VfL Wolfsburg vs Arsenal FC: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – VfL Wolfsburg or Arsenal FC? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
VfL Wolfsburg vs. Arsenal FC - Who Is Better?
VfL Wolfsburg has created 89 scoring opportunities compared to Arsenal FC's 170, with VfL Wolfsburg ranking 14 and Arsenal FC ranking 4 in the league for chances created. See Full Chances created Ranking
Arsenal FC has conceded 14 goals versus VfL Wolfsburg's 33, with Arsenal FC ranking 1 and VfL Wolfsburg ranking 15 in the league for goals conceded. See Full Goals conceeded Ranking
VfL Wolfsburg has kept 2 clean sheets while Arsenal FC has achieved 10 shutouts, with VfL Wolfsburg ranking 15 and Arsenal FC ranking 1 in the league for clean sheets. See Full Clean sheets Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals | 26 40 |
| Goals | 1.53 1.9 |
| Shot at goal number ⓘ Number of shots. | 191 304 |
| Shots on Goal | 124 214 |
| Goals conceeded | 33 14 |
| Goals conceeded | 1.94 0.67 |
| Matches won | 5 15 |
| Matches lost | 9 2 |
Scores
Team Form
Shooting Data & xG Analysis
All VfL Wolfsburg`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| WOL | ARS | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
VfL Wolfsburg registers 920 defensive touches when not in possession versus Arsenal FC's 805 - showcasing their defensive engagement levels
Arsenal FC scores 6 goals from close range compared to VfL Wolfsburg's 5 - illustrating their penalty box finishing prowess
VfL Wolfsburg wins 46.44% of aerial duels (215 won, 269 lost) while Arsenal FC secures 50.73% (277 won, 269 lost) - demonstrating their aerial contest outcomes
Compare Yourself
Compare VfL Wolfsburg
Other Comparisons
VfL Wolfsburg’s and Arsenal FC’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
Moritz Jenz
0
#6
Vini Souza
0
#7
Kilian Fischer
0
#8
Vaclav Cerny
0
#9
Konstantinos Koulierakis
0
#10
Yannick Gerhardt
0
#11
Joakim Maehle
0
#12
Jonas Wind
0
#13
Adam Daghim
0
#14
Jesper Lindstrom
0
#15
Jenson Seelt
0
#16
Christian Eriksen
0
#17
Sael Kumbedi
0
#18
Bence Dardai
0
#19
Jan Burger
0
#20
Pharell Hensel
0
#21
Kevin Paredes
0
#22
Maximilian Arnold
0
#23
Andreas Skov Olsen
0
#24
Denis Vavro
0
#25
Lovro Majer
0
#26
Mattias Svanberg
1
#27
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
Jesper Lindstrom
1
#16
Vaclav Cerny
2
#17
Joakim Maehle
3
#18
Denis Vavro
3
#19
Andreas Skov Olsen
4
#20
Yannick Gerhardt
4
#21
Lovro Majer
5
#22
Jonas Wind
7
#23
Maximilian Arnold
8
#24
Kamil Grabara
10
#25
Mattias Svanberg
11
#26
Patrick Wimmer
12
#27
Moritz Jenz
13
#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
Denis Vavro
0
#15
Pharell Hensel
0
#16
Kevin Paredes
0
#17
Jesper Lindstrom
0
#18
Yannick Gerhardt
4
#19
Andreas Skov Olsen
6
#20
Joakim Maehle
6
#21
Kamil Grabara
6
#22
Jonas Wind
6
#23
Mattias Svanberg
8
#24
Lovro Majer
10
#25
Moritz Jenz
11
#26
Maximilian Arnold
25
#27
Patrick Wimmer
28
#1
Patrick Wimmer
1.07
#2
Mattias Svanberg
0.67
#3
Jonas Wind
0.61
#4
Lovro Majer
0.34
No.
Player
Value
#1
Patrick Wimmer
1
#2
Mattias Svanberg
1
#3
Jonas Wind
1
#4
Lovro Majer
0
#5
Moritz Jenz
0
#6
Andreas Skov Olsen
0
#7
Yannick Gerhardt
0
#8
Joakim Maehle
0
#9
Maximilian Arnold
0
#10
Vaclav Cerny
0
#11
Denis Vavro
0
#12
Jesper Lindstrom
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
Salary Stats
#1
Myles Lewis-Skelly
0
No.
