Adama Kenema vs Negele Arsi Ketema: match statistics

I forecast a draw because both teams have scored 22 goals this season and their average xG are nearly identical: 1.17 for Adam Kenema at home versus 1.19 for Negele Arsi Ketema away. League position and season record favor the visitors — Negele sit 4th with 10 wins versus Adam’s 7 wins (7th) and a positive away goal differential (+4 vs the hosts’ -2 at home). Recent form presents a mixed picture: the hosts have scored 7 goals in their last 5 matches (1W, 2D, 2L) conceding 9, while the visitors have managed only 1 goal in that period (0W, 3D, 2L). Defensively Negele are stronger away — conceding 0.58 goals per game compared to the hosts’ 0.92 — and they have a higher shot conversion rate (13% vs 10%), which increases their chance of winning. Considering Adam’s high home draw rate (50% of home matches end in a draw), similar average shots on target (2.83 vs 2.75) and balanced xG, I assign a 45% probability to a draw, 30% to an away win and 25% to a home win.

Seasonal indicators point to a low probability of BTTS: Adama Kenema has BTTS at 33% and Negele Arsi 25%, while the league average is 41%, so both teams record BTTS less than the league. Seasonal goals averages are 0.92 scored and 0.75 conceded for Adama, and 0.92 scored and 0.58 conceded for Negele; additionally Negele keeps a clean sheet in 58% of matches and fails to score in 42% of games, which strongly favors a No Goal scenario. In the last 5 matches Adama had BTTS in 60% (averaging 1.4 scored and 1.8 conceded), whereas Negele has only 20% BTTS and averages 0.2 goals scored, showing a form asymmetry: the home side concedes more often, the visitors rarely score. xG indicates similar chance creation (1.12 xG for Adama vs 1.19 xG for Negele), but actual seasonal goal averages are only 0.92 for both with conversion rates of 14% and 13%, meaning created chances do not regularly translate into both teams scoring; therefore the stronger signal is No (75% vs 25%).

The xG-based model projects 1.12 goals for Adam Kenema and 1.23 for Negele Arsi, totaling 2.35 expected goals. Seasonally only 17% of home matches and 25% of away matches finish over 2.5 goals (83% and 75% under respectively), so on average about 79% of fixtures are under 2.5. Both teams have 50% of matches over 1.5 goals, and the league records 1.76 goals/match, which provides moderate support for Over 1.5 (approx. 65%). However, the low share of matches over 2.5 in the season and the combined xG of 2.35 argue more strongly for Under 2.5 as the best option. Additionally, in the last 5 matches the home side scored 7 and conceded 9 (3.2 goals/match), while the visitors scored 1 and conceded 4 (1.0 goals/match), which reinforces the forecast for under 2.5 goals.

The most likely scenario is a draw at half-time and a draw at full-time (X/X). Both teams have the same season goals-per-game average of 0.92, with home sides scoring 0.42 on average by the break and away sides 0.50, indicating low first-half activity; additionally, clean sheets at half-time occurred for home teams in 83% and for away teams in 75% of matches, and a half-time draw occurs in 67% (home) and 58% (away) of games, yielding roughly a 62% chance of a draw HT. In the second half the home team averages 1.0 goal and the away team 0.75, with xG at 1.12 versus 1.19, so after a tie the result is more often the maintenance of a draw or a minimal decision rather than a large-margin win; therefore I allocated 35% to X/X, 16% to X/1 and 12% to X/2. Scenarios with a lead at the break (1/1 at 18% and 2/2 at 8%) are less likely due to frequent half-time clean sheets and low shot conversion rates of 14% (home) and 13% (away).