

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.
|


Priced at £6.0m and £7.5m, there is a £1.5m differential between these two FWDs. On a pure value basis, Dominic Calvert-Lewin generates more points per million this season. Dominic Calvert-Lewin at 23.7 against João Pedro at 23.6. The Gameweek 1 expected points model gives João Pedro the edge at 2.3 projected points. With ownership at 20.6% 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.
|


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.
|


Across the season, Dominik Szoboszlai leads on total points and the gap stands at 13. On attacking output, Dominik Szoboszlai edges the combined goals and assists count with 13 direct contributions. Enzo Le Fée has 5 goals and 6 assists this season; Dominik Szoboszlai has 6 goals and 7 assists. Ownership sits at 12.2% for Enzo Le Fée and 47.8% for Dominik Szoboszlai, 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 Dominik Szoboszlai.
|
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.
|
The expected points model has Nico O'Reilly at 3.1 for Gameweek 1, against 2.8 for Marc Guéhi, 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 Nico O'Reilly 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.
|
Across the season, Morgan Rogers leads on total points and the gap stands at 55. On attacking output, Morgan Rogers edges the combined goals and assists count with 18 direct contributions. Cole Palmer has 10 goals and 2 assists this season; Morgan Rogers has 10 goals and 8 assists. Ownership sits at 12.7% for Cole Palmer 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 3.2 expected points for Cole Palmer.
|
Priced at £4.5m and £4.5m, there is a £0.0m differential between these two DEFs. On a pure value basis, Luke Shaw generates more points per million this season. Ezri Konsa at 22.2 against Luke Shaw at 25.1. The Gameweek 1 expected points model gives Ezri Konsa the edge at 1.7 projected points. With ownership at 17.5% 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.
|
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.
|


Across the season, Marc Guéhi leads on total points and the gap stands at 70. On attacking output, Marc Guéhi edges the combined goals and assists count with 8 direct contributions. Riccardo Calafiori has 1 goals and 2 assists this season; Marc Guéhi has 3 goals and 5 assists. Ownership sits at 15.1% for Riccardo Calafiori 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 2.8 expected points for Marc Guéhi.
|
Priced at £8.0m and £8.5m, there is a £0.5m differential between these two MIDs. On a pure value basis, Antoine Semenyo generates more points per million this season. Bryan Mbeumo at 18.5 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 16.4% 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.
|
The expected points model has Marc Guéhi at 2.8 for Gameweek 1, against 2.2 for Neco Williams, a gap of 0.6 points heading into this gameweek. Form supports that picture: Marc Guéhi 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.
|
Across the season, Antoine Semenyo leads on total points and the gap stands at 88. On attacking output, Antoine Semenyo edges the combined goals and assists count with 23 direct contributions. Cole Palmer has 10 goals and 2 assists this season; Antoine Semenyo has 17 goals and 6 assists. Ownership sits at 12.7% for Cole Palmer and 21.9% for Antoine Semenyo, 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.
|


Priced at £6.0m and £7.5m, there is a £1.5m differential between these two FWDs. On a pure value basis, Viktor Gyökeres generates more points per million this season. Brian Brobbey at 15.3 against Viktor Gyökeres at 17.1. The Gameweek 1 expected points model gives Viktor Gyökeres the edge at 2.3 projected points. With ownership at 21% and 13.1% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
|
The expected points model has Virgil at 3.1 for Gameweek 1, against 1.7 for Ezri Konsa, a gap of 1.4 points heading into this gameweek. Form supports that picture: Ezri Konsa 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.
|
Across the season, Virgil leads on total points and the gap stands at 66. On attacking output, Virgil edges the combined goals and assists count with 7 direct contributions. Riccardo Calafiori has 1 goals and 2 assists this season; Virgil has 6 goals and 1 assists. Ownership sits at 15.1% for Riccardo Calafiori 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.
|
Priced at £8.0m and £8.0m, there is a £0.0m differential between these two MIDs. On a pure value basis, Bryan Mbeumo generates more points per million this season. Cunha at 17.9 against Bryan Mbeumo at 18.5. The Gameweek 1 expected points model gives Cunha the edge at 2.8 projected points. With ownership at 14.6% and 16.4% respectively, picking the right one has meaningful rank consequences. The full fixture-by-fixture comparison is on the dedicated head-to-head page.
|
The expected points model has Cole Palmer at 3.2 for Gameweek 1, against 2.1 for Iliman Ndiaye, a gap of 1.1 points heading into this gameweek. Form supports that picture: Iliman Ndiaye 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.
|
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.
|
Priced at £4.5m and £6.0m, there is a £1.5m differential between these two DEFs. On a pure value basis, Maxence Lacroix generates more points per million this season. Ezri Konsa at 22.2 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 17.5% 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.
|
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.
|
Across the season, Igor Thiago leads on total points and the gap stands at 14. On attacking output, Igor Thiago edges the combined goals and assists count with 23 direct contributions. Igor Thiago has 22 goals and 1 assists this season; Ollie Watkins has 16 goals and 4 assists. Ownership sits at 15.8% for Igor Thiago 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 Igor Thiago.
|


Priced at £6.0m and £6.5m, 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. Dominic Calvert-Lewin at 23.7 against Jean-Philippe Mateta at 17.5. The Gameweek 1 expected points model gives Jean-Philippe Mateta the edge at 2.1 projected points. With ownership at 20.6% 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.
|


The expected points model has Dominic Calvert-Lewin 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: Dominic Calvert-Lewin 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.
|
Across the season, Jean-Philippe Mateta leads on total points and the gap stands at 10. On attacking output, Jean-Philippe Mateta edges the combined goals and assists count with 12 direct contributions. Beto has 9 goals and 1 assists this season; Jean-Philippe Mateta has 12 goals and 0 assists. Ownership sits at 3.3% for Beto 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.
|
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.
Browse by Budget
ChatFPL AI
Can't split them?
ChatFPL AI analyses your actual squad, transfer budget, and rival managers to give you a personalised verdict. Try it free - no credit card required.
Try ChatFPL AI for free













