Bayer 04 Leverkusen vs VfB Stuttgart: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Bayer 04 Leverkusen or VfB Stuttgart? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga Germany Bundesliga 
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Bayer 04 Leverkusen vs. VfB Stuttgart - Who Is Better?
Bayer 04 Leverkusen has a 1vs1 Score of 73.93 while VfB Stuttgart has a 1vs1 Score of 71.52, showing which team is performing better this season. View Bayer 04 Leverkusen's Position in 1vs1 Best Team Ranking | View VfB Stuttgart's Position in 1vs1 Best Team Ranking
VfB Stuttgart has won 607 ground duels versus 553 for Bayer 04 Leverkusen, with VfB Stuttgart ranking 10 and Bayer 04 Leverkusen ranking 15 in the league for ground duels won. See Full Ground duels won Ranking
Bayer 04 Leverkusen has accumulated 26.17 expected goals against while VfB Stuttgart faces 31.76, with Bayer 04 Leverkusen ranking 3 and VfB Stuttgart ranking 8 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 39 38 |
| Goals | 1.95 1.81 |
| Shot at goal number ⓘ Number of shots. | 266 321 |
| Shots on Goal | 180 216 |
| Goals conceeded | 26 27 |
| Goals conceeded | 1.3 1.29 |
| Matches won | 11 12 |
| Matches lost | 6 6 |
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 Bayer 04 Leverkusen`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| BAY | STU | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Bayer 04 Leverkusen creates 5 clear goal-scoring opportunities compared to VfB Stuttgart's 4 - highlighting their ability to fashion high-quality chances
VfB Stuttgart records 105 shots that miss the target completely versus Bayer 04 Leverkusen's 86 - showcasing their shooting accuracy variance
Bayer 04 Leverkusen completes 1994 passes from the right flank while VfB Stuttgart manages 1740 - exposing their right-sided distribution patterns
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Match Prediction
Bayer 04 Leverkusen’s and VfB Stuttgart’s Total Squad Salary
Salary Stats
#1
Mark Flekken
0
No.
Player
Value
#1
Mark Flekken
0
#2
Ibrahim Maza
0
#3
Arthur
0
#4
Claudio Echeverri
0
#5
Christian Kofane
0
#6
Piero Hincapie
0
#7
Jarell Quansah
0
#8
Nathan Tella
0
#9
Ernest Poku
0
#10
Exequiel Palacios
0
#11
Axel Tape
0
#12
Loic Bade
0
#13
Ezequiel Fernandez
0
#14
Eliesse Ben Seghir
0
#15
Jeanuel Belocian
0
#16
Alejo Sarco
0
#17
Montrell Culbreath
0
#18
Janis Blaswich
0
#19
Lucas Vazquez
0
#20
Aleix Garcia
0
#21
Robert Andrich
0
#22
Jonas Hofmann
0
#23
Edmond Tapsoba
1
#24
Martin Terrier
1
#25
Alejandro Grimaldo
1
#26
Patrik Schick
1
#27
Malik Tillman
1
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
No.
Player
Value
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
#5
Jarell Quansah
0
#6
Ernest Poku
0
#7
Axel Tape
0
#8
Ezequiel Fernandez
0
#9
Eliesse Ben Seghir
0
#10
Jeanuel Belocian
0
#11
Alejo Sarco
0
#12
Montrell Culbreath
0
#13
Piero Hincapie
1
#14
Exequiel Palacios
1
#15
Lucas Vazquez
1
#16
Janis Blaswich
2
#17
Patrik Schick
3
#18
Alejandro Grimaldo
3
#19
Edmond Tapsoba
4
#20
Martin Terrier
4
#21
Jonas Hofmann
5
#22
Aleix Garcia
5
#23
Nathan Tella
5
#24
Malik Tillman
5
#25
Mark Flekken
5
#26
Loic Bade
6
#27
Robert Andrich
7
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
No.
