VfB Stuttgart vs Liverpool FC: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – VfB Stuttgart or Liverpool 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 VfB Stuttgart vs. Liverpool FC - Who Is Better?
VfB Stuttgart has a 1vs1 Score of 73.18 while Liverpool FC has a 1vs1 Score of 72.88, showing which team is performing better this season. View VfB Stuttgart's Position in 1vs1 Best Team Ranking | View Liverpool FC's Position in 1vs1 Best Team Ranking
Liverpool FC has won 651 ground duels versus 588 for VfB Stuttgart, with Liverpool FC ranking 18 and VfB Stuttgart ranking 8 in the league for ground duels won. See Full Ground duels won Ranking
VfB Stuttgart has accumulated 29.79 expected goals against while Liverpool FC faces 29.6, with VfB Stuttgart ranking 8 and Liverpool FC ranking 3 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 37 39 |
| Goals | 1.85 1.63 |
| Shot at goal number ⓘ Number of shots. | 312 369 |
| Shots on Goal | 209 251 |
| Goals conceeded | 25 33 |
| Goals conceeded | 1.25 1.38 |
| Matches won | 12 11 |
| Matches lost | 5 7 |
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 | LIV | |
| 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 Liverpool FC's 5 - highlighting their ability to fashion high-quality chances
Liverpool FC records 118 shots that miss the target completely versus VfB Stuttgart's 103 - showcasing their shooting accuracy variance
VfB Stuttgart completes 1641 passes from the right flank while Liverpool FC manages 2313 - exposing their right-sided distribution patterns
Compare Yourself
VfB Stuttgart Compare VfB Stuttgart
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VfB Stuttgart’s and Liverpool FC’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
Jamie Leweling
1
#24
Bilal El Khannouss
1
#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
2
#16
Alexander Nubel
3
#17
Deniz Undav
5
#18
Maximilian Mittelstadt
5
#19
Angelo Stiller
6
#20
Ameen Al-Dakhil
6
#21
Chris Fuhrich
7
#22
Atakan Karazor
8
#23
Jamie Leweling
8
#24
Josha Vagnoman
9
#25
Bilal El Khannouss
9
#26
Tiago Tomas
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
9
#19
Tiago Tomas
13
#20
Atakan Karazor
24
#21
Maximilian Mittelstadt
25
#22
Josha Vagnoman
29
#23
Chris Fuhrich
29
#24
Jamie Leweling
36
#25
Angelo Stiller
39
#26
Bilal El Khannouss
54
#1
Tiago Tomas
2.11
#2
Deniz Undav
1.78
#3
Jamie Leweling
0.75
#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
Milos Kerkez
0
No.
Player
Value
#1
Milos Kerkez
0
#2
Wataru Endo
0
#3
Curtis Jones
0
#4
Jeremie Frimpong
0
#5
Alexis Mac Allister
0
#6
Andrew Robertson
0
#7
Joe Gomez
0
#8
Alisson
0
#9
Rio Ngumoha
0
#10
Harvey Elliott
0
#11
Conor Bradley
0
#12
Giorgi Mamardashvili
0
#13
Trey Nyoni
0
#14
Virgil van Dijk
0
#15
Alexander Isak
0
#16
Mohamed Salah
0
#17
Federico Chiesa
0
#18
Ibrahima Konate
0
#19
Cody Gakpo
0
#20
Florian Wirtz
0
#21
Dominik Szoboszlai
0
#22
Ryan Gravenberch
0
#23
Hugo Ekitike
1
#1
Milos Kerkez
0
No.
Player
Value
#1
Milos Kerkez
0
#2
Alisson
0
#3
Rio Ngumoha
0
#4
Trey Nyoni
0
#5
Harvey Elliott
1
#6
Alexander Isak
1
#7
Mohamed Salah
1
#8
Virgil van Dijk
2
#9
Giorgi Mamardashvili
2
#10
Andrew Robertson
2
#11
Cody Gakpo
2
#12
Jeremie Frimpong
2
#13
Hugo Ekitike
2
#14
Florian Wirtz
3
#15
Federico Chiesa
3
#16
Ryan Gravenberch
3
#17
Joe Gomez
3
#18
Alexis Mac Allister
4
#19
Wataru Endo
4
#20
Dominik Szoboszlai
5
#21
Conor Bradley
5
#22
Ibrahima Konate
7
#23
Curtis Jones
11
#1
Milos Kerkez
0
#2
Alisson
0
#3
Rio Ngumoha
0
#4
Trey Nyoni
0
No.
