VfL Wolfsburg vs Atletico Madrid: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – VfL Wolfsburg or Atletico Madrid? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
Spain 
LaLiga 
Analyse Analyse VfL Wolfsburg vs. Atletico Madrid - Who Is Better?
VfL Wolfsburg has a 1vs1 Score of 57 while Atletico Madrid has a 1vs1 Score of 79.98, showing which team is performing better this season. View VfL Wolfsburg's Position in 1vs1 Best Team Ranking | View Atletico Madrid's Position in 1vs1 Best Team Ranking
Atletico Madrid has won 735 ground duels versus 567 for VfL Wolfsburg, with Atletico Madrid ranking 6 and VfL Wolfsburg ranking 12 in the league for ground duels won. See Full Ground duels won Ranking
VfL Wolfsburg has accumulated 38.67 expected goals against while Atletico Madrid faces 25.52, with VfL Wolfsburg ranking 16 and Atletico Madrid ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 29 38 |
| Goals | 1.38 1.65 |
| Shot at goal number ⓘ Number of shots. | 237 293 |
| Shots on Goal | 148 202 |
| Goals conceeded | 40 18 |
| Goals conceeded | 1.9 0.78 |
| Matches won | 5 13 |
| Matches lost | 12 4 |
Scores
To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. Team Form
Shooting Data & xG Analysis
All VfL Wolfsburg`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| WOL | MAD | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
VfL Wolfsburg creates 5 clear goal-scoring opportunities compared to Atletico Madrid's 4 - highlighting their ability to fashion high-quality chances
Atletico Madrid records 91 shots that miss the target completely versus VfL Wolfsburg's 89 - showcasing their shooting accuracy variance
VfL Wolfsburg completes 1574 passes from the right flank while Atletico Madrid manages 2637 - exposing their right-sided distribution patterns
Compare Yourself
VfL Wolfsburg Compare VfL Wolfsburg
Search for a team Other Comparisons
VfL Wolfsburg’s and Atletico Madrid’s Total Squad Salary
Salary Stats
#1
Aaron Zehnter
0
#2
Dzenan Pejcinovic
0
#3
Mohamed Amoura
0
#4
Kamil Grabara
0
No.
Player
Value
#1
Aaron Zehnter
0
#2
Dzenan Pejcinovic
0
#3
Mohamed Amoura
0
#4
Kamil Grabara
0
#5
Vini Souza
0
#6
Kilian Fischer
0
#7
Vaclav Cerny
0
#8
Konstantinos Koulierakis
0
#9
Yannick Gerhardt
0
#10
Joakim Maehle
0
#11
Jonas Wind
0
#12
Adam Daghim
0
#13
Jesper Lindstrom
0
#14
Jenson Seelt
0
#15
Christian Eriksen
0
#16
Sael Kumbedi
0
#17
Bence Dardai
0
#18
Jan Burger
0
#19
Pharell Hensel
0
#20
Kevin Paredes
0
#21
Kento Shiogai
0
#22
Jeanuel Belocian
0
#23
Maximilian Arnold
0
#24
Andreas Skov Olsen
0
#25
Denis Vavro
0
#26
Lovro Majer
0
#27
Moritz Jenz
1
#28
Mattias Svanberg
1
#29
Patrick Wimmer
2
#1
Aaron Zehnter
0
#2
Dzenan Pejcinovic
0
#3
Mohamed Amoura
0
#4
Vini Souza
0
No.
Player
Value
#1
Aaron Zehnter
0
#2
Dzenan Pejcinovic
0
#3
Mohamed Amoura
0
#4
Vini Souza
0
#5
Kilian Fischer
0
#6
Konstantinos Koulierakis
0
#7
Adam Daghim
0
#8
Jenson Seelt
0
#9
Christian Eriksen
0
#10
Sael Kumbedi
0
#11
Bence Dardai
0
#12
Jan Burger
0
#13
Pharell Hensel
0
#14
Kevin Paredes
0
#15
Kento Shiogai
0
#16
Jeanuel Belocian
0
#17
Vaclav Cerny
2
#18
Joakim Maehle
3
#19
Jesper Lindstrom
3
#20
Andreas Skov Olsen
4
#21
Denis Vavro
5
#22
Yannick Gerhardt
6
#23
Lovro Majer
7
#24
Jonas Wind
7
#25
Maximilian Arnold
9
#26
Mattias Svanberg
12
#27
Kamil Grabara
12
#28
Patrick Wimmer
15
#29
Moritz Jenz
16
#1
Aaron Zehnter
0
#2
Dzenan Pejcinovic
0
#3
Mohamed Amoura
0
#4
Vini Souza
0
No.
