

Across the season, Erling Haaland leads on total points and the gap stands at 97. On attacking output, Erling Haaland edges the combined goals and assists count with 35 direct contributions. Dominic Calvert-Lewin has 14 goals and 2 assists this season; Erling Haaland has 27 goals and 8 assists. Ownership sits at 20.6% for Dominic Calvert-Lewin 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, Igor Thiago generates more points per million this season. Erling Haaland at 15.4 against Igor Thiago at 22.6. The Gameweek 1 expected points model gives Erling Haaland the edge at 4.0 projected points. With ownership at 75% 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.
|


The expected points model has Erling Haaland at 4.0 for Gameweek 1, against 2.1 for Jean-Philippe Mateta, a gap of 1.9 points heading into this gameweek. Form supports that picture: Erling Haaland 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.
|


Across the season, Bruno Fernandes leads on total points and the gap stands at 66. 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; Morgan Rogers has 10 goals and 8 assists. Ownership sits at 48.6% for Bruno Fernandes 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 4.0 expected points for Bruno Fernandes.
|


Priced at £12.0m and £8.5m, there is a £3.5m differential between these two MIDs. On a pure value basis, Antoine Semenyo generates more points per million this season. Bruno Fernandes at 19.6 against Antoine Semenyo at 23.8. The Gameweek 1 expected points model gives Bruno Fernandes the edge at 4.0 projected points. With ownership at 48.6% 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 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, Bruno Fernandes leads on total points and the gap stands at 92. 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; Cunha has 10 goals and 4 assists. Ownership sits at 48.6% for Bruno Fernandes and 14.6% for Cunha, 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.
|
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.
|
The expected points model has Virgil 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 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, 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.
|


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 Gabriel at 4.0 for Gameweek 1, against 2.8 for Maxence Lacroix, a gap of 1.2 points heading into this gameweek. Form supports that picture: Gabriel has averaged 0.0 points per game over the last six gameweeks, while Maxence Lacroix 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 51. 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; Neco Williams has 2 goals and 3 assists. Ownership sits at 24% for Marc Guéhi and 13.3% for Neco Williams, 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 £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.
|


The expected points model has Nico O'Reilly at 3.1 for Gameweek 1, against 2.2 for Neco Williams, a gap of 0.9 points heading into this gameweek. Form supports that picture: Neco Williams 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, 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.
|
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.
|
The expected points model has Ollie Watkins 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 Ollie Watkins 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, Neco Williams leads on total points and the gap stands at 28. On attacking output, Neco Williams edges the combined goals and assists count with 5 direct contributions. Ezri Konsa has 0 goals and 1 assists this season; Neco Williams has 2 goals and 3 assists. Ownership sits at 17.5% for Ezri Konsa and 13.3% for Neco Williams, meaning this is a decision with real rank implications across a significant slice of the field. For Gameweek 1, the model projects 2.2 expected points for Neco Williams.
|


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. Dominic Calvert-Lewin at 23.7 against Igor Jesus at 19. The Gameweek 1 expected points model gives Dominic Calvert-Lewin the edge at 2.0 projected points. With ownership at 20.6% 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.
|
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.
|


Across the season, Viktor Gyökeres leads on total points and the gap stands at 14. On attacking output, Viktor Gyökeres edges the combined goals and assists count with 15 direct contributions. Viktor Gyökeres has 14 goals and 1 assists this season; Jean-Philippe Mateta has 12 goals and 0 assists. Ownership sits at 13.1% for Viktor Gyökeres 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 2.3 expected points for Viktor Gyökeres.
|
Priced at £5.5m and £8.0m, there is a £2.5m differential between these two FWDs. On a pure value basis, Igor Thiago generates more points per million this season. Beto at 18.9 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 3.3% 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.
|
The expected points model has Viktor Gyökeres at 2.3 for Gameweek 1, against 2.0 for Igor Jesus, a gap of 0.3 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 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, Igor Jesus leads on total points and the gap stands at 10. On attacking output, Igor Jesus edges the combined goals and assists count with 12 direct contributions. Beto has 9 goals and 1 assists this season; Igor Jesus has 6 goals and 6 assists. Ownership sits at 3.3% for Beto and 4.9% for Igor Jesus, 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 Igor Jesus.
|
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