Player
Value
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
#5
Jarell Quansah
0
#6
Ernest Poku
0
#7
Axel Tape
0
#8
Ezequiel Fernandez
0
#9
Eliesse Ben Seghir
0
#10
Jeanuel Belocian
0
#11
Alejo Sarco
0
#12
Montrell Culbreath
0
#13
Janis Blaswich
1
#14
Patrik Schick
1
#15
Exequiel Palacios
2
#16
Piero Hincapie
3
#17
Mark Flekken
4
#18
Martin Terrier
4
#19
Lucas Vazquez
4
#20
Nathan Tella
5
#21
Loic Bade
12
#22
Jonas Hofmann
13
#23
Edmond Tapsoba
13
#24
Malik Tillman
18
#25
Alejandro Grimaldo
21
#26
Robert Andrich
25
#27
Aleix Garcia
38
#1
Patrik Schick
0.94
#2
Malik Tillman
0.82
#3
Alejandro Grimaldo
0.59
#4
Martin Terrier
0.39
No.
Player
Value
#1
Patrik Schick
1
#2
Malik Tillman
1
#3
Alejandro Grimaldo
1
#4
Martin Terrier
0
#5
Nathan Tella
0
#6
Jonas Hofmann
0
#7
Edmond Tapsoba
0
#8
Aleix Garcia
0
#9
Loic Bade
0
#10
Robert Andrich
0
#11
Piero Hincapie
0
#12
Lucas Vazquez
0
#13
Exequiel Palacios
0
#14
Mark Flekken
0
#15
Ibrahim Maza
0
#16
Arthur
0
#17
Claudio Echeverri
0
#18
Christian Kofane
0
#19
Jarell Quansah
0
#20
Ernest Poku
0
#21
Axel Tape
0
#22
Ezequiel Fernandez
0
#23
Eliesse Ben Seghir
0
#24
Jeanuel Belocian
0
#25
Alejo Sarco
0
#26
Montrell Culbreath
0
#27
Janis Blaswich
0
Salary Stats
#1
Alexander Nubel
0
No.
Player
Value
#1
Alexander Nubel
0
#2
Luca Jaquez
0
#3
Lazar Jovanovic
0
#4
Jeff Chabot
0
#5
Atakan Karazor
0
#6
Ramon Hendriks
0
#7
Nick Woltemade
0
#8
Finn Jeltsch
0
#9
Chema Andres
0
#10
Nikolas Nartey
0
#11
Lorenz Assignon
0
#12
Badredine Bouanani
0
#13
Ameen Al-Dakhil
0
#14
Pascal Stenzel
0
#15
Dan-Axel Zagadou
0
#16
Jeremy Arevalo
0
#17
Leonidas Stergiou
0
#18
Angelo Stiller
0
#19
Josha Vagnoman
0
#20
Maximilian Mittelstadt
1
#21
Chris Fuhrich
1
#22
Ermedin Demirovic
1
#23
Bilal El Khannouss
1
#24
Jamie Leweling
2
#25
Tiago Tomas
2
#26
Deniz Undav
2
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
No.
Player
Value
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
#5
Finn Jeltsch
0
#6
Chema Andres
0
#7
Nikolas Nartey
0
#8
Lorenz Assignon
0
#9
Badredine Bouanani
0
#10
Pascal Stenzel
0
#11
Jeremy Arevalo
0
#12
Leonidas Stergiou
0
#13
Nick Woltemade
0
#14
Dan-Axel Zagadou
1
#15
Ermedin Demirovic
3
#16
Alexander Nubel
3
#17
Deniz Undav
5
#18
Maximilian Mittelstadt
5
#19
Angelo Stiller
6
#20
Ameen Al-Dakhil
6
#21
Chris Fuhrich
8
#22
Jamie Leweling
8
#23
Atakan Karazor
8
#24
Josha Vagnoman
10
#25
Tiago Tomas
10
#26
Bilal El Khannouss
10
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
No.
