Olympique Lyonnais vs Union Berlin: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Olympique Lyonnais or Union Berlin? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
France 
Ligue 1 
Germany 
Bundesliga 
Analyse Analyse Olympique Lyonnais vs. Union Berlin - Who Is Better?
Olympique Lyonnais has a 1vs1 Score of 76.73 while Union Berlin has a 1vs1 Score of 65.35, showing which team is performing better this season. View Olympique Lyonnais's Position in 1vs1 Best Team Ranking | View Union Berlin's Position in 1vs1 Best Team Ranking
Union Berlin has won 611 ground duels versus 544 for Olympique Lyonnais, with Union Berlin ranking 8 and Olympique Lyonnais ranking 17 in the league for ground duels won. See Full Ground duels won Ranking
Olympique Lyonnais has accumulated 27.36 expected goals against while Union Berlin faces 28.47, with Olympique Lyonnais ranking 5 and Union Berlin ranking 4 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 34 26 |
| Goals | 1.62 1.24 |
| Shot at goal number ⓘ Number of shots. | 264 260 |
| Shots on Goal | 194 162 |
| Goals conceeded | 19 33 |
| Goals conceeded | 0.9 1.57 |
| Matches won | 13 6 |
| Matches lost | 5 8 |
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 Olympique Lyonnais`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| LYO | UNI | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Olympique Lyonnais creates 14 clear goal-scoring opportunities compared to Union Berlin's 8 - highlighting their ability to fashion high-quality chances
Union Berlin records 98 shots that miss the target completely versus Olympique Lyonnais's 70 - showcasing their shooting accuracy variance
Olympique Lyonnais completes 1660 passes from the right flank while Union Berlin manages 1065 - exposing their right-sided distribution patterns
Compare Yourself
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Olympique Lyonnais’s and Union Berlin’s Total Squad Salary
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
12
#21
Corentin Tolisso
14
#22
Hans Hateboer
14
#23
Nicolas Tagliafico
20
#24
Clinton Mata
23
#25
Abner
27
#26
Tanner Tessmann
35
#27
Ainsley Maitland-Niles
37
#28
Malick Fofana
50
#1
Malick Fofana
2.5
#2
Tanner Tessmann
0.83
#3
Ainsley Maitland-Niles
0.79
#4
Corentin Tolisso
0.71
No.
Player
Value
#1
Malick Fofana
3
#2
Tanner Tessmann
1
#3
Ainsley Maitland-Niles
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
Salary Stats
#1
Janik Haberer
0
No.
Player
Value
#1
Janik Haberer
0
#2
Christopher Trimmel
0
#3
Tom Rothe
0
#4
Ilyas Ansah
0
#5
Robert Skov
0
#6
Josip Juranovic
0
#7
Alex Kral
0
#8
Derrick Kohn
0
#9
Frederik Ronnow
0
#10
Leopold Querfeld
0
#11
Andrej Ilic
0
#12
Aljoscha Kemlein
0
#13
Diogo Leite
0
#14
Livan Burcu
0
#15
Marin Ljubicic
0
#16
Andras Schafer
1
#17
Tim Skarke
1
#18
Stanley Nsoki
1
#19
Woo-yeong Jeong
1
#20
Danilho Doekhi
1
#21
Rani Khedira
2
#22
Oliver Burke
3
#1
Tom Rothe
0
#2
Ilyas Ansah
0
#3
Leopold Querfeld
0
#4
Andrej Ilic
0
No.
Player
Value
#1
Tom Rothe
0
#2
Ilyas Ansah
0
#3
Leopold Querfeld
0
#4
Andrej Ilic
0
#5
Aljoscha Kemlein
0
#6
Livan Burcu
0
#7
Marin Ljubicic
0
#8
Josip Juranovic
3
#9
Robert Skov
4
#10
Alex Kral
9
#11
Stanley Nsoki
9
#12
Danilho Doekhi
12
#13
Tim Skarke
12
#14
Diogo Leite
14
#15
Andras Schafer
15
#16
Christopher Trimmel
15
#17
Rani Khedira
16
#18
Derrick Kohn
17
#19
Frederik Ronnow
17
#20
Janik Haberer
19
#21
Woo-yeong Jeong
19
#22
Oliver Burke
21
#1
Tom Rothe
0
#2
Ilyas Ansah
0
#3
Leopold Querfeld
0
#4
Andrej Ilic
0
No.
