VfB Stuttgart vs Wolverhampton Wanderers: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – VfB Stuttgart 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 VfB Stuttgart vs. Wolverhampton Wanderers - Who Is Better?
VfB Stuttgart has a 1vs1 Score of 71.52 while Wolverhampton Wanderers has a 1vs1 Score of 53.19, showing which team is performing better this season. View VfB Stuttgart'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 607 for VfB Stuttgart, with Wolverhampton Wanderers ranking 13 and VfB Stuttgart ranking 10 in the league for ground duels won. See Full Ground duels won Ranking
VfB Stuttgart has accumulated 31.76 expected goals against while Wolverhampton Wanderers faces 37.81, with VfB Stuttgart ranking 8 and Wolverhampton Wanderers ranking 13 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 38 16 |
| Goals | 1.81 0.64 |
| Shot at goal number ⓘ Number of shots. | 321 229 |
| Shots on Goal | 216 148 |
| Goals conceeded | 27 44 |
| Goals conceeded | 1.29 1.76 |
| Matches won | 12 1 |
| Matches lost | 6 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 VfB Stuttgart`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| STU | WOL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
VfB Stuttgart creates 4 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 VfB Stuttgart's 105 - showcasing their shooting accuracy variance
VfB Stuttgart completes 1740 passes from the right flank while Wolverhampton Wanderers manages 1450 - exposing their right-sided distribution patterns
Compare Yourself
VfB Stuttgart Compare VfB Stuttgart
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VfB Stuttgart’s and Wolverhampton Wanderers’s Total Squad Salary
Salary Stats
#1
Alexander Nubel
0
No.
Player
Value
#1
Alexander Nubel
0
#2
Luca Jaquez
0
#3
Lazar Jovanovic
0
#4
Jeff Chabot
0
#5
Atakan Karazor
0
#6
Ramon Hendriks
0
#7
Nick Woltemade
0
#8
Finn Jeltsch
0
#9
Chema Andres
0
#10
Nikolas Nartey
0
#11
Lorenz Assignon
0
#12
Badredine Bouanani
0
#13
Ameen Al-Dakhil
0
#14
Pascal Stenzel
0
#15
Dan-Axel Zagadou
0
#16
Jeremy Arevalo
0
#17
Leonidas Stergiou
0
#18
Angelo Stiller
0
#19
Josha Vagnoman
0
#20
Maximilian Mittelstadt
1
#21
Chris Fuhrich
1
#22
Ermedin Demirovic
1
#23
Bilal El Khannouss
1
#24
Jamie Leweling
2
#25
Tiago Tomas
2
#26
Deniz Undav
2
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
No.
Player
Value
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
#5
Finn Jeltsch
0
#6
Chema Andres
0
#7
Nikolas Nartey
0
#8
Lorenz Assignon
0
#9
Badredine Bouanani
0
#10
Pascal Stenzel
0
#11
Jeremy Arevalo
0
#12
Leonidas Stergiou
0
#13
Nick Woltemade
0
#14
Dan-Axel Zagadou
1
#15
Ermedin Demirovic
3
#16
Alexander Nubel
3
#17
Deniz Undav
5
#18
Maximilian Mittelstadt
5
#19
Angelo Stiller
6
#20
Ameen Al-Dakhil
6
#21
Chris Fuhrich
8
#22
Jamie Leweling
8
#23
Atakan Karazor
8
#24
Josha Vagnoman
10
#25
Tiago Tomas
10
#26
Bilal El Khannouss
10
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
No.
Player
Value
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Jeff Chabot
0
#4
Ramon Hendriks
0
#5
Finn Jeltsch
0
#6
Chema Andres
0
#7
Nikolas Nartey
0
#8
Lorenz Assignon
0
#9
Badredine Bouanani
0
#10
Pascal Stenzel
0
#11
Jeremy Arevalo
0
#12
Leonidas Stergiou
0
#13
Nick Woltemade
0
#14
Ermedin Demirovic
2
#15
Alexander Nubel
2
#16
Dan-Axel Zagadou
6
#17
Ameen Al-Dakhil
8
#18
Deniz Undav
10
#19
Tiago Tomas
13
#20
Atakan Karazor
25
#21
Maximilian Mittelstadt
26
#22
Josha Vagnoman
30
#23
Chris Fuhrich
30
#24
Jamie Leweling
37
#25
Angelo Stiller
42
#26
Bilal El Khannouss
56
#1
Tiago Tomas
2.11
#2
Deniz Undav
1.84
#3
Jamie Leweling
0.76
#4
Josha Vagnoman
0.73
No.
Player
Value
#1
Tiago Tomas
2
#2
Deniz Undav
2
#3
Jamie Leweling
1
#4
Josha Vagnoman
1
#5
Bilal El Khannouss
1
#6
Ermedin Demirovic
1
#7
Maximilian Mittelstadt
1
#8
Angelo Stiller
0
#9
Chris Fuhrich
0
#10
Atakan Karazor
0
#11
Dan-Axel Zagadou
0
#12
Ameen Al-Dakhil
0
#13
Nick Woltemade
0
#14
Alexander Nubel
0
#15
Luca Jaquez
0
#16
Lazar Jovanovic
0
#17
Jeff Chabot
0
#18
Ramon Hendriks
0
#19
Finn Jeltsch
0
#20
Chema Andres
0
#21
Nikolas Nartey
0
#22
Lorenz Assignon
0
#23
Badredine Bouanani
0
#24
Pascal Stenzel
0
#25
Jeremy Arevalo
0
#26
Leonidas Stergiou
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
VfB Stuttgart: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show VfB Stuttgart`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where VfB Stuttgart`s performance falls below the league average.
