Werder Bremen vs Atletico Madrid: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Werder Bremen or Atletico Madrid? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
Spain 
LaLiga 
Analyse Analyse Werder Bremen vs. Atletico Madrid - Who Is Better?
Werder Bremen has a 1vs1 Score of 56.41 while Atletico Madrid has a 1vs1 Score of 79.98, showing which team is performing better this season. View Werder Bremen's Position in 1vs1 Best Team Ranking | View Atletico Madrid's Position in 1vs1 Best Team Ranking
Atletico Madrid has won 735 ground duels versus 662 for Werder Bremen, with Atletico Madrid ranking 6 and Werder Bremen ranking 4 in the league for ground duels won. See Full Ground duels won Ranking
Werder Bremen has accumulated 35.16 expected goals against while Atletico Madrid faces 25.52, with Werder Bremen ranking 12 and Atletico Madrid ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 22 38 |
| Goals | 1.05 1.65 |
| Shot at goal number ⓘ Number of shots. | 282 293 |
| Shots on Goal | 194 202 |
| Goals conceeded | 38 18 |
| Goals conceeded | 1.81 0.78 |
| Matches won | 4 13 |
| Matches lost | 10 4 |
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 Werder Bremen`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| WER | MAD | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Werder Bremen creates 4 clear goal-scoring opportunities compared to Atletico Madrid's 4 - highlighting their ability to fashion high-quality chances
Atletico Madrid records 91 shots that miss the target completely versus Werder Bremen's 88 - showcasing their shooting accuracy variance
Werder Bremen completes 1721 passes from the right flank while Atletico Madrid manages 2637 - exposing their right-sided distribution patterns
Compare Yourself
Werder Bremen Compare Werder Bremen
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Werder Bremen’s and Atletico Madrid’s Total Squad Salary
Salary Stats
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Leonardo Bittencourt
0
#4
Niklas Stark
0
No.
Player
Value
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Leonardo Bittencourt
0
#4
Niklas Stark
0
#5
Karim Coulibaly
0
#6
Patrice Covic
0
#7
Felix Agu
0
#8
Isak Hansen-Aaroen
0
#9
Senne Lynen
0
#10
Marco Grull
0
#11
Julian Malatini
0
#12
Skelly Alvero
0
#13
Yukinari Sugawara
0
#14
Isaac Schmidt
0
#15
Jens Stage
0
#16
Cameron Puertas
0
#17
Victor Boniface
0
#18
Karl Hein
0
#19
Amos Pieper
0
#20
Jovan Milosevic
0
#21
Olivier Deman
0
#22
Marco Friedl
0
#23
Samuel Mbangula
1
#24
Romano Schmid
2
#25
Justin Njinmah
3
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
No.
Player
Value
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
#5
Isak Hansen-Aaroen
0
#6
Marco Grull
0
#7
Julian Malatini
0
#8
Skelly Alvero
0
#9
Isaac Schmidt
0
#10
Jens Stage
0
#11
Cameron Puertas
0
#12
Karl Hein
0
#13
Jovan Milosevic
0
#14
Olivier Deman
0
#15
Niklas Stark
5
#16
Leonardo Bittencourt
8
#17
Victor Boniface
8
#18
Felix Agu
8
#19
Marco Friedl
11
#20
Senne Lynen
14
#21
Yukinari Sugawara
14
#22
Samuel Mbangula
17
#23
Amos Pieper
17
#24
Romano Schmid
29
#25
Justin Njinmah
32
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
No.
Player
Value
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
#5
Isak Hansen-Aaroen
0
#6
Marco Grull
0
#7
Julian Malatini
0
#8
Skelly Alvero
0
#9
Isaac Schmidt
0
#10
Jens Stage
0
#11
Cameron Puertas
0
#12
Karl Hein
0
#13
Jovan Milosevic
0
#14
Olivier Deman
0
#15
Niklas Stark
2
#16
Leonardo Bittencourt
6
#17
Victor Boniface
8
#18
Felix Agu
18
#19
Samuel Mbangula
24
#20
Justin Njinmah
29
#21
Marco Friedl
30
#22
Amos Pieper
33
#23
Senne Lynen
36
#24
Yukinari Sugawara
64
#25
Romano Schmid
127
#1
Justin Njinmah
3.86
#2
Romano Schmid
3.41
#3
Victor Boniface
0.64
#4
Samuel Mbangula
0.63
No.
