Paide vs Harju Jalgpallikool: match statistics

I predict a home win for Paide — their seasonal goal record is 23 scored and 20 conceded versus Harju’s 20 scored and 26 conceded, giving Paide a +3 goal difference compared to -6 for the visitors. At home Paide averages 1.14 goals scored and 1.14 conceded per match with an attacking xG of 1.43 and 3.29 shots on target, while Harju away records 1.14 goals scored but concedes 2.00 goals and has an attacking xG of 1.39 with 3.00 shots on target, suggesting Paide’s superiority in control and defense (possession 52% vs 48%). Additionally, Paide failed to score in only 14% of their home matches, whereas Harju were goalless in 43% of away games; Paide also has more clean sheets at home (29% vs 14% for the visitors). Both teams are in weaker form: Paide have scored 4 goals and failed to win in their last 5 matches (0W, 2D, 3L), averaging 0.4 points per game, while Harju have scored 6 goals, won 1 of their last 5 and average 0.6 points per game. Considering the home side’s seasonal defensive advantage, superior goal record and lower percentage of matches without scoring, I assign Paide a 58% probability to win, a draw 22% and a Harju win 20%.

The primary signal is moderately pro-BTTS: seasonal BTTS rates are 50% (Paide) and 43% (Harju), versus a league average BTTS of 54%. The signal is reinforced by last 5 matches form — Paide has BTTS in 80% of their last 5, Harju 40%, giving a combined average of 60% and indicating the home side more frequently participates in Goal/Goal matches. In terms of goals both teams concede heavily — Paide concedes on average 2.2 goals in the last 5 matches, Harju 1.8 (total 4.0); seasonally Paide 1.5 and Harju 2.0. With xG 1.57 vs 1.39 (xG for) and xG against 2.09 vs 1.92 this indicates both sides create and allow scoring opportunities. Additionally Paide averages 4.88 shots on target versus Harju 3.0, and both teams have a high share of matches over 2.5 goals (63% Paide and 71% Harju), while Harju keep only 14% clean sheets, lowering the chance of a No Goal. Considering the league average 54%, Paide’s 4/5 recent matches with BTTS and the high goals conceded, I assess BTTS probability at 62% vs 38% and recommend a 'BTTS - Yes' bet as the stronger signal.

The xG-based model indicates strong goal potential: Paide has xG_for 1.57 while Harju xG_conceded 1.92 — implying about 1.75 goals for the home side; Harju has xG_for 1.39 while Paide xG_conceded 2.09 — about 1.74 goals for the away side, total ≈3.49. Historical data supports this: Paide features Over 1.5 in 88% of matches, Harju 86% (avg. 87%), and Over 2.5 occurred in 63% of Paide’s games and 71% of Harju’s (avg. 67%). Additionally the league averages 3.15 goals per game; Paide records 4.88 shots on target per game with a 12% conversion, Harju 3.0 SoT and 10% conversion — these figures increase the likelihood of goals in this fixture. Given the combined xG ≈3.49 and the very high Over 1.5 rate (~87%), the strongest signal is Over 1.5; Over 2.5 also looks attractive (~67%), whereas Over 3.5 is less likely (~34%).

The strongest signal points to a draw at half-time: Paide were level at the break in 63% of their matches, led at half-time in only 25% and trailed in 13%. The final outcome favors the visitors — Harju win 43% of matches versus Paide’s 38%, and in the last five games they average 0.6 points per match compared to 0.4 for the hosts. The visitors are also more dangerous after the break: Harju’s average goals in second halves over the last five matches is 2.0 and their percentage of matches with a goal after half-time is 100%, while Paide have 1.4. Considering that the hosts score on average 0.63 goals before the break and the visitors concede 1.14 goals on average before half-time, the model favors the X/2 scenario: draw at half-time and a Harju turnaround to win by full-time.