Bayer 04 Leverkusen vs Hellas Verona: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Bayer 04 Leverkusen or Hellas Verona? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
Italy 
Serie A 
Analyse Analyse Bayer 04 Leverkusen vs. Hellas Verona - Who Is Better?
Bayer 04 Leverkusen has a 1vs1 Score of 75.22 while Hellas Verona has a 1vs1 Score of 57.26, showing which team is performing better this season. View Bayer 04 Leverkusen's Position in 1vs1 Best Team Ranking | View Hellas Verona's Position in 1vs1 Best Team Ranking
Hellas Verona has won 776 ground duels versus 531 for Bayer 04 Leverkusen, with Hellas Verona ranking 2 and Bayer 04 Leverkusen ranking 14 in the league for ground duels won. See Full Ground duels won Ranking
Bayer 04 Leverkusen has accumulated 25.48 expected goals against while Hellas Verona faces 29.5, with Bayer 04 Leverkusen ranking 3 and Hellas Verona ranking 7 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 38 18 |
| Goals | 2 0.78 |
| Shot at goal number ⓘ Number of shots. | 257 259 |
| Shots on Goal | 175 182 |
| Goals conceeded | 25 38 |
| Goals conceeded | 1.32 1.65 |
| Matches won | 11 2 |
| Matches lost | 6 13 |
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 | VER | |
| 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 Hellas Verona's 3 - highlighting their ability to fashion high-quality chances
Hellas Verona records 77 shots that miss the target completely versus Bayer 04 Leverkusen's 82 - showcasing their shooting accuracy variance
Bayer 04 Leverkusen completes 1888 passes from the right flank while Hellas Verona manages 1545 - exposing their right-sided distribution patterns
Compare Yourself
Bayer 04 Leverkusen Compare Bayer 04 Leverkusen
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Bayer 04 Leverkusen’s and Hellas Verona’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
2
#18
Alejandro Grimaldo
3
#19
Edmond Tapsoba
3
#20
Martin Terrier
3
#21
Jonas Hofmann
4
#22
Aleix Garcia
5
#23
Malik Tillman
5
#24
Nathan Tella
5
#25
Mark Flekken
5
#26
Loic Bade
5
#27
Robert Andrich
6
#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
Exequiel Palacios
1
#15
Patrik Schick
1
#16
Piero Hincapie
3
#17
Martin Terrier
3
#18
Mark Flekken
4
#19
Lucas Vazquez
4
#20
Nathan Tella
5
#21
Loic Bade
12
#22
Edmond Tapsoba
12
#23
Jonas Hofmann
12
#24
Malik Tillman
18
#25
Alejandro Grimaldo
19
#26
Robert Andrich
25
#27
Aleix Garcia
36
#1
Patrik Schick
0.93
#2
Malik Tillman
0.82
#3
Alejandro Grimaldo
0.58
#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
Daniel Oyegoke
0
No.
Player
Value
#1
Daniel Oyegoke
0
#2
Daniel Mosquera
0
#3
Giovane
0
#4
Victor Nelsson
0
#5
Rafik Belghali
0
#6
Fallou Cham
0
#7
Unai Nunez
0
#8
Domagoj Bradaric
0
#9
Lorenzo Montipo
0
#10
Abdou Harroui
0
#11
Cheikh Niasse
0
#12
Martin Frese
0
#13
Enzo Ebosse
0
#14
Antoine Bernede
0
#15
Amin Sarr
0
#16
Moatasem Al-Musrati
0
#17
Armel Bella-Kotchap
0
#18
Gift Orban
0
#19
Jean-Daniel Akpa Akpro
0
#20
Yellu Santiago
0
#21
Junior Ajayi
0
#22
Grigoris Kastanos
0
#23
Nicolas Valentini
0
#24
Tobias Slotsager
0
#25
Simone Perilli
0
#26
Pol Lirola
0
#27
Isaac
0
#28
Sandi Lovric
0
#29
Roberto Gagliardini
1
#30
Suat Serdar
1
#1
Daniel Oyegoke
0
#2
Daniel Mosquera
0
#3
Giovane
0
#4
Rafik Belghali
0
No.