Player
Value
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
#5
Finn Jeltsch
0
#6
Chema Andres
0
#7
Nikolas Nartey
0
#8
Lorenz Assignon
0
#9
Badredine Bouanani
0
#10
Pascal Stenzel
0
#11
Jeremy Arevalo
0
#12
Leonidas Stergiou
0
#13
Nick Woltemade
0
#14
Ermedin Demirovic
2
#15
Alexander Nubel
2
#16
Dan-Axel Zagadou
6
#17
Ameen Al-Dakhil
8
#18
Deniz Undav
10
#19
Tiago Tomas
13
#20
Atakan Karazor
25
#21
Maximilian Mittelstadt
26
#22
Josha Vagnoman
30
#23
Chris Fuhrich
30
#24
Jamie Leweling
37
#25
Angelo Stiller
42
#26
Bilal El Khannouss
56
#1
Tiago Tomas
2.11
#2
Deniz Undav
1.84
#3
Jamie Leweling
0.76
#4
Josha Vagnoman
0.73
No.
Player
Value
#1
Tiago Tomas
2
#2
Deniz Undav
2
#3
Jamie Leweling
1
#4
Josha Vagnoman
1
#5
Bilal El Khannouss
1
#6
Ermedin Demirovic
1
#7
Maximilian Mittelstadt
1
#8
Angelo Stiller
0
#9
Chris Fuhrich
0
#10
Atakan Karazor
0
#11
Dan-Axel Zagadou
0
#12
Ameen Al-Dakhil
0
#13
Nick Woltemade
0
#14
Alexander Nubel
0
#15
Luca Jaquez
0
#16
Lazar Jovanovic
0
#17
Jeff Chabot
0
#18
Ramon Hendriks
0
#19
Finn Jeltsch
0
#20
Chema Andres
0
#21
Nikolas Nartey
0
#22
Lorenz Assignon
0
#23
Badredine Bouanani
0
#24
Pascal Stenzel
0
#25
Jeremy Arevalo
0
#26
Leonidas Stergiou
0
Bayer 04 Leverkusen: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Bayer 04 Leverkusen consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Bayer 04 Leverkusen`s solid, reliable contributions that are in line with the majority of players in his position.
#5
Bayer 04 Leverkusen
871
#6
FC St. Pauli
846
#7
Werder Bremen
816
#8
Koln
809
Weak Stats
These are the areas where Bayer 04 Leverkusen`s performance falls below the league average.
VfB Stuttgart: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where VfB Stuttgart consistently performs at a high level, placing him near the top of the league.
#2
VfB Stuttgart
770
#3
Borussia Dortmund
736
#4
Bayer 04 Leverkusen
690
#5
RB Leipzig
683
Average Stats
These stats show VfB Stuttgart`s solid, reliable contributions that are in line with the majority of players in his position.
#6
VfB Stuttgart
410
#7
VfL Wolfsburg
409
#8
Koln
404
#9
Augsburg
396
Weak Stats
These are the areas where VfB Stuttgart`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Bayer 04 Leverkusen has an Expected Threat of 6289.78 - ranking 2 and measuring their ability to advance the ball into dangerous positions, while VfB Stuttgart generates 6121.82 Expected Threat - sitting at 4, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Bayer 04 Leverkusen has an Expected Threat against of 351.07 - placing them 17 defensively, indicating how much dangerous ball progression they allow opponents, while VfB Stuttgart concedes 435.58 Expected Threat against - ranking 12, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Bayer 04 Leverkusen recorded 194 Critical ball losses - ranking 14 in possession security, meaning they've given the ball away in trouble spots, while VfB Stuttgart suffered 191 such losses - sitting at 13, 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. | 6289.78 6121.82 |
| 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. | 351.07 435.58 |
| 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. | 194 191 |
| 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. | 1279 1411 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.96 0.98 |
Ratings and Scores
Compare Bayer 04 Leverkusen & VfB Stuttgart`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, | 73.93 71.52 |
| 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. | 64.79 63.4 |
| 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 | 72.46 70.13 |
| Offensive interventions | 126.25 139.1 |
Goals & Assists
| Goals | 39 38 |
| Assists ⓘ Creating goals, playing the final pass. | 35 36 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 2 |
| Goals by head ⓘ Goals by head | 6 4 |
| Penalty goals ⓘ Penalty goals | 4 3 |
| Goals by freekick ⓘ Goals by freekick | 2 0 |
| Goals by foot | 26 30 |
| Shots on Goal | 180 216 |
| 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. | 10.8 8.69 |
Goals & Shots conceded
| Goals conceeded | 26 27 |
| Goals by head conceeded | 6 1 |
| Goals by foot conceeded | 16 20 |
| Shots on goal conceeded | 162 182 |
| Goals per 90 min conceeded | 1.3 1.29 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 4467 3967 |
| 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 | 3605 3174 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 9625 7663 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 145 128 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 173 173 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 279 302 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 39 44 |
| 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. | 823 666 |
| 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. | 2202 1602 |
| 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. | 6101 5229 |
| 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. | 2054 1967 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 105 109 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1994 1740 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1888 1523 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 3192 2546 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1963 1676 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2248 2088 |
| 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. | 1279 1411 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.37 92.23 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 71.43 65.31 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.88 86.29 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 54.17 56.41 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 48.06 43.69 |
