Hadiya Hosaena vs Kedus Giorgis: match statistics

Hadiya Hosaena holds a slight edge based on finishing and form: they scored 3 goals in the last 5 matches and average 0.92 goals per home game, while Kedus Giorgis have only 1 goal in their last 5 and average 0.58 goals on the road. The visitors create significantly more chances (9.33 shots and 3.42 on target away vs 6.17 and 2.42 for the hosts) and record a higher xG (1.31 vs 1.12), but their conversion rate is only 6% compared to Hadiya’s 15%, translating into 58% of away matches without a goal versus 33% for the hosts. Defensively Kedus looks marginally better: they concede 1.08 goals on average away compared to 1.33 conceded by the hosts at home and have 17% clean sheets versus Hadiya’s 8%, which increases the likelihood of a draw. In the last 5 fixtures Hadiya have 1 win, 2 draws and 2 losses (1.0 point per game), while Kedus are without a win in their last 5 (0 wins, 2 draws, 3 losses; 0.4 points per game); therefore I forecast a home win. Considering the hosts’ superior efficiency and the high share of goalless games for the visitors, I assess the probabilities as 55% home, 25% draw and 20% away.

I predict No BTTS with an 80% probability versus 20% for BTTS - Yes. Both teams have low season BTTS rates: Hadiya Hosaena 27% and Kedus Giorgis 25%, well below the league average of 41%. The home side scores 0.82 goals per game and has 45% clean sheets, while Kedus Giorgis scores only 0.58 and has 17% clean sheets; in the last 5 matches the home team recorded BTTS 40% and the visitors 20%, with the home side scoring 3 goals in the last 5 (0.6 per game) and the visitors only 1 (0.2 per game). Model xG shows chances (xG 1.33 for the home team and 1.31 for the visitors), but low shot conversion 9% vs 6% and a modest number of shots on target 2.55 vs 3.42 mean chances rarely translate into goals for both sides.

I estimate Hadiya Hosaena will score about 0.82 goals and Kedus Giorgis about 0.58, giving an expected 1.40 goals in the match. Although the teams' xG are 1.33 and 1.31 (total 2.64), actual goal averages are lower (0.82 and 0.58) and shot/shot-on-target numbers (8.82/2.55 vs 9.33/3.42) point to poor finishing. Season rates for Over 2.5 are only 9% for the home side and 17% for the away (avg ~13%), and Over 3.5 just 9% and 8% (avg ~8.5%); conversely, Under 2.5 is 91% and 83%, and Under 3.5 91% and 92% — a strong signal for the Under market. Additionally, BTTS is only 27% and 25%, and in the last 5 matches the home team scored 3 goals (0.6 per game) while the away team scored 1 goal (0.2 per game), confirming low offensive efficiency. Therefore the best line to play is the Under market: I recommend Under 3.5 (estimated probability ~95%), with Under 2.5 as a secondary, riskier option (estimated Under ~83%).

I project X/X (draw at Half-Time and draw at Full-Time) as the most likely scenario. The home side led at the break in 4 matches (36%), the away side in 2 (17%), while a draw at the break occurred in 45% of the home team’s matches and 50% of the away team’s matches; the home team has also taken 17 points at the break and averages 1.55 points at Half-Time versus 12 points and 1.00 for the away side, indicating balanced first halves with a tendency toward draws. First-half goal numbers are low: the home team scores 0.55 goals on average by the break versus 0.33 for the away team, and 73% of the home team’s matches and 58% of the away team’s matches were clean sheets at Half-Time — pointing to frequent 0-0 or 1-0 scores after 45 minutes. Over the full 90 minutes the home team draws in 45% of matches, the away team has only 25% wins and 58% losses; xG is essentially equal (1.33 vs 1.31), and the percentage of matches in which both teams scored is only 27% for the home team and 25% for the away team, which together increases the likelihood of few goals and a final draw (0-0/1-1). Therefore I assigned the highest probability of 31% to X/X; 1/1 received 25% (home teams more often lead at the break and have better conversion), and X/1 9% as the scenario where a Half-Time draw turns into a home turnaround.