Arda vs Botev Plovdiv: match statistics

I expect a draw because both teams’ offensive-defensive profiles are similar: Arda at home averages 1.0 goals scored (xG 1.68) and concedes 0.8 goals per match, while Botev Plovdiv away scores 1.47 and concedes 1.20. Arda controls matches at home (55% possession) and generates 4.4 on-target shots from 13.33 attempts, but a poor conversion rate of 8% and the fact they fail to score in 40% of home games limit their output. Botev compensates with finishing — 11 goals in the last 5 matches and an average of 2.0 points in that period — with a 13% conversion rate and only 27% of away games without a goal, which gives the visitors an edge in end-product. xG comparison shows a slight advantage for Arda in chance creation (1.68 xG at home vs 1.63 xG for Botev away), but the visitors’ superior finishing evens the contest, so I anticipate an even, low-scoring match.

Seasonal BTTS rates are identical for both teams — Arda 53% and Botev 53% — which is 10 percentage points above the league average of 43%, providing a primary signal for BTTS - Yes. Offensive metrics support this: Arda generates xG 1.77 and 5.47 shots on target per game, while Botev has xG 1.38 and a higher conversion rate of 13%; seasonal goals are 33 for Arda and 40 for Botev, so both teams can create and finish chances. Counters to this are recent form over the last 5 matches — both teams have BTTS in only 40% of games, and Botev concedes on average 0.8 goals in the last 5 matches and has a seasonal clean sheet percentage of 40%, which reduces the likelihood of mutual scoring. Considering the edge in chance creation (xG 1.77 vs 1.38) and the seasonal 53% BTTS for both sides, but also the lower 40% BTTS in the last 5 and the guest’s 40% clean sheets, the balance of signals favors Yes with moderate confidence, hence the estimated 60% vs 40%.

Expected goals were calculated as the average of attack xG and xG conceded: Arda 1.70 ((1.77 + 1.63)/2), Botev 1.42 ((1.38 + 1.45)/2), total 3.12 goals. Seasonal metrics show a strong over 1.5 signal — Arda has 73% of matches over 1.5, Botev also 73%, and in the last 5 meetings both teams registered over 2.5 in 60% of cases. Arda averages 5.47 shots on target and 14.47 total shots, Botev 3.93 shots on target and 10.87 shots, with conversion rates 13% for Botev vs 8% for Arda, which increases goal risk. With combined xG = 3.12 the probabilistic model gives ~82% for Over 1.5, ~60% for Over 2.5 and ~38% for Over 3.5, therefore the strongest signal from the data is Over 1.5.

The strongest initial signal is a draw at half-time: the home team were level at the break in 53% of matches, the visitors in 71%, and in the last 5 matches of both teams a half-time draw occurred in 80% of cases, so I estimate a half-time draw at roughly 62% probability. After the break Botev Plovdiv’s advantage is statistically visible — in second halves the visitors score on average 0.86 goals versus Arda’s 0.67, they win 43% of second halves compared to the hosts’ 27%, and their shot conversion is 13% versus Arda’s 8%, which favors visitors winning after a half-time draw. Additionally Botev have a higher season win rate (40% vs 33%) and keep clean sheets more often (40% vs 20%), increasing the likelihood they will turn the result in their favor. The specific breakdown gives X/2 (draw at half-time and away win) 34%, X/X 18% and 1/1 13% as the three main scenarios, while scenarios such as 1/2 or 2/1 I assess at 3–4% each. Therefore I recommend the X/2 market as the strongest signal based on the numbers: a high rate of half-time draws (≈62%) plus Botev’s better second-half performance and effectiveness.