MC Oran vs MB Rouisset: match statistics

MC Oran has a clear home advantage: at home they score on average 1.33 goals and concede only 0.58 per match, and in the last five fixtures they have won 4 of 5 and scored 7 goals, yielding an average of 2.4 points in that period. MB Rouisset arrives in very poor away form: on the road they score 0.83 goals on average, concede 1.75 and have not won in their last 5 away matches (0-2-3), earning an average of 0.4 points in those five games. The quality of chances favors the hosts — MC Oran posts an average home xG of 1.50 versus guests’ 1.27 away xG, registering 11.5 shots and 5.17 on target with 12% conversion, while MB Rouisset averages 9.25 shots, 4 on target and 9% conversion. The hosts’ defense is solid: they keep clean sheets in 42% of home matches and have a +9 home goal difference, whereas the visitors have 0% clean sheets away and a -11 goal difference. Given the clear advantage in form, chance quality and defense, I predict an MC Oran win and estimate probabilities at approximately 72% for the hosts, 18% for a draw and 10% for an upset by the visitors.

I assign a higher probability to BTTS - No: 65% vs 35% for BTTS. MC Oran concedes only 0.67 goals per match on the season and keeps a clean sheet in 58% of games; in the last 5 matches their average conceded is 0.8, indicating a solid defense. MB Rouisset averages 0.83 goals on the season (1.2 in the last 5), but concedes 1.75 per match on the season (2.0 in the last 5) and have 0% clean sheets; despite a season BTTS of 67% and 100% in the last 5, their shot conversion is 9% with xG 1.27, suggesting finishing issues. The hosts convert better (13% conversion and xG for 1.11 with xG against 0.76), so the home defensive advantage and lower away goals averages increase the likelihood of a match with No Goal from both sides.

I calculated expected goals as the average of each team’s attack and the opponent’s defense: MC Oran xG = (1.11 + 1.87)/2 = 1.49, MB Rouisset xG = (1.27 + 0.76)/2 ≈ 1.02, total 2.51. A total of 2.51 in a Poisson distribution yields roughly a 71–72% chance of more than 1.5 goals (1 − P(0 or 1) with λ=2.51 ≈ 0.715), which is supported by seasonal over 1.5 rates: 58% for MC Oran and 92% for MB Rouisset. For the 2.5 line the Poisson model estimates P(over) ≈ 46% (P(≥3) ≈ 0.459), while seasonal over 2.5 rates are 25%/42%, so the edge favors under 2.5 (54%). The 3.5 line has even lower penetration probability (Poisson ≈ 24%, seasonal over3.5: 8% and 17%), therefore under 3.5 looks safer. The strongest signal from the data is over 1.5 (pick: over, line 1.5) due to the expected 2.51 goals, the very high 92% occurrence of over1.5 for MB Rouisset, and the visitors’ weaker defense (xG against 1.87, conceding on average 1.75 goals).

The most likely scenario is 1/1 (MC Oran leads at the break and wins), which I assign a 42% probability. MC Oran led at half-time in 58% of matches (7 games), averaging 0.75 goals by the break and conceding only 0.17 goals by the break, giving them a significant advantage in the first half. Over full matches the home side won 50% of games and have an average points per game of 1.83 versus 0.5 for the visitors, and also superior shot efficiency (13% vs 9%), so an HT lead often converts into a Full-Time win. Although MB Rouisset have a higher xG (1.27 vs 1.11), they score only 0.83 goals on average and concede 1.75 goals per match, so their ability to engineer a turnaround after the break is limited. Therefore the distribution reflects a strong probability of the home side leading at Half-Time (58% total for scenarios starting with 1), a moderate chance of HT draw (33%), and a low probability of the away side leading at the break (9%).