Coca-Cola vs El Gounah: match statistics

I predict a draw because both teams have a poor end to the season and a high rate of draws: in their last 5 matches each recorded 0 wins, 3 draws and 2 losses, scoring 1 and 2 goals respectively. The home side posts only an 18% win rate and as much as 64% draws at home, averaging 1.00 goals scored and 1.00 conceded at home, with home xG 1.23 versus xG conceded 1.18, indicating balanced matches. The visitors have an edge defensively on the road: on average 0.58 goals conceded away and 50% clean sheets, while scoring 0.83 goals away and registering 3.42 shots on target per game. Given the low goal output of both teams (last 5 matches: 1 vs 2 goals) and the home side’s clear propensity for draws, I assign the highest probability to a draw (52%), with 30% chance for an away win and 18% for a home win.

Based on the statistics, it is more likely that this match will be No Goal (BTTS - No): Coca-Cola scores only 0.55 goals per game on average and El Gounah 0.83, indicating weak offenses. In the last 5 matches both teams produced BTTS only 20% of the time, with Coca-Cola averaging 0.2 goals in the last 5 and El Gounah 0.4, confirming a temporary scoring crisis. Defensively El Gounah has the edge: seasonally they concede 0.58 goals per game and have 50% clean sheets, while Coca-Cola concedes 0.82 and has 36% clean sheets, so there is a high chance of at least one clean sheet. xG shows moderate chance creation — 1.27 (Coca-Cola) and 1.11 (El Gounah) — but low conversion (5% and 9%) translates into far fewer actual goals (0.55 and 0.83), which weakens the case for BTTS - Yes. Considering the league average goals of 1.98 and seasonal BTTS 45%/33% and very low recent 20% for both teams, I estimate BTTS probability at 25% and No BTTS at 75%.

Both teams score rarely: Coca-Cola averages 0.55 goals per match, El Gounah 0.83, combined 1.38, hence a projected total of ~1.40 goals (0.56 home vs 0.84 away). xG is 1.27 for Coca-Cola and 1.11 for El Gounah (xG sum 2.38), but low shot conversion (5% and 9%) shows those chances rarely convert into goals. Seasonal over 2.5 rates are only 9% for the home side and 17% for the away side (average 13%), while over 1.5 occurs 55% and 42% of the time respectively (average 48.5%); our model, with an expected 1.40 goals, yields ~17% probability for Over 2.5 and ~41% for Over 1.5. For these reasons the strongest signal is Under 2.5 (pick: Under at 2.5 line, Under ≈83%), and Over 3.5 is practically excluded (seasonal 0% and model-implied very low ~5%).

At Half-Time I expect a draw: the home side drew at the break in 73% of matches (8 games), and the visitors in 67% (8 games), giving roughly a 70% chance of an HT draw. For Full-Time I favor an El Gounah win because they average 1.58 points per game versus 1.00 for the hosts and win 42% of matches compared to Coca‑Cola’s mere 9% win rate. The home team has not led at the break in any match (leadingAtHT_home = 0.0) and scores 0.0 goals on average before halftime versus 0.25 for the visitors, which limits the plausibility of 1/* scenarios. Although the home xG is 1.27 versus 1.11 for the visitors, shot conversion is 5% for the home side vs 9% for the visitors, so the visitors are more efficient and are most likely to overturn the draw after the break (hence the X/2 selection).