Salernitana vs AS Roma
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Salernitana
AS Roma
Analyse du match
Formulaire
😣 Salernitana is struggling, having suffered 3 losses in their last 5 Serie A matches.
😑 AS Roma's recent form is mixed, with 2 wins, 2 losses, and 1 draw in their last 5 Serie A matches.
Attaque
😎 Salernitana has shown a solid attacking presence, netting 6 goals in their last 5 Serie A matches.
😎 AS Roma has shown a solid attacking presence, netting 6 goals in their last 5 Serie A matches.
La défense
😣 Salernitana has struggled defensively, conceding 8 goals in their last 5 Serie A matches.
😎 AS Roma has been fairly resilient defensively, allowing 6 goals in their last 5 Serie A matches.
Objectifs
H2H
🔥 AS Roma has historically dominated against Salernitana, winning over 85% of their past encounters.
Aperçu du match
In Monday’s Serie A clash, Salernitana is set to host AS Roma.
The teams find themselves at opposite ends of the league table, with AS Roma occupying the 8th position with 32 points, while Salernitana is positioned at the bottom with 12 points.
Salernitana’s struggles continue, as they come into this match on the back of a 1-2 loss against Genoa. Despite taking an early lead, they couldn’t secure the win, succumbing to a second-half penalty.
AS Roma, under new management, has shown promise. They secured a 2-1 victory against Verona and displayed their prowess in club friendlies with a 2-1 win over Al Shabab. The return of Romelu Lukaku to scoring form adds firepower to the Roma attack.
Considering Salernitana’s recent poor form and Roma’s positive momentum, we predict AS Roma to emerge victorious in this Serie A encounter.
AS Roma have scored 6 goals and conceded 6 goals in their last 5 games.
Conseils et pronostics
The match prediction for the football match between Salernitana and AS Roma in the Serie A uses several algorithms including team form comparison, head-to-head (h2h), and other important statistics.
Nous utilisons ces modèles statistiques avancés en combinaison avec les nouvelles les plus récentes et les avis d'experts pour analyser les données et établir les prévisions les plus précises possibles.
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