Olympic Safi vs CODM Meknès: match statistics

Olympic Safi have a higher probability of victory; their home xG averages 1.37 versus CODM Meknès's 1.06, while average shots 10.46 vs 8.92 and shots on target 3.77 vs 2.00 demonstrate superior chance creation. The hosts' finishing rate is better — at home they score 0.77 goals per match on average, while the visitors score only 0.46 away; additionally the visitors failed to score in 62% of away games, whereas the hosts were held goalless in 23% of home matches. Both teams concede an average of 1.38 goals per game, but CODM’s opponents generate more xG against them (1.34) than opponents of Olympic Safi do (1.15), indicating greater defensive vulnerability for the visitors. In the last 5 matches Olympic Safi have 1 win, 2 draws and 2 losses, averaging 1.0 point per game, while CODM have 0 wins, 2 draws and 3 losses with 0.4 points per game, giving a form edge to the hosts. However, the high draw rates (hosts draw 31% of home games, visitors 38% away) and overall low finishing efficiency of both sides point to a low-scoring outcome; I back the home win but acknowledge a realistic risk of a draw.

I assess a higher probability for the 'no' scenario (both teams not to score) at 70% versus 30% for 'yes'. The primary argument is the home defense: Olympic Safi has 57% clean sheets and a season BTTS rate of only 29%, indicating the hosts frequently prevent opponents from scoring. The visitors score poorly — season average goals 0.46, shooting accuracy 5%, and despite xG of 1.06 their real conversion is low, so they struggle to turn chances into goals. Additionally, the hosts concede just 0.64 goals per match on average, the league has 50% BTTS and 62% clean sheets, and both teams have season BTTS rates (29% and 38%) below the league average, which strengthens the 'no' signal. The only counter-signal is that the visitors had 60% BTTS in their last 5 matches, but they scored only 3 goals and conceded 7 in that period, suggesting their BTTS involvement stems mainly from an unstable defense rather than consistent offensive effectiveness.

The data are mixed: home xG is 1.12, away xG is 1.06, and the xG allowed by both defenses is 1.34, yielding an xG-based estimate of about 1.23 for the home side and 1.20 for the away side (total ~2.43). However, actual goal averages are lower: 0.86 (home) and 0.46 (away), confirmed by low shot conversion rates of 9% and 5% and just 2.86 and 2.00 shots on target; therefore I averaged xG and real goals to a forecast of 1.05 (home) + 0.83 (away) = 1.88. With this total expectation the Poisson model gives over 1.5 ≈56% (under 44%), over 2.5 ≈29% (under 71%) and over 3.5 ≈12% (under 88%). Additionally, the home side has 57% clean sheets, the percentage of both-teams-to-score matches is only 29% and 38%, and season over 2.5 rates are 21% (home) and 31% (away), which strengthens under 2.5 as the strongest signal.

Statistical analysis points to a draw at half-time: the home side were level at the break in 64% of matches and the visitors in 62%, with the hosts keeping a clean sheet at half-time in 79% of games. After the break, however, Olympic Safi have a greater chance of producing a turnaround — the home team scores an average of 0.57 goals in second halves, while the away side concedes an average of 0.85 goals in that phase. Supporting this scenario are the offensive numbers: the home xG is 1.12 versus 1.06 for the visitors, more shots on target 2.86 vs 2.0 and a higher conversion rate 9% vs 5%. Additionally, the hosts win 50% of matches at home compared with just 8% away wins for the visitors, and in the last five fixtures the home team led at half-time in 20% of games versus 0% for the away side. For these reasons the strongest signal is a Half-Time/Full-Time scenario of draw at the break and a home win after 90 minutes (X/1).