FPL Head-to-Head Picks for Gameweek 1

Across the season, Erling Haaland leads on total points and the gap stands at 58. 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; Igor Thiago has 22 goals and 1 assists. Ownership sits at 75% for Erling Haaland 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 4.0 expected points for Erling Haaland.

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Priced at £15.5m and £6.0m, there is a £9.5m differential between these two FWDs. On a pure value basis, Igor Jesus generates more points per million this season. Erling Haaland at 15.4 against Igor Jesus at 19. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 75% 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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The expected points model has Morgan Rogers at 2.6 for Gameweek 1, against 2.5 for Dominik Szoboszlai, a gap of 0.1 points heading into this gameweek. Form supports that picture: Morgan Rogers 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 135. On attacking output, Erling Haaland edges the combined goals and assists count with 35 direct contributions. Beto has 9 goals and 1 assists this season; Erling Haaland has 27 goals and 8 assists. Ownership sits at 3.3% for Beto 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 £7.5m and £8.0m, there is a £0.5m differential between these two FWDs. On a pure value basis, João Pedro generates more points per million this season. João Pedro at 23.6 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 54.7% 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 Bruno Fernandes at 4.0 for Gameweek 1, against 2.1 for Iliman Ndiaye, 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 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, Bruno Fernandes leads on total points and the gap stands at 88. 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; Enzo Le Fée has 5 goals and 6 assists. Ownership sits at 48.6% for Bruno Fernandes and 12.3% for Enzo Le Fée, 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 £7.5m and £8.5m, there is a £1.0m differential between these two MIDs. On a pure value basis, Antoine Semenyo generates more points per million this season. Morgan Rogers at 22.5 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 30.8% and 22% 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 2.5 for Pedro Porro, a gap of 1.5 points heading into this gameweek. Form supports that picture: Gabriel 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, 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 30.8% 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 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 109. On attacking output, Gabriel edges the combined goals and assists count with 8 direct contributions. Gabriel has 3 goals and 5 assists this season; Ezri Konsa has 0 goals and 1 assists. Ownership sits at 25.8% for Gabriel 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 4.0 expected points for Gabriel.

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Priced at £6.0m and £4.5m, there is a £1.5m 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 Ezri Konsa at 22.2. The Gameweek 1 expected points model gives Marc Guéhi the edge at 2.8 projected points. With ownership at 24% 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 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 £8.0m and £7.5m, there is a £0.5m differential between these two MIDs. On a pure value basis, Declan Rice generates more points per million this season. Bryan Mbeumo at 18.5 against Declan Rice at 24.5. The Gameweek 1 expected points model gives Bryan Mbeumo the edge at 2.8 projected points. With ownership at 16.5% and 22.3% 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 Igor Thiago at 2.5 for Gameweek 1, against 2.0 for Brian Brobbey, a gap of 0.5 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 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, Maxence Lacroix leads on total points and the gap stands at 37. On attacking output, Pedro Porro edges the combined goals and assists count with 4 direct contributions. Maxence Lacroix has 1 goals and 2 assists this season; Pedro Porro has 1 goals and 3 assists. Ownership sits at 12% for Maxence Lacroix 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 Maxence Lacroix.

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Priced at £4.5m and £5.0m, there is a £0.5m differential between these two DEFs. On a pure value basis, Neco Williams generates more points per million this season. Ezri Konsa at 22.2 against Neco Williams at 25.6. The Gameweek 1 expected points model gives Neco Williams the edge at 2.2 projected points. With ownership at 17.5% and 13.2% 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 Igor Thiago at 2.5 for Gameweek 1, against 2.3 for Viktor Gyökeres, a gap of 0.2 points heading into this gameweek. Form supports that picture: Viktor Gyökeres 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, Virgil leads on total points and the gap stands at 21. On attacking output, Virgil edges the combined goals and assists count with 7 direct contributions. Maxence Lacroix has 1 goals and 2 assists this season; Virgil has 6 goals and 1 assists. Ownership sits at 12% for Maxence Lacroix 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 £6.0m, there is a £0.5m differential between these two FWDs. On a pure value basis, Dominic Calvert-Lewin generates more points per million this season. Beto at 18.9 against Dominic Calvert-Lewin at 23.7. The Gameweek 1 expected points model gives Dominic Calvert-Lewin the edge at 2.0 projected points. With ownership at 3.3% and 20.8% 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 2.1 for Jean-Philippe Mateta, a gap of 0.4 points heading into this gameweek. Form supports that picture: Jean-Philippe Mateta 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, Igor Jesus leads on total points and the gap stands at 0. On attacking output, Igor Jesus edges the combined goals and assists count with 12 direct contributions. Igor Jesus has 6 goals and 6 assists this season; Jean-Philippe Mateta has 12 goals and 0 assists. Ownership sits at 4.9% for Igor Jesus 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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