Player
Value
#1
Aaron Zehnter
0
#2
Dzenan Pejcinovic
0
#3
Mohamed Amoura
0
#4
Vini Souza
0
#5
Kilian Fischer
0
#6
Vaclav Cerny
0
#7
Konstantinos Koulierakis
0
#8
Adam Daghim
0
#9
Jenson Seelt
0
#10
Christian Eriksen
0
#11
Sael Kumbedi
0
#12
Bence Dardai
0
#13
Jan Burger
0
#14
Pharell Hensel
0
#15
Kevin Paredes
0
#16
Kento Shiogai
0
#17
Jeanuel Belocian
0
#18
Denis Vavro
2
#19
Jesper Lindstrom
2
#20
Andreas Skov Olsen
6
#21
Joakim Maehle
6
#22
Jonas Wind
6
#23
Yannick Gerhardt
7
#24
Kamil Grabara
7
#25
Mattias Svanberg
8
#26
Lovro Majer
11
#27
Moritz Jenz
15
#28
Maximilian Arnold
32
#29
Patrick Wimmer
36
#1
Patrick Wimmer
1.19
#2
Mattias Svanberg
0.67
#3
Jonas Wind
0.61
#4
Lovro Majer
0.4
No.
Player
Value
#1
Patrick Wimmer
1
#2
Mattias Svanberg
1
#3
Jonas Wind
1
#4
Lovro Majer
0
#5
Moritz Jenz
0
#6
Yannick Gerhardt
0
#7
Maximilian Arnold
0
#8
Andreas Skov Olsen
0
#9
Joakim Maehle
0
#10
Jesper Lindstrom
0
#11
Vaclav Cerny
0
#12
Denis Vavro
0
#13
Aaron Zehnter
0
#14
Dzenan Pejcinovic
0
#15
Mohamed Amoura
0
#16
Kamil Grabara
0
#17
Vini Souza
0
#18
Kilian Fischer
0
#19
Konstantinos Koulierakis
0
#20
Adam Daghim
0
#21
Jenson Seelt
0
#22
Christian Eriksen
0
#23
Sael Kumbedi
0
#24
Bence Dardai
0
#25
Jan Burger
0
#26
Pharell Hensel
0
#27
Kevin Paredes
0
#28
Kento Shiogai
0
#29
Jeanuel Belocian
0
Salary Stats
#1
Giuliano Simeone
0
#2
Giacomo Raspadori
0
#3
David Hancko
0
#4
Thiago Almada
0
No.
Player
Value
#1
Giuliano Simeone
0
#2
Giacomo Raspadori
0
#3
David Hancko
0
#4
Thiago Almada
0
#5
Matteo Ruggeri
0
#6
Jan Oblak
0
#7
Johnny Cardoso
0
#8
Marcos Llorente
0
#9
Nahuel Molina
0
#10
Javi Galan
0
#11
Clement Lenglet
0
#12
Marc Pubill
0
#13
Jose Maria Gimenez
0
#14
Juan Musso
0
#15
Jano Monserrate
0
#16
Obed Vargas
0
#17
Rodrigo Mendoza
0
#18
Ademola Lookman
0
#19
Pablo Barrios
0
#20
Robin Le Normand
0
#21
Conor Gallagher
0
#22
Alex Baena
0
#23
Nico Gonzalez
0
#24
Koke
0
#25
Antoine Griezmann
1
#26
Julian Alvarez
1
#27
Alexander Sorloth
1
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
No.
