Koln vs West Ham United: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Koln or West Ham United? 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. West Ham United - Who Is Better?
Koln has completed 6556 successful passes compared to West Ham United's 6994, with Koln ranking 12 and West Ham United ranking 15 in the league for successful passes. See Full Successful passes Ranking
West Ham United has won 671 ground duels versus 442 for Koln, with West Ham United ranking 10 and Koln ranking 18 in the league for ground duels won. See Full Ground duels won Ranking
Koln has accumulated 30.9 expected goals against while West Ham United faces 38.77, with Koln ranking 13 and West Ham United ranking 19 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 27 24 |
| Goals | 1.5 1.09 |
| Shot at goal number ⓘ Number of shots. | 232 224 |
| Shots on Goal | 159 153 |
| Goals conceeded | 30 43 |
| Goals conceeded | 1.67 1.95 |
| Matches won | 5 4 |
| Matches lost | 8 13 |
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 | WES | |
| 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 West Ham United's 3 - highlighting their ability to fashion high-quality chances
West Ham United records 71 shots that miss the target completely versus Koln's 73 - showcasing their shooting accuracy variance
Koln completes 1016 passes from the right flank while West Ham United manages 1753 - exposing their right-sided distribution patterns
Compare Yourself
Koln Compare Koln
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Koln’s and West Ham United’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
Linton Maina
1
#22
Luca Waldschmidt
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
Luca Waldschmidt
8
#17
Dominique Heintz
8
#18
Timo Hubers
10
#19
Florian Kainz
13
#20
Linton Maina
13
#21
Tom Krauss
13
#22
Jan Thielmann
21
#23
Marius Bulter
21
#24
Marvin Schwabe
25
#25
Jakub Kaminski
26
#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
Linton Maina
21
#20
Florian Kainz
24
#21
Marvin Schwabe
27
#22
Marius Bulter
29
#23
Tom Krauss
34
#24
Jan Thielmann
36
#25
Jakub Kaminski
74
#1
Jakub Kaminski
2.63
#2
Marius Bulter
2.41
#3
Jan Thielmann
1.3
#4
Luca Waldschmidt
1.17
No.
Player
Value
#1
Jakub Kaminski
3
#2
Marius Bulter
2
#3
Jan Thielmann
1
#4
Luca Waldschmidt
1
#5
Florian Kainz
1
#6
Linton Maina
0
#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
El Hadji Malick Diouf
0
#2
Nayef Aguerd
0
#3
Aaron Wan-Bissaka
0
#4
Mads Hermansen
0
No.
Player
Value
#1
El Hadji Malick Diouf
0
#2
Nayef Aguerd
0
#3
Aaron Wan-Bissaka
0
#4
Mads Hermansen
0
#5
Maximilian Kilman
0
#6
James Ward-Prowse
0
#7
Jean-Clair Todibo
0
#8
Guido Rodriguez
0
#9
Andrew Irving
0
#10
Niclas Fullkrug
0
#11
Freddie Potts
0
#12
Konstantinos Mavropanos
0
#13
Soungoutou Magassa
0
#14
Luis Guilherme
0
#15
Alphonse Areola
0
#16
Igor
0
#17
Callum Marshall
0
#18
Oliver Scarles
0
#19
Mohamadou Kante
0
#20
Ezra Mayers
0
#21
George Earthy
0
#22
Taty Castellanos
0
#23
Pablo
0
#24
Kyle Walker-Peters
0
#25
Tomas Soucek
0
#26
Crysencio Summerville
0
#27
Lucas Paqueta
0
#28
Jarrod Bowen
1
#29
Mateus Fernandes
2
#30
Callum Wilson
2
#1
El Hadji Malick Diouf
0
#2
Aaron Wan-Bissaka
0
#3
Andrew Irving
0
#4
Freddie Potts
0
No.
Player
Value
#1
El Hadji Malick Diouf
0
#2
Aaron Wan-Bissaka
0
#3
Andrew Irving
0
#4
Freddie Potts
0
#5
Soungoutou Magassa
0
#6
Callum Marshall
0
#7
Oliver Scarles
0
#8
Mohamadou Kante
0
#9
Ezra Mayers
0
#10
George Earthy
0
#11
Taty Castellanos
0
#12
Pablo
0
#13
Nayef Aguerd
2
#14
Igor
2
#15
James Ward-Prowse
2
#16
Guido Rodriguez
3
#17
Lucas Paqueta
4
#18
Mads Hermansen
4
#19
Alphonse Areola
5
#20
Jarrod Bowen
5
#21
Maximilian Kilman
6
#22
Niclas Fullkrug
6
#23
Luis Guilherme
7
#24
Jean-Clair Todibo
7
#25
Tomas Soucek
7
#26
Konstantinos Mavropanos
9
#27
Kyle Walker-Peters
10
#28
Crysencio Summerville
11
#29
Callum Wilson
12
#30
Mateus Fernandes
29
#1
El Hadji Malick Diouf
0
#2
Aaron Wan-Bissaka
0
#3
Andrew Irving
0
#4
Freddie Potts
0
No.