#72
VfB Stuttgart
0
#72
VfB Stuttgart
0
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
VfB Stuttgart has an Expected Threat of 6121.82 - ranking 4 and measuring their ability to advance the ball into dangerous positions, while Wolverhampton Wanderers generates 4511.76 Expected Threat - sitting at 16, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
VfB Stuttgart has an Expected Threat against of 435.58 - placing them 12 defensively, indicating how much dangerous ball progression they allow opponents, while Wolverhampton Wanderers concedes 665.21 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
VfB Stuttgart recorded 191 Critical ball losses - ranking 13 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. | 6121.82 4511.76 |
| 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. | 435.58 665.21 |
| 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. | 191 168 |
| 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. | 1411 1057 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.98 1.76 |
Ratings and Scores
Compare VfB Stuttgart & 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, | 71.52 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. | 63.4 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 | 70.13 51.24 |
| Offensive interventions | 139.1 135.12 |
Goals & Assists
| Goals | 38 16 |
| Assists ⓘ Creating goals, playing the final pass. | 36 14 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 0 |
| Goals by head ⓘ Goals by head | 4 3 |
| Penalty goals ⓘ Penalty goals | 3 2 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 30 10 |
| Shots on Goal | 216 148 |
| 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. | 8.69 4.84 |
Goals & Shots conceded
| Goals conceeded | 27 44 |
| Goals by head conceeded | 1 6 |
| Goals by foot conceeded | 20 34 |
| Shots on goal conceeded | 182 233 |
| Goals per 90 min conceeded | 1.29 1.76 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3967 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 | 3174 2853 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7663 6120 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 128 137 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 173 209 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 302 328 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 44 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. | 666 666 |
| 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. | 1602 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. | 5229 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. | 1967 1298 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 109 92 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1740 1450 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1523 1231 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2546 2022 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1676 1354 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2088 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. | 1411 1057 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 92.23 90.47 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.31 56.15 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.29 82.41 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 56.41 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. | 43.69 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. | 66.87 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. | 77.77 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. | 87.02 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. | 78.09 70.66 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.5 47.42 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 80.34 76.95 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 82.56 81.08 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 81.08 74.67 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 82.82 75.61 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 79.96 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. | 7086 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". | 1644 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. | 472 470 |
| 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" | 882 977 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 943 1140 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 817 806 |
| 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. | 512 744 |
| 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". | 676 726 |
| Total touches in phase Set Pieces | 984 1214 |
| Total touches in phase Second ball | 1558 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. | 191 168 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 646 645 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 68 107 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 223 284 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 452 554 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 48 70 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 34 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’ | 330 504 |
| 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 | 458 591 |
| 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 | 780 789 |
| 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’ | 552 539 |
| 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’ | 91 102 |
| Ball losses total | 2211 2525 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2921 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 | 228 318 |
| 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 | 617 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 | 1139 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 | 408 425 |
| 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 | 81 75 |
Defensive
| Ground duels won ⓘ Won ground duel. | 607 762 |
| Ground duels lost ⓘ Lost ground duel. | 607 790 |
| Ariel duels won ⓘ Won aerial duel. | 325 343 |
| Ariel duels lost ⓘ Lost aerial duel. | 273 358 |
| 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. | 575 687 |
| 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. | 308 427 |
| 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. | 735 707 |
| 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. | 361 472 |
| Tackles | 1214 1552 |
| Clearances by foot | 426 536 |
| Ground duels total | 1214 1552 |
| Ground duels won % | 50 49.1 |
| Ground duels lost % | 50 50.9 |
| Ariel duels total | 598 701 |
| Ariel duels won % | 54.35 48.93 |
| Ariel duels lost % | 45.65 51.07 |
| Defensive stability ⓘ The ability to defend well | 563.1 685.2 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 625 646 |
| Succesful dribbles | 7693 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. | 335 469 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 706 948 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1937 1527 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 770 525 |
| 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 | 452 603 |
| 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 | 1865 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 | 1093 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 | 318 294 |
| 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 | 731 717 |
| 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 | 543 523 |
| 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 | 948 884 |
| 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 | 618 549 |
| 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 | 970 847 |
| 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 | 394 471 |
| 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 | 1587 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 | 880 599 |
| 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 | 257 257 |
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. | 36.4 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. | 36.4 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) | 1.76 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. | 6.49 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 | 3.12 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.98 1.76 |
| Open play Xg ⓘ Open play Xg value | 32.91 23.19 |
| Set piece Xg ⓘ Set piece Xg | 3.49 3.24 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.12 |
| Xg with foot ⓘ Xg with foot | 26.43 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. | 0.6 -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. | -2.49 -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. | 33.29 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. | -0.37 -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. | 0.24 -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. | -0.32 0.37 |
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