Player
Value
#1
Milos Kerkez
0
#2
Alisson
0
#3
Rio Ngumoha
0
#4
Trey Nyoni
0
#5
Harvey Elliott
1
#6
Alexander Isak
1
#7
Giorgi Mamardashvili
1
#8
Wataru Endo
2
#9
Federico Chiesa
3
#10
Hugo Ekitike
4
#11
Joe Gomez
5
#12
Andrew Robertson
6
#13
Mohamed Salah
6
#14
Virgil van Dijk
6
#15
Cody Gakpo
10
#16
Jeremie Frimpong
11
#17
Alexis Mac Allister
12
#18
Florian Wirtz
15
#19
Conor Bradley
16
#20
Ryan Gravenberch
19
#21
Ibrahima Konate
24
#22
Dominik Szoboszlai
25
#23
Curtis Jones
45
#1
Curtis Jones
0.64
#2
Hugo Ekitike
0.64
#3
Dominik Szoboszlai
0.48
#4
Cody Gakpo
0.37
No.
Player
Value
#1
Curtis Jones
1
#2
Hugo Ekitike
1
#3
Dominik Szoboszlai
0
#4
Cody Gakpo
0
#5
Florian Wirtz
0
#6
Ibrahima Konate
0
#7
Mohamed Salah
0
#8
Alexis Mac Allister
0
#9
Ryan Gravenberch
0
#10
Federico Chiesa
0
#11
Alexander Isak
0
#12
Conor Bradley
0
#13
Virgil van Dijk
0
#14
Jeremie Frimpong
0
#15
Andrew Robertson
0
#16
Joe Gomez
0
#17
Milos Kerkez
0
#18
Wataru Endo
0
#19
Alisson
0
#20
Rio Ngumoha
0
#21
Harvey Elliott
0
#22
Giorgi Mamardashvili
0
#23
Trey Nyoni
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.
#37
VfB Stuttgart
579
#38
Villarreal
576
#39
Real Betis
568
#40
Everton FC
565
Weak Stats
These are the areas where VfB Stuttgart`s performance falls below the league average.
Liverpool FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Liverpool FC is among the very best, setting the standard for the league.
#1
Liverpool FC
406
#1
Liverpool FC
193
#2
Bayern Munich
184
#3
Inter Milan
177
#4
Real Madrid
173
Very Good Stats
These are the areas where Liverpool FC consistently performs at a high level, placing him near the top of the league.
#2
Liverpool FC
397
#3
Barcelona
395
#4
Bayern Munich
377
#5
Arsenal FC
354
#2
Liverpool FC
1109
#3
Barcelona
1098
#4
Paris Saint-Germain
1097
#5
Real Madrid
1058
Average Stats
These stats show Liverpool FC`s solid, reliable contributions that are in line with the majority of players in his position.
