Borussia Dortmund vs Olympique Lyonnais: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Borussia Dortmund or Olympique Lyonnais? 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 Borussia Dortmund vs. Olympique Lyonnais - Who Is Better?
Borussia Dortmund has a 1vs1 Score of 80.79 while Olympique Lyonnais has a 1vs1 Score of 77.55, showing which team is performing better this season. View Borussia Dortmund's Position in 1vs1 Best Team Ranking | View Olympique Lyonnais's Position in 1vs1 Best Team Ranking
Olympique Lyonnais has won 501 ground duels versus 650 for Borussia Dortmund, with Olympique Lyonnais ranking 18 and Borussia Dortmund ranking 3 in the league for ground duels won. See Full Ground duels won Ranking
Borussia Dortmund has accumulated 22.53 expected goals against while Olympique Lyonnais faces 25.65, with Borussia Dortmund ranking 2 and Olympique Lyonnais ranking 3 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 41 33 |
| Goals | 2.05 1.65 |
| Shot at goal number ⓘ Number of shots. | 249 255 |
| Shots on Goal | 173 189 |
| Goals conceeded | 19 19 |
| Goals conceeded | 0.95 0.95 |
| Matches won | 13 12 |
| Matches lost | 1 5 |
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 Borussia Dortmund`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| DOR | LYO | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Borussia Dortmund creates 6 clear goal-scoring opportunities compared to Olympique Lyonnais's 14 - highlighting their ability to fashion high-quality chances
Olympique Lyonnais records 66 shots that miss the target completely versus Borussia Dortmund's 76 - showcasing their shooting accuracy variance
Borussia Dortmund completes 1887 passes from the right flank while Olympique Lyonnais manages 1606 - exposing their right-sided distribution patterns
Compare Yourself
Borussia Dortmund Compare Borussia Dortmund
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Borussia Dortmund’s and Olympique Lyonnais’s Total Squad Salary
Salary Stats
#1
Salih Ozcan
0
No.
Player
Value
#1
Salih Ozcan
0
#2
Jobe Bellingham
0
#3
Filippo Mane
0
#4
Pascal Gross
0
#5
Gregor Kobel
0
#6
Daniel Svensson
0
#7
Aaron Anselmino
0
#8
Julian Ryerson
0
#9
Carney Chukwuemeka
0
#10
Cole Campbell
0
#11
Fabio Silva
0
#12
Niklas Sule
0
#13
Marcel Sabitzer
0
#14
Yan Couto
0
#15
Ramy Bensebaini
0
#16
Felix Nmecha
0
#17
Waldemar Anton
0
#18
Emre Can
0
#19
Nico Schlotterbeck
1
#20
Julian Brandt
1
#21
Serhou Guirassy
1
#22
Karim Adeyemi
1
#23
Maximilian Beier
2
#1
Jobe Bellingham
0
#2
Filippo Mane
0
#3
Daniel Svensson
0
#4
Aaron Anselmino
0
No.
Player
Value
#1
Jobe Bellingham
0
#2
Filippo Mane
0
#3
Daniel Svensson
0
#4
Aaron Anselmino
0
#5
Carney Chukwuemeka
0
#6
Cole Campbell
0
#7
Niklas Sule
1
#8
Emre Can
1
#9
Pascal Gross
1
#10
Marcel Sabitzer
1
#11
Ramy Bensebaini
2
#12
Salih Ozcan
2
#13
Serhou Guirassy
2
#14
Gregor Kobel
2
#15
Yan Couto
2
#16
Julian Brandt
2
#17
Julian Ryerson
3
#18
Felix Nmecha
3
#19
Nico Schlotterbeck
3
#20
Waldemar Anton
3
#21
Fabio Silva
3
#22
Karim Adeyemi
4
#23
Maximilian Beier
4
#1
Jobe Bellingham
0
#2
Filippo Mane
0
#3
Daniel Svensson
0
#4
Aaron Anselmino
0
No.
