Koln vs Manchester City: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Koln or Manchester City? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
England 
Premier League 
Analyse Analyse Koln vs. Manchester City - Who Is Better?
Koln has a 1vs1 Score of 62.84 while Manchester City has a 1vs1 Score of 80.18, showing which team is performing better this season. View Koln's Position in 1vs1 Best Team Ranking | View Manchester City's Position in 1vs1 Best Team Ranking
Manchester City has won 749 ground duels versus 515 for Koln, with Manchester City ranking 13 and Koln ranking 18 in the league for ground duels won. See Full Ground duels won Ranking
Koln has accumulated 34.54 expected goals against while Manchester City faces 32.56, with Koln ranking 12 and Manchester City ranking 4 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 29 49 |
| Goals | 1.45 2.04 |
| Shot at goal number ⓘ Number of shots. | 263 343 |
| Shots on Goal | 177 233 |
| Goals conceeded | 32 23 |
| Goals conceeded | 1.6 0.96 |
| Matches won | 6 14 |
| Matches lost | 9 5 |
Scores
To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. Team Form
Shooting Data & xG Analysis
All Koln`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| KOL | MCI | |
| 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 Manchester City's 11 - highlighting their ability to fashion high-quality chances
Manchester City records 110 shots that miss the target completely versus Koln's 86 - showcasing their shooting accuracy variance
Koln completes 1118 passes from the right flank while Manchester City manages 2691 - exposing their right-sided distribution patterns
Compare Yourself
Koln Compare Koln
Search for a team Other Comparisons
Koln’s and Manchester City’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
Rico Lewis
0
#2
Nico OReilly
0
#3
Abdukodir Khusanov
0
#4
John Stones
0
No.
Player
Value
#1
Rico Lewis
0
#2
Nico OReilly
0
#3
Abdukodir Khusanov
0
#4
John Stones
0
#5
Rayan Ait-Nouri
0
#6
Nico Gonzalez
0
#7
James Trafford
0
#8
Bernardo Silva
0
#9
Nathan Ake
0
#10
Rodri
0
#11
Gianluigi Donnarumma
0
#12
Savinho
0
#13
Mateo Kovacic
0
#14
Divine Mukasa
0
#15
Max Alleyne
0
#16
Marc Guehi
0
#17
Omar Marmoush
0
#18
Matheus Nunes
0
#19
Ruben Dias
0
#20
Josko Gvardiol
0
#21
Rayan Cherki
0
#22
Jeremy Doku
0
#23
Oscar Bobb
0
#24
Tijjani Reijnders
0
#25
Phil Foden
0
#26
Antoine Semenyo
0
#27
Erling Haaland
1
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
No.
Player
Value
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
#5
Savinho
0
#6
Mateo Kovacic
0
#7
Divine Mukasa
0
#8
Max Alleyne
0
#9
Omar Marmoush
1
#10
Marc Guehi
1
#11
Erling Haaland
1
#12
John Stones
1
#13
Antoine Semenyo
1
#14
Rodri
1
#15
Josko Gvardiol
1
#16
Ruben Dias
1
#17
Gianluigi Donnarumma
1
#18
Bernardo Silva
1
#19
Nathan Ake
1
#20
Phil Foden
2
#21
Tijjani Reijnders
2
#22
Rayan Cherki
2
#23
Matheus Nunes
2
#24
Oscar Bobb
3
#25
Rico Lewis
5
#26
Jeremy Doku
7
#27
Abdukodir Khusanov
8
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
No.
Player
Value
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
#5
Savinho
0
#6
Divine Mukasa
0
#7
Max Alleyne
0
#8
Mateo Kovacic
0
#9
Gianluigi Donnarumma
0
#10
John Stones
0
#11
Omar Marmoush
1
#12
Erling Haaland
1
#13
Marc Guehi
2
#14
Nathan Ake
4
#15
Antoine Semenyo
5
#16
Ruben Dias
6
#17
Rodri
6
#18
Josko Gvardiol
6
#19
Tijjani Reijnders
7
#20
Phil Foden
8
#21
Bernardo Silva
8
#22
Rayan Cherki
14
#23
Rico Lewis
17
#24
Matheus Nunes
21
#25
Oscar Bobb
22
#26
Abdukodir Khusanov
29
#27
Jeremy Doku
63
#1
Erling Haaland
0.63
#2
Jeremy Doku
0.55
#3
Tijjani Reijnders
0.3
#4
Oscar Bobb
0.27
No.
Player
Value
#1
Erling Haaland
1
#2
Jeremy Doku
1
#3
Tijjani Reijnders
0
#4
Oscar Bobb
0
#5
Phil Foden
0
#6
Marc Guehi
0
#7
Antoine Semenyo
0
#8
Rayan Cherki
0
#9
Josko Gvardiol
0
#10
Omar Marmoush
0
#11
Rico Lewis
0
#12
Matheus Nunes
0
#13
Bernardo Silva
0
#14
Ruben Dias
0
#15
Nathan Ake
0
#16
Rodri
0
#17
Nico OReilly
0
#18
Abdukodir Khusanov
0
#19
John Stones
0
#20
Rayan Ait-Nouri
0
#21
Nico Gonzalez
0
#22
James Trafford
0
#23
Gianluigi Donnarumma
0
#24
Savinho
0
#25
Mateo Kovacic
0
#26
Divine Mukasa
0
#27
Max Alleyne
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.