Player
Value
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
#5
Marc Pubill
0
#6
Jose Maria Gimenez
0
#7
Juan Musso
0
#8
Jano Monserrate
0
#9
Obed Vargas
0
#10
Rodrigo Mendoza
0
#11
Ademola Lookman
0
#12
Jan Oblak
1
#13
Clement Lenglet
1
#14
Alex Baena
1
#15
Giacomo Raspadori
1
#16
Julian Alvarez
1
#17
Marcos Llorente
2
#18
Conor Gallagher
2
#19
Antoine Griezmann
2
#20
Javi Galan
2
#21
Robin Le Normand
2
#22
Alexander Sorloth
2
#23
Koke
3
#24
Pablo Barrios
3
#25
Nico Gonzalez
3
#26
Nahuel Molina
3
#27
Matteo Ruggeri
6
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
No.
Player
Value
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
#5
Marc Pubill
0
#6
Jose Maria Gimenez
0
#7
Jano Monserrate
0
#8
Obed Vargas
0
#9
Rodrigo Mendoza
0
#10
Jan Oblak
0
#11
Juan Musso
0
#12
Ademola Lookman
1
#13
Giacomo Raspadori
2
#14
Javi Galan
3
#15
Alexander Sorloth
3
#16
Conor Gallagher
4
#17
Robin Le Normand
5
#18
Alex Baena
8
#19
Antoine Griezmann
8
#20
Clement Lenglet
9
#21
Julian Alvarez
10
#22
Nico Gonzalez
14
#23
Nahuel Molina
15
#24
Marcos Llorente
18
#25
Koke
19
#26
Pablo Barrios
25
#27
Matteo Ruggeri
63
#1
Alexander Sorloth
0.95
#2
Nico Gonzalez
0.7
#3
Julian Alvarez
0.57
#4
Antoine Griezmann
0.47
No.
Player
Value
#1
Alexander Sorloth
1
#2
Nico Gonzalez
1
#3
Julian Alvarez
1
#4
Antoine Griezmann
0
#5
Pablo Barrios
0
#6
Marcos Llorente
0
#7
Conor Gallagher
0
#8
Giacomo Raspadori
0
#9
Alex Baena
0
#10
Koke
0
#11
Matteo Ruggeri
0
#12
Robin Le Normand
0
#13
Ademola Lookman
0
#14
Clement Lenglet
0
#15
Nahuel Molina
0
#16
Giuliano Simeone
0
#17
David Hancko
0
#18
Thiago Almada
0
#19
Jan Oblak
0
#20
Johnny Cardoso
0
#21
Javi Galan
0
#22
Marc Pubill
0
#23
Jose Maria Gimenez
0
#24
Juan Musso
0
#25
Jano Monserrate
0
#26
Obed Vargas
0
#27
Rodrigo Mendoza
0
VfL Wolfsburg: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where VfL Wolfsburg consistently performs at a high level, placing him near the top of the league.
#7
VfL Wolfsburg
0.23
#8
1.FC Heidenheim 1846
0.23
#9
Stade Rennais
0.22
#10
LOSC Lille
0.22
Average Stats
These stats show VfL Wolfsburg`s solid, reliable contributions that are in line with the majority of players in his position.
#62
VfL Wolfsburg
1683
#63
FC St. Pauli
1682
#64
FC Burnley
1663
#65
Valencia CF
1645
Weak Stats
These are the areas where VfL Wolfsburg`s performance falls below the league average.
#81
VfL Wolfsburg
484
#82
SC Freiburg
479
#83
Toulouse
477
#84
Parma Calcio 1913
471
#81
VfL Wolfsburg
1407
#82
Torino FC
1397
#83
Brest
1390
#84
Getafe
1364
Atletico Madrid: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Atletico Madrid is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Atletico Madrid consistently performs at a high level, placing him near the top of the league.
#2
Atletico Madrid
1269
#3
Bayern Munich
1184
#4
AS Roma
1143
#5
Paris Saint-Germain
1141
Average Stats
These stats show Atletico Madrid`s solid, reliable contributions that are in line with the majority of players in his position.
