Bologna vs Sassuolo Prediction, Odds & AI Match Analysis

AI Match Analysis

SnapBet AI assigns a 44% win probability to Bologna, based on recent form, home dominance, and matchup context.

Bologna is favored to win this match based on their recent form and home advantage. While Sassuolo poses a threat, particularly in attack, Bologna's consistency and historical performance against Sassuolo make them the likely victors. Betting on a Bologna win offers reasonable value, with alternative bets on goals also worth considering.

Key Factors Driving the Prediction

• Bologna's strong home performance in recent matches.
• Sassuolo's inconsistent form, especially in away games.
• Historical head-to-head advantage for Bologna.
• No significant injuries reported for either team, ensuring full-strength squads.
• Betting favoring Bologna, reflecting market confidence.

Team Snapshots

Bologna

Bologna has shown resilience with a mix of wins and a draw in their last five matches, indicating a competitive form.

• Strengths: Solid home performance with recent wins against Parma and a draw against Lazio., Strong offensive capabilities as seen in their win against Celta Vigo.
• Weaknesses: Struggles against top-tier teams, evident in losses to Napoli and Juventus.
• Injuries/Availability: No significant injuries reported, allowing Bologna to field their best lineup.

Sassuolo

Sassuolo's recent form is inconsistent, with only one win in their last five matches, highlighting potential vulnerabilities.

• Strengths: Capable of scoring against strong teams, as seen in their draw against AC Milan.
• Weaknesses: Inconsistent form with losses to lower-ranked teams like Como., Defensive vulnerabilities, conceding multiple goals in recent matches.
• Injuries/Availability: No significant injuries reported, ensuring Sassuolo can field a competitive squad.

Market Context

Market odds imply a 55% probability for Bologna, which is higher than our model's 44% projection. This indicates the market is more optimistic than our conservative AI assessment.

Risk & Uncertainty

Model Risk: High — multiple factors introduce variability, and the model suggests caution in interpreting this projection.