Botev Plovdiv vs Lokomotiv Plovdiv: match statistics

Botev Plovdiv holds a clear advantage in quality and volume of chances: at home they average 1.78 xG and 14.71 shots per match, of which 5.5 on target, whereas Lokomotiv away posts 1.30 xG and 10.54 shots (3.62 on target). In the last five matches the hosts scored 9 goals and averaged 2.0 points per game, while the visitors managed only 4 goals and 1.8 points per game; additionally Botev conceded 3 goals in those five matches versus 7 for Lokomotiv. Season-long the defenses are similar (Botev concedes 1.29 goals at home vs 1.31 for Lokomotiv away), however Lokomotiv has as many as 54% of away games ending in draws and a better shot conversion (11% versus 8%), which increases the risk of a shared point. It’s also worth noting that Botev fail to score in 36% of home matches, while Lokomotiv are goalless in 23% of their away games, which partially limits the hosts’ offensive edge. Overall the higher xG (1.78 vs 1.30) and greater chance creation argue for a narrow Botev win, but a draw remains a realistic and material scenario.

I assess BTTS - Yes at about 30% vs 70% No, therefore I recommend No. The main argument is Botev: season BTTS only 27% and 53% of matches with clean sheet expected; seasonally they score 0.93 goals and concede 1.00. Lokomotiv has a high season BTTS 69%, but in the last 5 matches its BTTS dropped to 20% — in that period they averaged 0.8 goals scored and conceded 1.4 goals. Additionally, in the last 5 matches xG for Botev is 2.17 versus 1.22 for Lokomotiv, and Botev conceded only 0.6 goals per game, suggesting the visitors may struggle to score. Considering the home side’s 53% clean sheets, the low recent BTTS 20% for both teams and Lokomotiv’s poorer finishing, the No scenario appears stronger.

The forecast is based on total xG: 1.34 (Botev Plovdiv) + 1.30 (Lokomotiv Plovdiv) = 2.64 expected goals. From a Poisson distribution with λ=2.64 we get P(0)≈7.1% and P(1)≈18.8% (together ≈26.0%), hence Over 1.5 ≈74.0%. For the 2.5 line the model gives Over ≈49.1% (P(<=2)≈50.9%), which is close to seasonal Over 2.5 rates: 27% for home teams and 46% for away teams (average ≈36%). The 3.5 line has a low Over probability (≈27%), consistent with seasonal 13%/23% (home/away). Finally, the last 5 matches of both teams average 2.6 goals (9+4 goals =13/5=2.6) and the away side has 85% of matches Over 1.5, so the strongest signal is to play Over 1.5.

In the season the home team led at the break in 6 of 14 matches (43%), but in the last 5 fixtures the half-time score was level in 4 of them (80%), which strongly supports a Half-Time draw. Hosts average 0.57 goals scored by half-time and concede 0.29, visitors score 0.46 and concede 0.31 by the break, and the home side have 86% of matches with a clean sheet at half-time versus 69% for the away team, so the first half should be low-scoring and frequently level. Over the full match the hosts win 53% of games and average 1.87 points per match compared to the visitors' 1.23, and in the last 5 matches the home side have a 60% win rate and average 1.8 goals scored versus 0.6 conceded, giving them an advantage in the second half. The visitors, however, have 54% draws on the season and 69% of matches in which both teams scored, which increases the chance of goals after the break, but the overall statistical picture favors the hosts for the final victory, hence the HT/FT pick X/1 as the most probable (30%).