Eintracht Frankfurt vs Wolverhampton Wanderers: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Eintracht Frankfurt or Wolverhampton Wanderers? 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 Eintracht Frankfurt vs. Wolverhampton Wanderers - Who Is Better?
Eintracht Frankfurt has a 1vs1 Score of 61.8 while Wolverhampton Wanderers has a 1vs1 Score of 53.19, showing which team is performing better this season. View Eintracht Frankfurt's Position in 1vs1 Best Team Ranking | View Wolverhampton Wanderers's Position in 1vs1 Best Team Ranking
Wolverhampton Wanderers has won 762 ground duels versus 654 for Eintracht Frankfurt, with Wolverhampton Wanderers ranking 10 and Eintracht Frankfurt ranking 5 in the league for ground duels won. See Full Ground duels won Ranking
Eintracht Frankfurt has accumulated 35.26 expected goals against while Wolverhampton Wanderers faces 37.81, with Eintracht Frankfurt ranking 14 and Wolverhampton Wanderers ranking 16 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 41 16 |
| Goals | 1.95 0.64 |
| Shot at goal number ⓘ Number of shots. | 234 229 |
| Shots on Goal | 161 148 |
| Goals conceeded | 45 44 |
| Goals conceeded | 2.14 1.76 |
| Matches won | 7 1 |
| Matches lost | 7 19 |
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 Eintracht Frankfurt`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| EIN | WOL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Eintracht Frankfurt creates 7 clear goal-scoring opportunities compared to Wolverhampton Wanderers's 4 - highlighting their ability to fashion high-quality chances
Wolverhampton Wanderers records 81 shots that miss the target completely versus Eintracht Frankfurt's 73 - showcasing their shooting accuracy variance
Eintracht Frankfurt completes 2236 passes from the right flank while Wolverhampton Wanderers manages 1450 - exposing their right-sided distribution patterns
Compare Yourself
Eintracht Frankfurt Compare Eintracht Frankfurt
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Eintracht Frankfurt’s and Wolverhampton Wanderers’s Total Squad Salary
Salary Stats
#1
Can Uzun
0
No.
Player
Value
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
#5
Michael Zetterer
0
#6
Jean-Matteo Bahoya
0
#7
Mario Gotze
0
#8
Elye Wahi
0
#9
Ansgar Knauff
0
#10
Aurelio Buta
0
#11
Kaua Santos
0
#12
Aurele Amenda
0
#13
Ellyes Skhiri
0
#14
Jessic Ngankam
0
#15
Elias Baum
0
#16
Younes Ebnoutalib
0
#17
Ayoube Amaimouni-Echghouyab
0
#18
Arthur Theate
0
#19
Michy Batshuayi
0
#20
Rasmus Kristensen
0
#21
Robin Koch
1
#22
Hugo Larsson
1
#23
Arnaud Kalimuendo
1
#24
Mahmoud Dahoud
1
#25
Ritsu Doan
1
#26
Nathaniel Brown
2
#27
Jonathan Burkardt
2
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
No.
Player
Value
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
#5
Jean-Matteo Bahoya
0
#6
Ansgar Knauff
0
#7
Aurelio Buta
0
#8
Kaua Santos
0
#9
Aurele Amenda
0
#10
Jessic Ngankam
0
#11
Elias Baum
0
#12
Younes Ebnoutalib
0
#13
Ayoube Amaimouni-Echghouyab
0
#14
Arnaud Kalimuendo
4
#15
Jonathan Burkardt
4
#16
Michael Zetterer
5
#17
Elye Wahi
5
#18
Michy Batshuayi
6
#19
Rasmus Kristensen
7
#20
Ellyes Skhiri
7
#21
Mario Gotze
7
#22
Mahmoud Dahoud
7
#23
Robin Koch
8
#24
Ritsu Doan
8
#25
Arthur Theate
10
#26
Hugo Larsson
15
#27
Nathaniel Brown
34
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
No.