Performance per season
Expected Threat & Involvement Analysis
VfL Wolfsburg has an Expected Threat of 4032.34 - ranking 13 and measuring their ability to advance the ball into dangerous positions, while Atletico Madrid generates 6619.4 Expected Threat - sitting at 3, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
VfL Wolfsburg has an Expected Threat against of 619.21 - placing them 1 defensively, indicating how much dangerous ball progression they allow opponents, while Atletico Madrid concedes 318.32 Expected Threat against - ranking 18, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
VfL Wolfsburg recorded 146 Critical ball losses - ranking 5 in possession security, meaning they've given the ball away in trouble spots, while Atletico Madrid suffered 171 such losses - sitting at 8, highlighting which team is more vulnerable in possession under pressure and prone to dangerous turnovers. See Full Critical ball losses Ranking
Key Preformance Indicators
| Metric | Value |
|---|---|
| Expected Threat ⓘ Expected Threat (xT) measures how much a team’s chance of scoring changes when the ball is moved from one location on the pitch to another. The pitch is divided into zones, each with a value reflecting the probability of scoring if the ball is in that zone. Every on-ball action (pass, carry, dribble, sometimes reception) gets a value equal to the increase (or decrease) in the team’s scoring probability when the ball moves from the start zone to the end zone. Summing these changes across a match or season gives a player’s or team’s total xT contributed by their actions. | 4032.34 6619.4 |
| Expected Threat Against ⓘ Expected Threat Against (often written xTA or xT against) applies the same idea from the defensive point of view. It measures how much the opponent’s chance of scoring changes during their possessions against your team. When the opposition progresses the ball into more dangerous zones, the xTA you concede increases; when you prevent progression or force the ball back into safer areas, you reduce xTA conceded. Aggregated over time, xTA describes how much threat a team allows through opponent ball progression, and at player level it can be used to evaluate how well defenders and midfielders limit dangerous ball movement. | 619.21 318.32 |
| Critical ball losses ⓘ Number of turnovers in possession in which 4 or more teammates are removed from the game (not goal side of the ball). These ball losses are particularly serious because there are few teammates behind the ball, therefore increasing the risk of conceding a goal. | 146 171 |
| Initiate dangerous attacks ⓘ Initiating dangerous attacks with the ball, play in advanced areas, penetrating the opposition defence. A deadly pass from a midfield to a the striker, who is then free in front of the goal, bypasses a certain amount of defenders. 78% of the teams with a better result in this metric won their games. | 956 1664 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.99 1.09 |
Ratings and Scores
Compare VfL Wolfsburg & Atletico Madrid`s Performance
Performance Trends
Select a trend category to explore metrics with significant changes, stable performance, or areas of concern.
Shooting Data & xG Analysis
Advanced Stats & Analytics
Scores
| 1vs1 Index ⓘ To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, | 57 79.98 |
| 1vs1 index defensive ⓘ The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. | 52.86 88.25 |
| 1vs1 Index offensive ⓘ The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc | 62.38 65.92 |
| Offensive interventions | 143.86 125.83 |
Goals & Assists
| Goals | 29 38 |
| Assists ⓘ Creating goals, playing the final pass. | 25 32 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 2 |
| Goals by head ⓘ Goals by head | 6 5 |
| Penalty goals ⓘ Penalty goals | 2 2 |
| Goals by freekick ⓘ Goals by freekick | 1 2 |
| Goals by foot | 20 25 |
| Shots on Goal | 148 202 |
| Shots on goal / Goal Ratio ⓘ Describes the ratio of shots on goal and the number of goals. The ideal value would be 100% - every shot is a goal. | 8.9 8.85 |
Goals & Shots conceded
| Goals conceeded | 40 18 |
| Goals by head conceeded | 7 3 |
| Goals by foot conceeded | 28 14 |
| Shots on goal conceeded | 213 133 |
| Goals per 90 min conceeded | 1.9 0.78 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3392 4688 |
| Progressive passes received (PrgR) ⓘ Number of successful offensive actions in which a player is found as a receiver (dribblings, passes, crosses) and opponent players have been bypassed | 2729 3728 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5753 8608 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 122 175 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 173 177 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 312 335 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 18 60 |
| Total successful passes from own box ⓘ Pass that reaches the team-mate. Here specifically: A pass FROM the ‘own box’ to another area of the field. | 819 716 |
| Total successful passes from 1st third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the area ‘1st third of the field’ to another area of the field. | 1740 2136 |
| Total successful passes from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 3778 5326 |
