Bayer 04 Leverkusen vs Lorient: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Bayer 04 Leverkusen or Lorient? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
France 
Ligue 1 
Analyse Analyse Bayer 04 Leverkusen vs. Lorient - Who Is Better?
Bayer 04 Leverkusen has a 1vs1 Score of 75.22 while Lorient has a 1vs1 Score of 68.82, showing which team is performing better this season. View Bayer 04 Leverkusen's Position in 1vs1 Best Team Ranking | View Lorient's Position in 1vs1 Best Team Ranking
Lorient has won 604 ground duels versus 531 for Bayer 04 Leverkusen, with Lorient ranking 8 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 Lorient faces 26.29, with Bayer 04 Leverkusen ranking 3 and Lorient ranking 4 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 38 27 |
| Goals | 2 1.35 |
| Shot at goal number ⓘ Number of shots. | 257 236 |
| Shots on Goal | 175 158 |
| Goals conceeded | 25 29 |
| Goals conceeded | 1.32 1.45 |
| Matches won | 11 7 |
| 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 | LOR | |
| 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 Lorient's 9 - highlighting their ability to fashion high-quality chances
Lorient records 78 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 Lorient manages 1653 - exposing their right-sided distribution patterns
Compare Yourself
Bayer 04 Leverkusen Compare Bayer 04 Leverkusen
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Bayer 04 Leverkusen’s and Lorient’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
Joel Mvuka
0
No.
Player
Value
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
#5
Mohamed Bamba
0
#6
Arthur Avom
0
#7
Igor Silva
0
#8
Arsene Kouassi
0
#9
Bingourou Kamara
0
#10
Aiyegun Tosin
0
#11
Formose Mendy
0
#12
Darlin Yongwa
0
#13
Sambou Soumano
0
#14
Montassar Talbi
0
#15
Theo Le Bris
0
#16
Abdoulaye Faye
0
#17
Noah Cadiou
0
#18
Bamo Meite
0
#19
Yvon Mvogo
0
#20
Bamba Dieng
0
#21
Nathaniel Adjei
0
#22
Martin Bley
0
#23
Laurent Abergel
0
#24
Jean-Victor Makengo
2
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
No.
Player
Value
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
#5
Mohamed Bamba
0
#6
Arthur Avom
0
#7
Igor Silva
0
#8
Arsene Kouassi
0
#9
Bingourou Kamara
0
#10
Aiyegun Tosin
0
#11
Formose Mendy
0
#12
Darlin Yongwa
0
#13
Sambou Soumano
0
#14
Montassar Talbi
0
#15
Theo Le Bris
0
#16
Abdoulaye Faye
0
#17
Noah Cadiou
0
#18
Bamo Meite
0
#19
Yvon Mvogo
0
#20
Bamba Dieng
0
#21
Nathaniel Adjei
0
#22
Martin Bley
0
#23
Laurent Abergel
13
#24
Jean-Victor Makengo
20
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
No.
Player
Value
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
#5
Mohamed Bamba
0
#6
Arthur Avom
0
#7
Igor Silva
0
#8
Arsene Kouassi
0
#9
Bingourou Kamara
0
#10
Aiyegun Tosin
0
#11
Formose Mendy
0
#12
Darlin Yongwa
0
#13
Sambou Soumano
0
#14
Montassar Talbi
0
#15
Theo Le Bris
0
#16
Abdoulaye Faye
0
#17
Noah Cadiou
0
#18
Bamo Meite
0
#19
Yvon Mvogo
0
#20
Bamba Dieng
0
#21
Nathaniel Adjei
0
#22
Martin Bley
0
#23
Jean-Victor Makengo
37
#24
Laurent Abergel
55
#1
Jean-Victor Makengo
1.52
No.
Player
Value
#1
Jean-Victor Makengo
2
#2
Laurent Abergel
0
#3
Joel Mvuka
0
#4
Pablo Pagis
0
#5
Dermane Karim
0
#6
Panos Katseris
0
#7
Mohamed Bamba
0
#8
Arthur Avom
0
#9
Igor Silva
0
#10
Arsene Kouassi
0
#11
Bingourou Kamara
0
#12
Aiyegun Tosin
0
#13
Formose Mendy
0
#14
Darlin Yongwa
0
#15
Sambou Soumano
0
#16
Montassar Talbi
0
#17
Theo Le Bris
0
#18
Abdoulaye Faye
0
#19
Noah Cadiou
0
#20
Bamo Meite
0
#21
Yvon Mvogo
0
#22
Bamba Dieng
0
#23
Nathaniel Adjei
0
#24
Martin Bley
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.
Lorient: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Lorient consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Lorient`s solid, reliable contributions that are in line with the majority of players in his position.
#46
Lorient
80
Weak Stats
These are the areas where Lorient`s performance falls below the league average.
