Hadiya Hosaena vs Dire Dawa Kenema: match statistics

I predict a Hadiya Hosaena win; over the last 5 matches they have averaged 1.6 points (record 2 wins, 2 draws, 1 loss) while Dire Dawa Kenema averaged only 0.8 points per match (1 win, 1 draw, 3 losses). Hadiya score 0.89 goals per home match versus Dire Dawa’s 0.61 goals on the road, and xG is 1.06 vs 1.02 — a small difference, but the home side have higher shot conversion at 14% vs 9%. Defensively Dire Dawa concede 1.11 goals away, Hadiya 1.22 at home; seasonally Hadiya have conceded 34 goals versus 40 for Dire Dawa, although the visitors have more clean sheets (28% vs 17%). Despite Dire Dawa maintaining greater possession (57% vs 48%) and taking slightly more shots (6.56 vs 6.17), 50% of their away matches end without scoring and they have conceded 6 goals in their last 5 games, indicating issues in finishing. Considering Hadiya’s better recent form, higher 14% efficiency and league position (12th vs 19th), I give the hosts a 55% chance to win, 25% for a draw and 20% for an away win.

I forecast BTTS - No as more likely — 70% vs 30%. Both teams show low finishing: Hadiya Hosaena scores 0.67 goals per game, Dire Dawa 0.61, with average goals conceded of 1.11 each, favoring low-scoring encounters. Seasonal BTTS rates are 33% for home and 39% for away (league level 41%); in the last 5 matches Hadiya has only 20% BTTS vs Dire Dawa 40%, so the home side rarely features in Goal/Goal games. Despite xG 1.06 (Hadiya) vs 1.02 (Dire Dawa), actual goals are lower (0.67 and 0.61) with low shot conversion 11% vs 9% and only 2.67 vs 2.17 shots on target, which limits the probability that both teams score. Additionally, in the last 5 matches Hadiya scored 3 and conceded 2 (avg 0.6/0.4), while Dire Dawa scored 4 and conceded 6 (0.8/1.2), highlighting the home side's defensive solidity and reinforcing the No Goal scenario.

The model projects a total of 1.37 expected goals (0.71 for Hadiya Hosaena and 0.66 for Dire Dawa Kenema), calculated as the average of offensive xG and opponent defensive xG (1.06 vs 1.18 for the home side; 1.02 vs 1.19 for the away) adjusted for actual conversion (0.67/1.06 = 0.63 and 0.61/1.02 = 0.60). With that lambda, the Poisson model gives roughly a 40% chance of Over 1.5, only ~16% for Over 2.5 and ~5% for Over 3.5, which strongly argues for the under, especially at the 2.5 line. Season data further confirm low-scoring trends: Under2.5 occurred in 67% of home matches and 78% of away matches, while Over3.5 was just 0% and 6%. The home side averages 0.67 goals this season (30 goals) with 39% clean sheets, the away team 0.61 goals (23 goals) and 28% clean sheets, and shot conversion rates are only 11% vs 9%, which undermines the likelihood of many goals; therefore I recommend Under 2.5 as the strongest signal.

The most likely scenario is a draw at Half-Time and a draw at Full-Time (X/X): the home team were level at the break in 8 matches (44%), the away team in 6 matches (33%), and the average goals by half for both teams is only 0.28. Both teams have very similar attacking and defensive metrics: season average goals scored 0.67 (home) vs 0.61 (away), xG 1.06 vs 1.02 and xG conceded 1.19 vs 1.18, which suggests an evenly matched, low-scoring game. Half of the matches finish the first half without conceding (50%), and BTTS occurs seasonally in only 33–39% of cases, so a draw at Full-Time is more likely than a clear win for either side. Therefore I assigned X/X 35% as the primary forecast, with alternatives 1/1 15% (home better form in the last 5: 40% wins vs 20% for the away), X/2 12% and X/1 10% as less likely scenarios.