Player
Value
#1
Justin Njinmah
4
#2
Romano Schmid
3
#3
Victor Boniface
1
#4
Samuel Mbangula
1
#5
Yukinari Sugawara
1
#6
Senne Lynen
0
#7
Amos Pieper
0
#8
Marco Friedl
0
#9
Niklas Stark
0
#10
Leonardo Bittencourt
0
#11
Felix Agu
0
#12
Mio Backhaus
0
#13
Keke Topp
0
#14
Karim Coulibaly
0
#15
Patrice Covic
0
#16
Isak Hansen-Aaroen
0
#17
Marco Grull
0
#18
Julian Malatini
0
#19
Skelly Alvero
0
#20
Isaac Schmidt
0
#21
Jens Stage
0
#22
Cameron Puertas
0
#23
Karl Hein
0
#24
Jovan Milosevic
0
#25
Olivier Deman
0
Salary Stats
#1
Giuliano Simeone
0
#2
Giacomo Raspadori
0
#3
David Hancko
0
#4
Thiago Almada
0
No.
Player
Value
#1
Giuliano Simeone
0
#2
Giacomo Raspadori
0
#3
David Hancko
0
#4
Thiago Almada
0
#5
Matteo Ruggeri
0
#6
Jan Oblak
0
#7
Johnny Cardoso
0
#8
Marcos Llorente
0
#9
Nahuel Molina
0
#10
Javi Galan
0
#11
Clement Lenglet
0
#12
Marc Pubill
0
#13
Jose Maria Gimenez
0
#14
Juan Musso
0
#15
Jano Monserrate
0
#16
Obed Vargas
0
#17
Rodrigo Mendoza
0
#18
Ademola Lookman
0
#19
Pablo Barrios
0
#20
Robin Le Normand
0
#21
Conor Gallagher
0
#22
Alex Baena
0
#23
Nico Gonzalez
0
#24
Koke
0
#25
Antoine Griezmann
1
#26
Julian Alvarez
1
#27
Alexander Sorloth
1
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
No.
Player
Value
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
#5
Marc Pubill
0
#6
Jose Maria Gimenez
0
#7
Juan Musso
0
#8
Jano Monserrate
0
#9
Obed Vargas
0
#10
Rodrigo Mendoza
0
#11
Ademola Lookman
0
#12
Jan Oblak
1
#13
Clement Lenglet
1
#14
Alex Baena
1
#15
Giacomo Raspadori
1
#16
Julian Alvarez
1
#17
Marcos Llorente
2
#18
Conor Gallagher
2
#19
Antoine Griezmann
2
#20
Javi Galan
2
#21
Robin Le Normand
2
#22
Alexander Sorloth
2
#23
Koke
3
#24
Pablo Barrios
3
#25
Nico Gonzalez
3
#26
Nahuel Molina
3
#27
Matteo Ruggeri
6
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
No.
Player
Value
#1
Giuliano Simeone
0
#2
David Hancko
0
#3
Thiago Almada
0
#4
Johnny Cardoso
0
#5
Marc Pubill
0
#6
Jose Maria Gimenez
0
#7
Jano Monserrate
0
#8
Obed Vargas
0
#9
Rodrigo Mendoza
0
#10
Jan Oblak
0
#11
Juan Musso
0
#12
Ademola Lookman
1
#13
Giacomo Raspadori
2
#14
Javi Galan
3
#15
Alexander Sorloth
3
#16
Conor Gallagher
4
#17
Robin Le Normand
5
#18
Alex Baena
8
#19
Antoine Griezmann
8
#20
Clement Lenglet
9
#21
Julian Alvarez
10
#22
Nico Gonzalez
14
#23
Nahuel Molina
15
#24
Marcos Llorente
18
#25
Koke
19
#26
Pablo Barrios
25
#27
Matteo Ruggeri
63
#1
Alexander Sorloth
0.95
#2
Nico Gonzalez
0.7
#3
Julian Alvarez
0.57
#4
Antoine Griezmann
0.47
No.