Player
Value
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
#5
Jean-Matteo Bahoya
0
#6
Ansgar Knauff
0
#7
Aurelio Buta
0
#8
Kaua Santos
0
#9
Aurele Amenda
0
#10
Jessic Ngankam
0
#11
Elias Baum
0
#12
Younes Ebnoutalib
0
#13
Ayoube Amaimouni-Echghouyab
0
#14
Michy Batshuayi
2
#15
Elye Wahi
3
#16
Jonathan Burkardt
3
#17
Michael Zetterer
3
#18
Arnaud Kalimuendo
4
#19
Mahmoud Dahoud
10
#20
Robin Koch
10
#21
Mario Gotze
11
#22
Ellyes Skhiri
12
#23
Ritsu Doan
22
#24
Hugo Larsson
30
#25
Arthur Theate
35
#26
Rasmus Kristensen
36
#27
Nathaniel Brown
75
#1
Nathaniel Brown
1.39
#2
Jonathan Burkardt
1.13
#3
Ritsu Doan
0.45
#4
Michy Batshuayi
0.43
No.
Player
Value
#1
Nathaniel Brown
1
#2
Jonathan Burkardt
1
#3
Ritsu Doan
0
#4
Michy Batshuayi
0
#5
Arnaud Kalimuendo
0
#6
Hugo Larsson
0
#7
Elye Wahi
0
#8
Mahmoud Dahoud
0
#9
Robin Koch
0
#10
Rasmus Kristensen
0
#11
Arthur Theate
0
#12
Ellyes Skhiri
0
#13
Mario Gotze
0
#14
Can Uzun
0
#15
Nnamdi Collins
0
#16
Fares Chaibi
0
#17
Oscar Hojlund
0
#18
Michael Zetterer
0
#19
Jean-Matteo Bahoya
0
#20
Ansgar Knauff
0
#21
Aurelio Buta
0
#22
Kaua Santos
0
#23
Aurele Amenda
0
#24
Jessic Ngankam
0
#25
Elias Baum
0
#26
Younes Ebnoutalib
0
#27
Ayoube Amaimouni-Echghouyab
0
Salary Stats
#1
Fer Lopez
0
No.
Player
Value
#1
Fer Lopez
0
#2
Ki-Jana Hoever
0
#3
Jose Sa
0
#4
Hugo Bueno
0
#5
Andre
0
#6
Joao Gomes
0
#7
Emmanuel Agbadou
0
#8
Matt Doherty
0
#9
Toti
0
#10
David Moller Wolfe
0
#11
Jackson Tchatchoua
0
#12
Sasa Kalajdzic
0
#13
Sam Johnstone
0
#14
Tolu Arokodare
0
#15
Yerson Mosquera
0
#16
Mateus Mane
0
#17
Tawanda Chirewa
0
#18
Pedro Lima
0
#19
Angel Gomes
0
#20
Adam Armstrong
0
#21
Jorgen Strand Larsen
0
#22
Jean-Ricner Bellegarde
0
#23
Marshall Munetsi
0
#24
Jhon Arias
0
#25
Hee-chan Hwang
0
#26
Rodrigo Gomes
1
#27
Ladislav Krejci
1
#28
Santiago Bueno
1
#1
Fer Lopez
0
No.
Player
Value
#1
Fer Lopez
0
#2
Hugo Bueno
0
#3
Andre
0
#4
Toti
0
#5
David Moller Wolfe
0
#6
Jackson Tchatchoua
0
#7
Tolu Arokodare
0
#8
Mateus Mane
0
#9
Tawanda Chirewa
0
#10
Pedro Lima
0
#11
Angel Gomes
1
#12
Adam Armstrong
1
#13
Sasa Kalajdzic
1
#14
Matt Doherty
5
#15
Marshall Munetsi
6
#16
Jorgen Strand Larsen
7
#17
Jose Sa
7
#18
Sam Johnstone
7
#19
Jean-Ricner Bellegarde
8
#20
Hee-chan Hwang
8
#21
Joao Gomes
10
#22
Emmanuel Agbadou
10
#23
Jhon Arias
10
#24
Santiago Bueno
11
#25
Ladislav Krejci
12
#26
Rodrigo Gomes
15
#27
Ki-Jana Hoever
15
#28
Yerson Mosquera
20
#1
Fer Lopez
0
No.
