Augsburg vs Arsenal FC: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Augsburg or Arsenal FC? 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 Augsburg vs. Arsenal FC - Who Is Better?
Augsburg has a 1vs1 Score of 57.88 while Arsenal FC has a 1vs1 Score of 85.15, showing which team is performing better this season. View Augsburg's Position in 1vs1 Best Team Ranking | View Arsenal FC's Position in 1vs1 Best Team Ranking
Arsenal FC has won 741 ground duels versus 689 for Augsburg, with Arsenal FC ranking 16 and Augsburg ranking 3 in the league for ground duels won. See Full Ground duels won Ranking
Augsburg has accumulated 40.26 expected goals against while Arsenal FC faces 18.61, with Augsburg ranking 18 and Arsenal FC ranking 1 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 24 49 |
| Goals | 1.14 1.96 |
| Shot at goal number ⓘ Number of shots. | 266 356 |
| Shots on Goal | 181 249 |
| Goals conceeded | 38 17 |
| Goals conceeded | 1.81 0.68 |
| Matches won | 6 17 |
| Matches lost | 11 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 Augsburg`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| AUG | ARS | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Augsburg creates 2 clear goal-scoring opportunities compared to Arsenal FC's 8 - highlighting their ability to fashion high-quality chances
Arsenal FC records 107 shots that miss the target completely versus Augsburg's 85 - showcasing their shooting accuracy variance
Augsburg completes 1465 passes from the right flank while Arsenal FC manages 1998 - exposing their right-sided distribution patterns
Compare Yourself
Augsburg Compare Augsburg
Search for a team Other Comparisons
Augsburg’s and Arsenal FC’s Total Squad Salary
Salary Stats
#1
Elias Saad
0
No.
Player
Value
#1
Elias Saad
0
#2
Jeffrey Gouweleeuw
0
#3
Mert Komur
0
#4
Arne Maier
0
#5
Cedric Zesiger
0
#6
Finn Dahmen
0
#7
Keven Schlotterbeck
0
#8
Robin Fellhauer
0
#9
Noahkai Banks
0
#10
Anton Kade
0
#11
Aiman Dardari
0
#12
Ismael Gharbi
0
#13
Mads Pedersen
0
#14
Yannik Keitel
0
#15
Arthur Chaves
0
#16
Rodrigo Ribeiro
0
#17
Marius Wolf
0
#18
Kristijan Jakic
0
#19
Chrislain Matsima
0
#20
Elvis Rexhbecaj
1
#21
Samuel Essende
1
#22
Phillip Tietz
1
#23
Alexis Claude-Maurice
1
#24
Han-Noah Massengo
1
#25
Dimitrios Giannoulis
2
#26
Michael Gregoritsch
2
#27
Fabian Rieder
2
#1
Elias Saad
0
#2
Mert Komur
0
#3
Robin Fellhauer
0
#4
Noahkai Banks
0
No.
Player
Value
#1
Elias Saad
0
#2
Mert Komur
0
#3
Robin Fellhauer
0
#4
Noahkai Banks
0
#5
Anton Kade
0
#6
Aiman Dardari
0
#7
Ismael Gharbi
0
#8
Arthur Chaves
0
#9
Rodrigo Ribeiro
0
#10
Arne Maier
1
#11
Yannik Keitel
4
#12
Jeffrey Gouweleeuw
6
#13
Mads Pedersen
7
#14
Michael Gregoritsch
8
#15
Cedric Zesiger
11
#16
Chrislain Matsima
12
#17
Keven Schlotterbeck
12
#18
Kristijan Jakic
14
#19
Samuel Essende
15
#20
Marius Wolf
15
#21
Finn Dahmen
16
#22
Alexis Claude-Maurice
19
#23
Dimitrios Giannoulis
19
#24
Phillip Tietz
19
#25
Elvis Rexhbecaj
21
#26
Fabian Rieder
22
#27
Han-Noah Massengo
25
#1
Elias Saad
0
#2
Mert Komur
0
#3
Robin Fellhauer
0
#4
Noahkai Banks
0
No.