Player
Value
#1
El Hadji Malick Diouf
0
#2
Aaron Wan-Bissaka
0
#3
Andrew Irving
0
#4
Freddie Potts
0
#5
Soungoutou Magassa
0
#6
Callum Marshall
0
#7
Oliver Scarles
0
#8
Mohamadou Kante
0
#9
Ezra Mayers
0
#10
George Earthy
0
#11
Taty Castellanos
0
#12
Pablo
0
#13
Igor
0
#14
Guido Rodriguez
1
#15
Niclas Fullkrug
2
#16
Nayef Aguerd
2
#17
Mads Hermansen
2
#18
Alphonse Areola
2
#19
James Ward-Prowse
4
#20
Luis Guilherme
4
#21
Callum Wilson
4
#22
Maximilian Kilman
5
#23
Tomas Soucek
6
#24
Jean-Clair Todibo
6
#25
Jarrod Bowen
11
#26
Konstantinos Mavropanos
13
#27
Lucas Paqueta
13
#28
Kyle Walker-Peters
23
#29
Crysencio Summerville
28
#30
Mateus Fernandes
75
#1
Callum Wilson
1.47
#2
Crysencio Summerville
1.04
#3
Jarrod Bowen
0.6
#4
Mateus Fernandes
0.59
No.
Player
Value
#1
Callum Wilson
1
#2
Crysencio Summerville
1
#3
Jarrod Bowen
1
#4
Mateus Fernandes
1
#5
Lucas Paqueta
0
#6
Kyle Walker-Peters
0
#7
Tomas Soucek
0
#8
Niclas Fullkrug
0
#9
Konstantinos Mavropanos
0
#10
Maximilian Kilman
0
#11
Luis Guilherme
0
#12
Nayef Aguerd
0
#13
James Ward-Prowse
0
#14
Jean-Clair Todibo
0
#15
Guido Rodriguez
0
#16
El Hadji Malick Diouf
0
#17
Aaron Wan-Bissaka
0
#18
Mads Hermansen
0
#19
Andrew Irving
0
#20
Freddie Potts
0
#21
Soungoutou Magassa
0
#22
Alphonse Areola
0
#23
Igor
0
#24
Callum Marshall
0
#25
Oliver Scarles
0
#26
Mohamadou Kante
0
#27
Ezra Mayers
0
#28
George Earthy
0
#29
Taty Castellanos
0
#30
Pablo
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.
#59
Koln
4.04
#60
West Ham United
4.02
#61
Monaco
4.02
#62
Osasuna
3.97
Weak Stats
These are the areas where Koln`s performance falls below the league average.
#80
Koln
338
#81
Bayer 04 Leverkusen
337
#82
Nice
335
#83
Toulouse
335
West Ham United: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where West Ham United is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where West Ham United consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show West Ham United`s solid, reliable contributions that are in line with the majority of players in his position.