Player
Value
#1
Fer Lopez
0
#2
Hugo Bueno
0
#3
Andre
0
#4
Toti
0
#5
David Moller Wolfe
0
#6
Jackson Tchatchoua
0
#7
Tolu Arokodare
0
#8
Mateus Mane
0
#9
Tawanda Chirewa
0
#10
Pedro Lima
0
#11
Adam Armstrong
0
#12
Sasa Kalajdzic
0
#13
Angel Gomes
2
#14
Jorgen Strand Larsen
4
#15
Marshall Munetsi
5
#16
Jose Sa
6
#17
Sam Johnstone
7
#18
Jean-Ricner Bellegarde
8
#19
Santiago Bueno
10
#20
Hee-chan Hwang
10
#21
Matt Doherty
11
#22
Jhon Arias
13
#23
Rodrigo Gomes
19
#24
Joao Gomes
22
#25
Ladislav Krejci
25
#26
Emmanuel Agbadou
28
#27
Ki-Jana Hoever
31
#28
Yerson Mosquera
37
#1
Yerson Mosquera
1.17
#2
Jorgen Strand Larsen
0.8
#3
Jhon Arias
0.8
#4
Ladislav Krejci
0.68
No.
Player
Value
#1
Yerson Mosquera
1
#2
Jorgen Strand Larsen
1
#3
Jhon Arias
1
#4
Ladislav Krejci
1
#5
Rodrigo Gomes
1
#6
Santiago Bueno
1
#7
Marshall Munetsi
1
#8
Hee-chan Hwang
1
#9
Joao Gomes
0
#10
Emmanuel Agbadou
0
#11
Jean-Ricner Bellegarde
0
#12
Matt Doherty
0
#13
Ki-Jana Hoever
0
#14
Fer Lopez
0
#15
Jose Sa
0
#16
Hugo Bueno
0
#17
Andre
0
#18
Toti
0
#19
David Moller Wolfe
0
#20
Jackson Tchatchoua
0
#21
Sasa Kalajdzic
0
#22
Sam Johnstone
0
#23
Tolu Arokodare
0
#24
Mateus Mane
0
#25
Tawanda Chirewa
0
#26
Pedro Lima
0
#27
Angel Gomes
0
#28
Adam Armstrong
0
Eintracht Frankfurt: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Eintracht Frankfurt consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Eintracht Frankfurt`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Eintracht Frankfurt`s performance falls below the league average.
Wolverhampton Wanderers: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Wolverhampton Wanderers consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Wolverhampton Wanderers`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Wolverhampton Wanderers`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Eintracht Frankfurt has an Expected Threat of 4787.39 - ranking 6 and measuring their ability to advance the ball into dangerous positions, while Wolverhampton Wanderers generates 4132.22 Expected Threat - sitting at 18, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Eintracht Frankfurt has an Expected Threat against of 373.64 - placing them 15 defensively, indicating how much dangerous ball progression they allow opponents, while Wolverhampton Wanderers concedes 624.63 Expected Threat against - ranking 6, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Eintracht Frankfurt recorded 195 Critical ball losses - ranking 16 in possession security, meaning they've given the ball away in trouble spots, while Wolverhampton Wanderers suffered 168 such losses - sitting at 5, 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. | 4787.39 4132.22 |
| 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. | 373.64 624.63 |
| 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. | 195 168 |
| 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. | 1221 1057 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.68 1.76 |
Ratings and Scores
Compare Eintracht Frankfurt & Wolverhampton Wanderers`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, | 61.8 53.19 |
| 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. | 54.02 55.73 |
| 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 | 68.5 52.21 |
| Offensive interventions | 139.76 135.12 |
Goals & Assists
| Goals | 41 16 |
| Assists ⓘ Creating goals, playing the final pass. | 34 14 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 3 0 |
| Goals by head ⓘ Goals by head | 6 3 |
| Penalty goals ⓘ Penalty goals | 3 2 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 32 10 |
| Shots on Goal | 161 148 |
| 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. | 13.36 4.84 |
Goals & Shots conceded
| Goals conceeded | 45 44 |
| Goals by head conceeded | 9 6 |
| Goals by foot conceeded | 30 34 |
| Shots on goal conceeded | 170 233 |
| Goals per 90 min conceeded | 2.14 1.76 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3779 3746 |
| 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 | 3042 2853 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7155 6120 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 120 137 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 177 209 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 320 328 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 26 16 |
| 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. | 747 666 |
| 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. | 1889 1783 |
| 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. | 4643 4088 |
| 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. | 1546 1298 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 78 92 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 2236 1450 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1534 1231 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2234 2022 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1391 1354 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1508 1870 |
| 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. | 1221 1057 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.13 90.47 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 60 56.15 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 84.66 82.41 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 40 29.63 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 40.69 42.39 |
| 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. | 68.98 56.92 |
| 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. | 78.41 75.11 |
