Shire Endaselassie vs Welayta Dicha: match statistics

I back the away win (Welayta Dicha) — the visitors are clearly in better form, averaging 1.6 points per match over the last 5 compared to the hosts' 0.6, and winning 2 of their last 5 versus 0 wins for Shire Endaselassie. Welayta creates more chances: on average 8.15 shots (3 on target) per match versus 5.85 shots (2.31 on target) for the hosts, and average xG of 1.31 versus 0.97 for Shire, indicating an advantage in quality scoring opportunities. The hosts, however, look stronger defensively at home — conceding 0.69 goals per match and keeping clean sheets in 46% of home games, while the visitors concede 0.92 goals away and have 31% clean sheets; in the last 5 matches Shire conceded 5 goals and Welayta only 2. The high share of draws (hosts draw 38% of home matches, visitors 46% away) and the fact that both teams average 0.69 goals in their matches increase the likelihood of a point split, therefore I assess probabilities as 20% for the home win, 35% for the draw and 45% for the away win.

Season metrics show a contradiction: Shire Endaselassie has 64% of matches with both teams scoring, Welayta Dicha 46%, and the league average is 42%. Goal and xG stats indicate both sides have potential — Shire averages 1.29 goals scored and 1.07 conceded per match, Welayta 0.69 scored and 0.92 conceded, with xG respectively 1.36 for Shire vs 1.31 and xG against 1.04 vs 0.99, so seasonally both teams create chances. However, the last 5 matches argue against BTTS: Shire in the last 5 averages 0.4 goals and 1.0 conceded (BTTS in 40%), and Welayta 0.8 scored and only 0.4 conceded (BTTS 20%), showing weaker attacking form from the hosts and defensive solidity from the visitors. Additionally Welayta has 31% clean sheets this season versus Shire’s 21%, and although Shire converts shots better (16% vs 8%), Welayta’s recent form and lower goals conceded (0.4 in 5) lean toward at least one team keeping a clean sheet. Therefore I assess BTTS probability at 40% and No BTTS at 60%, selecting 'No' as the primary pick.

I calculated expected goals as the average of the attack xG and the opponent’s defensive xG: Shire has attack xG 1.36 vs Welayta defense 0.99 → ~1.18, Welayta 1.31 vs Shire defense 1.04 → ~1.18, totaling 2.36 expected goals. From a Poisson distribution for 2.36 goals there is about a 68% probability of Over 1.5, which is supported by seasonal Over1.5 rates: 64% (home) and 62% (away). For the 2.5 line Poisson gives ~42% for Over, but the away side averages only 0.69 goals per game and have 15% of matches >2.5, so I realistically lower to 38% for Over2.5 (Under2.5 62%). Over3.5 is unlikely: home team has 29% of seasonal matches >3.5, the away team 0%, and Poisson predicts ~21% for >=4 goals, hence Over3.5 21% vs Under3.5 79%. The strongest signal is Over 1.5 (68%) — driven by the combined xG 2.36, high seasonal Over1.5 rates (64/62) and the higher shot conversion of the home side 16% versus 8% for the away side.

Data indicate that a draw at half-time is the most likely: the home team drew at the break in 57% of their matches and the away team in 46%, so the model favors a draw at the Half-Time stage. Overall, many draws persist to full-time as well (homes draw 50% of matches, away 46%), hence the draw–draw (X/X) scenario received the highest single weight of 29%. The home side, however, has an offensive edge: xG 1.36 vs 1.31, average goals 1.29 vs 0.69 and a conversion rate of 16% vs 8%, which increases the probability that, if the score is level at the break, they will find the goal in the second half (X/1 = 17%). Second-half statistics confirm this tendency — homes score on average 0.86 goals after the break versus 0.46 for the away side — therefore the home turnaround after a draw (X/1 = 17%) is more likely than an away turnaround (X/2 = 11%). The homes’ poor form in the last five matches (0% wins versus the away side’s 40% wins) and the fact that homes led at half-time in only 14% of their games reduce the probabilities of scenarios starting with a home lead (1/1 = 11%, 1/X = 2%, 1/2 = 1%).