Dire Dawa Kenema vs Bahardar: match statistics

I predict an away win (2). Dire Dawa Kenema have 19 goals scored and 34 conceded this season (goal difference -15) and average 0.6 goals scored and 1.07 conceded at home, while Bahardar have 23 goals and 22 conceded (GD +1) and on the road average 0.73 goals scored and only 0.67 conceded. In their last 5 matches the home side have not won (0-2-3), scoring 2 and conceding 8 (0.4 points per game), whereas the visitors are 1-3-1, with 4 scored and 4 conceded and 1.2 points per game. xG also favors Bahardar: xG for 1.15 versus 1.1 for the hosts and xG against 1.12 versus 1.24 for Dire Dawa, and the visitors also have a higher clean sheet percentage away (53% vs 40%). Both teams have a tendency to draw (hosts 40% home draws, visitors 53% away draws), so a draw is possible, but Bahardar’s better defense and form give them a clear advantage.

I recommend the 'No' (No BTTS) scenario with a probability of 68% vs 32%. Seasonal BTTS rates are low: Dire Dawa BTTS 31%, Bahardar 33%, both below the league average of 41%. High clean sheet rates of 56% (home) and 53% (away) indicate that in over half of matches one team keeps a clean sheet. Despite xG of 1.34 (home) and 1.15 (away), actual goals per season are low: 0.75 and 0.73, with conversion rates of only 9% and 10%, showing poor finishing. Additionally, in the last 5 matches Dire Dawa averages 0.4 goals scored and concedes 1.6, while Bahardar averages 0.8 and concedes 0.8; low percentages of matches over 2.5 goals (25% and 13%) further support No BTTS.

The combined xG is 1.34 + 1.15 = 2.49, but actual seasonal goals are only 0.75 (Dire Dawa) and 0.73 (Bahardar), indicating lower conversion. Shot conversion rates are 9% and 10%, with average shots on target 3.27 vs 2.07, so creative potential is limited. Both teams have high clean sheet percentages (56% and 53%) and low BTTS rates (31% and 33%), and seasonal shares of matches over 2.5 are 25% (home) and 13% (away), i.e. roughly a 19% chance of Over 2.5 on average. I therefore forecast expected goals of 1.20 for the home side and 1.05 for the away side (total 2.25), slightly below raw xG; the best signal from the data is Under 2.5, supported by low conversion and a high share of clean sheets.

Seasonal statistics show a very high proportion of draws at half-time: home teams were level at the break in 75% of matches, away teams in 80% (average 77.5%), so I allocated 77% probability to scenarios with a draw at half-time. A draw at full-time is also common — home teams drew in 56% of matches, away teams in 53% (average ~54.5%) — therefore X/X received the largest share at 47%. Second-half data indicate greater away activity after the break: AVG_2hg_away 1.07 versus AVG_2hg_home 0.69 and over05_2hg_percentage_away 60% vs 31% for hosts, so within HT draws I weighted X/2 (18%) higher than X/1 (12%). Leads at the break are rare: leadingAtHTPercentage_home 6% and leadingAtHTPercentage_away 7%; averaging with data on being behind yields about a 9.5% chance of the home team leading and 13% for the away team leading, which produced the allocation 1/* = 10% (1/1 6%, 1/X 3%, 1/2 1%) and 2/* = 13% (2/2 8%, 2/X 4%, 2/1 1%). On this basis I select 'X/X' (47%) as the strongest signal, because the high share of draws at half-time (75%/80%), the high share of final draws (56%/53%) and the low average goals per match (seasonAVG_home 1.5 and seasonAVG_away 1.4) favor a stable draw at half-time and full-time.