| 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. | 84.77 83.82 |
| 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. | 74.54 70.66 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 43.09 47.42 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 77.33 76.95 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.58 81.08 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.68 74.67 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.48 75.61 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 77.91 71.92 |
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. | 6634 5335 |
| 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". | 1554 1806 |
| 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. | 409 470 |
| 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" | 830 977 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 984 1140 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 797 806 |
| 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. | 496 744 |
| 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". | 684 726 |
| Total touches in phase Set Pieces | 905 1214 |
| Total touches in phase Second ball | 1514 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. | 195 168 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 696 645 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 80 107 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 258 284 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 442 554 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 58 70 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 39 38 |
| 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’ | 336 504 |
| 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 | 520 591 |
| 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 | 834 789 |
| 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’ | 528 539 |
| 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’ | 103 102 |
| Ball losses total | 2321 2525 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2935 3378 |
| 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 | 194 318 |
| 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 | 686 1017 |
| 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 | 1117 1097 |
| 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 | 427 425 |
| 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 | 74 75 |
Defensive
| Ground duels won ⓘ Won ground duel. | 654 762 |
| Ground duels lost ⓘ Lost ground duel. | 691 790 |
| Ariel duels won ⓘ Won aerial duel. | 225 343 |
| Ariel duels lost ⓘ Lost aerial duel. | 312 358 |
| 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. | 619 687 |
| 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. | 314 427 |
| 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. | 646 707 |
| 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. | 371 472 |
| Tackles | 1345 1552 |
| Clearances by foot | 482 536 |
| Ground duels total | 1345 1552 |
| Ground duels won % | 48.62 49.1 |
| Ground duels lost % | 51.38 50.9 |
| Ariel duels total | 537 701 |
| Ariel duels won % | 41.9 48.93 |
| Ariel duels lost % | 58.1 51.07 |
| Defensive stability ⓘ The ability to defend well | 405.2 685.2 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 532 646 |
| Succesful dribbles | 7354 6557 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 377 469 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 840 948 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1646 1527 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 671 525 |
| 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 | 571 603 |
| 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 | 1711 1703 |
| 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 | 957 763 |
| 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 | 264 294 |
| 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 | 1073 717 |
| 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 | 556 523 |
| 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 | 783 884 |
| 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 | 533 549 |
| 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 | 644 847 |
| 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 | 493 471 |
| 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 | 1503 1406 |
| 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 | 773 599 |
| 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 | 214 257 |
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. | 27.77 26.43 |
| 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. | 27.77 26.43 |
| 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) | 1.35 1.36 |
| 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 5.03 |
| 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 | 2.34 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.68 1.76 |
| Open play Xg ⓘ Open play Xg value | 24.94 23.19 |
| Set piece Xg ⓘ Set piece Xg | 2.82 3.24 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.12 |
| Xg with foot ⓘ Xg with foot | 21.41 18.16 |
| 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. | 13.23 -11.43 |
| 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 -2.03 |
| 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. | 25.43 24.09 |
| 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. | -0.49 -0.9 |
| 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. | 1.65 -1.36 |
| 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. | 1.5 0.37 |
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