Casa Pia vs Guimaraes Prediction, Odds & AI Match Analysis

AI Match Analysis

SnapBet AI assigns a 17% win probability to Guimaraes, based on recent form, home dominance, and matchup context.

Guimaraes is favored to win based on their current form and away performance. While there are risks due to Casa Pia's potential home advantage and historical draw tendency, the provide value for an away win .

Key Factors Driving the Prediction

• Guimaraes' strong away form, including a win against FC Porto.
• Casa Pia's recent struggles at home, with two losses and a draw in their last three home games.
• The historical head-to-head record shows a balanced competition with draws and narrow victories.
• Current betting favor Guimaraes, indicating market confidence in their performance.
• AI model prediction supports an away win with a higher probability.

Team Snapshots

Casa Pia

Casa Pia's form is concerning, with only one win in their last five matches and poor home performance.

• Strengths: Capable of securing wins against mid-tier teams, as seen in their victory over Tondela.
• Weaknesses: Inconsistent home performance with recent losses., Struggles in maintaining defensive solidity, conceding in all recent matches.
• Injuries/Availability: No significant injuries reported, but form issues persist.

Guimaraes

Guimaraes shows promising form, particularly away from home, with two wins in their last five matches.

• Strengths: Strong recent away performance, including a significant win against FC Porto., Solid defensive displays in recent matches, with two clean sheets.
• Weaknesses: Inconsistency in home matches, as seen in losses against Sporting CP and AVS.
• Injuries/Availability: No significant injuries reported, allowing for a full-strength squad.

Market Context

Market odds imply a 40% probability for Guimaraes, which is higher than our model's 17% 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.