Player
Value
#1
Alexander Sorloth
1
#2
Nico Gonzalez
1
#3
Julian Alvarez
1
#4
Antoine Griezmann
0
#5
Pablo Barrios
0
#6
Marcos Llorente
0
#7
Conor Gallagher
0
#8
Giacomo Raspadori
0
#9
Alex Baena
0
#10
Koke
0
#11
Matteo Ruggeri
0
#12
Robin Le Normand
0
#13
Ademola Lookman
0
#14
Clement Lenglet
0
#15
Nahuel Molina
0
#16
Giuliano Simeone
0
#17
David Hancko
0
#18
Thiago Almada
0
#19
Jan Oblak
0
#20
Johnny Cardoso
0
#21
Javi Galan
0
#22
Marc Pubill
0
#23
Jose Maria Gimenez
0
#24
Juan Musso
0
#25
Jano Monserrate
0
#26
Obed Vargas
0
#27
Rodrigo Mendoza
0
Werder Bremen: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Werder Bremen consistently performs at a high level, placing him near the top of the league.
#2
Werder Bremen
3.8
#3
Chelsea
3.53
#4
Real Betis
3.3
#5
Genua CFC
2.64
Average Stats
These stats show Werder Bremen`s solid, reliable contributions that are in line with the majority of players in his position.
#52
Werder Bremen
616
#53
Paris FC
609
#54
Auxerre
606
#55
Leeds United
603
Weak Stats
These are the areas where Werder Bremen`s performance falls below the league average.
Atletico Madrid: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Atletico Madrid is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Atletico Madrid consistently performs at a high level, placing him near the top of the league.
#2
Atletico Madrid
1269
#3
Bayern Munich
1184
#4
AS Roma
1143
#5
Paris Saint-Germain
1141
Average Stats
These stats show Atletico Madrid`s solid, reliable contributions that are in line with the majority of players in his position.
Performance per season
Expected Threat & Involvement Analysis
Werder Bremen has an Expected Threat of 4977.13 - ranking 7 and measuring their ability to advance the ball into dangerous positions, while Atletico Madrid generates 6619.4 Expected Threat - sitting at 3, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Werder Bremen has an Expected Threat against of 439.44 - placing them 10 defensively, indicating how much dangerous ball progression they allow opponents, while Atletico Madrid concedes 318.32 Expected Threat against - ranking 18, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Werder Bremen recorded 235 Critical ball losses - ranking 18 in possession security, meaning they've given the ball away in trouble spots, while Atletico Madrid suffered 171 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. | 4977.13 6619.4 |
| 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. | 439.44 318.32 |
| 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. | 235 171 |
| 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. | 1125 1664 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.17 1.09 |
Ratings and Scores
Compare Werder Bremen & Atletico Madrid`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, | 56.41 79.98 |
| 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. | 55.01 88.25 |
| 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 | 57.57 65.92 |
| Offensive interventions | 141.62 125.83 |
Goals & Assists
| Goals | 22 38 |
| Assists ⓘ Creating goals, playing the final pass. | 21 32 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 2 |
| Goals by head ⓘ Goals by head | 3 5 |
| Penalty goals ⓘ Penalty goals | 2 2 |
| Goals by freekick ⓘ Goals by freekick | 0 2 |
| Goals by foot | 17 25 |
| Shots on Goal | 194 202 |
| 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. | 5.95 8.85 |
Goals & Shots conceded
| Goals conceeded | 38 18 |
| Goals by head conceeded | 4 3 |
| Goals by foot conceeded | 31 14 |
| Shots on goal conceeded | 198 133 |
| Goals per 90 min conceeded | 1.81 0.78 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3727 4688 |
| 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 | 3037 3728 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6838 8608 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 152 175 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 185 177 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 369 335 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 38 60 |
| 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. | 856 716 |
| 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. | 1973 2136 |
| 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. | 4343 5326 |
| 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. | 1538 2325 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 103 132 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1721 2637 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1387 1778 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2435 2458 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1424 1687 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1846 2075 |
| 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. | 1125 1664 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.69 92.63 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 60.8 77.09 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 92.02 86.12 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 53.52 54.05 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 43.02 46.21 |
| 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. | 72.36 69.05 |
| 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. | 78.29 83.83 |
| 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. | 84.04 87.14 |