Player
Value
#1
Jobe Bellingham
0
#2
Filippo Mane
0
#3
Daniel Svensson
0
#4
Aaron Anselmino
0
#5
Carney Chukwuemeka
0
#6
Cole Campbell
0
#7
Salih Ozcan
0
#8
Gregor Kobel
1
#9
Niklas Sule
1
#10
Serhou Guirassy
3
#11
Fabio Silva
5
#12
Emre Can
5
#13
Marcel Sabitzer
7
#14
Karim Adeyemi
9
#15
Julian Brandt
10
#16
Felix Nmecha
13
#17
Pascal Gross
13
#18
Waldemar Anton
15
#19
Maximilian Beier
15
#20
Ramy Bensebaini
19
#21
Yan Couto
22
#22
Julian Ryerson
25
#23
Nico Schlotterbeck
27
#1
Maximilian Beier
1.11
#2
Serhou Guirassy
1.07
#3
Karim Adeyemi
0.53
#4
Julian Brandt
0.53
No.
Player
Value
#1
Maximilian Beier
1
#2
Serhou Guirassy
1
#3
Karim Adeyemi
1
#4
Julian Brandt
1
#5
Emre Can
0
#6
Nico Schlotterbeck
0
#7
Fabio Silva
0
#8
Waldemar Anton
0
#9
Felix Nmecha
0
#10
Ramy Bensebaini
0
#11
Pascal Gross
0
#12
Marcel Sabitzer
0
#13
Yan Couto
0
#14
Julian Ryerson
0
#15
Salih Ozcan
0
#16
Jobe Bellingham
0
#17
Filippo Mane
0
#18
Gregor Kobel
0
#19
Daniel Svensson
0
#20
Aaron Anselmino
0
#21
Carney Chukwuemeka
0
#22
Cole Campbell
0
#23
Niklas Sule
0
Salary Stats
#1
Sael Kumbedi
0
No.
Player
Value
#1
Sael Kumbedi
0
#2
Remy Descamps
0
#3
Khalis Merah
0
#4
Pavel Sulc
0
#5
Moussa Niakhate
0
#6
Tyler Morton
0
#7
Adam Karabec
0
#8
Clinton Mata
0
#9
Nicolas Tagliafico
0
#10
Afonso Moreira
0
#11
Ruben Kluivert
0
#12
Rachid Ghezzal
0
#13
Enzo Molebe
0
#14
Mathys de Carvalho
0
#15
Dominik Greif
0
#16
Martin Satriano
0
#17
Hans Hateboer
0
#18
Adil Hamdani
0
#19
Orel Mangala
0
#20
Endrick
0
#21
Remi Himbert
0
#22
Noah Nartey
0
#23
Ainsley Maitland-Niles
0
#24
Georges Mikautadze
0
#25
Tanner Tessmann
0
#26
Corentin Tolisso
0
#27
Abner
1
#28
Malick Fofana
2
#1
Sael Kumbedi
0
#2
Khalis Merah
0
#3
Pavel Sulc
0
#4
Tyler Morton
0
No.
Player
Value
#1
Sael Kumbedi
0
#2
Khalis Merah
0
#3
Pavel Sulc
0
#4
Tyler Morton
0
#5
Georges Mikautadze
0
#6
Adam Karabec
0
#7
Afonso Moreira
0
#8
Ruben Kluivert
0
#9
Rachid Ghezzal
0
#10
Enzo Molebe
0
#11
Mathys de Carvalho
0
#12
Martin Satriano
0
#13
Adil Hamdani
0
#14
Endrick
0
#15
Remi Himbert
0
#16
Noah Nartey
0
#17
Orel Mangala
0
#18
Remy Descamps
1
#19
Corentin Tolisso
3
#20
Moussa Niakhate
3
#21
Abner
4
#22
Nicolas Tagliafico
5
#23
Hans Hateboer
5
#24
Ainsley Maitland-Niles
5
#25
Malick Fofana
8
#26
Tanner Tessmann
8
#27
Clinton Mata
9
#28
Dominik Greif
9
#1
Sael Kumbedi
0
#2
Remy Descamps
0
#3
Khalis Merah
0
#4
Pavel Sulc
0
No.
