Priced at £15.5m and £7.5m, there is a £8.0m differential between these two FWDs. On a pure value basis, João Pedro generates more points per million this season. Erling Haaland at 15.4 against João Pedro at 23.6. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 75% and 54.7% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Bruno Fernandes at 4.0 for Gameweek 1, against 2.5 for Dominik Szoboszlai, a gap of 1.5 points heading into this gameweek. Form supports that picture: Bruno Fernandes has averaged 0.0 points per game over the last six gameweeks, while Dominik Szoboszlai is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Erling Haaland leads on total points and the gap stands at 147. On attacking output, Erling Haaland edges the combined goals and assists count with 35 direct contributions. Brian Brobbey has 7 goals and 2 assists this season; Erling Haaland has 27 goals and 8 assists. Ownership sits at 21% for Brian Brobbey and 75% for Erling Haaland, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 4.0 expected points for Erling Haaland.
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Priced at £15.5m and £8.0m, there is a £7.5m differential between these two FWDs. On a pure value basis, Ollie Watkins generates more points per million this season. Erling Haaland at 15.4 against Ollie Watkins at 20.9. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 75% and 12.3% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Bruno Fernandes at 4.0 for Gameweek 1, against 2.6 for Morgan Rogers, a gap of 1.4 points heading into this gameweek. Form supports that picture: Bruno Fernandes has averaged 0.0 points per game over the last six gameweeks, while Morgan Rogers is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, João Pedro leads on total points and the gap stands at 35. On attacking output, João Pedro edges the combined goals and assists count with 24 direct contributions. Dominic Calvert-Lewin has 14 goals and 2 assists this season; João Pedro has 15 goals and 9 assists. Ownership sits at 20.6% for Dominic Calvert-Lewin and 54.7% for João Pedro, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.3 expected points for João Pedro.
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Priced at £12.0m and £8.0m, there is a £4.0m differential between these two MIDs. On a pure value basis, Bruno Fernandes generates more points per million this season. Bruno Fernandes at 19.6 against Cunha at 17.9. The Gameweek 1 expected points model gives Bruno Fernandes the edge at 4.0 projected points. With ownership at 48.6% and 14.6% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Cole Palmer at 3.2 for Gameweek 1, against 2.5 for Dominik Szoboszlai, a gap of 0.7 points heading into this gameweek. Form supports that picture: Cole Palmer has averaged 0.0 points per game over the last six gameweeks, while Dominik Szoboszlai is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Gabriel leads on total points and the gap stands at 30. On attacking output, Gabriel edges the combined goals and assists count with 8 direct contributions. Gabriel has 3 goals and 5 assists this season; Marc Guéhi has 3 goals and 5 assists. Ownership sits at 25.8% for Gabriel and 24% for Marc Guéhi, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 4.0 expected points for Gabriel.
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Priced at £8.0m and £5.5m, there is a £2.5m differential between these two DEFs. On a pure value basis, Gabriel generates more points per million this season. Gabriel at 26.1 against Pedro Porro at 21.3. The Gameweek 1 expected points model gives Gabriel the edge at 4.0 projected points. With ownership at 25.8% and 23.9% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Marc Guéhi at 2.8 for Gameweek 1, against 1.7 for Luke Shaw, a gap of 1.1 points heading into this gameweek. Form supports that picture: Marc Guéhi has averaged 0.0 points per game over the last six gameweeks, while Luke Shaw is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Marc Guéhi leads on total points and the gap stands at 19. On attacking output, Nico O'Reilly edges the combined goals and assists count with 9 direct contributions. Marc Guéhi has 3 goals and 5 assists this season; Nico O'Reilly has 5 goals and 4 assists. Ownership sits at 24% for Marc Guéhi and 22.9% for Nico O'Reilly, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 3.1 expected points for Nico O'Reilly.
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Priced at £8.0m and £6.5m, there is a £1.5m differential between these two DEFs. On a pure value basis, Virgil generates more points per million this season. Gabriel at 26.1 against Virgil at 26.9. The Gameweek 1 expected points model gives Gabriel the edge at 4.0 projected points. With ownership at 25.8% and 16.2% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Marc Guéhi at 2.8 for Gameweek 1, against 1.7 for Ezri Konsa, a gap of 1.1 points heading into this gameweek. Form supports that picture: Marc Guéhi has averaged 0.0 points per game over the last six gameweeks, while Ezri Konsa is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Pedro Porro leads on total points and the gap stands at 8. On attacking output, Pedro Porro edges the combined goals and assists count with 4 direct contributions. Riccardo Calafiori has 1 goals and 2 assists this season; Pedro Porro has 1 goals and 3 assists. Ownership sits at 15.1% for Riccardo Calafiori and 23.9% for Pedro Porro, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.5 expected points for Riccardo Calafiori.