Player
Value
#1
Elias Saad
0
#2
Mert Komur
0
#3
Robin Fellhauer
0
#4
Noahkai Banks
0
#5
Anton Kade
0
#6
Aiman Dardari
0
#7
Ismael Gharbi
0
#8
Arthur Chaves
0
#9
Rodrigo Ribeiro
0
#10
Arne Maier
1
#11
Yannik Keitel
1
#12
Michael Gregoritsch
2
#13
Samuel Essende
5
#14
Phillip Tietz
5
#15
Jeffrey Gouweleeuw
9
#16
Mads Pedersen
16
#17
Finn Dahmen
16
#18
Chrislain Matsima
19
#19
Marius Wolf
22
#20
Keven Schlotterbeck
25
#21
Kristijan Jakic
26
#22
Cedric Zesiger
28
#23
Elvis Rexhbecaj
30
#24
Alexis Claude-Maurice
35
#25
Fabian Rieder
38
#26
Han-Noah Massengo
54
#27
Dimitrios Giannoulis
77
#1
Alexis Claude-Maurice
2.66
#2
Fabian Rieder
1.59
#3
Michael Gregoritsch
1.27
#4
Phillip Tietz
1.25
No.
Player
Value
#1
Alexis Claude-Maurice
3
#2
Fabian Rieder
2
#3
Michael Gregoritsch
1
#4
Phillip Tietz
1
#5
Samuel Essende
1
#6
Han-Noah Massengo
1
#7
Marius Wolf
0
#8
Dimitrios Giannoulis
0
#9
Elvis Rexhbecaj
0
#10
Keven Schlotterbeck
0
#11
Kristijan Jakic
0
#12
Mads Pedersen
0
#13
Chrislain Matsima
0
#14
Cedric Zesiger
0
#15
Jeffrey Gouweleeuw
0
#16
Elias Saad
0
#17
Mert Komur
0
#18
Arne Maier
0
#19
Finn Dahmen
0
#20
Robin Fellhauer
0
#21
Noahkai Banks
0
#22
Anton Kade
0
#23
Aiman Dardari
0
#24
Ismael Gharbi
0
#25
Yannik Keitel
0
#26
Arthur Chaves
0
#27
Rodrigo Ribeiro
0
Salary Stats
#1
Myles Lewis-Skelly
0
No.
Player
Value
#1
Myles Lewis-Skelly
0
#2
Kai Havertz
0
#3
Martin Odegaard
0
#4
Ben White
0
#5
David Raya
0
#6
William Saliba
0
#7
Noni Madueke
0
#8
Cristhian Mosquera
0
#9
Ethan Nwaneri
0
#10
Max Dowman
0
#11
Christian Norgaard
0
#12
Piero Hincapie
0
#13
Gabriel Martinelli
0
#14
Gabriel Jesus
0
#15
Riccardo Calafiori
0
#16
Declan Rice
0
#17
Gabriel Magalhaes
0
#18
Bukayo Saka
0
#19
Jurrien Timber
0
#20
Eberechi Eze
0
#21
Leandro Trossard
0
#22
Mikel Merino
1
#23
Viktor Gyokeres
1
#24
Martin Zubimendi
1
#1
Myles Lewis-Skelly
0
#2
Kai Havertz
0
#3
Martin Odegaard
0
#4
Ethan Nwaneri
0
No.
Player
Value
#1
Myles Lewis-Skelly
0
#2
Kai Havertz
0
#3
Martin Odegaard
0
#4
Ethan Nwaneri
0
#5
Max Dowman
0
#6
Christian Norgaard
0
#7
Gabriel Jesus
1
#8
Ben White
1
#9
Gabriel Martinelli
1
#10
William Saliba
1
#11
Declan Rice
1
#12
Viktor Gyokeres
1
#13
Eberechi Eze
1
#14
Riccardo Calafiori
1
#15
Gabriel Magalhaes
1
#16
Noni Madueke
1
#17
Bukayo Saka
1
#18
Leandro Trossard
1
#19
Mikel Merino
2
#20
David Raya
3
#21
Jurrien Timber
3
#22
Piero Hincapie
3
#23
Cristhian Mosquera
4
#24
Martin Zubimendi
4
#1
Myles Lewis-Skelly
0
#2
Martin Odegaard
0
#3
Ethan Nwaneri
0
#4
Max Dowman
0
No.
