Koln vs Atletico Madrid: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Koln 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 Koln vs. Atletico Madrid - Who Is Better?
Koln has a 1vs1 Score of 63.08 while Atletico Madrid has a 1vs1 Score of 81.41, showing which team is performing better this season. View Koln's Position in 1vs1 Best Team Ranking | View Atletico Madrid's Position in 1vs1 Best Team Ranking
Atletico Madrid has won 702 ground duels versus 515 for Koln, with Atletico Madrid ranking 9 and Koln ranking 17 in the league for ground duels won. See Full Ground duels won Ranking
Koln has accumulated 34.54 expected goals against while Atletico Madrid faces 24.82, with Koln ranking 13 and Atletico Madrid ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 29 38 |
| Goals | 1.45 1.73 |
| Shot at goal number ⓘ Number of shots. | 263 283 |
| Shots on Goal | 177 195 |
| Goals conceeded | 32 17 |
| Goals conceeded | 1.6 0.77 |
| Matches won | 6 13 |
| Matches lost | 9 3 |
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 Koln`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| KOL | MAD | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Koln creates 6 clear goal-scoring opportunities compared to Atletico Madrid's 4 - highlighting their ability to fashion high-quality chances
Atletico Madrid records 88 shots that miss the target completely versus Koln's 86 - showcasing their shooting accuracy variance
Koln completes 1118 passes from the right flank while Atletico Madrid manages 2535 - exposing their right-sided distribution patterns
Compare Yourself
Koln Compare Koln
Search for a team Other Comparisons
Koln’s and Atletico Madrid’s Total Squad Salary
Salary Stats
#1
Timo Hubers
0
No.
Player
Value
#1
Timo Hubers
0
#2
Marvin Schwabe
0
#3
Said El Mala
0
#4
Ragnar Ache
0
#5
Tom Krauss
0
#6
Kristoffer Lund
0
#7
Isak Johannesson
0
#8
Eric Martel
0
#9
Joel Schmied
0
#10
Sebastian Sebulonsen
0
#11
Cenk Ozkacar
0
#12
Denis Huseinbasic
0
#13
Jusuf Gazibegovic
0
#14
Rav van den Berg
0
#15
Alessio Castro-Montes
0
#16
Dominique Heintz
0
#17
Jahmai Simpson-Pusey
0
#18
Youssoupha Niang
0
#19
Fynn Schenten
0
#20
Florian Kainz
1
#21
Luca Waldschmidt
1
#22
Linton Maina
1
#23
Jan Thielmann
2
#24
Marius Bulter
2
#25
Jakub Kaminski
4
#1
Said El Mala
0
#2
Ragnar Ache
0
#3
Kristoffer Lund
0
#4
Isak Johannesson
0
No.
Player
Value
#1
Said El Mala
0
#2
Ragnar Ache
0
#3
Kristoffer Lund
0
#4
Isak Johannesson
0
#5
Eric Martel
0
#6
Joel Schmied
0
#7
Sebastian Sebulonsen
0
#8
Cenk Ozkacar
0
#9
Denis Huseinbasic
0
#10
Jusuf Gazibegovic
0
#11
Rav van den Berg
0
#12
Alessio Castro-Montes
0
#13
Jahmai Simpson-Pusey
0
#14
Youssoupha Niang
0
#15
Fynn Schenten
0
#16
Dominique Heintz
8
#17
Luca Waldschmidt
9
#18
Timo Hubers
10
#19
Florian Kainz
13
#20
Linton Maina
15
#21
Tom Krauss
15
#22
Jan Thielmann
23
#23
Marius Bulter
23
#24
Marvin Schwabe
27
#25
Jakub Kaminski
28
#1
Said El Mala
0
#2
Ragnar Ache
0
#3
Kristoffer Lund
0
#4
Isak Johannesson
0
No.
Player
Value
#1
Said El Mala
0
#2
Ragnar Ache
0
#3
Kristoffer Lund
0
#4
Isak Johannesson
0
#5
Eric Martel
0
#6
Joel Schmied
0
#7
Sebastian Sebulonsen
0
#8
Cenk Ozkacar
0
#9
Denis Huseinbasic
0
#10
Jusuf Gazibegovic
0
#11
Rav van den Berg
0
#12
Alessio Castro-Montes
0
#13
Jahmai Simpson-Pusey
0
#14
Youssoupha Niang
0
#15
Fynn Schenten
0
#16
Luca Waldschmidt
6
#17
Timo Hubers
12
#18
Dominique Heintz
14
#19
Florian Kainz
24
#20
Linton Maina
26
#21
Marvin Schwabe
30
#22
Jan Thielmann
37
#23
Marius Bulter
37
#24
Tom Krauss
41
#25
Jakub Kaminski
82
#1
Jakub Kaminski
2.67
#2
Marius Bulter
2.56
#3
Jan Thielmann
1.3
#4
Luca Waldschmidt
1.17
No.