Player
Value
#1
Tom Rothe
0
#2
Ilyas Ansah
0
#3
Leopold Querfeld
0
#4
Andrej Ilic
0
#5
Aljoscha Kemlein
0
#6
Livan Burcu
0
#7
Marin Ljubicic
0
#8
Alex Kral
6
#9
Tim Skarke
7
#10
Robert Skov
7
#11
Josip Juranovic
10
#12
Andras Schafer
14
#13
Stanley Nsoki
17
#14
Danilho Doekhi
18
#15
Frederik Ronnow
19
#16
Woo-yeong Jeong
22
#17
Rani Khedira
24
#18
Oliver Burke
26
#19
Diogo Leite
43
#20
Derrick Kohn
44
#21
Janik Haberer
51
#22
Christopher Trimmel
60
#1
Oliver Burke
1.93
#2
Woo-yeong Jeong
1.11
#3
Rani Khedira
0.97
#4
Danilho Doekhi
0.93
No.
Player
Value
#1
Oliver Burke
2
#2
Woo-yeong Jeong
1
#3
Rani Khedira
1
#4
Danilho Doekhi
1
#5
Andras Schafer
1
#6
Diogo Leite
1
#7
Tim Skarke
1
#8
Derrick Kohn
0
#9
Janik Haberer
0
#10
Stanley Nsoki
0
#11
Christopher Trimmel
0
#12
Alex Kral
0
#13
Josip Juranovic
0
#14
Robert Skov
0
#15
Tom Rothe
0
#16
Ilyas Ansah
0
#17
Frederik Ronnow
0
#18
Leopold Querfeld
0
#19
Andrej Ilic
0
#20
Aljoscha Kemlein
0
#21
Livan Burcu
0
#22
Marin Ljubicic
0
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.
Weak Stats
These are the areas where Olympique Lyonnais`s performance falls below the league average.
Union Berlin: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Union Berlin consistently performs at a high level, placing him near the top of the league.
#5
Union Berlin
147.86
Average Stats
These stats show Union Berlin`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Union Berlin`s performance falls below the league average.
#92
Union Berlin
285
#93
FC St. Pauli
281
#94
Juventus
278
#95
Getafe
276
Performance per season
Expected Threat & Involvement Analysis
Olympique Lyonnais has an Expected Threat of 4881.66 - ranking 5 and measuring their ability to advance the ball into dangerous positions, while Union Berlin generates 3161.99 Expected Threat - sitting at 18, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Olympique Lyonnais has an Expected Threat against of 387.98 - placing them 7 defensively, indicating how much dangerous ball progression they allow opponents, while Union Berlin concedes 430.15 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
Olympique Lyonnais recorded 143 Critical ball losses - ranking 1 in possession security, meaning they've given the ball away in trouble spots, while Union Berlin suffered 98 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. | 4881.66 3161.99 |
| 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. | 387.98 430.15 |
| 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. | 143 98 |
| 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. | 1110 941 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.14 1.2 |
Ratings and Scores
Compare Olympique Lyonnais & Union Berlin`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, | 76.73 65.35 |
| 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. | 75.81 61.74 |
| 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 | 67.66 62.21 |
| Offensive interventions | 119.57 147.86 |
Goals & Assists
| Goals | 34 26 |
| Assists ⓘ Creating goals, playing the final pass. | 31 21 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 2 |
| Goals by head ⓘ Goals by head | 5 5 |
| Penalty goals ⓘ Penalty goals | 1 1 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 26 20 |
| Shots on Goal | 194 162 |
| 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. | 9.58 7.26 |
Goals & Shots conceded
| Goals conceeded | 19 33 |
| Goals by head conceeded | 4 5 |
| Goals by foot conceeded | 15 23 |
| Shots on goal conceeded | 154 161 |
| Goals per 90 min conceeded | 0.9 1.57 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3709 2777 |
| 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 | 2953 2214 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6995 3678 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 185 108 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 136 226 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 330 292 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 40 33 |
| Total successful passes from own box ⓘ Pass that reaches the team-mate. Here specifically: A pass FROM the ‘own box’ to another area of the field. | 725 438 |
| 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. | 2007 1163 |
| 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. | 4471 2750 |
| 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. | 1456 952 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 92 69 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1660 1065 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1321 842 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2299 1383 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1530 852 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1941 1230 |
| 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. | 1110 941 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 92.54 87.55 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 71.98 60.67 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 94.56 78.92 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 52.63 50.77 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 38.86 45.29 |
| 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. | 70.39 55.16 |
| 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. | 82.42 68.33 |
| 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. | 87.15 75.32 |