Player
Value
#1
Myles Lewis-Skelly
0
#2
Martin Odegaard
0
#3
Ethan Nwaneri
0
#4
Max Dowman
0
#5
Christian Norgaard
0
#6
Kai Havertz
0
#7
Gabriel Jesus
1
#8
Viktor Gyokeres
2
#9
Gabriel Martinelli
3
#10
William Saliba
4
#11
Ben White
5
#12
Mikel Merino
5
#13
Gabriel Magalhaes
7
#14
Eberechi Eze
7
#15
David Raya
8
#16
Noni Madueke
8
#17
Cristhian Mosquera
9
#18
Piero Hincapie
9
#19
Declan Rice
11
#20
Leandro Trossard
12
#21
Riccardo Calafiori
13
#22
Bukayo Saka
15
#23
Martin Zubimendi
29
#24
Jurrien Timber
30
#1
Jurrien Timber
0.63
#2
Viktor Gyokeres
0.62
#3
Martin Zubimendi
0.5
#4
Mikel Merino
0.42
No.
Player
Value
#1
Jurrien Timber
1
#2
Viktor Gyokeres
1
#3
Martin Zubimendi
1
#4
Mikel Merino
0
#5
Bukayo Saka
0
#6
Riccardo Calafiori
0
#7
Eberechi Eze
0
#8
Leandro Trossard
0
#9
Gabriel Martinelli
0
#10
Noni Madueke
0
#11
Declan Rice
0
#12
Gabriel Magalhaes
0
#13
Gabriel Jesus
0
#14
Kai Havertz
0
#15
Ben White
0
#16
Cristhian Mosquera
0
#17
William Saliba
0
#18
Myles Lewis-Skelly
0
#19
Martin Odegaard
0
#20
David Raya
0
#21
Ethan Nwaneri
0
#22
Max Dowman
0
#23
Christian Norgaard
0
#24
Piero Hincapie
0
Augsburg: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Augsburg consistently performs at a high level, placing him near the top of the league.
#4
Augsburg
0.25
#5
Real Sociedad
0.24
#6
Paris FC
0.23
#7
VfL Wolfsburg
0.23
Average Stats
These stats show Augsburg`s solid, reliable contributions that are in line with the majority of players in his position.
#65
Augsburg
1285
#66
Udinese
1275
#67
Brentford
1262
#68
Leeds United
1245
#65
Augsburg
205
#66
SC Freiburg
204
#67
West Ham United
201
#68
Rayo Vallecano
199
Weak Stats
These are the areas where Augsburg`s performance falls below the league average.
#79
Augsburg
1510
#80
Brest
1508
#81
Getafe
1507
#82
Genua CFC
1498
Arsenal FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Arsenal FC is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Arsenal FC consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Arsenal FC`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Arsenal FC`s performance falls below the league average.
#65
Arsenal FC
457
#66
AS Roma
456
#67
Le Havre AC
453
#68
AFC Bournemouth
448
Performance per season
Expected Threat & Involvement Analysis
Augsburg has an Expected Threat of 4048.75 - ranking 12 and measuring their ability to advance the ball into dangerous positions, while Arsenal FC generates 7525.36 Expected Threat - sitting at 3, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Augsburg has an Expected Threat against of 557.07 - placing them 6 defensively, indicating how much dangerous ball progression they allow opponents, while Arsenal FC concedes 414.26 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
Augsburg recorded 184 Critical ball losses - ranking 11 in possession security, meaning they've given the ball away in trouble spots, while Arsenal FC suffered 178 such losses - sitting at 7, 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. | 4048.75 7525.36 |
| 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. | 557.07 414.26 |
| 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. | 184 178 |
| 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. | 1035 1552 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.1 0.96 |
Ratings and Scores
Compare Augsburg & Arsenal FC`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, | 57.88 85.15 |
| 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. | 55.62 100 |
| 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 | 58.88 69.58 |
| Offensive interventions | 147.48 128.96 |
Goals & Assists
| Goals | 24 49 |
| Assists ⓘ Creating goals, playing the final pass. | 19 46 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 0 |
| Goals by head ⓘ Goals by head | 6 11 |
| Penalty goals ⓘ Penalty goals | 1 3 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 17 30 |
| Shots on Goal | 181 249 |
| 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. | 6.84 9.5 |
Goals & Shots conceded
| Goals conceeded | 38 17 |
| Goals by head conceeded | 5 3 |
| Goals by foot conceeded | 26 13 |
| Shots on goal conceeded | 191 122 |
| Goals per 90 min conceeded | 1.81 0.68 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3371 4168 |
| 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 | 2652 3143 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5520 8836 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 82 140 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 197 228 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 312 314 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 34 41 |
| 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. | 598 695 |
| 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. | 1584 1937 |
| 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. | 3731 5530 |
| 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. | 1285 2408 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 74 161 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1465 1998 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1147 2132 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1959 2991 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1114 1801 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1587 1809 |
| 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. | 1035 1552 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 88.55 92.98 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 57.75 58.33 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 87.64 83.07 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 51.52 49.4 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 44.17 47.3 |