Player
Value
#1
Jakub Kaminski
3
#2
Marius Bulter
3
#3
Jan Thielmann
1
#4
Luca Waldschmidt
1
#5
Linton Maina
1
#6
Florian Kainz
1
#7
Tom Krauss
0
#8
Timo Hubers
0
#9
Marvin Schwabe
0
#10
Said El Mala
0
#11
Ragnar Ache
0
#12
Kristoffer Lund
0
#13
Isak Johannesson
0
#14
Eric Martel
0
#15
Joel Schmied
0
#16
Sebastian Sebulonsen
0
#17
Cenk Ozkacar
0
#18
Denis Huseinbasic
0
#19
Jusuf Gazibegovic
0
#20
Rav van den Berg
0
#21
Alessio Castro-Montes
0
#22
Dominique Heintz
0
#23
Jahmai Simpson-Pusey
0
#24
Youssoupha Niang
0
#25
Fynn Schenten
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
Pablo Barrios
0
#17
Robin Le Normand
0
#18
Conor Gallagher
0
#19
Alex Baena
0
#20
Nico Gonzalez
0
#21
Koke
0
#22
Antoine Griezmann
1
#23
Julian Alvarez
1
#24
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
Jan Oblak
1
#10
Alex Baena
1
#11
Clement Lenglet
1
#12
Julian Alvarez
1
#13
Giacomo Raspadori
1
#14
Marcos Llorente
1
#15
Antoine Griezmann
2
#16
Conor Gallagher
2
#17
Robin Le Normand
2
#18
Javi Galan
2
#19
Alexander Sorloth
2
#20
Koke
2
#21
Pablo Barrios
3
#22
Nico Gonzalez
3
#23
Nahuel Molina
3
#24
Matteo Ruggeri
5
#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
Jan Oblak
0
#9
Juan Musso
0
#10
Giacomo Raspadori
2
#11
Javi Galan
3
#12
Alexander Sorloth
3
#13
Conor Gallagher
4
#14
Robin Le Normand
4
#15
Alex Baena
7
#16
Antoine Griezmann
8
#17
Clement Lenglet
9
#18
Julian Alvarez
10
#19
Nico Gonzalez
14
#20
Nahuel Molina
15
#21
Marcos Llorente
17
#22
Koke
17
#23
Pablo Barrios
25
#24
Matteo Ruggeri
58
#1
Alexander Sorloth
0.93
#2
Nico Gonzalez
0.7
#3
Julian Alvarez
0.56
#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
Clement Lenglet
0
#14
Nahuel Molina
0
#15
Giuliano Simeone
0
#16
David Hancko
0
#17
Thiago Almada
0
#18
Jan Oblak
0
#19
Johnny Cardoso
0
#20
Javi Galan
0
#21
Marc Pubill
0
#22
Jose Maria Gimenez
0
#23
Juan Musso
0
#24
Jano Monserrate
0
Koln: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Koln`s solid, reliable contributions that are in line with the majority of players in his position.
#58
Koln
4.69
#59
Osasuna
4.67
#60
Torino FC
4.61
#61
RC Strasbourg
4.58
Weak Stats
These are the areas where Koln`s performance falls below the league average.
#81
Koln
698
#82
Levante UD
687
#83
Brest
681
#84
Angers SCO
665
#81
Koln
477
#82
Paris FC
469
#83
Nice
465
#84
Girona FC
462
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
1238
#3
AS Roma
1143
#4
Bayern Munich
1142
#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.
