Haras El Hodood vs Coca-Cola: match statistics

Haras El Hodood sit 18th in the table with a season record of 4–6–12 and 17 goals scored, while Coca‑Cola are 13th with a 5–10–7 record and 19 goals. At home Haras averages 1.00 goals per match and has scored 4 goals in the last 5 games, whereas Coca‑Cola average just 0.73 goals on the road and have 2 goals in their last 5 away fixtures; over the last five matches the hosts have averaged 0.8 points per game versus 0.6 for the visitors. In terms of chance quality xG is similar (1.16 xG for Haras at home vs 1.12 xG for Coca‑Cola away), but the hosts convert chances more efficiently — shot conversion 11% vs 8% with a comparable shots on target average of 2.91. Defensively the hosts concede 1.36 goals per home match and the visitors 1.27 on the road, but Haras record 36% clean sheets at home versus just 9% for Coca‑Cola, and the percentage of matches without scoring is 27% for the hosts against 55% for the visitors, which limits the opponent’s offensive threat. Considering the higher conversion (11% vs 8%), lower share of matches without a goal (27% vs 55%) and marginally better recent points average (0.8 vs 0.6), I predict a home win, although a draw remains plausible given Coca‑Cola’s higher league position.

Home side seasonal BTTS rate is 64%, away 45%, with a league average of 46%, providing initial support for a both teams to score scenario. This season Haras El Hodood averages 1.00 goals scored and 1.00 conceded, while Coca‑Cola averages 0.73 scored and 1.27 conceded per match, meaning the visitors statistically concede more than they score. xG shows 1.23 for the home team and 1.12 for the away team, with xG against at 1.18 for the home side and 1.40 for the away side, suggesting both sides generate ~1.1 xG and have realistic scoring chances. However, in the last 5 matches both teams have only a 40% BTTS rate; the home team scored 4 goals in five (0.8 per match) and the visitors only 2 (0.4), which lowers confidence in the away side’s scoring form. In summary: the higher seasonal BTTS for the home team (64%) and xG >1.1 on both sides outweigh the visitors’ weakened scoring form, so I assess BTTS - Yes as more likely (62% vs 38%).

Based on xG and xG against I calculated expected goals: the home team has xG_for = 1.23 and xG_against_away = 1.40, yielding an expected ≈1.32 goals; the visitors have xG_for = 1.12 and xG_against_home = 1.18, yielding ≈1.15 goals, total ≈2.47 goals. A Poisson model with λ=2.47 suggests probabilities of Over 1.5 ≈71%, Over 2.5 ≈45% and Over 3.5 ≈24%. This aligns with seasonal metrics: Over1.5 occurs for the home team in 64% and for the visitors in 73% of matches, while Over2.5 is only 36% for both teams, which explains the drop in likelihood at the 2.5 line. Additionally, both teams have high percentages of matches with at least one goal (Over0.5 82% and 91%) and weaker defensive records (home concede on average 1.0 goal, visitors 1.27; visitors keep a clean sheet in only 9% of matches), increasing the probability of at least two goals in the match. As a result the strongest signal is a bet on Over 1.5 (line 1.5, over), while Over 2.5 is only moderately likely.

First-half statistics strongly support a draw: hosts were level at the break in 64% of matches, visitors in 55%, with a very low first-half goal average (hosts 0.18, visitors 0.36) and as many as 82% of matches with clean sheets at the break for both teams. After the break hosts show greater offensive activity — they score an average of 0.82 goals in second halves versus 0.36 for visitors, they earned 13 points in second halves compared to 6 for visitors and have 1.18 points per match in the second half vs 0.55 for the away side. Despite this second-half advantage for hosts, the overall distribution of full-time results shows a high share of draws for hosts (64% draws), which reduces the likelihood of a definitive home win. As a result the strongest signal is a draw at half-time and a draw at full-time (HT/FT X/X — 40%), with a smaller but noticeable risk of a turnaround in favor of the hosts after the break (HT/FT X/1 — 15%) or an away upset (HT/FT X/2 — 9%).