FPL Head-to-Head Picks for Gameweek 1

Across the season, Erling Haaland leads on total points and the gap stands at 62. 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; João Pedro has 15 goals and 9 assists. Ownership sits at 75% for Erling Haaland 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 4.0 expected points for Erling Haaland.

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Priced at £15.5m and £6.5m, there is a £9.0m differential between these two FWDs. On a pure value basis, Jean-Philippe Mateta generates more points per million this season. Erling Haaland at 15.4 against Jean-Philippe Mateta at 17.5. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 75% and 7.1% 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 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 £7.5m and £7.5m, there is a £0.0m differential between these two FWDs. On a pure value basis, João Pedro generates more points per million this season. Viktor Gyökeres at 17.1 against João Pedro at 23.6. The Gameweek 1 expected points model gives Viktor Gyökeres the edge at 2.3 projected points. With ownership at 13.1% 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 2.1 for Enzo Le Fée, a gap of 1.9 points heading into this gameweek. Form supports that picture: Bruno Fernandes has averaged 0.0 points per game over the last six gameweeks, while Enzo Le Fée 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 73. On attacking output, João Pedro edges the combined goals and assists count with 24 direct contributions. Beto has 9 goals and 1 assists this season; João Pedro has 15 goals and 9 assists. Ownership sits at 3.3% for Beto 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 £7.5m and £7.5m, there is a £0.0m differential between these two MIDs. On a pure value basis, Declan Rice generates more points per million this season. Declan Rice at 24.5 against Morgan Rogers at 22.5. The Gameweek 1 expected points model gives Declan Rice the edge at 2.6 projected points. With ownership at 22.3% and 30.9% 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 Antoine Semenyo at 2.9 for Gameweek 1, against 2.6 for Morgan Rogers, a gap of 0.3 points heading into this gameweek. Form supports that picture: Morgan Rogers has averaged 0.0 points per game over the last six gameweeks, while Antoine Semenyo 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 66. 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; Luke Shaw has 1 goals and 1 assists. Ownership sits at 24% for Marc Guéhi and 24.5% for Luke Shaw, 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 £6.0m and £7.5m, there is a £1.5m differential between these two MIDs. On a pure value basis, Morgan Rogers generates more points per million this season. Iliman Ndiaye at 21.3 against Morgan Rogers at 22.5. The Gameweek 1 expected points model gives Morgan Rogers the edge at 2.6 projected points. With ownership at 17.1% and 30.9% 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 Ezri Konsa at 1.7 for Gameweek 1, against 1.7 for Luke Shaw, a gap of 0.0 points heading into this gameweek. Form supports that picture: Ezri Konsa 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, 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 £5.5m and £8.0m, there is a £2.5m differential between these two DEFs. On a pure value basis, Gabriel generates more points per million this season. Riccardo Calafiori at 19.8 against Gabriel at 26.1. The Gameweek 1 expected points model gives Gabriel the edge at 4.0 projected points. With ownership at 15.1% and 25.8% 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 Virgil at 3.1 for Gameweek 1, against 2.5 for Pedro Porro, a gap of 0.6 points heading into this gameweek. Form supports that picture: Pedro Porro 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, Luke Shaw leads on total points and the gap stands at 4. 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; Luke Shaw has 1 goals and 1 assists. Ownership sits at 15.1% for Riccardo Calafiori and 24.5% for Luke Shaw, 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 £5.0m and £5.5m, there is a £0.5m differential between these two DEFs. On a pure value basis, Neco Williams generates more points per million this season. Neco Williams at 25.6 against Pedro Porro at 21.3. The Gameweek 1 expected points model gives Pedro Porro the edge at 2.5 projected points. With ownership at 13.3% 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 Maxence Lacroix 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: Maxence Lacroix 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, Igor Thiago leads on total points and the gap stands at 39. On attacking output, Igor Thiago edges the combined goals and assists count with 23 direct contributions. Dominic Calvert-Lewin has 14 goals and 2 assists this season; Igor Thiago has 22 goals and 1 assists. Ownership sits at 20.6% for Dominic Calvert-Lewin 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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Priced at £6.0m and £8.5m, there is a £2.5m 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 Antoine Semenyo at 23.8. The Gameweek 1 expected points model gives Antoine Semenyo the edge at 2.9 projected points. With ownership at 12.2% and 21.9% 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 Viktor Gyökeres at 2.3 for Gameweek 1, against 2.0 for Dominic Calvert-Lewin, a gap of 0.3 points heading into this gameweek. Form supports that picture: Dominic Calvert-Lewin 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, Virgil leads on total points and the gap stands at 75. On attacking output, Virgil edges the combined goals and assists count with 7 direct contributions. Ezri Konsa has 0 goals and 1 assists this season; Virgil has 6 goals and 1 assists. Ownership sits at 17.5% for Ezri Konsa 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, Ezri Konsa generates more points per million this season. Riccardo Calafiori at 19.8 against Ezri Konsa at 22.2. The Gameweek 1 expected points model gives Riccardo Calafiori the edge at 2.5 projected points. With ownership at 15.1% and 17.5% 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 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, Ollie Watkins leads on total points and the gap stands at 63. On attacking output, Ollie Watkins edges the combined goals and assists count with 20 direct contributions. Beto has 9 goals and 1 assists this season; Ollie Watkins has 16 goals and 4 assists. Ownership sits at 3.3% for Beto 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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