National Bank of Egypt vs Coca-Cola: match statistics

I back the home win (1): National Bank of Egypt holds a clear edge in home attacking efficiency, averaging 1.08 goals per game with xG 1.45 and 3.69 shots on target, while Coca-Cola away score only 0.77 goals with xG 1.10 and 2.69 shots on target. In the last 5 matches the hosts have scored 7 goals and average 1.8 points per game, whereas the visitors have scored just 3 goals and 1.2 points per game, clearly highlighting NBE’s form advantage. The hosts control possession more often (56% average possession) and create more shots (13.08 average attempts and 3.69 shots on target) compared to 47% possession and 9.08 attempts with 2.69 shots on target for the visitors. Defensively the numbers are similar — 1.00 goal conceded by the hosts at home versus 1.08 conceded by Coca-Cola away — but the visitors’ issue is away finishing: in 54% of away matches they fail to score. Considering the higher xG (1.45 vs 1.10), greater chance volume and better recent figures (7 goals vs 3), I assess probabilities at 55% for the home win, 25% for a draw and 20% for the away win.

xG-based models give a moderate signal against BTTS: home xG 1.23 and away xG 1.10, translating to roughly 71% probability of the home side scoring at least once and 67% for the away side (BTTS from these forecasts ~47%). However, observed goal averages are lower — home 0.86 and away 0.77 this season — which, using a simple Poisson model, reduces the joint BTTS probability to about 31%. Additionally, Coca‑Cola failed to score in 54% of their matches this season and has only 20% BTTS in the last 5 fixtures, a strong indicator against both teams scoring. The home team posts 57% BTTS at home and averaged 1.4 goals in their last 5 matches (60% BTTS), but that does not offset the visitors’ offensive weakness (0.77 seasonally, 0.6 in the last 5). Considering all figures, I favor the BTTS - No scenario: 38% Yes vs 62% No.

The xG-based model yields total expected goals ≈2.41: the home attack has xG 1.23 against the away defense 1.33 (implied ≈1.28 goals for the home side), while the away attack has xG 1.10 against the home defense 1.16 (implied ≈1.13 goals for the away side). Seasonal shares show Over 1.5 occurred in 57% of home matches and 69% of away matches (average ≈63%), whereas Over 2.5 only in 36% and 31% of cases (average ≈34%), so the 2.5 line is less likely. The 3.5 line provides the strongest signal: Over 3.5 occurred for the home team in 21% of matches and for the away team in 0% (average ≈10.5%), which historically corresponds to roughly an 89% share of Under 3.5 on a simple average. Additionally, in the last 5 matches the home side scored 7 goals (1.4 avg) and conceded 6, while the away side scored 3 and conceded 3, confirming moderate offensive output and reinforcing the Under 3.5 recommendation.

Statistical analysis indicates the most likely Half-Time result is a draw: hosts were level at the break in 64% of matches, visitors in 54%, while leads at the break were 14% for hosts and 31% for visitors, yielding an estimated ~56% chance of a draw at half-time. After the break the advantage shifts to the hosts – their xG is 1.23 versus 1.10 for the visitors, and in the second half hosts average 0.71 goals vs 0.38 for visitors, which favors turnarounds. Additionally, hosts have scored most frequently in minutes 46–60 (5 goals), while visitors concede on average 0.85 goals in the second half, so maintaining a lead for the away side after the break is difficult. Based on this I assign the highest probability to the scenario draw at half-time and home win (X/1), estimating it at 25%; overall I attribute 56% probability to scenarios with a draw at half-time, 14% to cases where hosts lead at the break and 30% when visitors lead. Remaining values reflect that when hosts lead at half-time they most often hold the win (1/1 = 10%), and when visitors lead at half-time they are more likely to finish winning than losing (2/2 = 18%).