| Total successful passes from final third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘last third’ area to another area of the field. | 1120 2325 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 73 132 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1574 2637 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1216 1778 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2029 2458 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1304 1687 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1407 2075 |
| Initiate dangerous attacks ⓘ Initiating dangerous attacks with the ball, play in advanced areas, penetrating the opposition defence. A deadly pass from a midfield to a the striker, who is then free in front of the goal, bypasses a certain amount of defenders. 78% of the teams with a better result in this metric won their games. | 956 1664 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 89.93 92.63 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 58.94 77.09 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.91 86.12 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 34.62 54.05 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 40.14 46.21 |
| Succesful passes in % from own box ⓘ Pass that reaches the team-mate. Here specifically: A pass FROM the ‘own box’ to another area of the field. | 62.61 69.05 |
| Succesful passes in % from 1st third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the area ‘1st third of the field’ to another area of the field. | 74.23 83.83 |
| Succesful passes in % from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 82.8 87.14 |
| Succesful passes in % from final third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘last third’ area to another area of the field. | 71.38 80.09 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 49.66 48.18 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 72.3 80.4 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 79.51 83.68 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 74.43 83.01 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.17 83.51 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 75.56 82.74 |
Ball contacts & phases of play
| Offensive touches in phase Ball possession ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch. In this case in the phase of ball possession of own team. | 5298 7685 |
| Offensive touches in phase Attacking Transition ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch. In this case in the phase "attacking transition". | 1488 2037 |
| Offensive touches in phase Set Pieces ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch. In this case in the opponents box. | 350 510 |
| Offensive touches in phase Second Balls ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch. In this case in the phase "second ball" | 840 914 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1094 1010 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 750 795 |
| Defensive touches in phase Set Pieces ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. Hier nach einer Standard Aktion. | 557 512 |
| Defensive touches in phase Second ball ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case after a "second ball". | 647 603 |
| Total touches in phase Set Pieces | 907 1022 |
| Total touches in phase Second ball | 1487 1517 |
Ball losses
| Critical ball losses ⓘ Number of turnovers in possession in which 4 or more teammates are removed from the game (not goal side of the ball). These ball losses are particularly serious because there are few teammates behind the ball, therefore increasing the risk of conceding a goal. | 146 171 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 644 685 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 85 52 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 258 206 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 545 443 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 47 54 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 34 51 |
| Ball losses in own box ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the area ‘own penalty area’ | 489 321 |
| Ball losses in first third ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘first third of the pitch’ area | 604 412 |
| Ball losses in second third ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘centre third of the pitch’ area | 785 786 |
| Ball losses in final third ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the space ‘last third of the pitch’ | 449 578 |
| Ball losses in opponent box ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the area ‘opponent's box’ | 74 142 |
| Ball losses total | 2401 2239 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3021 2894 |
| Ball regains in own box ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here own box | 295 168 |
| Ball regains frist third of pitch ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here frist third of pitch | 865 775 |
| Ball regains second third of pitch ⓘ Number of offensive ball recoveries. Here specifically: IN which area was the pass intercepted that was played by the opponent -> here middle third | 1063 1089 |
| Ball regains in final third of pitch ⓘ Number of offensive ball recoveries. Here specifically: IN which area was the pass intercepted that was played by the opponent -> here last third | 327 428 |
| Ball regains in opponents box ⓘ Number of offensive ball recoveries. Here specifically: IN which area was the pass intercepted that was played by the opponent -> here the opponent's box | 59 86 |
