5) with an implied probability around 83%; Over 2.5 (62%) also has solid backing, while Over 3.5 is less certain (39%).

Home teams lead at the break in 56% of matches and score on average 0.78 goals before halftime while conceding only 0.44, giving them an advantage in the first half. The home side’s average points given the halftime state is 2.0, indicating they often maintain a favorable result after the break. Visitors possess a stronger attack — averaging 1.8 goals per match, xG 1.73 and 5.2 shots on target — and a stronger second half (on average 2.0 goals in second halves and 2.2 points in their last five such periods), which increases their chance of mounting a comeback. Both teams frequently score (away teams see both sides score in 80% of matches, home teams in 56%), but the home advantage at halftime and their high conversion of leads make the 1/1 scenario the most likely, with a significant risk of the 1/2 turnaround.