Weak Stats
These are the areas where Koln`s performance falls below the league average.
#82
Koln
555
#83
Brest
548
#84
Everton FC
546
#85
Levante UD
534
#82
Koln
0
#83
Hamburger SV
0
#84
FSV Mainz 05
0
#85
S.S. Lazio
0
Manchester City: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Manchester City consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Manchester City`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Manchester City`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 Manchester City generates 7983.63 Expected Threat - sitting at 2, 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 Manchester City concedes 420.51 Expected Threat against - ranking 19, 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 2 in possession security, meaning they've given the ball away in trouble spots, while Manchester City suffered 175 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 7983.63 |
| 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. | 550.07 420.51 |
| 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. | 133 175 |
| 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 1718 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.09 0.93 |
Ratings and Scores
Compare Koln & Manchester City`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, | 62.84 80.18 |
| 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. | 57.27 75.94 |
| 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 | 64.93 73.58 |
| Offensive interventions | 138.85 123.17 |
Goals & Assists
| Goals | 29 49 |
| Assists ⓘ Creating goals, playing the final pass. | 25 43 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 3 |
| Goals by head ⓘ Goals by head | 6 6 |
| Penalty goals ⓘ Penalty goals | 1 2 |
| Goals by freekick ⓘ Goals by freekick | 1 0 |
| Goals by foot | 20 39 |
| Shots on Goal | 177 233 |
| 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 10.38 |
Goals & Shots conceded
| Goals conceeded | 32 23 |
| Goals by head conceeded | 7 1 |
| Goals by foot conceeded | 20 21 |
| Shots on goal conceeded | 189 168 |
| Goals per 90 min conceeded | 1.6 0.96 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3082 5002 |
| 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 3802 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5546 10391 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 107 195 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 167 199 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 269 347 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 24 42 |
| 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. | 555 777 |
| 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 2141 |
| 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 6476 |
| 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 2906 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 98 159 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1118 2691 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 994 2065 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2059 3170 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1325 2181 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1667 2352 |
| 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 1718 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.75 93.61 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.12 71.96 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 80.78 86.53 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45.28 51.85 |
| 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 45.85 |
| 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 71.88 |
| 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 81.19 |
| 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 90.17 |
| 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 85.19 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.14 52.65 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 74.65 82.09 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.09 87.34 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 77.96 85.19 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 78.33 86.51 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 72.64 85.62 |
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 9798 |
| 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 1824 |
| 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. | 405 481 |
| 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" | 940 863 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 851 1045 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 689 769 |
| 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. | 572 562 |
| 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". | 682 603 |
| Total touches in phase Set Pieces | 977 1043 |
| Total touches in phase Second ball | 1622 1466 |
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. | 133 175 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 499 709 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 74 76 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 210 235 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 517 403 |
| 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 39 |
| 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’ | 401 304 |
| 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 | 519 496 |
| 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 | 702 706 |
| 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’ | 448 505 |
| 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’ | 83 143 |
| Ball losses total | 2153 2154 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2777 2956 |
| 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 | 219 228 |
| 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 | 782 712 |
| 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 1054 |
| 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 | 347 436 |
| 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 | 80 108 |
Defensive
| Ground duels won ⓘ Won ground duel. | 515 749 |
| Ground duels lost ⓘ Lost ground duel. | 562 751 |
| Ariel duels won ⓘ Won aerial duel. | 335 271 |
| Ariel duels lost ⓘ Lost aerial duel. | 314 204 |
| 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. | 581 637 |
| 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. | 261 340 |
| 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. | 669 648 |
| 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. | 361 371 |
| Tackles | 1077 1500 |
| Clearances by foot | 410 463 |
| Ground duels total | 1077 1500 |
| Ground duels won % | 47.82 49.93 |
| Ground duels lost % | 52.18 50.07 |
| Ariel duels total | 649 475 |
| Ariel duels won % | 51.62 57.05 |
| Ariel duels lost % | 48.38 42.95 |
| Defensive stability ⓘ The ability to defend well | 524.3 685.3 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 490 1040 |
| Succesful dribbles | 5945 10429 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 390 436 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 718 1046 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1251 2265 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 504 1019 |
| 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 | 484 743 |
| 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 2267 |
| 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 1280 |
| 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 | 259 438 |
| 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 1069 |
| 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 | 367 761 |
| 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 1174 |
| 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 | 505 808 |
| 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 1043 |
| 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 | 413 624 |
| 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 1829 |
| 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 | 569 940 |
| 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 | 198 307 |
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 43.71 |
| 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 43.71 |
| 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 1.2 |
| 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 6.53 |
| 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 0.93 |
| Open play Xg ⓘ Open play Xg value | 28.86 40.97 |
| Set piece Xg ⓘ Set piece Xg | 1.55 2.74 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.13 |
| Xg with foot ⓘ Xg with foot | 24.84 34.44 |
| 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 3.29 |
| 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 -0.53 |
| 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 41.37 |
| 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 -0.4 |
| 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 1.8 |
| 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 0.66 |
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