Performance per season
Expected Threat & Involvement Analysis
VfB Stuttgart has an Expected Threat of 5364.55 - ranking 4 and measuring their ability to advance the ball into dangerous positions, while Liverpool FC generates 8849.09 Expected Threat - sitting at 1, 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 404.82 - placing them 12 defensively, indicating how much dangerous ball progression they allow opponents, while Liverpool FC concedes 522.97 Expected Threat against - ranking 15, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
VfB Stuttgart recorded 174 Critical ball losses - ranking 12 in possession security, meaning they've given the ball away in trouble spots, while Liverpool FC suffered 186 such losses - sitting at 10, 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. | 5364.55 8849.09 |
| 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. | 404.82 522.97 |
| 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. | 174 186 |
| 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. | 1351 1851 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.98 1.11 |
Ratings and Scores
Compare VfB Stuttgart & Liverpool 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, | 73.18 72.88 |
| 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. | 65.37 66.92 |
| 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 | 72.09 69.97 |
| Offensive interventions | 139.3 135.13 |
Goals & Assists
| Goals | 37 39 |
| Assists ⓘ Creating goals, playing the final pass. | 35 34 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 2 |
| Goals by head ⓘ Goals by head | 4 3 |
| Penalty goals ⓘ Penalty goals | 3 1 |
| Goals by freekick ⓘ Goals by freekick | 0 1 |
| Goals by foot | 29 33 |
| Shots on Goal | 209 251 |
| 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. | 8.67 7.8 |
Goals & Shots conceded
| Goals conceeded | 25 33 |
| Goals by head conceeded | 1 3 |
| Goals by foot conceeded | 19 28 |
| Shots on goal conceeded | 169 174 |
| Goals per 90 min conceeded | 1.25 1.38 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3777 4652 |
| 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 | 3028 3656 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7176 9764 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 121 148 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 167 172 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 283 406 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 43 45 |
| 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. | 636 683 |
| 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. | 1520 1937 |
| Total successful passes from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 4864 5890 |
| 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. | 1884 3113 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 103 193 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1641 2313 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1431 2008 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2395 2985 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1559 2260 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1981 2250 |
| 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. | 1351 1851 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 92.18 93.03 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.41 63.52 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.28 90.02 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 57.33 50 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 43.95 44.33 |
| 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. | 66.6 64.86 |
| 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. | 77.79 79.68 |
| 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. | 87.03 88.16 |
| 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. | 78.08 83.08 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.5 54.37 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 80.27 82.42 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 82.23 86.42 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.91 82.46 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 83.15 82.43 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 79.85 80.7 |
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. | 6592 9075 |
| 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". | 1589 1818 |
| 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. | 457 509 |
| 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" | 851 941 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 905 916 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 772 917 |
| 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. | 487 703 |
| 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". | 648 731 |
| Total touches in phase Set Pieces | 944 1212 |
| Total touches in phase Second ball | 1499 1672 |
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. | 174 186 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 609 732 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 64 85 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 213 216 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 430 536 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 45 45 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 32 45 |
| 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’ | 319 370 |
| 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 | 434 494 |
| 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 | 725 791 |
| 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’ | 529 634 |
| 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’ | 86 162 |
| Ball losses total | 2093 2451 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2786 3243 |
| 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 | 216 240 |
| 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 | 591 726 |
| 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 | 1082 1139 |
| 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 | 398 513 |
| 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 | 75 132 |
Defensive
| Ground duels won ⓘ Won ground duel. | 588 651 |
| Ground duels lost ⓘ Lost ground duel. | 584 616 |
| Ariel duels won ⓘ Won aerial duel. | 316 363 |
| Ariel duels lost ⓘ Lost aerial duel. | 266 258 |
| 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. | 553 590 |
| 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. | 297 296 |
| 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. | 707 853 |
| 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. | 342 393 |
| Tackles | 1172 1267 |
| Clearances by foot | 409 437 |
| Ground duels total | 1172 1267 |
| Ground duels won % | 50.17 51.38 |
| Ground duels lost % | 49.83 48.62 |
| Ariel duels total | 582 621 |
| Ariel duels won % | 54.3 58.45 |
| Ariel duels lost % | 45.7 41.55 |
| Defensive stability ⓘ The ability to defend well | 562.4 746.9 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 588 795 |
| Succesful dribbles | 7223 9977 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 319 388 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 680 895 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1822 1968 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 745 1123 |
| 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 | 429 580 |
| 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 | 1768 1935 |
| 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 | 1048 1413 |
| 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 | 303 438 |
| 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 | 698 988 |
| 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 | 524 761 |
| 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 | 896 989 |
| 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 | 579 816 |
| 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 | 929 907 |
| 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 | 375 514 |
| 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 | 1511 1650 |
| 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 | 842 1109 |
| 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 | 245 313 |
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. | 35.17 42.26 |
| 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. | 35.17 42.26 |
| 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 2.12 |
| 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. | 6.33 6.02 |
| 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 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.98 1.11 |
| Open play Xg ⓘ Open play Xg value | 31.68 39.96 |
| Set piece Xg ⓘ Set piece Xg | 3.49 2.3 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.11 |
| Xg with foot ⓘ Xg with foot | 25.36 33.95 |
| 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. | 0.83 -4.26 |
| 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. | -2.33 -3.02 |
| 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. | 32.05 40.7 |
| 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 0.26 |
| 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 -0.12 |
| 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. | -0.14 -2.31 |
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