VfL Wolfsburg vs Brentford: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – VfL Wolfsburg or Brentford? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
England 
Premier League 
Analyse Analyse VfL Wolfsburg vs. Brentford - Who Is Better?
VfL Wolfsburg has a 1vs1 Score of 57 while Brentford has a 1vs1 Score of 67.98, showing which team is performing better this season. View VfL Wolfsburg's Position in 1vs1 Best Team Ranking | View Brentford's Position in 1vs1 Best Team Ranking
Brentford has won 636 ground duels versus 567 for VfL Wolfsburg, with Brentford ranking 20 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 Brentford faces 39.52, with VfL Wolfsburg ranking 16 and Brentford ranking 18 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 29 39 |
| Goals | 1.38 1.56 |
| Shot at goal number ⓘ Number of shots. | 237 249 |
| Shots on Goal | 148 172 |
| Goals conceeded | 40 32 |
| Goals conceeded | 1.9 1.28 |
| Matches won | 5 12 |
| Matches lost | 12 10 |
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 | BRE | |
| 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 Brentford's 6 - highlighting their ability to fashion high-quality chances
Brentford records 77 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 Brentford manages 1847 - exposing their right-sided distribution patterns
Compare Yourself
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VfL Wolfsburg’s and Brentford’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
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
No.
Player
Value
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
#5
Rico Henry
0
#6
Caoimhin Kelleher
0
#7
Sepp van den Berg
0
#8
Aaron Hickey
0
#9
Kevin Schade
0
#10
Frank Onyeka
0
#11
Kristoffer Ajer
0
#12
Ethan Pinnock
0
#13
Reiss Nelson
0
#14
Myles Peart-Harris
0
#15
Romelle Donovan
0
#16
Mikkel Damsgaard
0
#17
Fabio Carvalho
0
#18
Nathan Collins
1
#19
Vitaly Janelt
1
#20
Mathias Jensen
1
#21
Keane Lewis-Potter
1
#22
Dango Ouattara
2
#23
Igor Thiago
6
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
No.
Player
Value
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
#5
Kevin Schade
0
#6
Myles Peart-Harris
0
#7
Romelle Donovan
0
#8
Reiss Nelson
2
#9
Ethan Pinnock
3
#10
Frank Onyeka
4
#11
Fabio Carvalho
5
#12
Aaron Hickey
5
#13
Mikkel Damsgaard
6
#14
Mathias Jensen
10
#15
Caoimhin Kelleher
10
#16
Keane Lewis-Potter
10
#17
Kristoffer Ajer
10
#18
Igor Thiago
11
#19
Dango Ouattara
12
#20
Rico Henry
14
#21
Vitaly Janelt
14
#22
Nathan Collins
17
#23
Sepp van den Berg
23
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
No.
Player
Value
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
#5
Kevin Schade
0
#6
Myles Peart-Harris
0
#7
Romelle Donovan
0
#8
Fabio Carvalho
2
#9
Frank Onyeka
3
#10
Ethan Pinnock
4
#11
Reiss Nelson
6
#12
Aaron Hickey
7
#13
Caoimhin Kelleher
11
#14
Igor Thiago
12
#15
Kristoffer Ajer
17
#16
Keane Lewis-Potter
17
#17
Rico Henry
26
#18
Mikkel Damsgaard
27
#19
Mathias Jensen
28
#20
Dango Ouattara
30
#21
Sepp van den Berg
32
#22
Nathan Collins
36
#23
Vitaly Janelt
53
#1
Igor Thiago
5.08
#2
Dango Ouattara
1.79
#3
Sepp van den Berg
1.25
#4
Mathias Jensen
0.64
No.
Player
Value
#1
Igor Thiago
5
#2
Dango Ouattara
2
#3
Sepp van den Berg
1
#4
Mathias Jensen
1
#5
Keane Lewis-Potter
1
#6
Nathan Collins
0
#7
Vitaly Janelt
0
#8
Fabio Carvalho
0
#9
Mikkel Damsgaard
0
#10
Kristoffer Ajer
0
#11
Reiss Nelson
0
#12
Rico Henry
0
#13
Aaron Hickey
0
#14
Antoni Milambo
0
#15
Jordan Henderson
0
#16
Michael Kayode
0
#17
Yegor Yarmolyuk
0
#18
Caoimhin Kelleher
0
#19
Kevin Schade
0
#20
Frank Onyeka
0
#21
Ethan Pinnock
0
#22
Myles Peart-Harris
0
#23
Romelle Donovan
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
LOSC Lille
0.22
#10
Werder Bremen
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.
#82
VfL Wolfsburg
183
#83
Hellas Verona
182
#84
Hamburger SV
180
#85
Le Havre AC
177
Brentford: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Brentford is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Brentford consistently performs at a high level, placing him near the top of the league.
