Across the season, Igor Thiago leads on total points and the gap stands at 4. 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; Igor Thiago has 22 goals and 1 assists. Ownership sits at 54.7% for João Pedro 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.
|
Priced at £8.0m and £7.0m, there is a £1.0m differential between these two MIDs. On a pure value basis, Dominik Szoboszlai generates more points per million this season. Cunha at 17.9 against Dominik Szoboszlai at 22.9. The Gameweek 1 expected points model gives Cunha the edge at 2.8 projected points. With ownership at 14.6% and 47.8% 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 João Pedro at 2.3 for Gameweek 1, against 2.1 for Jean-Philippe Mateta, a gap of 0.2 points heading into this gameweek. Form supports that picture: João Pedro 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, 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 £5.5m and £7.5m, there is a £2.0m differential between these two FWDs. On a pure value basis, João Pedro generates more points per million this season. Beto at 18.9 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 3.3% 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 Gabriel at 4.0 for Gameweek 1, against 1.7 for Luke Shaw, a gap of 2.3 points heading into this gameweek. Form supports that picture: Gabriel 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, Marc Guéhi leads on total points and the gap stands at 62. 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; Pedro Porro has 1 goals and 3 assists. Ownership sits at 24% for Marc Guéhi 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 Marc Guéhi.
|
Priced at £6.5m and £4.5m, there is a £2.0m differential between these two DEFs. On a pure value basis, Luke Shaw generates more points per million this season. Nico O'Reilly at 24.6 against Luke Shaw at 25.1. The Gameweek 1 expected points model gives Nico O'Reilly the edge at 3.1 projected points. With ownership at 22.9% 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 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, 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 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.
|
Across the season, Virgil leads on total points and the gap stands at 58. On attacking output, Virgil edges the combined goals and assists count with 7 direct contributions. Pedro Porro has 1 goals and 3 assists this season; Virgil has 6 goals and 1 assists. Ownership sits at 23.9% for Pedro Porro 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 £5.5m and £4.5m, there is a £1.0m differential between these two DEFs. On a pure value basis, Luke Shaw generates more points per million this season. Riccardo Calafiori at 19.8 against Luke Shaw at 25.1. The Gameweek 1 expected points model gives Riccardo Calafiori the edge at 2.5 projected points. With ownership at 15.1% 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 Riccardo Calafiori at 2.5 for Gameweek 1, against 2.5 for Pedro Porro, a gap of 0.0 points heading into this gameweek. Form supports that picture: Riccardo Calafiori 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, Neco Williams leads on total points and the gap stands at 11. On attacking output, Neco Williams edges the combined goals and assists count with 5 direct contributions. Neco Williams has 2 goals and 3 assists this season; Pedro Porro has 1 goals and 3 assists. Ownership sits at 13.3% for Neco Williams 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 £5.0m and £6.5m, there is a £1.5m 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 Nico O'Reilly at 24.6. The Gameweek 1 expected points model gives Nico O'Reilly the edge at 3.1 projected points. With ownership at 13.3% and 22.9% 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 Maxence Lacroix at 2.8 for Gameweek 1, against 2.5 for Pedro Porro, a gap of 0.3 points heading into this gameweek. Form supports that picture: Maxence Lacroix 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, Nico O'Reilly leads on total points and the gap stands at 6. On attacking output, Nico O'Reilly edges the combined goals and assists count with 9 direct contributions. Maxence Lacroix has 1 goals and 2 assists this season; Nico O'Reilly has 5 goals and 4 assists. Ownership sits at 12% for Maxence Lacroix and 22.9% for Nico O'Reilly, 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 Nico O'Reilly.
|
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. Riccardo Calafiori at 19.8 against Virgil at 26.9. The Gameweek 1 expected points model gives Virgil the edge at 3.1 projected points. With ownership at 15.1% 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 Enzo Le Fée at 2.1 for Gameweek 1, against 2.1 for Iliman Ndiaye, a gap of 0.0 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 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, Igor Jesus leads on total points and the gap stands at 22. On attacking output, Igor Jesus edges the combined goals and assists count with 12 direct contributions. Brian Brobbey has 7 goals and 2 assists this season; Igor Jesus has 6 goals and 6 assists. Ownership sits at 21% for Brian Brobbey 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 Brian Brobbey.
|


Priced at £7.5m and £8.0m, there is a £0.5m differential between these two FWDs. On a pure value basis, Ollie Watkins generates more points per million this season. Viktor Gyökeres at 17.1 against Ollie Watkins at 20.9. The Gameweek 1 expected points model gives Ollie Watkins the edge at 2.5 projected points. With ownership at 13.1% 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 Maxence Lacroix 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: Maxence Lacroix 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, 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











