

Across the season, Erling Haaland leads on total points and the gap stands at 111. On attacking output, Erling Haaland edges the combined goals and assists count with 35 direct contributions. Viktor Gyökeres has 14 goals and 1 assists this season; Erling Haaland has 27 goals and 8 assists. Ownership sits at 13.1% for Viktor Gyökeres 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 £15.5m and £8.0m, there is a £7.5m differential between these two FWDs. On a pure value basis, Ollie Watkins generates more points per million this season. Erling Haaland at 15.4 against Ollie Watkins at 20.9. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 75% and 12.3% 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 2.9 for Antoine Semenyo, a gap of 1.1 points heading into this gameweek. Form supports that picture: Bruno Fernandes 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.
|
Across the season, João Pedro leads on total points and the gap stands at 10. On attacking output, João Pedro edges the combined goals and assists count with 24 direct contributions. João Pedro has 15 goals and 9 assists this season; Ollie Watkins has 16 goals and 4 assists. Ownership sits at 54.7% for João Pedro 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.
|


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 Bryan Mbeumo at 18.5. The Gameweek 1 expected points model gives Bruno Fernandes the edge at 4.0 projected points. With ownership at 48.6% 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 Dominik Szoboszlai at 2.5 for Gameweek 1, against 2.1 for Iliman Ndiaye, a gap of 0.4 points heading into this gameweek. Form supports that picture: Iliman Ndiaye 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.
|


Across the season, Dominik Szoboszlai leads on total points and the gap stands at 12. On attacking output, Bryan Mbeumo edges the combined goals and assists count with 14 direct contributions. Bryan Mbeumo has 11 goals and 3 assists this season; Dominik Szoboszlai has 6 goals and 7 assists. Ownership sits at 16.4% for Bryan Mbeumo 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 2.8 expected points for Bryan Mbeumo.
|
Priced at £8.0m and £7.5m, there is a £0.5m differential between these two MIDs. On a pure value basis, Morgan Rogers generates more points per million this season. Bryan Mbeumo at 18.5 against Morgan Rogers at 22.5. The Gameweek 1 expected points model gives Bryan Mbeumo the edge at 2.8 projected points. With ownership at 16.4% 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 2.5 for Pedro Porro, a gap of 0.6 points heading into this gameweek. Form supports that picture: Nico O'Reilly 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.
|
Across the season, Pedro Porro leads on total points and the gap stands at 17. On attacking output, Pedro Porro edges the combined goals and assists count with 4 direct contributions. Ezri Konsa has 0 goals and 1 assists this season; Pedro Porro has 1 goals and 3 assists. Ownership sits at 17.5% for Ezri Konsa 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 2.5 expected points for Pedro Porro.
|
Priced at £5.5m and £6.5m, there is a £1.0m differential between these two DEFs. On a pure value basis, Virgil generates more points per million this season. Pedro Porro at 21.3 against Virgil at 26.9. The Gameweek 1 expected points model gives Virgil the edge at 3.1 projected points. With ownership at 23.9% 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.
|
The expected points model has Riccardo Calafiori 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: Riccardo Calafiori 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.
|
Across the season, Declan Rice leads on total points and the gap stands at 56. On attacking output, Declan Rice edges the combined goals and assists count with 13 direct contributions. Iliman Ndiaye has 6 goals and 3 assists this season; Declan Rice has 4 goals and 9 assists. Ownership sits at 17.1% for Iliman Ndiaye 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 2.6 expected points for Declan Rice.
|


Priced at £6.0m and £8.5m, there is a £2.5m differential between these two MIDs. On a pure value basis, Antoine Semenyo generates more points per million this season. Iliman Ndiaye at 21.3 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 17.1% 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 Cunha at 2.8 for Gameweek 1, against 2.6 for Declan Rice, 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 Declan Rice 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, Maxence Lacroix leads on total points and the gap stands at 41. On attacking output, Maxence Lacroix edges the combined goals and assists count with 3 direct contributions. Maxence Lacroix has 1 goals and 2 assists this season; Luke Shaw has 1 goals and 1 assists. Ownership sits at 12% for Maxence Lacroix 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 Maxence Lacroix.
|
Priced at £6.0m and £6.0m, there is a £0.0m 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 Maxence Lacroix at 25.7. The Gameweek 1 expected points model gives Marc Guéhi the edge at 2.8 projected points. With ownership at 24% 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 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.
|
Across the season, Bryan Mbeumo leads on total points and the gap stands at 20. On attacking output, Bryan Mbeumo edges the combined goals and assists count with 14 direct contributions. Bryan Mbeumo has 11 goals and 3 assists this season; Iliman Ndiaye has 6 goals and 3 assists. Ownership sits at 16.4% for Bryan Mbeumo and 17.1% for Iliman Ndiaye, 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.
|
Priced at £5.0m and £6.5m, there is a £1.5m differential between these two DEFs. On a pure value basis, Virgil generates more points per million this season. Neco Williams at 25.6 against Virgil at 26.9. The Gameweek 1 expected points model gives Virgil the edge at 3.1 projected points. With ownership at 13.3% 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.
|


The expected points model has Riccardo Calafiori 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: Riccardo Calafiori 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, Dominic Calvert-Lewin leads on total points and the gap stands at 28. On attacking output, Dominic Calvert-Lewin edges the combined goals and assists count with 16 direct contributions. Dominic Calvert-Lewin has 14 goals and 2 assists this season; Jean-Philippe Mateta has 12 goals and 0 assists. Ownership sits at 20.6% for Dominic Calvert-Lewin 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.
|
Priced at £8.0m and £6.0m, there is a £2.0m differential between these two MIDs. On a pure value basis, Enzo Le Fée generates more points per million this season. Cunha at 17.9 against Enzo Le Fée at 24.5. The Gameweek 1 expected points model gives Cunha the edge at 2.8 projected points. With ownership at 14.6% and 12.2% 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 Enzo Le Fée, a gap of 1.1 points heading into this gameweek. Form supports that picture: Enzo Le Fée 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, Dominic Calvert-Lewin leads on total points and the gap stands at 38. On attacking output, Dominic Calvert-Lewin edges the combined goals and assists count with 16 direct contributions. Beto has 9 goals and 1 assists this season; Dominic Calvert-Lewin has 14 goals and 2 assists. Ownership sits at 3.3% for Beto and 20.6% for Dominic Calvert-Lewin, 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 Dominic Calvert-Lewin.
|
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