Player
Value
#1
Daniel Oyegoke
0
#2
Daniel Mosquera
0
#3
Giovane
0
#4
Rafik Belghali
0
#5
Fallou Cham
0
#6
Lorenzo Montipo
0
#7
Abdou Harroui
0
#8
Cheikh Niasse
0
#9
Martin Frese
0
#10
Enzo Ebosse
0
#11
Antoine Bernede
0
#12
Amin Sarr
0
#13
Moatasem Al-Musrati
0
#14
Armel Bella-Kotchap
0
#15
Gift Orban
0
#16
Jean-Daniel Akpa Akpro
0
#17
Yellu Santiago
0
#18
Junior Ajayi
0
#19
Grigoris Kastanos
0
#20
Tobias Slotsager
0
#21
Simone Perilli
0
#22
Isaac
0
#23
Sandi Lovric
0
#24
Pol Lirola
7
#25
Nicolas Valentini
11
#26
Roberto Gagliardini
15
#27
Suat Serdar
16
#28
Domagoj Bradaric
16
#29
Unai Nunez
18
#30
Victor Nelsson
21
#1
Daniel Oyegoke
0
#2
Daniel Mosquera
0
#3
Giovane
0
#4
Rafik Belghali
0
No.
Player
Value
#1
Daniel Oyegoke
0
#2
Daniel Mosquera
0
#3
Giovane
0
#4
Rafik Belghali
0
#5
Fallou Cham
0
#6
Lorenzo Montipo
0
#7
Abdou Harroui
0
#8
Cheikh Niasse
0
#9
Martin Frese
0
#10
Enzo Ebosse
0
#11
Antoine Bernede
0
#12
Amin Sarr
0
#13
Moatasem Al-Musrati
0
#14
Armel Bella-Kotchap
0
#15
Gift Orban
0
#16
Jean-Daniel Akpa Akpro
0
#17
Yellu Santiago
0
#18
Junior Ajayi
0
#19
Grigoris Kastanos
0
#20
Tobias Slotsager
0
#21
Simone Perilli
0
#22
Isaac
0
#23
Sandi Lovric
0
#24
Nicolas Valentini
15
#25
Pol Lirola
15
#26
Victor Nelsson
17
#27
Unai Nunez
39
#28
Roberto Gagliardini
40
#29
Suat Serdar
40
#30
Domagoj Bradaric
44
#1
Suat Serdar
1.08
#2
Roberto Gagliardini
0.29
#3
Unai Nunez
0.26
#4
Domagoj Bradaric
0.24
No.
Player
Value
#1
Suat Serdar
1
#2
Roberto Gagliardini
0
#3
Unai Nunez
0
#4
Domagoj Bradaric
0
#5
Victor Nelsson
0
#6
Nicolas Valentini
0
#7
Daniel Oyegoke
0
#8
Daniel Mosquera
0
#9
Giovane
0
#10
Rafik Belghali
0
#11
Fallou Cham
0
#12
Lorenzo Montipo
0
#13
Abdou Harroui
0
#14
Cheikh Niasse
0
#15
Martin Frese
0
#16
Enzo Ebosse
0
#17
Antoine Bernede
0
#18
Amin Sarr
0
#19
Moatasem Al-Musrati
0
#20
Armel Bella-Kotchap
0
#21
Gift Orban
0
#22
Jean-Daniel Akpa Akpro
0
#23
Yellu Santiago
0
#24
Junior Ajayi
0
#25
Grigoris Kastanos
0
#26
Tobias Slotsager
0
#27
Simone Perilli
0
#28
Pol Lirola
0
#29
Isaac
0
#30
Sandi Lovric
0
Bayer 04 Leverkusen: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Bayer 04 Leverkusen`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Bayer 04 Leverkusen`s performance falls below the league average.
Hellas Verona: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Hellas Verona is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Hellas Verona consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Hellas Verona`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Hellas Verona`s performance falls below the league average.
