Chernomorets 1919 Burgas vs Sportist Svoge: match statistics

I predict a home win for Chernomorets 1919 Burgas, as they hold a clear advantage in key metrics. Chernomorets are 6th in the table while Sportist sit 14th; the hosts concede only 0.6 goals per home match versus 1.8 conceded by Sportist away, with clean sheet rates of 53% vs 40%. Chance quality also favors the hosts: average xG of 1.54 at home versus 1.14 for the visitors, with 10.13 shots and 6.87 on target per game compared to 8.14 and 4.64 for Sportist, and shot conversion of 13% vs 10%. Both teams scored 6 goals in their last 5 matches, but the hosts conceded only 5 goals versus 10 for the visitors, and the hosts’ home goal difference is +10 compared to the visitors’ -15 on the road, underscoring the disparity. Considering form (hosts 1.6 points per game in the last 5 vs visitors 1.2) and the defensive and chance-quality superiority, I assess the hosts’ probability of winning as higher.

Statistical analysis shows Chernomorets has only 7% clean sheets, while Sportist keeps a clean sheet in 40% of matches, meaning opponents scored against Chernomorets in 93% of home games, and hosts conceded in 60% of Sportist’s matches; the product of these rates gives an initial ~56% probability for BTTS. In the last 5 matches Sportist conceded 10 goals (2.0 avg per game), while Chernomorets scored 6 goals (1.2 avg) and has a recent xG of 1.66 versus Sportist’s xG against 1.06, which reinforces the prospect that both teams can score. Seasonal BTTS is 47% for hosts and 27% for away sides, and the league BTTS level is 46%, so signals are mixed and not conclusive. Overall, given the hosts’ very low clean sheet rate (7%) and Sportist’s poor defense in the last 5 matches, I tip BTTS - Yes with a lean: 62% vs 38% for No.

I estimate a total of approximately 2.67 goals in this match (1.49 for Chernomorets 1919 Burgas and 1.18 for Sportist Svoge), calculated from average xG: 1.31 (home attack) and 1.66 (away defense) for the home side, and 1.14 (away attack) and 1.21 (home defense) for the visitors. With total xG = 2.67 the Poisson distribution yields about a 75% probability for Over 1.5, while seasonal Over 1.5 rates are 67% for both teams, which confirms a strong signal for Over 1.5. Over 2.5 is more balanced – the hosts have a 40% Over 2.5, the visitors 60% (average 50%), and Poisson for an average of 2.67 gives roughly 50% for Over 2.5, so this is a moderate situation. Over 3.5 appears unlikely: seasonal values are 20% (home) and 33% (away), and both teams have 0% in the 4+ goals scoring statistic, while Poisson gives only ~28% for Over 3.5. Therefore I recommend the Over 1.5 bet as the strongest signal, with expected 1.49 and 1.18 goals and historical 67% Over 1.5 rates for both sides.

A draw at half-time appears most likely: both teams draw after 45 minutes in 60% of their matches (drawingAtHTPercentage_home 60%, drawingAtHTPercentage_away 60%), therefore I allocated 60% of the combined probability to HT=X scenarios. After the break I favour the home side: hosts win 33% of their season’s matches versus 20% for the visitors, have higher xG (1.31 vs 1.14) and score on average 0.6 goals after the break compared to 0.33 for the away team (scored_2hg_avg_home 0.6 vs 0.33). Additionally, the goal distribution shows the hosts’ second-half strength – hosts scored 4 goals in minutes 46–60 and 5 goals in minutes 76–90, while visitors scored 1 and 1 respectively, which supports a scenario of a home advantage after the break. The counterargument is that the visitors kept a clean sheet in 40% of their matches this season versus only 7% for the hosts, which increases the probability of a draw in the final result (hence X/X 20%). In summary, the strongest signal from the data is a draw at half-time and a home victory after the break, so I select HT/FT X/1.