| 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. | 62.1 67.41 |
| 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. | 73.85 80.44 |
| 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. | 81.86 87.09 |
| 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. | 71.99 79.11 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 45.4 51.27 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 73.47 78.24 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 76.56 84.47 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 76.85 82.95 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 77.45 84.1 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 74.4 77.99 |
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. | 4898 8040 |
| 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". | 1510 1658 |
| 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. | 471 606 |
| 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" | 896 932 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1073 958 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 809 773 |
| 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. | 535 746 |
| 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". | 701 771 |
| Total touches in phase Set Pieces | 1006 1352 |
| Total touches in phase Second ball | 1597 1703 |
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. | 184 178 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 714 667 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 60 100 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 249 254 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 442 505 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 44 64 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 32 42 |
| 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’ | 365 336 |
| 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 | 561 471 |
| 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 | 827 820 |
| 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’ | 500 636 |
| 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’ | 89 153 |
| Ball losses total | 2342 2416 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3097 3224 |
| 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 | 260 175 |
| 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 | 784 657 |
| 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 | 1119 1221 |
| 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 | 423 526 |
| 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 | 81 154 |
Defensive
| Ground duels won ⓘ Won ground duel. | 689 741 |
| Ground duels lost ⓘ Lost ground duel. | 696 756 |
| Ariel duels won ⓘ Won aerial duel. | 309 346 |
| Ariel duels lost ⓘ Lost aerial duel. | 325 315 |
| 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. | 706 646 |
| 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. | 361 354 |
| 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. | 714 839 |
| 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. | 340 323 |
| Tackles | 1385 1497 |
| Clearances by foot | 492 529 |
| Ground duels total | 1385 1497 |
| Ground duels won % | 49.75 49.5 |
| Ground duels lost % | 50.25 50.5 |
| Ariel duels total | 634 661 |
| Ariel duels won % | 48.74 52.34 |
| Ariel duels lost % | 51.26 47.66 |
| Defensive stability ⓘ The ability to defend well | 577.1 680.1 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 505 804 |
| Succesful dribbles | 5947 9443 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 358 400 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 761 808 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1442 1750 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 566 913 |
| 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 | 506 548 |
| 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 | 1545 1730 |
| 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 | 806 1139 |
| 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 | 229 413 |
| 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 | 680 969 |
| 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 | 470 715 |
| 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 | 753 931 |
| 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 | 490 628 |
| 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 | 776 721 |
| 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 | 416 457 |
| 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 | 1322 1411 |
| 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 | 655 877 |
| 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 | 196 309 |
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. | 26.42 42.05 |
| 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. | 26.42 42.05 |
| 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) | 2.23 1.07 |
| 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. | 4.57 9.38 |
| 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. | 1.1 0.96 |
| Open play Xg ⓘ Open play Xg value | 24.78 38.96 |
| Set piece Xg ⓘ Set piece Xg | 1.64 2.74 |
| Xg average per shot ⓘ Xg average per shot | 0.1 0.12 |
| Xg with foot ⓘ Xg with foot | 20.21 29.58 |
| 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. | -2.42 1.95 |
| 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. | 1.43 1.62 |
| 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. | 25.64 39.71 |
| 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. | -0.86 -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. | -1.23 -1.07 |
| Goals minus Xg short distance shot ⓘ Short distance goals (less than 10 meters)minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 1.4 0.12 |
Comments (0)