#27
Atletico Madrid
908
#28
Liverpool FC
907
#29
Lens
903
#30
Leeds United
900
Weak Stats
These are the areas where Atletico Madrid`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Koln has an Expected Threat of 4185.27 - ranking 9 and measuring their ability to advance the ball into dangerous positions, while Atletico Madrid generates 5939.42 Expected Threat - sitting at 3, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Koln has an Expected Threat against of 550.07 - placing them 3 defensively, indicating how much dangerous ball progression they allow opponents, while Atletico Madrid concedes 294.33 Expected Threat against - ranking 20, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Koln recorded 133 Critical ball losses - ranking 3 in possession security, meaning they've given the ball away in trouble spots, while Atletico Madrid suffered 160 such losses - sitting at 6, 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. | 4185.27 5939.42 |
| 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. | 550.07 294.33 |
| 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. | 133 160 |
| 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. | 957 1575 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.09 1.07 |
Ratings and Scores
Compare Koln & 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, | 63.08 81.41 |
| 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. | 57.74 90.15 |
| 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 | 65.37 68.37 |
| Offensive interventions | 138.85 125.95 |
Goals & Assists
| Goals | 29 38 |
| Assists ⓘ Creating goals, playing the final pass. | 25 32 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 2 |
| Goals by head ⓘ Goals by head | 6 5 |
| Penalty goals ⓘ Penalty goals | 1 2 |
| Goals by freekick ⓘ Goals by freekick | 1 2 |
| Goals by foot | 20 25 |
| Shots on Goal | 177 195 |
| 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. | 8.02 9.16 |
Goals & Shots conceded
| Goals conceeded | 32 17 |
| Goals by head conceeded | 7 3 |
| Goals by foot conceeded | 20 13 |
| Shots on goal conceeded | 189 128 |
| Goals per 90 min conceeded | 1.6 0.77 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3082 4524 |
| 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 | 2406 3606 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5546 8068 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 107 173 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 167 171 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 269 321 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 24 58 |
| 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. | 555 697 |
| 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. | 1588 2062 |
| 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. | 3750 4954 |
| 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. | 1172 2176 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 98 129 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1118 2535 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 994 1691 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2059 2310 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1325 1548 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1667 1934 |
| 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. | 957 1575 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.75 92.64 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.12 77.23 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 80.78 85.6 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45.28 53.7 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 44.3 45.84 |
| 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. | 58.05 68.87 |
| 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. | 75.37 83.48 |
| 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. | 84.23 86.91 |
| 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. | 72.35 80.27 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.14 48.31 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 74.65 80.05 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.09 83.41 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 77.96 82.59 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 78.33 83.42 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 72.64 82.73 |
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. | 5065 7171 |
| 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". | 1227 1958 |
| 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. | 405 500 |
| 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" | 940 878 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 851 965 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 689 761 |
| 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. | 572 492 |
| 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". | 682 579 |
| Total touches in phase Set Pieces | 977 992 |
| Total touches in phase Second ball | 1622 1457 |
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. | 133 160 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 499 641 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 74 51 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 210 202 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 517 426 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 64 54 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 29 50 |
| 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’ | 401 315 |
| Ball losses in first third ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘first third of the pitch’ area | 519 408 |
| 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 | 702 746 |
| 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’ | 448 535 |
| 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’ | 83 138 |
| Ball losses total | 2153 2142 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2777 2771 |
| 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 | 219 164 |
| 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 | 782 758 |
| 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 | 928 1038 |
| 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 | 347 398 |
| 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 | 80 84 |
Defensive
| Ground duels won ⓘ Won ground duel. | 515 702 |
| Ground duels lost ⓘ Lost ground duel. | 562 729 |
| Ariel duels won ⓘ Won aerial duel. | 335 316 |
| Ariel duels lost ⓘ Lost aerial duel. | 314 271 |
| 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. | 581 627 |
| 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. | 261 330 |
| 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. | 669 595 |
| 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. | 361 350 |
| Tackles | 1077 1431 |
| Clearances by foot | 410 408 |
| Ground duels total | 1077 1431 |
| Ground duels won % | 47.82 49.06 |
| Ground duels lost % | 52.18 50.94 |
| Ariel duels total | 649 587 |
| Ariel duels won % | 51.62 53.83 |
| Ariel duels lost % | 48.38 46.17 |
| Defensive stability ⓘ The ability to defend well | 524.3 608.4 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 490 769 |
| Succesful dribbles | 5945 8231 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 390 375 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 718 1019 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1251 2034 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 504 899 |
| 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 | 484 668 |
| 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 | 1382 2052 |
| 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 | 698 1223 |
| 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 | 259 352 |
| 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 | 528 1238 |
| 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 | 367 701 |
| 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 | 745 902 |
| 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 | 505 640 |
| 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 | 760 908 |
| 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 | 413 563 |
| 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 | 1159 1720 |
| 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 | 569 962 |
| 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 | 198 292 |
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. | 30.41 36.21 |
| 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. | 30.41 36.21 |
| 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) | 1.39 1.45 |
| Xg with head ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a header. | 4.02 6.65 |
| 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 | 0.78 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.09 1.07 |
| Open play Xg ⓘ Open play Xg value | 28.86 33.42 |
| Set piece Xg ⓘ Set piece Xg | 1.55 2.79 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.13 |
| Xg with foot ⓘ Xg with foot | 24.84 26.78 |
| xG over/under ⓘ Goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -2.41 -2.21 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 1.98 -1.65 |
| 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. | 29.63 33.87 |
| 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. | 0.23 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. | -0.39 0.55 |
| 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. | -2.69 -1.16 |
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