Vihren Sandanski vs Sportist Svoge: match statistics

I project a home win for Vihren Sandanski, who hold a clear advantage in season metrics. Vihren have scored 46 goals this season and average 2.08 goals per home match, registering 16.08 shots and 10.38 on target per game at home, while Sportist have 21 goals this season and only 0.85 goals away with 8.23 shots and 4.69 on target. The difference in quality of chances is confirmed by xG: 2.04 for Vihren at home versus 1.16 for Sportist on the road, and defensively the hosts concede 0.77 goals at home compared to 1.54 conceded by the visitors away. Vihren win 62% of home matches and suffer only 8% home defeats, whereas Sportist have a 23% away win rate and a negative away goal difference of -9; additionally the visitors failed to score in 54% of away matches versus 31% for the hosts. Although both teams collected 0.8 points and conceded 6 goals in their last 5 matches, the season-long differentials (46 vs 21 goals, 10.38 vs 4.69 shots on target, xG 2.04 vs 1.16) favor a home victory.

I predict BTTS - No: both teams display low scoring averages — home 0.77 goals per match, away 0.85. In the last 5 matches the home side averaged 0.6 goals and the away team only 0.2, which significantly reduces the likelihood of a Goal/Goal outcome. The away team kept a clean sheet in 46% of their season matches and have 0% BTTS in their last 5 games, while the league records 67% of matches with a clean sheet, a strong signal against BTTS. Although xG shows moderate values (home xG 1.26 vs away xG 1.16), actual goals are lower (0.77 and 0.85), indicating teams waste chances and more frequently finish matches with No Goal from one side. Considering seasonal BTTS rates of 46% for home vs 23% for away and recent runs (20% and 0% over five matches), I estimate 25% for 'yes' and 75% for 'no' — backing No.

Seasonal combined xG for both teams is 1.26 + 1.16 = 2.42, but accounting for recent form over the last 5 matches (xG 0.86 and 1.11) I average the forecast to about 1.06 for the home side and 1.14 for the away side, totaling 2.20 goals. Seasonal stats show both teams have 62% of matches over 1.5 goals, and the home team records 100% of home games with at least one goal and 0% clean sheets, which increases the probability of exceeding the 1.5 line. Actual goals averages are low (0.77 for home and 0.85 for away) and shot conversion rates are only 9%/10%, so the chance of over 2.5 goals is moderate (seasonal over 2.5: 38% home / 54% away; last 5 matches: 20%). Over 3.5 looks unlikely (seasonal over 3.5: 15%/31%), so the strongest signal from the data is Over 1.5, with the projected 2.20 goals clearly exceeding that threshold.

A half-time draw appears most likely: the home side led at the break in only 8% of their home matches, and the visitors in 23% of their away games, yielding roughly a 69% chance of a draw at half-time (100% - 8% - 23% = 69%). The propensity for draws is corroborated by low first-half scoring averages — home teams score 0.38 goals on average by half-time, visitors 0.46 — and similar output after the break (both teams average 0.38 goals in the second half), which reduces the probability of a turnaround. Over the full match, draws account for about 27% on average (the mean of 23% for homes and 31% for away teams), so combining the high share of half-time draws with a moderate full-time draw rate favors the X/X scenario; I estimate P(X/X) at around 31% (69% × roughly 45%). xG data do not clearly favor either side — home xG 1.26 versus away xG 1.16, with xG against 1.23 for the home team and 1.74 for the visitors — suggesting balanced attacks and a moderate number of chances rather than a decisive breakthrough. Therefore I recommend the X/X (Half-Time/Full-Time draw/draw) as the strongest signal: a draw at half-time (dominant 69%) and continuation to a full-time draw as the most probable outcome given these parameters.