Upset Chance
Risk of unexpected result
Everton FORM
Wolverhampton FORM
Key Factors
Everton's home advantage at their new Hill Dickinson Stadium, where they look to bounce back from a recent 4-2 defeat to Brentford.
Wolves' recent resurgence, having secured their first win of the season (3-0 vs West Ham) and a draw against Manchester United in their last two matches.
Everton's significant missing personnel, including key creators like Iliman Ndiaye and Kiernan Dewsbury-Hall, which may hinder their offensive output.
Wolves' abysmal away record this season, having failed to record a single victory on the road in 10 attempts (0W, 2D, 8L).
Defensive vulnerabilities on both sides, with Everton conceding 4 goals in their last outing and Wolves possessing the league's worst defensive record (40 goals conceded).
Injuries & Absentees
Everton: Jarrad Branthwaite, Kiernan Dewsbury-Hall, Seamus Coleman, and Charly Alcaraz are sidelined. Iliman Ndiaye and Idrissa Gana Gueye are at AFCON. Wolves: Toti Gomes, Marshall Munetsi, and Jean-Ricner Bellegarde are injured. Emmanuel Agbadou is at AFCON. Joao Gomes and Hee-Chan Hwang face late fitness tests.
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Start your free league →Frequently Asked Questions about this prediction
What is the Coach AI prediction for Everton vs Wolverhampton?
Coach AI predicts a score of 2-1 with a win probability of 52% for Everton, 26% draw and 22% for Wolverhampton.
How does Coach AI predict this match?
Coach AI analyzes thousands of data points, including xG, recent form, team news, and tactical developments for every match.
How often are these football predictions updated?
Insights are updated daily to incorporate the latest developments, injuries, and market movements.
How accurate are the Coach AI predictions?
Coach AI has analyzed over 1,000 matches. In 50% of cases, the correct outcome (home win, draw, or away win) is predicted accurately. In more than 10% of matches, the exact final score matches the prediction — significantly above the market average.
What is Coach AI's track record?
Coach AI has predicted over 1,000 matches: 50% correct outcome, 10%+ exact final score. The model consistently outperforms standard probability calculations and gives football fans the data they need to make truly informed predictions.
What data does Coach AI use for its predictions?
Coach AI combines Expected Goals (xG), recent team form over the last five matches, head-to-head records, up-to-date injury news, and tactical match-up analysis. The model is updated daily so every prediction reflects the most current information available.