

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.
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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 Ollie Watkins at 20.9. The Gameweek 1 expected points model gives Ollie Watkins the edge at 2.5 projected points. With ownership at 54.7% 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.
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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, Dominik Szoboszlai leads on total points and the gap stands at 17. On attacking output, Cunha edges the combined goals and assists count with 14 direct contributions. Cunha has 10 goals and 4 assists this season; Dominik Szoboszlai has 6 goals and 7 assists. Ownership sits at 14.6% for Cunha 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 Cunha.
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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 Luke Shaw at 25.1. The Gameweek 1 expected points model gives Marc Guéhi the edge at 2.8 projected points. With ownership at 24% 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.
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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.
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Across the season, Antoine Semenyo leads on total points and the gap stands at 18. On attacking output, Antoine Semenyo edges the combined goals and assists count with 23 direct contributions. Declan Rice has 4 goals and 9 assists this season; Antoine Semenyo has 17 goals and 6 assists. Ownership sits at 22.3% for Declan Rice 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 2.9 expected points for Antoine Semenyo.
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Priced at £9.5m and £7.5m, there is a £2.0m differential between these two MIDs. On a pure value basis, Morgan Rogers generates more points per million this season. Cole Palmer at 12 against Morgan Rogers at 22.5. The Gameweek 1 expected points model gives Cole Palmer the edge at 3.2 projected points. With ownership at 12.7% 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.
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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 £5.5m and £5.5m, there is a £0.0m differential between these two DEFs. On a pure value basis, Pedro Porro generates more points per million this season. Riccardo Calafiori at 19.8 against Pedro Porro at 21.3. The Gameweek 1 expected points model gives Riccardo Calafiori the edge at 2.5 projected points. With ownership at 15.1% 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.
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The expected points model has Antoine Semenyo at 2.9 for Gameweek 1, against 2.8 for Bryan Mbeumo, a gap of 0.1 points heading into this gameweek. Form supports that picture: Bryan Mbeumo 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.
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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.
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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. Cunha at 17.9 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 14.6% 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.
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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.
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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.
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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, Igor Thiago generates more points per million this season. Viktor Gyökeres at 17.1 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 13.1% 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 Jean-Philippe Mateta at 2.1 for Gameweek 1, against 2.0 for Dominic Calvert-Lewin, a gap of 0.1 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 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.
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Across the season, Igor Thiago leads on total points and the gap stands at 67. On attacking output, Igor Thiago edges the combined goals and assists count with 23 direct contributions. Jean-Philippe Mateta has 12 goals and 0 assists this season; Igor Thiago has 22 goals and 1 assists. Ownership sits at 7.1% for Jean-Philippe Mateta 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.
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Priced at £7.5m and £6.5m, there is a £1.0m differential between these two FWDs. On a pure value basis, Jean-Philippe Mateta generates more points per million this season. Viktor Gyökeres at 17.1 against Jean-Philippe Mateta at 17.5. The Gameweek 1 expected points model gives Viktor Gyökeres the edge at 2.3 projected points. With ownership at 13.1% 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.
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The expected points model has Igor Thiago at 2.5 for Gameweek 1, against 1.8 for Beto, a gap of 0.7 points heading into this gameweek. Form supports that picture: Beto 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, Ollie Watkins leads on total points and the gap stands at 53. On attacking output, Ollie Watkins edges the combined goals and assists count with 20 direct contributions. Igor Jesus has 6 goals and 6 assists this season; Ollie Watkins has 16 goals and 4 assists. Ownership sits at 4.9% for Igor Jesus 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.
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Priced at £5.5m and £8.0m, there is a £2.5m differential between these two FWDs. On a pure value basis, Ollie Watkins generates more points per million this season. Beto at 18.9 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 3.3% 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.
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The expected points model has Jean-Philippe Mateta at 2.1 for Gameweek 1, against 2.0 for Igor Jesus, a gap of 0.1 points heading into this gameweek. Form supports that picture: Igor Jesus 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.
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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.
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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.
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