Hassania Agadir vs Ittihad Tanger: match statistics

I predict a draw (X) because both teams are clearly struggling with finishing and form: Hassania Agadir have scored 12 goals this season (2 in the last 5 matches), and Ittihad Tanger 11 goals (2 in the last 5), and neither has won any of their last 5 matches. Defensively the hosts have a slight edge — Hassania concede 1.29 goals at home vs Tanger’s 1.43 away, and the hosts have 29% clean sheets at home compared to 0% clean sheets for the visitors on the road. The visitors create slightly more chances (average xG For 1.33 vs 1.24 for the hosts, 10.29 shots and 3.0 shots on target vs 9.43 and 2.71), but conversion is low (7% for Ittihad, 8% for Hassania) and both teams fail to score in 57% of matches. In the last 5 matches the hosts’ PPG is 0.4 vs 0.2 for the visitors, and the higher xG against for the visitors (1.50 vs 1.26) indicates bigger defensive gaps for Tanger. Therefore I assign a 40% probability to a draw, 40% to a home win and 20% to an away win, reflecting Hassania’s marginal defensive advantage against the low finishing of both attacks.

Seasonal BTTS indicators favor "Yes": Hassania has 63% of matches with both teams scoring, Ittihad 43%, against a league average of 47%. Both sides concede frequently – averaging 1.13 (Hassania) and 1.43 (Ittihad), roughly 1.28 goals conceded per team per match, and Ittihad have 0% clean sheets away (concede in every away game). Counterarguments are low scoring efficiency: average goals scored 0.75 (Hassania) and 0.71 (Ittihad) and only 0.4 goals per game combined for both in the last 5 fixtures, which lowers BTTS confidence. However, xG indicates chances are being created (xG_for 1.18 vs 1.33) and both teams allow a lot of expected goals defensively (xG_against 1.41 vs 1.50), so weighing all data the more likely scenario is BTTS - Yes.

Seasonal stats provide a strong signal for Over 1.5: 75% of Hassanii’s matches and 71% of Ittihad’s matches have exceeded 1.5 goals (average 73%). An xG-based model gives 1.34 expected goals for the home side (1.18 xG for attack vs 1.50 xG for opponent’s defense) and 1.37 for the away side (1.33 vs 1.41), totalling 2.71 expected goals. Low shot conversion rates (8% and 7%) and a moderate number of shots on target (2.38 and 3.00) reduce the likelihood of Over 2.5 — seasonal Over 2.5 rates are 25% and 29% (average 27%), so I assess Over 2.5 at roughly 32%. Over 3.5 is unlikely (0% for the home team and 14% for the away team, average 7%), therefore I recommend playing Over 1.5 as the strongest signal.

Statistics indicate few goals in the first half and a strong prevalence of draws at the break: the home side were level at half-time in 75% of matches (drawingAtHTPercentage_home = 75.0), and their average goals by HT is only 0.5 (AVGHT_home = 0.5) with 0.25 scored and 0.25 conceded. The full-time result is also dominated by draws — the hosts have 63% draws this season (drawPercentage_home = 63.0) — while the away team’s short-term form is poor (in the last 5 matches 0% wins and 80% losses, last5_winPercentage_overall_away = 0.0, last5_losePercentage_overall_away = 80.0), suggesting a defensive and conservative match. Chance-quality analysis shows moderate xG values: 1.18 xG for the home side vs 1.33 for the away, with xG against 1.41 and 1.5, and shot conversion around 8% and 7%, i.e., a low number of goals despite chances. Therefore the strongest signal from the data is a draw at half-time and a draw at full-time (X/X), with a lower probability of a turnaround after the break.