#92
Hellas Verona
603
#93
Villarreal
578
#94
Union Berlin
571
#95
Levante UD
568
Performance per season
Expected Threat & Involvement Analysis
Bayer 04 Leverkusen has an Expected Threat of 5951.26 - ranking 2 and measuring their ability to advance the ball into dangerous positions, while Hellas Verona generates 3436.56 Expected Threat - sitting at 15, 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 338.06 - placing them 17 defensively, indicating how much dangerous ball progression they allow opponents, while Hellas Verona concedes 521.21 Expected Threat against - ranking 7, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Bayer 04 Leverkusen recorded 184 Critical ball losses - ranking 14 in possession security, meaning they've given the ball away in trouble spots, while Hellas Verona suffered 142 such losses - sitting at 2, 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. | 5951.26 3436.56 |
| 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. | 338.06 521.21 |
| 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. | 184 142 |
| 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. | 1213 1010 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.95 1.66 |
Ratings and Scores
Compare Bayer 04 Leverkusen & Hellas Verona`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, | 75.22 57.26 |
| 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. | 65.13 57.98 |
| 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 | 75.61 55.57 |
| Offensive interventions | 126.05 143.43 |
Goals & Assists
| Goals | 38 18 |
| Assists ⓘ Creating goals, playing the final pass. | 34 13 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 1 |
| Goals by head ⓘ Goals by head | 6 1 |
| Penalty goals ⓘ Penalty goals | 4 2 |
| Goals by freekick ⓘ Goals by freekick | 2 0 |
| Goals by foot | 26 14 |
| Shots on Goal | 175 182 |
| 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. | 11.21 5.06 |
Goals & Shots conceded
| Goals conceeded | 25 38 |
| Goals by head conceeded | 6 9 |
| Goals by foot conceeded | 15 27 |
| Shots on goal conceeded | 155 208 |
| Goals per 90 min conceeded | 1.32 1.65 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 4248 3157 |
| 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 | 3421 2414 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 9052 4425 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 134 80 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 160 257 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 266 277 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 39 18 |
| 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. | 786 343 |
| 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. | 2110 1282 |
| 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. | 5693 3274 |
| 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. | 1938 1165 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 97 70 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1888 1545 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1776 1009 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2994 1433 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1847 924 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2119 1223 |
| 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. | 1213 1010 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.41 87.19 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 70.16 49.69 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.48 77.59 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 54.93 34.62 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 47.2 44.77 |
| 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. | 72.38 46.48 |
| 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. | 84.06 69.49 |
| 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. | 90.05 77.07 |
| 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. | 82.4 68.65 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.49 49.3 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 84.12 68.59 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 86.92 75.68 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 86.56 69.29 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 86.05 73.17 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 82.77 69.63 |
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. | 8516 3457 |
| 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". | 1532 1756 |
| 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. | 367 443 |
| 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" | 617 1045 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 883 1133 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 646 777 |
| 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. | 376 649 |
| 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". | 507 775 |
| Total touches in phase Set Pieces | 743 1092 |
| Total touches in phase Second ball | 1124 1820 |
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. | 184 142 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 639 650 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 57 81 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 179 317 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 334 570 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 28 80 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 32 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’ | 300 395 |
| 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 | 400 563 |
| 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 | 629 974 |
| 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’ | 414 532 |
| 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’ | 81 72 |
| Ball losses total | 1824 2536 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2395 3299 |
| 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 | 184 216 |
| 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 | 666 869 |
| 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 | 832 1300 |
| 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 | 316 380 |
| 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 | 76 75 |
Defensive
| Ground duels won ⓘ Won ground duel. | 531 776 |
| Ground duels lost ⓘ Lost ground duel. | 493 752 |
| Ariel duels won ⓘ Won aerial duel. | 203 394 |
| Ariel duels lost ⓘ Lost aerial duel. | 181 438 |
| 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. | 570 653 |
| Ground duel ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case a ground duel. | 278 461 |
| 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. | 516 867 |
| 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. | 279 380 |
| Tackles | 1024 1528 |
| Clearances by foot | 371 625 |
| Ground duels total | 1024 1528 |
| Ground duels won % | 51.86 50.79 |
| Ground duels lost % | 48.14 49.21 |
| Ariel duels total | 384 832 |
| Ariel duels won % | 52.86 47.36 |
| Ariel duels lost % | 47.14 52.64 |
| Defensive stability ⓘ The ability to defend well | 439.9 750.8 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 681 478 |
| Succesful dribbles | 8396 4906 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 465 278 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 952 724 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1990 1341 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 653 524 |
| 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 | 703 440 |
| 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 | 2048 1396 |
| 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 | 983 793 |
| 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 | 230 217 |
| 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 | 835 834 |
| 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 | 636 462 |
| 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 | 1092 658 |
| 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 | 723 356 |
| 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 | 826 603 |
| 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 | 596 351 |
| 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 | 1750 1181 |
| 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 | 784 651 |
| 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 | 183 184 |
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. | 35.97 28.3 |
| 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. | 35.97 28.3 |
| 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) | 1.41 1.98 |
| 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 3.92 |
| 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 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.95 1.66 |
| Open play Xg ⓘ Open play Xg value | 31.97 26.11 |
| Set piece Xg ⓘ Set piece Xg | 4 2.08 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.11 |
| Xg with foot ⓘ Xg with foot | 27.7 22.18 |
| 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. | 2.03 -11.3 |
| 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 -2.92 |
| 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. | 32.86 26.74 |
| 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. | 1.12 -0.52 |
| 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. | -0.41 -0.98 |
| 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 0.42 |
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