Augsburg vs Everton FC: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Augsburg or Everton 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. Everton FC - Who Is Better?
Augsburg has a 1vs1 Score of 58.58 while Everton FC has a 1vs1 Score of 64.17, showing which team is performing better this season. View Augsburg's Position in 1vs1 Best Team Ranking | View Everton FC's Position in 1vs1 Best Team Ranking
Everton FC has won 745 ground duels versus 656 for Augsburg, with Everton FC ranking 10 and Augsburg ranking 2 in the league for ground duels won. See Full Ground duels won Ranking
Augsburg has accumulated 38.03 expected goals against while Everton FC faces 37.66, with Augsburg ranking 17 and Everton FC ranking 18 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 24 26 |
| Goals | 1.2 1.08 |
| Shot at goal number ⓘ Number of shots. | 254 245 |
| Shots on Goal | 172 169 |
| Goals conceeded | 36 27 |
| Goals conceeded | 1.8 1.13 |
| Matches won | 6 9 |
| Matches lost | 10 8 |
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 | EVE | |
| 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 Everton FC's 7 - highlighting their ability to fashion high-quality chances
Everton FC records 76 shots that miss the target completely versus Augsburg's 82 - showcasing their shooting accuracy variance
Augsburg completes 1372 passes from the right flank while Everton FC manages 1538 - exposing their right-sided distribution patterns
Compare Yourself
Augsburg Compare Augsburg
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Augsburg’s and Everton 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
Marius Wolf
0
#17
Kristijan Jakic
0
#18
Chrislain Matsima
0
#19
Elvis Rexhbecaj
1
#20
Samuel Essende
1
#21
Phillip Tietz
1
#22
Alexis Claude-Maurice
1
#23
Han-Noah Massengo
1
#24
Dimitrios Giannoulis
2
#25
Michael Gregoritsch
2
#26
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
Arne Maier
1
#10
Yannik Keitel
4
#11
Jeffrey Gouweleeuw
6
#12
Michael Gregoritsch
7
#13
Mads Pedersen
7
#14
Cedric Zesiger
11
#15
Keven Schlotterbeck
12
#16
Chrislain Matsima
12
#17
Kristijan Jakic
13
#18
Samuel Essende
15
#19
Marius Wolf
15
#20
Finn Dahmen
16
#21
Alexis Claude-Maurice
18
#22
Dimitrios Giannoulis
19
#23
Phillip Tietz
19
#24
Elvis Rexhbecaj
20
#25
Fabian Rieder
21
#26
Han-Noah Massengo
24
#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
Arne Maier
1
#10
Yannik Keitel
1
#11
Michael Gregoritsch
2
#12
Samuel Essende
5
#13
Phillip Tietz
5
#14
Jeffrey Gouweleeuw
9
#15
Mads Pedersen
16
#16
Finn Dahmen
16
#17
Chrislain Matsima
19
#18
Marius Wolf
21
#19
Cedric Zesiger
25
#20
Keven Schlotterbeck
25
#21
Kristijan Jakic
26
#22
Elvis Rexhbecaj
30
#23
Alexis Claude-Maurice
33
#24
Fabian Rieder
37
#25
Han-Noah Massengo
50
#26
Dimitrios Giannoulis
77
#1
Alexis Claude-Maurice
2.5
#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
Salary Stats
#1
Thierno Barry
0
#2
Jordan Pickford
0
#3
James Tarkowski
0
#4
Carlos Alcaraz
0
No.
Player
Value
#1
Thierno Barry
0
#2
Jordan Pickford
0
#3
James Tarkowski
0
#4
Carlos Alcaraz
0
#5
Tim Iroegbunam
0
#6
Jake OBrien
0
#7
Harrison Armstrong
0
#8
Dwight McNeil
0
#9
Vitaliy Mykolenko
0
#10
Seamus Coleman
0
#11
Merlin Rohl
0
#12
Tyler Dibling
0
#13
Nathan Patterson
0
#14
Jarrad Branthwaite
0
#15
Idrissa Gueye
0
#16
Jack Grealish
0
#17
Michael Keane
1
#18
Kiernan Dewsbury-Hall
1
#19
Beto
1
#20
James Garner
1
#21
Iliman Ndiaye
1
#1
Thierno Barry
0
#2
Jake OBrien
0
#3
Harrison Armstrong
0
#4
Merlin Rohl
0
No.