Defensive
| Ground duels won ⓘ Won ground duel. | 567 735 |
| Ground duels lost ⓘ Lost ground duel. | 591 756 |
| Ariel duels won ⓘ Won aerial duel. | 278 328 |
| Ariel duels lost ⓘ Lost aerial duel. | 306 277 |
| Interception ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case an interception. | 630 653 |
| Ground duel ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case a ground duel. | 329 343 |
| Header defensive ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case a defensive header. | 773 626 |
| Block ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case a blocked ball. | 406 360 |
| Tackles | 1158 1491 |
| Clearances by foot | 484 418 |
| Ground duels total | 1158 1491 |
| Ground duels won % | 48.96 49.3 |
| Ground duels lost % | 51.04 50.7 |
| Ariel duels total | 584 605 |
| Ariel duels won % | 47.6 54.21 |
| Ariel duels lost % | 52.4 45.79 |
| Defensive stability ⓘ The ability to defend well | 549.1 639.5 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 482 801 |
| Succesful dribbles | 5843 8786 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 406 377 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 818 1036 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1480 2114 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 484 955 |
| Number of offensive actions in 1st part of pitch ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically IN which space this pass or dribble was played -> 1st third of the pitch | 561 676 |
| Number of offensive actions in 2nd part of pitch ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically IN which space this pass or dribble was played -> middle third of the pitch | 1580 2108 |
| Number of offensive actions in 3rd part of pitch ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically IN which space this pass or dribble was played -> final third of the pitch | 757 1296 |
| Number of offensive actions into the opponent's box ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically IN which space this pass or dribble was played -> into the box | 199 368 |
| Number of offensive actions from the right wing ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically OUT of which space this pass or dribble was played -> right wing side of the pitch | 757 1269 |
| Number of offensive actions from half-right ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically OUT of which space this pass or dribble was played -> right half space of the pitch | 458 718 |
| Number of offensive actions from the centre ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically OUT of which space this pass or dribble was played -> center lane of the pitch | 761 919 |
| Number of offensive actions from half-left ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically OUT of which space this pass or dribble was played -> left half space of the pitch | 529 677 |
| Number of offensive actions from the left wing ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically OUT of which space this pass or dribble was played -> left wing of the pitch | 724 961 |
| Number of offensive receptions in 1st part of pitch ⓘ Number of successful offensive actions in which a player is found as a receiver in the first third of the pitch and opponent players have been bypassed | 458 569 |
| Number of offensive receptions in 2nd part of pitch ⓘ Number of successful offensive actions in which a player is found as a receiver in the middle third of the pitch and opponent players have been bypassed | 1381 1768 |
| Number of offensive receptions in 3rd part of pitch ⓘ Number of successful offensive actions in which a player is found as a receiver in the last third of the pitch and opponent players have been bypassed | 618 1014 |
| Number of offensive receptions in opponent's box ⓘ Number of successful offensive actions in which a player is found as a receiver in the opponents box and opponent players have been bypassed | 168 306 |
xG
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 28.57 36.98 |
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 28.57 36.98 |
| Xg long distance ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a long range shot (more than 22 Meters) | 1.58 1.48 |
| Xg with head ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a header. | 5.26 7.12 |
| Xg with penalites ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a penalty | 1.56 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.99 1.09 |
| Open play Xg ⓘ Open play Xg value | 26.49 34.19 |
| Set piece Xg ⓘ Set piece Xg | 2.01 2.79 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.13 |
| Xg with foot ⓘ Xg with foot | 21.22 27.07 |
| xG over/under ⓘ Goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.43 -2.98 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.74 -2.12 |
| Non-penalty xG (npxG) ⓘ Penalty goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 27.01 34.64 |
| Goals minus Xg free-kick ⓘ Free kick goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.55 1.55 |
| Goals minus Xg long distance shot ⓘ Long distance goals (more than 22 meters) minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -1.58 0.52 |
| Goals minus Xg short distance shot ⓘ Short distance goals (less than 10 meters)minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.48 -1.16 |
Comments (0)