Everton vs Sunderland Prediction, Odds & AI Match Analysis

AI Match Analysis

SnapBet AI assigns a 29% win probability to Everton, based on recent form, home dominance, and matchup context.

Everton is favored to win due to their home advantage and historical success against Sunderland. However, given their recent form and Sunderland's defensive resilience, a cautious approach with moderate betting is recommended.

Key Factors Driving the Prediction

• Everton's home advantage and historical dominance over Sunderland
• Sunderland's recent defensive resilience, with multiple draws against strong teams
• Everton's inconsistent recent form, especially in home matches
• The absence of significant injuries for both teams, allowing for optimal squad selection
• Betting suggesting a slight edge for Everton, but with close competition

Team Snapshots

Everton

Everton's recent form is mixed, with a win, two draws, and two losses in their last five matches, indicating inconsistency.

• Strengths: Home advantage at Hill Dickinson Stadium, Historically strong performance against Sunderland
• Weaknesses: Inconsistent recent form, particularly in home matches, Struggles in converting chances into goals
• Injuries/Availability: No significant injuries reported, allowing Everton to field a strong lineup.

Sunderland

Sunderland has shown defensive resilience but lacks offensive threat, with four draws and one loss in their last five matches.

• Strengths: Solid defensive performances, evident in recent draws against top teams, Ability to secure points away from home
• Weaknesses: Lack of attacking prowess, as seen in their recent goalless draws, Struggles to secure wins, with four draws in their last five matches
• Injuries/Availability: No significant injuries reported, allowing Sunderland to maintain their defensive setup.

Market Context

Market odds imply a 38% probability for Everton, which is higher than our model's 29% 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.