| 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. | 72.64 66.87 |
| 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. | 83.85 77.77 |
| 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. | 90.18 87.02 |
| 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. | 82.19 78.09 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.97 54.5 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 83.97 80.34 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 86.97 82.56 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 86.79 81.08 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 86.17 82.82 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 82.7 79.96 |
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. | 9047 7086 |
| 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". | 1627 1644 |
| 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. | 383 472 |
| 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" | 660 882 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 940 943 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 681 817 |
| 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. | 397 512 |
| 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". | 527 676 |
| Total touches in phase Set Pieces | 780 984 |
| Total touches in phase Second ball | 1187 1558 |
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. | 194 191 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 684 646 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 58 68 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 187 223 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 353 452 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 28 48 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 33 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’ | 310 330 |
| 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 | 424 458 |
| 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 | 664 780 |
| 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’ | 445 552 |
| 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’ | 86 91 |
| Ball losses total | 1929 2211 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2525 2921 |
| 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 | 196 228 |
| 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 | 693 617 |
| 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 | 880 1139 |
| 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 | 334 408 |
| 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 | 80 81 |
Defensive
| Ground duels won ⓘ Won ground duel. | 553 607 |
| Ground duels lost ⓘ Lost ground duel. | 517 607 |
| Ariel duels won ⓘ Won aerial duel. | 211 325 |
| Ariel duels lost ⓘ Lost aerial duel. | 187 273 |
| 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. | 603 575 |
| 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. | 290 308 |
| 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. | 543 735 |
| 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. | 295 361 |
| Tackles | 1070 1214 |
| Clearances by foot | 393 426 |
| Ground duels total | 1070 1214 |
| Ground duels won % | 51.68 50 |
| Ground duels lost % | 48.32 50 |
| Ariel duels total | 398 598 |
| Ariel duels won % | 53.02 54.35 |
| Ariel duels lost % | 46.98 45.65 |
| Defensive stability ⓘ The ability to defend well | 457.5 563.1 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 713 625 |
| Succesful dribbles | 8937 7693 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 487 335 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 991 706 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 2106 1937 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 690 770 |
| 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 | 739 452 |
| 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 | 2154 1865 |
| 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 | 1042 1093 |
| 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 | 237 318 |
| 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 | 869 731 |
| 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 | 678 543 |
| 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 | 1150 948 |
| 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 | 760 618 |
| 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 | 871 970 |
| 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 | 627 394 |
| 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 | 1844 1587 |
| 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 | 833 880 |
| 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 | 188 257 |
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. | 36.45 36.4 |
| 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. | 36.45 36.4 |
| 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) | 1.49 1.76 |
| 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. | 4.27 6.49 |
| 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 | 3.12 3.12 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.96 0.98 |
| Open play Xg ⓘ Open play Xg value | 32.39 32.91 |
| Set piece Xg ⓘ Set piece Xg | 4.05 3.49 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.11 |
| Xg with foot ⓘ Xg with foot | 28.12 26.43 |
| 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. | 1.55 0.6 |
| 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. | 1.73 -2.49 |
| 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. | 33.33 33.29 |
| 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. | 1.06 -0.37 |
| 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. | -0.49 0.24 |
| 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. | 0.22 -0.32 |
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