#76
Lorient
225
#77
FC St. Pauli
225
#78
Hellas Verona
225
#79
Girona FC
223
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 Lorient generates 3635.01 Expected Threat - sitting at 10, 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 Lorient concedes 369.92 Expected Threat against - ranking 6, 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 Lorient suffered 167 such losses - sitting at 8, highlighting which team is more vulnerable in possession under pressure and prone to dangerous turnovers. See Full Critical ball losses Ranking
Key Preformance Indicators
| Metric | Value |
|---|---|
| Expected Threat ⓘ Expected Threat (xT) measures how much a team’s chance of scoring changes when the ball is moved from one location on the pitch to another. The pitch is divided into zones, each with a value reflecting the probability of scoring if the ball is in that zone. Every on-ball action (pass, carry, dribble, sometimes reception) gets a value equal to the increase (or decrease) in the team’s scoring probability when the ball moves from the start zone to the end zone. Summing these changes across a match or season gives a player’s or team’s total xT contributed by their actions. | 5951.26 3635.01 |
| 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. | 338.06 369.92 |
| 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. | 184 167 |
| 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 982 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.95 1.13 |
Ratings and Scores
Compare Bayer 04 Leverkusen & Lorient`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 68.82 |
| 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 65.27 |
| 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 65.12 |
| Offensive interventions | 126.05 123.95 |
Goals & Assists
| Goals | 38 27 |
| Assists ⓘ Creating goals, playing the final pass. | 34 25 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 1 |
| Goals by head ⓘ Goals by head | 6 2 |
| Penalty goals ⓘ Penalty goals | 4 1 |
| Goals by freekick ⓘ Goals by freekick | 2 1 |
| Goals by foot | 26 23 |
| Shots on Goal | 175 158 |
| 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 8.6 |
Goals & Shots conceded
| Goals conceeded | 25 29 |
| Goals by head conceeded | 6 5 |
| Goals by foot conceeded | 15 20 |
| Shots on goal conceeded | 155 147 |
| Goals per 90 min conceeded | 1.32 1.45 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 4248 3489 |
| 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 2618 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 9052 5920 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 134 144 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 160 161 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 266 271 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 39 29 |
| 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. | 786 680 |
| 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 1721 |
| 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 3760 |
| 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 1306 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 97 75 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1888 1653 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1776 1230 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2994 1866 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1847 1235 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2119 1558 |
| Initiate dangerous attacks ⓘ Initiating dangerous attacks with the ball, play in advanced areas, penetrating the opposition defence. A deadly pass from a midfield to a the striker, who is then free in front of the goal, bypasses a certain amount of defenders. 78% of the teams with a better result in this metric won their games. | 1213 982 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.41 91.13 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 70.16 69.9 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.48 92.18 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 54.93 64.44 |
| 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 44.23 |
| 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 68.34 |
| 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 78.37 |
| 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 85.28 |
| 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 77 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.49 45.73 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 84.12 79.77 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 86.92 81.25 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 86.56 79.3 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 86.05 82.05 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 82.77 77.42 |
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 5230 |
| 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 1748 |
| 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. | 367 376 |
| 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" | 617 599 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 883 1091 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 646 593 |
| 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. | 376 368 |
| 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". | 507 454 |
| Total touches in phase Set Pieces | 743 744 |
| Total touches in phase Second ball | 1124 1053 |
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. | 184 167 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 639 576 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 57 62 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 179 203 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 334 343 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 28 23 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 32 16 |
| 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’ | 300 315 |
| 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 | 400 475 |
| 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 | 629 649 |
| 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’ | 414 390 |
| 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 89 |
| Ball losses total | 1824 1918 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2395 2479 |
| 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 | 184 181 |
| 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 | 666 769 |
| 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 | 832 785 |
| 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 | 316 302 |
| 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 80 |
Defensive
| Ground duels won ⓘ Won ground duel. | 531 604 |
| Ground duels lost ⓘ Lost ground duel. | 493 567 |
| Ariel duels won ⓘ Won aerial duel. | 203 214 |
| Ariel duels lost ⓘ Lost aerial duel. | 181 232 |
| 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. | 570 613 |
| 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. | 278 304 |
| 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. | 516 521 |
| 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. | 279 296 |
| Tackles | 1024 1171 |
| Clearances by foot | 371 373 |
| Ground duels total | 1024 1171 |
| Ground duels won % | 51.86 51.58 |
| Ground duels lost % | 48.14 48.42 |
| Ariel duels total | 384 446 |
| Ariel duels won % | 52.86 47.98 |
| Ariel duels lost % | 47.14 52.02 |
| Defensive stability ⓘ The ability to defend well | 439.9 488.2 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 681 705 |
| Succesful dribbles | 8396 6140 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 465 367 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 952 916 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1990 1478 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 653 531 |
| 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 | 703 621 |
| 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 1644 |
| 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 | 983 770 |
| 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 | 230 212 |
| 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 | 835 798 |
| 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 | 636 497 |
| 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 718 |
| 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 | 723 518 |
| 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 | 826 807 |
| 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 | 596 501 |
| 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 1307 |
| 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 | 784 575 |
| 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 | 183 172 |
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 30.63 |
| 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 30.63 |
| 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 1.77 |
| 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 3.29 |
| 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. | 0.95 1.13 |
| Open play Xg ⓘ Open play Xg value | 31.97 26.86 |
| Set piece Xg ⓘ Set piece Xg | 4 3.77 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.13 |
| Xg with foot ⓘ Xg with foot | 27.7 23.57 |
| 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 -3.63 |
| 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 -1.29 |
| 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 27.51 |
| 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 0.35 |
| 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 -0.77 |
| 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 2.42 |
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