Player
Value
#1
Myles Lewis-Skelly
0
#2
Kai Havertz
0
#3
Martin Odegaard
0
#4
Ben White
0
#5
David Raya
0
#6
William Saliba
0
#7
Noni Madueke
0
#8
Cristhian Mosquera
0
#9
Ethan Nwaneri
0
#10
Max Dowman
0
#11
Christian Norgaard
0
#12
Piero Hincapie
0
#13
Gabriel Jesus
0
#14
Gabriel Martinelli
0
#15
Riccardo Calafiori
0
#16
Declan Rice
0
#17
Gabriel Magalhaes
0
#18
Bukayo Saka
0
#19
Jurrien Timber
0
#20
Eberechi Eze
0
#21
Mikel Merino
0
#22
Viktor Gyokeres
0
#23
Leandro Trossard
0
#24
Martin Zubimendi
1
#1
Myles Lewis-Skelly
0
#2
Kai Havertz
0
#3
Martin Odegaard
0
#4
Ethan Nwaneri
0
No.
Player
Value
#1
Myles Lewis-Skelly
0
#2
Kai Havertz
0
#3
Martin Odegaard
0
#4
Ethan Nwaneri
0
#5
Max Dowman
0
#6
Christian Norgaard
0
#7
Gabriel Jesus
0
#8
Ben White
0
#9
William Saliba
1
#10
Declan Rice
1
#11
Viktor Gyokeres
1
#12
Gabriel Martinelli
1
#13
Eberechi Eze
1
#14
Gabriel Magalhaes
1
#15
Noni Madueke
1
#16
Bukayo Saka
1
#17
Leandro Trossard
1
#18
Riccardo Calafiori
1
#19
Mikel Merino
2
#20
Piero Hincapie
2
#21
David Raya
2
#22
Jurrien Timber
2
#23
Martin Zubimendi
3
#24
Cristhian Mosquera
4
#1
Myles Lewis-Skelly
0
#2
Martin Odegaard
0
#3
Ethan Nwaneri
0
#4
Max Dowman
0
No.
Player
Value
#1
Myles Lewis-Skelly
0
#2
Martin Odegaard
0
#3
Ethan Nwaneri
0
#4
Max Dowman
0
#5
Christian Norgaard
0
#6
Kai Havertz
0
#7
Gabriel Jesus
1
#8
Viktor Gyokeres
2
#9
Gabriel Martinelli
2
#10
William Saliba
3
#11
Ben White
4
#12
Mikel Merino
5
#13
Gabriel Magalhaes
5
#14
Noni Madueke
6
#15
Piero Hincapie
6
#16
Eberechi Eze
6
#17
David Raya
8
#18
Cristhian Mosquera
9
#19
Declan Rice
9
#20
Leandro Trossard
10
#21
Riccardo Calafiori
13
#22
Bukayo Saka
14
#23
Jurrien Timber
26
#24
Martin Zubimendi
26
#1
Jurrien Timber
0.59
#2
Viktor Gyokeres
0.53
#3
Bukayo Saka
0.41
#4
Martin Zubimendi
0.38
No.
Player
Value
#1
Jurrien Timber
1
#2
Viktor Gyokeres
1
#3
Bukayo Saka
0
#4
Martin Zubimendi
0
#5
Mikel Merino
0
#6
Riccardo Calafiori
0
#7
Eberechi Eze
0
#8
Leandro Trossard
0
#9
Gabriel Martinelli
0
#10
Noni Madueke
0
#11
Declan Rice
0
#12
Gabriel Magalhaes
0
#13
Gabriel Jesus
0
#14
Cristhian Mosquera
0
#15
Ben White
0
#16
William Saliba
0
#17
Myles Lewis-Skelly
0
#18
Kai Havertz
0
#19
Martin Odegaard
0
#20
David Raya
0
#21
Ethan Nwaneri
0
#22
Max Dowman
0
#23
Christian Norgaard
0
#24
Piero Hincapie
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.
#3
VfL Wolfsburg
0.26
#4
Union Berlin
0.26
#5
Paris FC
0.25
#6
Sevilla
0.25
Average Stats
These stats show VfL Wolfsburg`s solid, reliable contributions that are in line with the majority of players in his position.
#64
VfL Wolfsburg
102
#65
Monaco
101
#66
Auxerre
100
#67
Crystal Palace
100
Weak Stats
These are the areas where VfL Wolfsburg`s performance falls below the league average.
Arsenal FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Arsenal FC is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Arsenal FC consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Arsenal FC`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Arsenal FC`s performance falls below the league average.