Player
Value
#1
Thierno Barry
0
#2
Jake OBrien
0
#3
Harrison Armstrong
0
#4
Merlin Rohl
0
#5
Tyler Dibling
0
#6
Jarrad Branthwaite
0
#7
Seamus Coleman
1
#8
Nathan Patterson
2
#9
Idrissa Gueye
2
#10
Jordan Pickford
3
#11
Kiernan Dewsbury-Hall
4
#12
James Tarkowski
4
#13
Jack Grealish
5
#14
Michael Keane
6
#15
Vitaliy Mykolenko
7
#16
Beto
8
#17
Iliman Ndiaye
8
#18
Dwight McNeil
10
#19
James Garner
15
#20
Carlos Alcaraz
17
#21
Tim Iroegbunam
17
#1
Thierno Barry
0
#2
Jake OBrien
0
#3
Harrison Armstrong
0
#4
Seamus Coleman
0
No.
Player
Value
#1
Thierno Barry
0
#2
Jake OBrien
0
#3
Harrison Armstrong
0
#4
Seamus Coleman
0
#5
Merlin Rohl
0
#6
Tyler Dibling
0
#7
Jarrad Branthwaite
2
#8
Beto
2
#9
Michael Keane
7
#10
Nathan Patterson
7
#11
Jordan Pickford
8
#12
James Tarkowski
10
#13
Idrissa Gueye
11
#14
Dwight McNeil
14
#15
Kiernan Dewsbury-Hall
16
#16
Carlos Alcaraz
20
#17
Tim Iroegbunam
28
#18
Iliman Ndiaye
29
#19
Jack Grealish
37
#20
Vitaliy Mykolenko
42
#21
James Garner
94
#1
Beto
1.29
#2
Iliman Ndiaye
1.21
#3
Carlos Alcaraz
1.03
#4
James Garner
0.94
No.
Player
Value
#1
Beto
1
#2
Iliman Ndiaye
1
#3
Carlos Alcaraz
1
#4
James Garner
1
#5
Tim Iroegbunam
1
#6
Jack Grealish
1
#7
Michael Keane
0
#8
Kiernan Dewsbury-Hall
0
#9
Dwight McNeil
0
#10
James Tarkowski
0
#11
Idrissa Gueye
0
#12
Vitaliy Mykolenko
0
#13
Nathan Patterson
0
#14
Thierno Barry
0
#15
Jordan Pickford
0
#16
Jake OBrien
0
#17
Harrison Armstrong
0
#18
Seamus Coleman
0
#19
Merlin Rohl
0
#20
Tyler Dibling
0
#21
Jarrad Branthwaite
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
Paris FC
0.24
#6
Real Sociedad
0.24
#7
VfL Wolfsburg
0.24
Average Stats
These stats show Augsburg`s solid, reliable contributions that are in line with the majority of players in his position.
#66
Augsburg
197
#67
Udinese
196
#68
Girona FC
195
#69
West Ham United
195
Weak Stats
These are the areas where Augsburg`s performance falls below the league average.
Everton FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Everton FC is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Everton FC consistently performs at a high level, placing him near the top of the league.
#2
Everton FC
1074
#3
Manchester United
1073
#4
Leeds United
1059
#5
Getafe
1046
Average Stats
These stats show Everton FC`s solid, reliable contributions that are in line with the majority of players in his position.
#52
Everton FC
4
Weak Stats
These are the areas where Everton FC`s performance falls below the league average.
