Premier League predictions

Across its last 10 competitive matches, Manchester City scores 2.1 and concedes 1.3 goals per match. Across its last 10 competitive matches, Fulham scores 1.0 and concedes 1.2 goals per match. For Home win · Manchester City, the model estimates a 62% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Manchester City scores 2.1 and concedes 1.3 goals per match. Across its last 10 competitive matches, Fulham scores 1.0 and concedes 1.2 goals per match. These scoring and conceding profiles lead to an estimated total of 2.9 goals. The selected line is 2.75: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Manchester City scores 2.1 and concedes 1.3 goals per match. Across its last 10 competitive matches, Fulham scores 1.0 and concedes 1.2 goals per match. The estimated chance of a goal from both teams is 53%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

Manchester City wins 6.1 corners per match across its last 10 recorded games, against 5.9 for Fulham across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.

Across its last 10 competitive matches, Aston Villa scores 1.4 and concedes 1.7 goals per match. Across its last 10 competitive matches, Sunderland scores 0.8 and concedes 1.7 goals per match. For Home win · Aston Villa, the model estimates a 53% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Aston Villa scores 1.4 and concedes 1.7 goals per match. Across its last 10 competitive matches, Sunderland scores 0.8 and concedes 1.7 goals per match. These scoring and conceding profiles lead to an estimated total of 2.7 goals. The selected line is 2.75: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Aston Villa scores 1.4 and concedes 1.7 goals per match. Across its last 10 competitive matches, Sunderland scores 0.8 and concedes 1.7 goals per match. The estimated chance of a goal from both teams is 52%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

Aston Villa wins 3.4 corners per match across its last 10 recorded games, against 4.0 for Sunderland across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.

Across its last 10 competitive matches, Bournemouth scores 1.6 and concedes 1.4 goals per match. Across its last 10 competitive matches, Nottingham Forest scores 0.9 and concedes 1.3 goals per match. For Home win · Bournemouth, the model estimates a 48% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Bournemouth scores 1.6 and concedes 1.4 goals per match. Across its last 10 competitive matches, Nottingham Forest scores 0.9 and concedes 1.3 goals per match. These scoring and conceding profiles lead to an estimated total of 2.7 goals. The selected line is 2: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Bournemouth scores 1.6 and concedes 1.4 goals per match. Across its last 10 competitive matches, Nottingham Forest scores 0.9 and concedes 1.3 goals per match. The estimated chance of a goal from both teams is 54%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

Bournemouth wins 4.8 corners per match across its last 10 recorded games, against 4.5 for Nottingham Forest across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.

Across its last 10 competitive matches, Chelsea scores 1.9 and concedes 1.6 goals per match. Across its last 10 competitive matches, Leeds scores 1.0 and concedes 0.8 goals per match. For Home win · Chelsea, the model estimates a 48% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Chelsea scores 1.9 and concedes 1.6 goals per match. Across its last 10 competitive matches, Leeds scores 1.0 and concedes 0.8 goals per match. These scoring and conceding profiles lead to an estimated total of 2.6 goals. The selected line is 2.75: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Chelsea scores 1.9 and concedes 1.6 goals per match. Across its last 10 competitive matches, Leeds scores 1.0 and concedes 0.8 goals per match. The estimated chance of a goal from both teams is 52%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

Chelsea wins 5.5 corners per match across its last 10 recorded games, against 4.3 for Leeds across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.

Across its last 10 competitive matches, Coventry scores 1.0 and concedes 1.9 goals per match. Across its last 10 competitive matches, Crystal Palace scores 1.0 and concedes 2.4 goals per match. For Home win · Coventry, the model estimates a 44% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

No selection guarantees a win. Bets involve a risk of loss.

Across its last 10 competitive matches, Coventry scores 1.0 and concedes 1.9 goals per match. Across its last 10 competitive matches, Crystal Palace scores 1.0 and concedes 2.4 goals per match. These scoring and conceding profiles lead to an estimated total of 2.9 goals. The selected line is 2.75: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

No selection guarantees a win. Bets involve a risk of loss.

Across its last 10 competitive matches, Coventry scores 1.0 and concedes 1.9 goals per match. Across its last 10 competitive matches, Crystal Palace scores 1.0 and concedes 2.4 goals per match. The estimated chance of a goal from both teams is 57%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

No selection guarantees a win. Bets involve a risk of loss.

Coventry wins 3.6 corners per match across its last 10 recorded games, against 3.3 for Crystal Palace across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.

No selection guarantees a win. Bets involve a risk of loss.

Across its last 10 competitive matches, Tottenham scores 1.0 and concedes 1.1 goals per match. Across its last 10 competitive matches, Ipswich scores 1.5 and concedes 2.0 goals per match. For Home win · Tottenham, the model estimates a 54% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Tottenham scores 1.0 and concedes 1.1 goals per match. Across its last 10 competitive matches, Ipswich scores 1.5 and concedes 2.0 goals per match. These scoring and conceding profiles lead to an estimated total of 3.1 goals. The selected line is 2.75: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Tottenham scores 1.0 and concedes 1.1 goals per match. Across its last 10 competitive matches, Ipswich scores 1.5 and concedes 2.0 goals per match. The estimated chance of a goal from both teams is 59%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

Tottenham wins 7.5 corners per match across its last 10 recorded games, against 2.8 for Ipswich across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.

Across its last 10 competitive matches, Newcastle scores 1.3 and concedes 1.6 goals per match. Across its last 10 competitive matches, Arsenal scores 1.5 and concedes 0.5 goals per match. For Away win · Arsenal, the model estimates a 48% chance. The draw and opposite result remain possible. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Newcastle scores 1.3 and concedes 1.6 goals per match. Across its last 10 competitive matches, Arsenal scores 1.5 and concedes 0.5 goals per match. These scoring and conceding profiles lead to an estimated total of 2.5 goals. The selected line is 2.5: a tighter match is the main risk. Competition history and recent form inform this estimate. The match can unfold differently.

Across its last 10 competitive matches, Newcastle scores 1.3 and concedes 1.6 goals per match. Across its last 10 competitive matches, Arsenal scores 1.5 and concedes 0.5 goals per match. The estimated chance of a goal from both teams is 49%. One team failing to score is enough to lose this bet. Competition history and recent form inform this estimate. The match can unfold differently.

Newcastle wins 4.3 corners per match across its last 10 recorded games, against 5.7 for Arsenal across 10. The calculation combines corners won with those conceded by the opponent. A different match tempo can upset the estimate.