We check how each player performs compared to the top 10% average by using percentages, using fbref.com data.
Higher percentages mean the player is performing closer or above the top 10% average.
For example: If a player has 125% participation in goals, it means they are 25% above the average of the top 10% with the highest goal participation.
If a player is individually skilled there should be a relation between his offensive actions and goals or danger involvement.
We're looking for the players with the highest goal-action relation.
THOSE TRULY DECISIVE DUE TO THEIR INDIVIDUAL SKILL
140%
136%
127%
121%
105%
Higher number of goals (excluding penalties) scored per match compared to the top 10% of top attackers.
| Player | Goal Scoring | |
| Erling Haaland Manchester City | 159% |
| Kylian Mbappé Paris S-G | 121% |
 | Victor Osimhen Napoli | 117% |
| Lionel Messi Paris S-G | 113% |
 | Karim Benzema Real Madrid | 108% |
 | Antoine Griezmann Atlético Madrid | 108% |
| Robert Lewandowski Barcelona | 106% |
 | Lautaro Martínez Inter | 104% |
| Jamal Musiala Bayern Munich | 100% |
Higher number of individual actions per match directly contributing to goals compared to the top 10% of top attackers.
| Player | Goal Creation | |
| Lionel Messi Paris S-G | 146% |
 | Kevin De Bruyne Manchester City | 143% |
| Jamal Musiala Bayern Munich | 138% |
Higher number of passes per match directly contributing to goals compared to the top 10% of top attackers.
| Player | Pases | |
| Kevin De Bruyne Manchester City | 159% |
| Lionel Messi Paris S-G | 154% |
| Jamal Musiala Bayern Munich | 132% |
| Antoine Griezmann Atlético Madrid | 102% |
 | Bukayo Saka Arsenal | 102% |
Greater number of offensive duels per match directly impacting goals compared to the top 10% of top attackers.
| Player | Take Ons | |
 | Randal Kolo Muani Eint Frankfurt | 88% |
| Kylian Mbappé Paris S-G | 81% |
 | Vinicius Júnior Real Madrid | 81% |
| Jamal Musiala Bayern Munich | 75% |
Higher number of shot per match with a direct impact on goals, including not only scoring but goals resulting from the shot, compared to the top 10% of top attackers.
| Player | Shots | |
| Kylian Mbappé Paris S-G | 148% |
| Erling Haaland Manchester City | 145% |
| Robert Lewandowski Barcelona | 133% |
| Victor Osimhen Napoli | 131% |
| Lautaro Martínez Inter | 119% |
 | Harry Kane Tottenham | 110% |
Higher number of goals scored versus expected goals, indicating superior efficiency in capitalizing on goal-scoring opportunities, compared to the top 10% of top attackers.
| Player | Definición | |
| Harry Kane Tottenham | 110% |
| Erling Haaland Manchester City | 95% |
| Victor Osimhen Napoli | 90% |
Higher percentage of individual duels won compared to the top 10% of top attackers.
| Player | 1 vs 1 | |
 | Martin Ødegaard Arsenal | 79% |
 | Jude Bellingham Dortmund | 78% |
| Antoine Griezmann Atlético Madrid | 77% |
| Lionel Messi Paris S-G | 76% |
 | Julián Álvarez Manchester City | 75% |
| Kevin De Bruyne Manchester City | 72% |
Greater overall goal impact, both in scoring and creating, compared to the top 10% of top attackers.
| Player | Direct Goal Impact | |
| Erling Haaland Manchester City | 140% |
| Kylian Mbappé Paris S-G | 136% |
| Lionel Messi Paris S-G | 127% |
| Jamal Musiala Bayern Munich | 121% |
| Robert Lewandowski Barcelona | 105% |
| Kevin De Bruyne Manchester City | 104% |
| Harry Kane Tottenham | 100% |
113%
87%
80%
69%
65%
Most defensive skills are related to any of this actions: Defensive Duels, Interceptions and Blocks.
Next are the best performers for each action.
| Player | 1 vs 1 | |
| Kim Min-jae Napoli | 113% |
| Jude Bellingham Dortmund | 87% |
| Rúben Dias Manchester City | 80% |
| Nicolò Barella Inter | 69% |
| Rodri Manchester City | 65% |
| Player | Intercepciones | |
 | Joško Gvardiol RB Leipzig | 66% |
| Kim Min-jae Napoli | 56% |
| Jude Bellingham Dortmund | 54% |
| Player | Bloqueo pases | |
| Jude Bellingham Dortmund | 94% |
| Jamal Musiala Bayern Munich | 66% |
| Kevin De Bruyne Manchester City | 56% |
| Nicolò Barella Inter | 50% |
| Player | Bloqueo Shots | |
| Kim Min-jae Napoli | 67% |
| Joško Gvardiol RB Leipzig | 62% |
| Rúben Dias Manchester City | 51% |
72%
70%
67%
We can evaluate the goal keeper performance based on these actions: xG Shots against, Shots against by game, Save Rate
xG by Shots against: xG value is the probability of the current shot to be scored.
| Player | xG Against | |
| Yassine Bounou Sevilla | 103% |
| Emiliano Martínez Aston Villa | 73% |
| André Onana Inter | 64% |
| Player | Shots against | |
| Yassine Bounou Sevilla | 77% |
| Emiliano Martínez Aston Villa | 66% |
| André Onana Inter | 60% |
Save Rate: Rate for successful attempt from the goalkeeper to prevent a shot from being scored.
| Player | Save % | |
| Emiliano Martínez Aston Villa | 92% |
| André Onana Inter | 91% |
| Yassine Bounou Sevilla | 78% |
High goal chance saves: A higher value indicates a better performance of the goalkeeper in terms of stopping shots with a high probability of being scored.
| Player | Salvada Gol | |
| Yassine Bounou Sevilla | 72% |
| Emiliano Martínez Aston Villa | 70% |
| André Onana Inter | 67% |