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Priced at £6.0m and £5.0m, there is a £1.0m differential between these two DEFs. On a pure value basis, Marc Guéhi generates more points per million this season. Marc Guéhi at 29.8 against Neco Williams at 25.6. The Gameweek 1 expected points model gives Marc Guéhi the edge at 2.8 projected points. With ownership at 24% and 13.3% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Viktor Gyökeres at 2.3 for Gameweek 1, against 2.0 for Brian Brobbey, a gap of 0.3 points heading into this gameweek. Form supports that picture: Brian Brobbey has averaged 0.0 points per game over the last six gameweeks, while Viktor Gyökeres is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Bryan Mbeumo leads on total points and the gap stands at 5. On attacking output, Cunha edges the combined goals and assists count with 14 direct contributions. Cunha has 10 goals and 4 assists this season; Bryan Mbeumo has 11 goals and 3 assists. Ownership sits at 14.6% for Cunha and 16.4% for Bryan Mbeumo, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.8 expected points for Cunha.
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Priced at £6.0m and £6.0m, there is a £0.0m differential between these two MIDs. On a pure value basis, Enzo Le Fée generates more points per million this season. Enzo Le Fée at 24.5 against Iliman Ndiaye at 21.3. The Gameweek 1 expected points model gives Enzo Le Fée the edge at 2.1 projected points. With ownership at 12.2% and 17.1% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Cole Palmer at 3.2 for Gameweek 1, against 2.8 for Bryan Mbeumo, a gap of 0.4 points heading into this gameweek. Form supports that picture: Bryan Mbeumo has averaged 0.0 points per game over the last six gameweeks, while Cole Palmer is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Jean-Philippe Mateta leads on total points and the gap stands at 22. On attacking output, Jean-Philippe Mateta edges the combined goals and assists count with 12 direct contributions. Brian Brobbey has 7 goals and 2 assists this season; Jean-Philippe Mateta has 12 goals and 0 assists. Ownership sits at 21% for Brian Brobbey and 7.1% for Jean-Philippe Mateta, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.1 expected points for Jean-Philippe Mateta.
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Priced at £8.0m and £9.5m, there is a £1.5m differential between these two MIDs. On a pure value basis, Cunha generates more points per million this season. Cunha at 17.9 against Cole Palmer at 12. The Gameweek 1 expected points model gives Cole Palmer the edge at 3.2 projected points. With ownership at 14.6% and 12.7% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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The expected points model has Dominic Calvert-Lewin at 2.0 for Gameweek 1, against 1.8 for Beto, a gap of 0.2 points heading into this gameweek. Form supports that picture: Beto has averaged 0.0 points per game over the last six gameweeks, while Dominic Calvert-Lewin is averaging 0.0. Both players are competing for budget space in millions of squads, and the decision often comes down to who carries better short-term momentum. The full fixture run and detailed head-to-head breakdown are available on the comparison page.
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Across the season, Viktor Gyökeres leads on total points and the gap stands at 14. On attacking output, Viktor Gyökeres edges the combined goals and assists count with 15 direct contributions. Viktor Gyökeres has 14 goals and 1 assists this season; Igor Jesus has 6 goals and 6 assists. Ownership sits at 13.1% for Viktor Gyökeres and 4.9% for Igor Jesus, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.3 expected points for Viktor Gyökeres.
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Priced at £5.5m and £6.0m, there is a £0.5m differential between these two FWDs. On a pure value basis, Igor Jesus generates more points per million this season. Beto at 18.9 against Igor Jesus at 19. The Gameweek 1 expected points model gives Igor Jesus the edge at 2.0 projected points. With ownership at 3.3% and 4.9% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
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25 random matchups from the top 10 most-owned defenders, midfielders and forwards for GW1. Ranked by combined ownership. Excludes goalkeepers and ruled-out players. Refreshes each visit.
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