

Across the season, Erling Haaland leads on total points and the gap stands at 72. On attacking output, Erling Haaland edges the combined goals and assists count with 35 direct contributions. Erling Haaland has 27 goals and 8 assists this season; Ollie Watkins has 16 goals and 4 assists. Ownership sits at 75% for Erling Haaland and 12.3% for Ollie Watkins, 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 £7.5m and £7.0m, there is a £0.5m differential between these two MIDs. On a pure value basis, Dominik Szoboszlai generates more points per million this season. Morgan Rogers at 22.5 against Dominik Szoboszlai at 22.9. The Gameweek 1 expected points model gives Morgan Rogers the edge at 2.6 projected points. With ownership at 30.9% and 47.8% 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 Ollie Watkins at 2.5 for Gameweek 1, against 2.3 for João Pedro, a gap of 0.2 points heading into this gameweek. Form supports that picture: João Pedro has averaged 0.0 points per game over the last six gameweeks, while Ollie Watkins 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, Bruno Fernandes leads on total points and the gap stands at 87. On attacking output, Bruno Fernandes edges the combined goals and assists count with 33 direct contributions. Bruno Fernandes has 9 goals and 24 assists this season; Bryan Mbeumo has 11 goals and 3 assists. Ownership sits at 48.6% for Bruno Fernandes 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 4.0 expected points for Bruno Fernandes.
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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 João Pedro at 2.3 for Gameweek 1, against 2.1 for Jean-Philippe Mateta, a gap of 0.2 points heading into this gameweek. Form supports that picture: João Pedro has averaged 0.0 points per game over the last six gameweeks, while Jean-Philippe Mateta 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, Bruno Fernandes leads on total points and the gap stands at 121. On attacking output, Bruno Fernandes edges the combined goals and assists count with 33 direct contributions. Bruno Fernandes has 9 goals and 24 assists this season; Cole Palmer has 10 goals and 2 assists. Ownership sits at 48.6% for Bruno Fernandes and 12.7% for Cole Palmer, 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 Bruno Fernandes.
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Priced at £8.0m and £6.0m, there is a £2.0m differential between these two DEFs. On a pure value basis, Marc Guéhi generates more points per million this season. Gabriel at 26.1 against Marc Guéhi at 29.8. The Gameweek 1 expected points model gives Gabriel the edge at 4.0 projected points. With ownership at 25.8% and 24% 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 2.5 for Pedro Porro, a gap of 0.3 points heading into this gameweek. Form supports that picture: Marc Guéhi has averaged 0.0 points per game over the last six gameweeks, while Pedro Porro 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, Morgan Rogers leads on total points and the gap stands at 21. On attacking output, Morgan Rogers edges the combined goals and assists count with 18 direct contributions. Bryan Mbeumo has 11 goals and 3 assists this season; Morgan Rogers has 10 goals and 8 assists. Ownership sits at 16.4% for Bryan Mbeumo and 30.9% for Morgan Rogers, 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 Bryan Mbeumo.
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Priced at £6.0m and £6.5m, there is a £0.5m 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 Nico O'Reilly at 24.6. The Gameweek 1 expected points model gives Nico O'Reilly the edge at 3.1 projected points. With ownership at 24% and 22.9% 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 Gabriel at 4.0 for Gameweek 1, against 1.7 for Ezri Konsa, a gap of 2.3 points heading into this gameweek. Form supports that picture: Gabriel 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, Marc Guéhi leads on total points and the gap stands at 79. On attacking output, Marc Guéhi edges the combined goals and assists count with 8 direct contributions. Marc Guéhi has 3 goals and 5 assists this season; Ezri Konsa has 0 goals and 1 assists. Ownership sits at 24% for Marc Guéhi and 17.5% for Ezri Konsa, 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 Marc Guéhi.
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Priced at £6.5m and £6.5m, there is a £0.0m differential between these two DEFs. On a pure value basis, Virgil generates more points per million this season. Nico O'Reilly at 24.6 against Virgil at 26.9. The Gameweek 1 expected points model gives Nico O'Reilly the edge at 3.1 projected points. With ownership at 22.9% 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 Pedro Porro at 2.5 for Gameweek 1, against 2.2 for Neco Williams, a gap of 0.3 points heading into this gameweek. Form supports that picture: Neco Williams has averaged 0.0 points per game over the last six gameweeks, while Pedro Porro 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, Riccardo Calafiori leads on total points and the gap stands at 9. On attacking output, Riccardo Calafiori edges the combined goals and assists count with 3 direct contributions. Riccardo Calafiori has 1 goals and 2 assists this season; Ezri Konsa has 0 goals and 1 assists. Ownership sits at 15.1% for Riccardo Calafiori and 17.5% for Ezri Konsa, 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 £8.0m and £6.0m, there is a £2.0m differential between these two MIDs. On a pure value basis, Iliman Ndiaye generates more points per million this season. Cunha at 17.9 against Iliman Ndiaye at 21.3. The Gameweek 1 expected points model gives Cunha the edge at 2.8 projected points. With ownership at 14.6% 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 Cunha at 2.8 for Gameweek 1, against 2.8 for Bryan Mbeumo, a gap of 0.0 points heading into this gameweek. Form supports that picture: Cunha has averaged 0.0 points per game over the last six gameweeks, while Bryan Mbeumo 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, Virgil leads on total points and the gap stands at 47. On attacking output, Virgil edges the combined goals and assists count with 7 direct contributions. Neco Williams has 2 goals and 3 assists this season; Virgil has 6 goals and 1 assists. Ownership sits at 13.3% for Neco Williams and 16.2% for Virgil, 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 Virgil.
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Priced at £7.5m and £8.0m, there is a £0.5m differential between these two FWDs. On a pure value basis, Igor Thiago generates more points per million this season. Viktor Gyökeres at 17.1 against Igor Thiago at 22.6. The Gameweek 1 expected points model gives Igor Thiago the edge at 2.5 projected points. With ownership at 13.1% and 15.8% 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 Jean-Philippe Mateta at 2.1 for Gameweek 1, against 2.0 for Brian Brobbey, a gap of 0.1 points heading into this gameweek. Form supports that picture: Brian Brobbey has averaged 0.0 points per game over the last six gameweeks, while Jean-Philippe Mateta 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, Cunha leads on total points and the gap stands at 29. On attacking output, Cunha edges the combined goals and assists count with 14 direct contributions. Cunha has 10 goals and 4 assists this season; Cole Palmer has 10 goals and 2 assists. Ownership sits at 14.6% for Cunha and 12.7% for Cole Palmer, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 3.2 expected points for Cole Palmer.
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Priced at £5.5m and £6.0m, there is a £0.5m differential between these two DEFs. On a pure value basis, Maxence Lacroix generates more points per million this season. Riccardo Calafiori at 19.8 against Maxence Lacroix at 25.7. The Gameweek 1 expected points model gives Maxence Lacroix the edge at 2.8 projected points. With ownership at 15.1% and 12% 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, Igor Thiago leads on total points and the gap stands at 77. On attacking output, Igor Thiago edges the combined goals and assists count with 23 direct contributions. Beto has 9 goals and 1 assists this season; Igor Thiago has 22 goals and 1 assists. Ownership sits at 3.3% for Beto and 15.8% for Igor Thiago, 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 Igor Thiago.
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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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