#82
Everton FC
1078
#83
Hamburger SV
1067
#84
Toulouse
1054
#85
Mallorca
1052
Performance per season
Expected Threat & Involvement Analysis
Augsburg has an Expected Threat of 3853.65 - ranking 14 and measuring their ability to advance the ball into dangerous positions, while Everton FC generates 4695.27 Expected Threat - sitting at 13, 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 527.31 - placing them 5 defensively, indicating how much dangerous ball progression they allow opponents, while Everton FC concedes 618.56 Expected Threat against - ranking 7, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Augsburg recorded 172 Critical ball losses - ranking 11 in possession security, meaning they've given the ball away in trouble spots, while Everton FC suffered 159 such losses - sitting at 4, 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. | 3853.65 4695.27 |
| 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. | 527.31 618.56 |
| 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. | 172 159 |
| 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. | 990 1209 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.06 1.1 |
Ratings and Scores
Compare Augsburg & Everton 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, | 58.58 64.17 |
| 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. | 56.13 65.09 |
| 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 | 60.65 57.87 |
| Offensive interventions | 147.3 142.63 |
Goals & Assists
| Goals | 24 26 |
| Assists ⓘ Creating goals, playing the final pass. | 19 24 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 1 |
| Goals by head ⓘ Goals by head | 6 5 |
| Penalty goals ⓘ Penalty goals | 1 1 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 17 19 |
| Shots on Goal | 172 169 |
| 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. | 7.14 7.79 |
Goals & Shots conceded
| Goals conceeded | 36 27 |
| Goals by head conceeded | 5 7 |
| Goals by foot conceeded | 26 18 |
| Shots on goal conceeded | 182 222 |
| Goals per 90 min conceeded | 1.8 1.13 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3194 3585 |
| 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 | 2517 2758 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5170 5793 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 79 135 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 184 179 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 297 242 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 33 19 |
| 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. | 554 546 |
| 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. | 1482 1398 |
| 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. | 3481 3807 |
| 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. | 1226 1559 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 72 134 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1372 1538 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1092 1078 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1835 1689 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1041 1356 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1475 1783 |
| 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. | 990 1209 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 88.45 90.11 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.4 57.45 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 88.13 69.14 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 51.56 32.76 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 43.4 40.32 |
| 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. | 61.49 54.71 |
| 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. | 73.44 71.73 |
| 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. | 81.73 81.21 |
| 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. | 72.08 73.19 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 45.57 51.34 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 73.2 74.85 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 76.6 77.09 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 76.49 71.99 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 77.23 76.78 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 74.16 72.04 |
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. | 4541 4743 |
| 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". | 1456 1757 |
| 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. | 443 537 |
| 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" | 852 1074 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1029 1192 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 767 881 |
| 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. | 508 662 |
| 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". | 662 715 |
| Total touches in phase Set Pieces | 951 1199 |
| Total touches in phase Second ball | 1514 1789 |
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. | 172 159 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 675 636 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 54 100 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 240 265 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 418 600 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 40 108 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 31 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’ | 347 452 |
| 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 | 536 551 |
| 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 | 778 881 |
| 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’ | 475 571 |
| 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’ | 86 127 |
| Ball losses total | 2222 2582 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2946 3423 |
| 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 | 247 290 |
| 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 | 749 857 |
| 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 | 1067 1227 |
| 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 | 402 488 |
| 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 | 77 92 |
Defensive
| Ground duels won ⓘ Won ground duel. | 656 745 |
| Ground duels lost ⓘ Lost ground duel. | 655 726 |
| Ariel duels won ⓘ Won aerial duel. | 293 469 |
| Ariel duels lost ⓘ Lost aerial duel. | 309 421 |
| 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. | 665 712 |
| 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. | 348 385 |
| 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. | 681 846 |
| 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. | 327 438 |
| Tackles | 1311 1471 |
| Clearances by foot | 467 491 |
| Ground duels total | 1311 1471 |
| Ground duels won % | 50.04 50.65 |
| Ground duels lost % | 49.96 49.35 |
| Ariel duels total | 602 890 |
| Ariel duels won % | 48.67 52.7 |
| Ariel duels lost % | 51.33 47.3 |
| Defensive stability ⓘ The ability to defend well | 562.2 811.5 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 478 608 |
| Succesful dribbles | 5576 6211 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 342 379 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 733 785 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1347 1547 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 545 607 |
| 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 | 488 457 |
| 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 | 1450 1602 |
| 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 | 769 923 |
| 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 | 221 286 |
| 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 | 637 772 |
| 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 | 455 461 |
| 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 | 726 739 |
| 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 | 462 565 |
| 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 | 727 838 |
| 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 | 400 357 |
| 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 | 1242 1360 |
| 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 | 627 726 |
| 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 | 189 230 |
xG
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 25.46 27.55 |
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 25.46 27.55 |
| 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) | 2.06 0.86 |
| 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. | 4.5 5.65 |
| Xg with penalites ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a penalty | 0.78 0.78 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.06 1.1 |
| Open play Xg ⓘ Open play Xg value | 23.81 26.38 |
| Set piece Xg ⓘ Set piece Xg | 1.64 1.17 |
| Xg average per shot ⓘ Xg average per shot | 0.1 0.11 |
| Xg with foot ⓘ Xg with foot | 19.32 20.73 |
| 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. | -1.46 -2.55 |
| 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. | 1.5 -0.65 |
| Non-penalty xG (npxG) ⓘ Penalty goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 24.68 26.77 |
| 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 -0.39 |
| 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. | -1.06 0.14 |
| 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. | 1.6 0.62 |
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