| 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. | 76.83 64.19 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 49.46 42.33 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 82.11 68.45 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 84.81 71.84 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 82.58 67.93 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 84.63 71.97 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 76.75 66.4 |
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. | 6636 3005 |
| 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". | 1476 1408 |
| 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. | 426 474 |
| 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" | 664 1014 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 909 1025 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 646 726 |
| 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. | 483 655 |
| 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". | 489 727 |
| Total touches in phase Set Pieces | 909 1129 |
| Total touches in phase Second ball | 1153 1741 |
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. | 143 98 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 564 523 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 72 70 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 214 273 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 329 574 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 19 78 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 36 32 |
| 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’ | 305 356 |
| 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 | 428 539 |
| 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 | 659 901 |
| 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’ | 439 531 |
| 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’ | 94 94 |
| Ball losses total | 1925 2421 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2511 3105 |
| 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 | 215 197 |
| 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 | 661 762 |
| 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 | 881 1179 |
| 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 | 348 440 |
| 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 | 88 92 |
Defensive
| Ground duels won ⓘ Won ground duel. | 544 611 |
| Ground duels lost ⓘ Lost ground duel. | 563 628 |
| Ariel duels won ⓘ Won aerial duel. | 196 423 |
| Ariel duels lost ⓘ Lost aerial duel. | 233 415 |
| 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. | 606 683 |
| 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. | 308 367 |
| 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. | 502 760 |
| 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. | 302 325 |
| Tackles | 1107 1239 |
| Clearances by foot | 389 564 |
| Ground duels total | 1107 1239 |
| Ground duels won % | 49.14 49.31 |
| Ground duels lost % | 50.86 50.69 |
| Ariel duels total | 429 838 |
| Ariel duels won % | 45.69 50.48 |
| Ariel duels lost % | 54.31 49.52 |
| Defensive stability ⓘ The ability to defend well | 435.4 727.1 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 600 318 |
| Succesful dribbles | 7319 4308 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 375 285 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 898 620 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1593 1135 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 627 458 |
| 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 | 671 403 |
| 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 | 1696 1139 |
| 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 | 811 675 |
| 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 | 299 266 |
| 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 | 784 568 |
| 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 | 466 351 |
| 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 | 807 672 |
| 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 | 614 353 |
| 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 | 894 598 |
| 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 | 560 351 |
| 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 | 1438 988 |
| 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 | 653 605 |
| 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 | 234 228 |
xG
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 36.36 31.22 |
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 36.36 31.22 |
| 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) | 1.16 1.14 |
| 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. | 5.34 6.55 |
| 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 | 2.34 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.14 1.2 |
| Open play Xg ⓘ Open play Xg value | 33.45 28.46 |
| Set piece Xg ⓘ Set piece Xg | 2.91 2.76 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.12 |
| Xg with foot ⓘ Xg with foot | 28.11 21.91 |
| 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. | -4.36 -5.22 |
| 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. | -0.34 -1.55 |
| 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. | 34.02 28.88 |
| 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. | -0.57 -0.42 |
| 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. | -0.16 0.86 |
| 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. | 1.11 -2.3 |
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