#2
Brentford
510
#3
Chelsea
502
#4
Rayo Vallecano
500
#5
Bayer 04 Leverkusen
487
Average Stats
These stats show Brentford`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 3872.77 - ranking 13 and measuring their ability to advance the ball into dangerous positions, while Brentford generates 4155.47 Expected Threat - sitting at 17, 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 535.69 - placing them 4 defensively, indicating how much dangerous ball progression they allow opponents, while Brentford concedes 627.63 Expected Threat against - ranking 5, 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 Brentford suffered 191 such losses - sitting at 11, 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. | 3872.77 4155.47 |
| 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. | 535.69 627.63 |
| 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. | 146 191 |
| 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 1118 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.99 1.04 |
Ratings and Scores
Compare VfL Wolfsburg & Brentford`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 67.98 |
| 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 62.05 |
| 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 | 63.13 66.71 |
| Offensive interventions | 143.86 143.36 |
Goals & Assists
| Goals | 29 39 |
| Assists ⓘ Creating goals, playing the final pass. | 25 30 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 1 |
| Goals by head ⓘ Goals by head | 6 6 |
| Penalty goals ⓘ Penalty goals | 2 6 |
| Goals by freekick ⓘ Goals by freekick | 1 0 |
| Goals by foot | 20 26 |
| Shots on Goal | 148 172 |
| 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 11.66 |
Goals & Shots conceded
| Goals conceeded | 40 32 |
| Goals by head conceeded | 7 8 |
| Goals by foot conceeded | 28 20 |
| Shots on goal conceeded | 213 230 |
| Goals per 90 min conceeded | 1.9 1.28 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3392 3715 |
| 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 2895 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5753 6210 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 122 108 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 173 196 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 312 276 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 18 33 |
| 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. | 819 730 |
| 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 1972 |
| 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 4034 |
| 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 1262 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 73 110 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1574 1847 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1216 1284 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2029 2004 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1304 1310 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1407 1663 |
| 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 1118 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 89.93 89.11 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 58.94 57.75 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.91 72.06 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 34.62 44 |
| 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 45.27 |
| 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 59.69 |
| 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 76.52 |
| 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 80.34 |
| 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 67.49 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 49.66 44 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 72.3 72.05 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 79.51 77.06 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 74.43 71.49 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.17 76.98 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 75.56 75.02 |
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 5241 |
| 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 1850 |
| 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. | 350 492 |
| 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 1145 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1094 1126 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 750 929 |
| 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. | 557 820 |
| 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". | 647 740 |
| Total touches in phase Set Pieces | 907 1312 |
| Total touches in phase Second ball | 1487 1885 |
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. | 146 191 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 644 759 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 85 79 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 258 237 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 545 661 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 47 107 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 34 42 |
| 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’ | 489 493 |
| 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 | 604 605 |
| 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 | 785 987 |
| 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’ | 449 608 |
| 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’ | 74 140 |
| Ball losses total | 2401 2833 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3021 3584 |
| 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 | 295 328 |
| 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 | 865 926 |
| 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 1290 |
| 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 | 327 482 |
| 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 | 59 102 |
Defensive
| Ground duels won ⓘ Won ground duel. | 567 636 |
| Ground duels lost ⓘ Lost ground duel. | 591 713 |
| Ariel duels won ⓘ Won aerial duel. | 278 386 |
| Ariel duels lost ⓘ Lost aerial duel. | 306 373 |
| 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. | 630 800 |
| 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. | 329 315 |
| 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. | 773 942 |
| 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. | 406 464 |
| Tackles | 1158 1349 |
| Clearances by foot | 484 472 |
| Ground duels total | 1158 1349 |
| Ground duels won % | 48.96 47.15 |
| Ground duels lost % | 51.04 52.85 |
| Ariel duels total | 584 759 |
| Ariel duels won % | 47.6 50.86 |
| Ariel duels lost % | 52.4 49.14 |
| Defensive stability ⓘ The ability to defend well | 549.1 595 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 482 591 |
| Succesful dribbles | 5843 6542 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 406 510 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 818 895 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1480 1500 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 484 538 |
| 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 | 561 653 |
| 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 1582 |
| 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 | 757 826 |
| 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 | 199 292 |
| 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 | 757 809 |
| 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 | 458 473 |
| 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 | 761 865 |
| 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 | 529 535 |
| 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 | 724 821 |
| 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 | 458 545 |
| 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 1341 |
| 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 | 618 648 |
| 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 | 168 254 |
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 39.43 |
| 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 39.43 |
| 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 0.94 |
| 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 7.41 |
| 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 6.24 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.99 1.04 |
| Open play Xg ⓘ Open play Xg value | 26.49 32.75 |
| Set piece Xg ⓘ Set piece Xg | 2.01 6.68 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.16 |
| Xg with foot ⓘ Xg with foot | 21.22 25.34 |
| 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 -1.43 |
| 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 -1.41 |
| 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 33.2 |
| 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 -0.45 |
| 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 0.06 |
| 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 -0.73 |
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