Negele Arsi Ketema vs Dire Dawa Kenema: match statistics

I recommend a home win (1). Negele Arsi Ketema sit 2nd and have scored 29 goals this season versus Dire Dawa Kenema’s 19, giving the hosts a +10 offensive advantage. Defensively the hosts are tighter — they concede 0.73 goals per home match (21 conceded) while the visitors concede 1.00 per match and carry a -5 away goal difference. Quality of chances favors the hosts: home xG 1.07 vs. visitors’ 0.96 xG away, hosts average 2.67 shots on target per game vs. 2.27 for the visitors and have higher conversion (TS%) 14% vs. 10%; although the visitors have greater possession (56% vs. 46%), it does not translate into better attacking efficiency. Last five-form profiles show hosts’ stability — 1 win and 4 draws (avg. 1.4 points/game) vs. visitors’ 1-2-2 (avg. 1.0 point), with the hosts scoring 5 goals in their last five matches compared to the visitors’ 3. Additionally, visitors fail to score in 47% of away trips versus 33% of hosts’ clean sheets; with a low average total goals (≈1.60–1.67) this increases the hosts’ chances. Probability estimate: Home 55%, Draw 30%, Away 15%.

Season-long data indicate a low-scoring profile: the home team averages 0.6 goals per game, the away team 0.67, while conceding 1.07 and 1.0 goals per game respectively. BTTS rates this season are low: only 33% of the home team’s matches and 40% of the away team’s matches end with both teams scoring, and across the league BTTS occurs in 41% of fixtures; additionally 79% of league matches finish with at least one clean sheet, which favors the “No” scenario. Detailed offensive metrics show limited threat: the home side has xG 1.10 with 6.6 shots and 2.87 shots on target on average and a 9% conversion rate, while the visitors have xG 0.96 with 6.4 shots and 2.27 on target at 10% conversion, so clear goalscoring chances should be scarce. Despite a local risk signal — the home team has 80% BTTS in the last 5 matches, scoring 1.0 and conceding 0.8 on average — this is a short-term trend that does not overturn the season-long figures (home 29 scored/21 conceded, away 19 scored/31 conceded), where low totals dominate. Therefore, based on the advantage of season-long indicators (low goals averages 0.6 vs 0.67, low BTTS 33% and 40%, and 79% of league matches with a clean sheet), I select BTTS - No with an estimated probability of 70% versus 30% for Yes.

Considering xG (home 1.10, away 0.96), season averages of goals scored (0.60 and 0.67) and recent form over the last 5 matches (home 1.0 goal/match, away 0.6), I project 1.05 goals for the home side and 0.78 for the away side, total 1.83. A Poisson model at this mean yields roughly a 55% probability of at least 2 goals (Over 1.5), which aligns with season Over 1.5 rates: 67% for the home team and 60% for the away team. The probability of at least 3 goals (Over 2.5) is about 28%, while season Over 2.5 rates are 33% for the home side and 20% for the away, therefore Under 2.5 (72%) is the clearer signal. I assess Over 3.5 at around 11%, supported by season values of 0% and 7%; moderate BTTS rates (33% and 40%) also do not indicate many goals. In summary, the strongest and most conservative selection is Under 2.5 due to low actual goal averages and a history of infrequent high-scoring matches.

The most likely scenario is a draw at half-time and a draw at full-time (X/X). Hosts led at the break in only 7% of matches, and visitors in 27% — from these figures it follows that a draw at the break is dominant (approx. 100% - 7% - 27% = 66%). This is confirmed by seasonal and recent statistics: hosts draw at half-time in 53% of matches (80% in their last 5), visitors in 40% of matches, with low average first-half goals 0.73 for hosts and 0.80 for visitors (goals scored by half: 0.20 vs 0.33). Additionally, xG of 1.10 for hosts versus 0.96 for visitors and a high proportion of draws in second halves (60%/47%) suggest the draw will hold through 90 minutes, hence X/X receives the highest rating at 35% (other notable scenarios: X/2 18%, X/1 13%).