#56
West Ham United
3481
#57
Nice
3436
#58
Sevilla
3432
#59
Villarreal
3391
Performance per season
Expected Threat & Involvement Analysis
Koln has an Expected Threat of 3734.23 - ranking 9 and measuring their ability to advance the ball into dangerous positions, while West Ham United generates 3958.84 Expected Threat - sitting at 17, 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 501.29 - placing them 1 defensively, indicating how much dangerous ball progression they allow opponents, while West Ham United concedes 655.04 Expected Threat against - ranking 2, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Koln recorded 113 Critical ball losses - ranking 3 in possession security, meaning they've given the ball away in trouble spots, while West Ham United suffered 131 such losses - sitting at 2, 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. | 3734.23 3958.84 |
| 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. | 501.29 655.04 |
| 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. | 113 131 |
| 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. | 840 1053 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.02 1.17 |
Ratings and Scores
Compare Koln & West Ham United`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, | 62.09 52.55 |
| 1vs1 index defensive ⓘ The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. | 55.7 51.54 |
| 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 | 65.46 56.9 |
| Offensive interventions | 136.89 136.5 |
Goals & Assists
| Goals | 27 24 |
| Assists ⓘ Creating goals, playing the final pass. | 23 19 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 3 |
| Goals by head ⓘ Goals by head | 6 4 |
| Penalty goals ⓘ Penalty goals | 1 2 |
| Goals by freekick ⓘ Goals by freekick | 1 0 |
| Goals by foot | 19 16 |
| Shots on Goal | 159 153 |
| 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. | 8.85 7.46 |
Goals & Shots conceded
| Goals conceeded | 30 43 |
| Goals by head conceeded | 7 12 |
| Goals by foot conceeded | 18 26 |
| Shots on goal conceeded | 171 225 |
| Goals per 90 min conceeded | 1.67 1.95 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2784 3258 |
| 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 | 2197 2512 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5104 5407 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 99 103 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 147 170 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 243 310 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 22 28 |
| 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. | 511 534 |
| 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. | 1464 1476 |
| 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. | 3459 3585 |
| 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. | 1035 1335 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 87 64 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1016 1753 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 909 1136 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1899 1589 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1217 1015 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1515 1501 |
| 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. | 840 1053 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.82 89.89 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.28 53.37 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 80.73 86.11 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45.83 43.08 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 45.09 39.35 |
| 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. | 58.4 52.35 |
| 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. | 76.01 74.36 |
| 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. | 84.65 82.51 |
| 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. | 71.97 73.96 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.72 44.44 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 74.63 75.35 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.46 79.73 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 78.37 71.1 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 78.63 77.23 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 73.57 75.3 |
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. | 4676 4679 |
| 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". | 1130 1529 |
| 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. | 338 505 |
| 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" | 823 762 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 763 1046 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 615 771 |
| 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. | 509 618 |
| 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". | 591 593 |
| Total touches in phase Set Pieces | 847 1123 |
| Total touches in phase Second ball | 1414 1355 |
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. | 113 131 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 455 608 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 68 90 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 179 262 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 462 493 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 58 50 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 26 37 |
| 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’ | 364 486 |
| 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 | 462 509 |
| 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 | 627 760 |
| 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’ | 403 470 |
| 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’ | 72 80 |
| Ball losses total | 1928 2305 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2464 3003 |
| 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 | 202 312 |
| 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 | 698 952 |
| 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 | 813 968 |
| 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 | 297 343 |
| 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 | 73 64 |
Defensive
| Ground duels won ⓘ Won ground duel. | 442 671 |
| Ground duels lost ⓘ Lost ground duel. | 496 736 |
| Ariel duels won ⓘ Won aerial duel. | 297 339 |
| Ariel duels lost ⓘ Lost aerial duel. | 274 320 |
| 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. | 527 628 |
| 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. | 223 348 |
| 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. | 611 679 |
| 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. | 316 424 |
| Tackles | 938 1407 |
| Clearances by foot | 355 470 |
| Ground duels total | 938 1407 |
| Ground duels won % | 47.12 47.69 |
| Ground duels lost % | 52.88 52.31 |
| Ariel duels total | 571 659 |
| Ariel duels won % | 52.01 51.44 |
| Ariel duels lost % | 47.99 48.56 |
| Defensive stability ⓘ The ability to defend well | 459.6 633.1 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 426 569 |
| Succesful dribbles | 5420 5804 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 360 365 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 659 755 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1138 1330 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 436 597 |
| 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 | 456 526 |
| 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 | 1258 1396 |
| 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 | 622 834 |
| 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 | 218 219 |
| 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 | 461 886 |
| 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 | 332 464 |
| 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 | 688 672 |
| Number of offensive actions from half-left ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically OUT of which space this pass or dribble was played -> left half space of the pitch | 460 385 |
| 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 | 690 684 |
| 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 | 391 425 |
| 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 | 1067 1151 |
| 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 | 510 671 |
| 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 | 166 175 |
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. | 27.59 25.74 |
| 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. | 27.59 25.74 |
| 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) | 1.2 0.94 |
| 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. | 3.53 4.15 |
| 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 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.02 1.17 |
| Open play Xg ⓘ Open play Xg value | 26.13 23.84 |
| Set piece Xg ⓘ Set piece Xg | 1.46 1.9 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.11 |
| Xg with foot ⓘ Xg with foot | 22.61 19.69 |
| 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. | -0.59 -3.74 |
| 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. | 2.47 -0.15 |
| 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. | 26.81 24.18 |
| 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. | 0.32 -0.34 |
| 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. | -0.2 2.06 |
| 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. | -2.04 -1.02 |
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