| 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. | 75.17 80.09 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 53.09 48.18 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 78.89 80.4 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 80.27 83.68 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.79 83.01 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 80.59 83.51 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 76.08 82.74 |
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. | 6306 7685 |
| 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". | 1716 2037 |
| 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. | 500 510 |
| 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" | 819 914 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 956 1010 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 873 795 |
| 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. | 570 512 |
| Defensive touches in phase Second ball ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case after a "second ball". | 596 603 |
| Total touches in phase Set Pieces | 1070 1022 |
| Total touches in phase Second ball | 1415 1517 |
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. | 235 171 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 702 685 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 98 52 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 245 206 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 399 443 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 32 54 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 33 51 |
| 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’ | 327 321 |
| 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 | 547 412 |
| 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 | 825 786 |
| 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’ | 508 578 |
| 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’ | 91 142 |
| Ball losses total | 2298 2239 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2974 2894 |
| 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 | 231 168 |
| 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 | 796 775 |
| 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 | 1081 1089 |
| 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 | 403 428 |
| 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 | 59 86 |
Defensive
| Ground duels won ⓘ Won ground duel. | 662 735 |
| Ground duels lost ⓘ Lost ground duel. | 694 756 |
| Ariel duels won ⓘ Won aerial duel. | 229 328 |
| Ariel duels lost ⓘ Lost aerial duel. | 225 277 |
| 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. | 672 653 |
| Ground duel ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. In this case a ground duel. | 316 343 |
| 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. | 644 626 |
| 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. | 373 360 |
| Tackles | 1356 1491 |
| Clearances by foot | 472 418 |
| Ground duels total | 1356 1491 |
| Ground duels won % | 48.82 49.3 |
| Ground duels lost % | 51.18 50.7 |
| Ariel duels total | 454 605 |
| Ariel duels won % | 50.44 54.21 |
| Ariel duels lost % | 49.56 45.79 |
| Defensive stability ⓘ The ability to defend well | 432 639.5 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 547 801 |
| Succesful dribbles | 7307 8786 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 405 377 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 957 1036 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1572 2114 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 616 955 |
| 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 | 640 676 |
| 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 | 1724 2108 |
| 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 | 861 1296 |
| 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 | 264 368 |
| 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 | 879 1269 |
| 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 | 509 718 |
| 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 | 853 919 |
| 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 | 539 677 |
| 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 | 816 961 |
| 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 | 534 569 |
| 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 | 1487 1768 |
| 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 | 709 1014 |
| 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 | 227 306 |
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. | 25.75 36.98 |
| 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. | 25.75 36.98 |
| 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) | 1.87 1.48 |
| 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. | 3.91 7.12 |
| 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. | 1.17 1.09 |
| Open play Xg ⓘ Open play Xg value | 22.76 34.19 |
| Set piece Xg ⓘ Set piece Xg | 3 2.79 |
| Xg average per shot ⓘ Xg average per shot | 0.09 0.13 |
| Xg with foot ⓘ Xg with foot | 18.84 27.07 |
| 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. | -3.75 -2.98 |
| 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. | -0.91 -2.12 |
| 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. | 23.41 34.64 |
| 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. | -0.66 1.55 |
| 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. | -1.87 0.52 |
| 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. | 3.8 -1.16 |
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