Botev Vratsa vs Montana: match statistics

Botev Vratsa sit 10th in the table while Montana are 16th, which already favors the home side based on season positioning. At home Botev concedes an average of 0.71 goals per game and have 47% clean sheets, whereas Montana concede 1.65 on the road and have only 18% clean sheets — a difference of 0.94 goals and 29 percentage points in clean sheets. In attack the hosts score 0.88 goals per home game with xG 1.35 and a conversion rate of 8%, while the visitors record 0.53 goals away with xG 1.20 and a 6% conversion, and average shots of 10.47 versus 8.94. In the last 5 matches Botev have averaged 1.8 pts/game (2 wins, 3 draws), Montana 1.4 pts/game (1 win, 4 draws), and the visitors have only 4 wins and 19 losses this season. Given the significant defensive edge for the hosts, superior xG and higher efficiency in creating chances, I predict a Botev Vratsa win; estimated probabilities are 60% home, 30% draw and 10% away.

I back BTTS - Yes; recent form strongly supports it. In the last 5 matches Botev has BTTS 100% and Montana 60%, while season-long BTTS rates for both teams are 41%, indicating a clear short-term uptick for the home side. Season averages: goals scored 0.71 (Botev) and 0.53 (Montana) with goals conceded 1.29 and 1.65, but in the last 5 matches Botev scores 1.8 and concedes 1.4, Montana scores 1.2 and concedes 1.0, so both teams have been scoring and conceding more recently. xG supports this: last 5 matches xG 1.61 (Botev) and 1.43 (Montana) = 3.04 combined, with xG against 1.38 and 1.36, which suggests scoring chances from both sides. Additionally, both teams average 3.12 shots on target and clean sheet rates are 35% (Botev) vs 18% (Montana), so I assess BTTS at 70% vs 30%.

Averaging both teams' xG gives: Botev xG for 1.18 and Montana xG against 1.68, yielding roughly (1.18+1.68)/2 = 1.43 goals for the home side; for the away side (1.20+1.49)/2 = 1.35, therefore I assume expected_goals_home = 1.45 and expected_goals_away = 1.35 (total 2.80). In the last 5 matches Botev scored on average 1.8 and conceded 1.4 (total 3.2 goals per game), while Montana averaged 1.2 scored and 1.0 conceded (total 2.2), which strengthens the signal for more than 1–2 goals in a single match. Seasonal rates show over 1.5 in 53% of Botev’s matches and 59% of Montana’s, and over 2.5 at 35% and 47% respectively; the league averages 2.31 goals per match, and our expectation of 2.80 is clearly above that mean. For these reasons the strongest signal is the over 1.5 market (high combined xG ≈2.80 and >50% over 1.5 for both teams), so I assign over 1.5 ≈84%, over 2.5 ≈61% and over 3.5 ≈28%.

The most likely HT/FT scenario is a draw at half-time and a draw at full-time (X/X) — I estimate its probability at 27%. The home side led at the break in 24% of their matches, the visitors only in 6%, while a half-time draw occurs in 41% of the home team’s matches and 59% of the visitors’ matches, which gives a strong signal for a draw at the break. The game looks low-scoring: the home team averages 0.71 goals per match versus 0.53 for the visitors, xG is very similar (1.18 vs 1.20), and shot conversion is 7% for the hosts vs 6% for the guests. After the break, seasonally the visitors score on average 1.18 goals versus 0.76 for the hosts, but in the last 5 matches the hosts have averaged 0.8 second-half goals versus 0.2 for the visitors, producing mixed signals about second-half attacking output. Additionally, the league has a high share of clean sheets (69%) and a moderate both-teams-to-score rate (BTTS 44%), so the X/X scenario appears strongest.