Player
Value
#1
Sael Kumbedi
0
#2
Remy Descamps
0
#3
Khalis Merah
0
#4
Pavel Sulc
0
#5
Tyler Morton
0
#6
Adam Karabec
0
#7
Afonso Moreira
0
#8
Ruben Kluivert
0
#9
Rachid Ghezzal
0
#10
Enzo Molebe
0
#11
Mathys de Carvalho
0
#12
Martin Satriano
0
#13
Adil Hamdani
0
#14
Orel Mangala
0
#15
Endrick
0
#16
Remi Himbert
0
#17
Noah Nartey
0
#18
Georges Mikautadze
2
#19
Dominik Greif
4
#20
Moussa Niakhate
11
#21
Corentin Tolisso
14
#22
Hans Hateboer
14
#23
Nicolas Tagliafico
20
#24
Clinton Mata
22
#25
Abner
26
#26
Tanner Tessmann
34
#27
Ainsley Maitland-Niles
37
#28
Malick Fofana
50
#1
Malick Fofana
2.5
#2
Ainsley Maitland-Niles
0.75
#3
Tanner Tessmann
0.75
#4
Corentin Tolisso
0.71
No.
Player
Value
#1
Malick Fofana
3
#2
Ainsley Maitland-Niles
1
#3
Tanner Tessmann
1
#4
Corentin Tolisso
1
#5
Abner
1
#6
Georges Mikautadze
1
#7
Hans Hateboer
1
#8
Nicolas Tagliafico
0
#9
Moussa Niakhate
0
#10
Clinton Mata
0
#11
Orel Mangala
0
#12
Sael Kumbedi
0
#13
Remy Descamps
0
#14
Khalis Merah
0
#15
Pavel Sulc
0
#16
Tyler Morton
0
#17
Adam Karabec
0
#18
Afonso Moreira
0
#19
Ruben Kluivert
0
#20
Rachid Ghezzal
0
#21
Enzo Molebe
0
#22
Mathys de Carvalho
0
#23
Dominik Greif
0
#24
Martin Satriano
0
#25
Adil Hamdani
0
#26
Endrick
0
#27
Remi Himbert
0
#28
Noah Nartey
0
Borussia Dortmund: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Borussia Dortmund is among the very best, setting the standard for the league.
#1
Borussia Dortmund
59.71
#2
AC Milan
57.01
#3
Inter Milan
56.55
#4
LOSC Lille
56.18
Average Stats
These stats show Borussia Dortmund`s solid, reliable contributions that are in line with the majority of players in his position.
#39
Borussia Dortmund
139
#40
Nice
138
#41
Stade Rennais
137
#42
Everton FC
135
Weak Stats
These are the areas where Borussia Dortmund`s performance falls below the league average.
Olympique Lyonnais: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Olympique Lyonnais`s solid, reliable contributions that are in line with the majority of players in his position.
#38
Olympique Lyonnais
858
#39
Atalanta
846
#40
ACF Fiorentina
843
#41
Tottenham Hotspur
839
Weak Stats
These are the areas where Olympique Lyonnais`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Borussia Dortmund has an Expected Threat of 5427.49 - ranking 3 and measuring their ability to advance the ball into dangerous positions, while Olympique Lyonnais generates 4566.94 Expected Threat - sitting at 5, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Borussia Dortmund has an Expected Threat against of 362.48 - placing them 16 defensively, indicating how much dangerous ball progression they allow opponents, while Olympique Lyonnais concedes 333.74 Expected Threat against - ranking 13, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Borussia Dortmund recorded 153 Critical ball losses - ranking 10 in possession security, meaning they've given the ball away in trouble spots, while Olympique Lyonnais suffered 138 such losses - sitting at 1, 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. | 5427.49 4566.94 |
| 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. | 362.48 333.74 |
| 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. | 153 138 |
| 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. | 1251 1068 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.82 1.14 |
Ratings and Scores
Compare Borussia Dortmund & Olympique Lyonnais`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, | 80.79 77.55 |
| 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. | 77.9 76.47 |
| 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 | 73.99 69.72 |
| Offensive interventions | 139.2 118.55 |
Goals & Assists
| Goals | 41 33 |
| Assists ⓘ Creating goals, playing the final pass. | 36 30 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 1 |
| Goals by head ⓘ Goals by head | 6 5 |
| Penalty goals ⓘ Penalty goals | 4 1 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 31 25 |
| Shots on Goal | 173 189 |
| 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. | 12.62 9.66 |
Goals & Shots conceded
| Goals conceeded | 19 19 |
| Goals by head conceeded | 4 4 |
| Goals by foot conceeded | 12 15 |
| Shots on goal conceeded | 138 144 |
| Goals per 90 min conceeded | 0.95 0.95 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3574 3543 |
| 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 | 2811 2824 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7067 6734 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 139 178 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 161 129 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 297 313 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 26 37 |
| 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. | 582 701 |
| 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. | 1457 1917 |
| 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. | 4827 4304 |
| 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. | 1802 1400 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 123 91 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1887 1606 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1478 1248 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2495 2218 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1348 1468 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1583 1873 |
| 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. | 1251 1068 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.14 92.65 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 68.47 72.36 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 82.27 94.56 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 46.43 50.68 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 42.04 39.33 |