#65
Arsenal FC
459
#66
AC Milan
451
#67
Mallorca
441
#68
AFC Bournemouth
441
Performance per season
Expected Threat & Involvement Analysis
VfL Wolfsburg has an Expected Threat of 3242.58 - ranking 14 and measuring their ability to advance the ball into dangerous positions, while Arsenal FC generates 6208.13 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 470.39 - placing them 2 defensively, indicating how much dangerous ball progression they allow opponents, while Arsenal FC concedes 349 Expected Threat against - ranking 20, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
VfL Wolfsburg recorded 119 Critical ball losses - ranking 5 in possession security, meaning they've given the ball away in trouble spots, while Arsenal FC suffered 148 such losses - sitting at 6, 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. | 3242.58 6208.13 |
| 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. | 470.39 349 |
| 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. | 119 148 |
| 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. | 742 1317 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.89 0.99 |
Ratings and Scores
Compare VfL Wolfsburg & Arsenal FC`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, | 58.69 83.4 |
| 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. | 53.82 100 |
| 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 | 64.09 71.25 |
| Offensive interventions | 140.65 127.81 |
Goals & Assists
| Goals | 26 40 |
| Assists ⓘ Creating goals, playing the final pass. | 22 38 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 0 |
| Goals by head ⓘ Goals by head | 4 10 |
| Penalty goals ⓘ Penalty goals | 2 3 |
| Goals by freekick ⓘ Goals by freekick | 1 0 |
| Goals by foot | 19 24 |
| Shots on Goal | 124 214 |
| 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. | 10.08 9.39 |
Goals & Shots conceded
| Goals conceeded | 33 14 |
| Goals by head conceeded | 5 3 |
| Goals by foot conceeded | 24 10 |
| Shots on goal conceeded | 160 108 |
| Goals per 90 min conceeded | 1.94 0.67 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2731 3529 |
| 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 | 2196 2654 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 4634 7613 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 102 120 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 133 185 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 242 264 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 16 35 |
| 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. | 711 576 |
| 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. | 1464 1643 |
| 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. | 2929 4802 |
| 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. | 888 2034 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 62 137 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1279 1638 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 990 1812 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1646 2604 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1021 1580 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1118 1558 |
| 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. | 742 1317 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.47 93 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 58.29 57.69 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 88.64 82.76 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 35.56 50.72 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 38 46.95 |
| 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. | 64.23 66.21 |
| 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. | 75.04 80.78 |
| 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. | 82.97 87.71 |
| 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. | 72.37 78.99 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 50.82 51.89 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 72.27 78.77 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 79.64 84.45 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 74.72 82.8 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 80.68 84.87 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 76.22 78.41 |
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. | 4283 6959 |
| 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". | 1200 1394 |
| 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. | 256 483 |
| 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" | 662 782 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 920 805 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 561 645 |
| 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. | 419 600 |
| 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". | 511 654 |
| Total touches in phase Set Pieces | 675 1083 |
| Total touches in phase Second ball | 1173 1436 |
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. | 119 148 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 488 573 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 73 88 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 217 209 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 401 407 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 31 55 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 29 34 |
| 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’ | 396 294 |
| 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 | 487 391 |
| 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 | 601 673 |
| 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’ | 339 541 |
| 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’ | 60 127 |
| Ball losses total | 1883 2026 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2391 2684 |
| 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 | 229 152 |
| 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 | 702 546 |
| 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 | 822 1022 |
| 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 | 250 444 |
| 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 | 49 125 |
Defensive
| Ground duels won ⓘ Won ground duel. | 458 606 |
| Ground duels lost ⓘ Lost ground duel. | 474 614 |
| Ariel duels won ⓘ Won aerial duel. | 215 277 |
| Ariel duels lost ⓘ Lost aerial duel. | 248 269 |
| 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. | 490 541 |
| 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. | 270 288 |
| 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. | 590 685 |
| 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. | 316 275 |
| Tackles | 932 1220 |
| Clearances by foot | 391 432 |
| Ground duels total | 932 1220 |
| Ground duels won % | 49.14 49.67 |
| Ground duels lost % | 50.86 50.33 |
| Ariel duels total | 463 546 |
| Ariel duels won % | 46.44 50.73 |
| Ariel duels lost % | 53.56 49.27 |
| Defensive stability ⓘ The ability to defend well | 424.2 547.8 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 391 684 |
| Succesful dribbles | 4690 8096 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 344 327 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 701 671 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1146 1517 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 376 756 |
| 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 | 494 459 |
| 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 | 1256 1471 |
| 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 | 588 961 |
| 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 | 154 356 |
| 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 | 599 789 |
| 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 | 387 611 |
| 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 | 627 790 |
| 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 | 421 547 |
| 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 | 566 617 |
| 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 | 400 387 |
| 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 | 1094 1188 |
| 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 | 486 745 |
| 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 | 132 262 |
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. | 23.21 36.45 |
| 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. | 23.21 36.45 |
| 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) | 1.34 0.85 |
| 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. | 4.26 7.67 |
| 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. | 0.89 0.99 |
| Open play Xg ⓘ Open play Xg value | 21.27 33.36 |
| Set piece Xg ⓘ Set piece Xg | 1.87 2.74 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.12 |
| Xg with foot ⓘ Xg with foot | 17.01 25.69 |
| 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. | 2.79 0.55 |
| 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. | -0.26 2.33 |
| 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. | 21.65 34.11 |
| 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. | 0.69 -0.4 |
| 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. | -1.34 -0.85 |
| 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. | 0.86 -0.28 |
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