FPL Head-to-Head Picks for Gameweek 1

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 £5.5m and £15.5m, there is a £10.0m differential between these two FWDs. On a pure value basis, Beto generates more points per million this season. Beto at 18.9 against Erling Haaland at 15.4. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 3.3% and 75% 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 2.0 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 João Pedro 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 51. 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; Declan Rice has 4 goals and 9 assists. Ownership sits at 48.6% for Bruno Fernandes and 22.3% for Declan Rice, 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 £6.0m and £7.0m, there is a £1.0m differential between these two MIDs. On a pure value basis, Dominik Szoboszlai generates more points per million this season. Iliman Ndiaye at 21.3 against Dominik Szoboszlai at 22.9. The Gameweek 1 expected points model gives Dominik Szoboszlai the edge at 2.5 projected points. With ownership at 17.1% 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 Pedro Porro at 2.5 for Gameweek 1, against 1.7 for Luke Shaw, a gap of 0.8 points heading into this gameweek. Form supports that picture: Pedro Porro 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 62. 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; Pedro Porro has 1 goals and 3 assists. Ownership sits at 24% for Marc Guéhi 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 2.8 expected points for Marc Guéhi.

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Priced at £6.5m and £5.5m, there is a £1.0m differential between these two DEFs. On a pure value basis, Nico O'Reilly generates more points per million this season. Nico O'Reilly at 24.6 against Pedro Porro at 21.3. The Gameweek 1 expected points model gives Nico O'Reilly the edge at 3.1 projected points. With ownership at 22.9% 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 Cunha at 2.8 for Gameweek 1, against 2.6 for Morgan Rogers, a gap of 0.2 points heading into this gameweek. Form supports that picture: Cunha 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, Gabriel leads on total points and the gap stands at 34. On attacking output, Gabriel edges the combined goals and assists count with 8 direct contributions. Gabriel has 3 goals and 5 assists this season; Virgil has 6 goals and 1 assists. Ownership sits at 25.8% for Gabriel 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 4.0 expected points for Gabriel.

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Priced at £6.0m and £6.0m, there is a £0.0m differential between these two FWDs. On a pure value basis, Dominic Calvert-Lewin generates more points per million this season. Brian Brobbey at 15.3 against Dominic Calvert-Lewin at 23.7. The Gameweek 1 expected points model gives Brian Brobbey the edge at 2.0 projected points. With ownership at 21% and 20.6% 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 Virgil at 3.1 for Gameweek 1, against 1.7 for Luke Shaw, a gap of 1.4 points heading into this gameweek. Form supports that picture: Luke Shaw has averaged 0.0 points per game over the last six gameweeks, while Virgil 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 4. 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; Virgil has 6 goals and 1 assists. Ownership sits at 24% for Marc Guéhi 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 £5.5m and £4.5m, there is a £1.0m differential between these two DEFs. On a pure value basis, Luke Shaw generates more points per million this season. Riccardo Calafiori at 19.8 against Luke Shaw at 25.1. The Gameweek 1 expected points model gives Riccardo Calafiori the edge at 2.5 projected points. With ownership at 15.1% and 24.5% 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 2.2 for Neco Williams, a gap of 1.8 points heading into this gameweek. Form supports that picture: Gabriel has averaged 0.0 points per game over the last six gameweeks, while Neco Williams 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, Declan Rice leads on total points and the gap stands at 70. On attacking output, Declan Rice edges the combined goals and assists count with 13 direct contributions. Cole Palmer has 10 goals and 2 assists this season; Declan Rice has 4 goals and 9 assists. Ownership sits at 12.7% for Cole Palmer and 22.3% for Declan Rice, 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 £4.5m and £6.5m, there is a £2.0m differential between these two DEFs. On a pure value basis, Virgil generates more points per million this season. Ezri Konsa at 22.2 against Virgil at 26.9. The Gameweek 1 expected points model gives Virgil the edge at 3.1 projected points. With ownership at 17.5% 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 Cunha at 2.8 for Gameweek 1, against 2.1 for Iliman Ndiaye, a gap of 0.7 points heading into this gameweek. Form supports that picture: Cunha has averaged 0.0 points per game over the last six gameweeks, while Iliman Ndiaye 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, Iliman Ndiaye leads on total points and the gap stands at 14. On attacking output, Cole Palmer edges the combined goals and assists count with 12 direct contributions. Iliman Ndiaye has 6 goals and 3 assists this season; Cole Palmer has 10 goals and 2 assists. Ownership sits at 17.1% for Iliman Ndiaye 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 Brian Brobbey at 2.0 for Gameweek 1, against 2.0 for Igor Jesus, a gap of 0.0 points heading into this gameweek. Form supports that picture: Brian Brobbey has averaged 0.0 points per game over the last six gameweeks, while Igor Jesus 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, Beto leads on total points and the gap stands at 12. On attacking output, Beto edges the combined goals and assists count with 10 direct contributions. Beto has 9 goals and 1 assists this season; Brian Brobbey has 7 goals and 2 assists. Ownership sits at 3.3% for Beto and 21% for Brian Brobbey, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.0 expected points for Brian Brobbey.

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Priced at £6.5m and £8.0m, there is a £1.5m differential between these two FWDs. On a pure value basis, Igor Thiago generates more points per million this season. Jean-Philippe Mateta at 17.5 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 7.1% 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 Igor Thiago at 2.5 for Gameweek 1, against 2.0 for Igor Jesus, a gap of 0.5 points heading into this gameweek. Form supports that picture: Igor Jesus has averaged 0.0 points per game over the last six gameweeks, while Igor Thiago 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, Ollie Watkins leads on total points and the gap stands at 53. On attacking output, Ollie Watkins edges the combined goals and assists count with 20 direct contributions. Igor Jesus has 6 goals and 6 assists this season; Ollie Watkins has 16 goals and 4 assists. Ownership sits at 4.9% for Igor Jesus 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 2.5 expected points for Ollie Watkins.

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