| 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. | 65.91 71.24 |
| 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. | 78.12 82.49 |
| 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. | 85.51 87.37 |
| 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. | 76.94 77.01 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 59.71 50 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 77.9 82.33 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.65 84.81 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 81.51 82.79 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 82.07 84.9 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 78.76 77.25 |
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. | 6504 6379 |
| 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". | 1542 1426 |
| 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. | 391 398 |
| 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" | 786 637 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 990 854 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 797 614 |
| 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. | 508 463 |
| Defensive touches in phase Second ball ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case after a "second ball". | 511 456 |
| Total touches in phase Set Pieces | 899 861 |
| Total touches in phase Second ball | 1297 1093 |
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. | 153 138 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 687 534 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 64 68 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 222 199 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 389 313 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 64 18 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 30 36 |
| 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’ | 301 283 |
| 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 | 408 407 |
| 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 | 818 622 |
| 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’ | 540 418 |
| 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’ | 83 91 |
| Ball losses total | 2150 1821 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2784 2371 |
| 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 | 161 201 |
| 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 | 638 621 |
| 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 | 1107 836 |
| 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 | 399 329 |
| 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 | 87 84 |
Defensive
| Ground duels won ⓘ Won ground duel. | 650 501 |
| Ground duels lost ⓘ Lost ground duel. | 668 516 |
| Ariel duels won ⓘ Won aerial duel. | 257 187 |
| Ariel duels lost ⓘ Lost aerial duel. | 232 217 |
| 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. | 652 575 |
| 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. | 321 287 |
| 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. | 617 475 |
| 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. | 307 289 |
| Tackles | 1318 1017 |
| Clearances by foot | 421 364 |
| Ground duels total | 1318 1017 |
| Ground duels won % | 49.32 49.26 |
| Ground duels lost % | 50.68 50.74 |
| Ariel duels total | 489 404 |
| Ariel duels won % | 52.56 46.29 |
| Ariel duels lost % | 47.44 53.71 |
| Defensive stability ⓘ The ability to defend well | 587.2 406.9 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 597 577 |
| Succesful dribbles | 7248 7039 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 288 360 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 694 859 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1708 1524 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 683 602 |
| 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 | 431 646 |
| 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 | 1657 1614 |
| 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 | 962 781 |
| 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 | 289 287 |
| 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 | 839 754 |
| 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 | 508 439 |
| 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 | 847 778 |
| 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 | 520 584 |
| 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 | 711 858 |
| 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 | 344 539 |
| 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 | 1389 1364 |
| 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 | 784 629 |
| 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 | 234 227 |
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. | 33.79 35.39 |
| 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. | 33.79 35.39 |
| 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) | 1.42 1.13 |
| Xg with head ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a header. | 5.2 5.34 |
| 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 | 4.68 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.82 1.14 |
| Open play Xg ⓘ Open play Xg value | 28.79 32.49 |
| Set piece Xg ⓘ Set piece Xg | 5 2.91 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.14 |
| Xg with foot ⓘ Xg with foot | 23.59 27.14 |
| 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. | 7.21 -4.39 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.8 -0.34 |
| 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. | 29.11 33.06 |
| Goals minus Xg free-kick ⓘ Free kick goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.33 -0.57 |
| 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. | 0.58 -0.13 |
| 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. | 2.54 1.26 |
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