VfB Stuttgart vs Brentford: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – VfB Stuttgart or Brentford? 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. Brentford - Who Is Better?
VfB Stuttgart has a 1vs1 Score of 71.52 while Brentford has a 1vs1 Score of 67.98, showing which team is performing better this season. View VfB Stuttgart's Position in 1vs1 Best Team Ranking | View Brentford's Position in 1vs1 Best Team Ranking
Brentford has won 636 ground duels versus 607 for VfB Stuttgart, with Brentford ranking 20 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 Brentford faces 39.52, with VfB Stuttgart ranking 8 and Brentford ranking 18 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 38 39 |
| Goals | 1.81 1.56 |
| Shot at goal number ⓘ Number of shots. | 321 249 |
| Shots on Goal | 216 172 |
| Goals conceeded | 27 32 |
| Goals conceeded | 1.29 1.28 |
| Matches won | 12 12 |
| Matches lost | 6 10 |
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 | BRE | |
| 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 Brentford's 6 - highlighting their ability to fashion high-quality chances
Brentford records 77 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 Brentford manages 1847 - exposing their right-sided distribution patterns
Compare Yourself
VfB Stuttgart Compare VfB Stuttgart
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VfB Stuttgart’s and Brentford’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
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
No.
Player
Value
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
#5
Rico Henry
0
#6
Caoimhin Kelleher
0
#7
Sepp van den Berg
0
#8
Aaron Hickey
0
#9
Kevin Schade
0
#10
Frank Onyeka
0
#11
Kristoffer Ajer
0
#12
Ethan Pinnock
0
#13
Reiss Nelson
0
#14
Myles Peart-Harris
0
#15
Romelle Donovan
0
#16
Mikkel Damsgaard
0
#17
Fabio Carvalho
0
#18
Nathan Collins
1
#19
Vitaly Janelt
1
#20
Mathias Jensen
1
#21
Keane Lewis-Potter
1
#22
Dango Ouattara
2
#23
Igor Thiago
6
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
No.
Player
Value
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
#5
Kevin Schade
0
#6
Myles Peart-Harris
0
#7
Romelle Donovan
0
#8
Reiss Nelson
2
#9
Ethan Pinnock
3
#10
Frank Onyeka
4
#11
Fabio Carvalho
5
#12
Aaron Hickey
5
#13
Mikkel Damsgaard
6
#14
Mathias Jensen
10
#15
Caoimhin Kelleher
10
#16
Keane Lewis-Potter
10
#17
Kristoffer Ajer
10
#18
Igor Thiago
11
#19
Dango Ouattara
12
#20
Rico Henry
14
#21
Vitaly Janelt
14
#22
Nathan Collins
17
#23
Sepp van den Berg
23
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
No.
Player
Value
#1
Antoni Milambo
0
#2
Jordan Henderson
0
#3
Michael Kayode
0
#4
Yegor Yarmolyuk
0
#5
Kevin Schade
0
#6
Myles Peart-Harris
0
#7
Romelle Donovan
0
#8
Fabio Carvalho
2
#9
Frank Onyeka
3
#10
Ethan Pinnock
4
#11
Reiss Nelson
6
#12
Aaron Hickey
7
#13
Caoimhin Kelleher
11
#14
Igor Thiago
12
#15
Kristoffer Ajer
17
#16
Keane Lewis-Potter
17
#17
Rico Henry
26
#18
Mikkel Damsgaard
27
#19
Mathias Jensen
28
#20
Dango Ouattara
30
#21
Sepp van den Berg
32
#22
Nathan Collins
36
#23
Vitaly Janelt
53
#1
Igor Thiago
5.08
#2
Dango Ouattara
1.79
#3
Sepp van den Berg
1.25
#4
Mathias Jensen
0.64
No.
Player
Value
#1
Igor Thiago
5
#2
Dango Ouattara
2
#3
Sepp van den Berg
1
#4
Mathias Jensen
1
#5
Keane Lewis-Potter
1
#6
Nathan Collins
0
#7
Vitaly Janelt
0
#8
Fabio Carvalho
0
#9
Mikkel Damsgaard
0
#10
Kristoffer Ajer
0
#11
Reiss Nelson
0
#12
Rico Henry
0
#13
Aaron Hickey
0
#14
Antoni Milambo
0
#15
Jordan Henderson
0
#16
Michael Kayode
0
#17
Yegor Yarmolyuk
0
#18
Caoimhin Kelleher
0
#19
Kevin Schade
0
#20
Frank Onyeka
0
#21
Ethan Pinnock
0
#22
Myles Peart-Harris
0
#23
Romelle Donovan
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
Brentford: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Brentford is among the very best, setting the standard for the league.
#1
Brentford
0.16
Very Good Stats
These are the areas where Brentford consistently performs at a high level, placing him near the top of the league.
#2
Brentford
510
#3
Chelsea
502
#4
Rayo Vallecano
500
#5
Fulham
493
Average Stats
These stats show Brentford`s solid, reliable contributions that are in line with the majority of players in his position.
#51
Brentford
595
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 Brentford generates 4397.23 Expected Threat - sitting at 19, 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 Brentford concedes 699.3 Expected Threat against - ranking 5, 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 Brentford suffered 191 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. | 6121.82 4397.23 |
| 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. | 435.58 699.3 |
| 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. | 191 191 |
| 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 1118 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.98 1.04 |
Ratings and Scores
Compare VfB Stuttgart & Brentford`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 67.98 |
| 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 62.05 |
| 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 66.03 |
| Offensive interventions | 139.1 143.36 |
Goals & Assists
| Goals | 38 39 |
| Assists ⓘ Creating goals, playing the final pass. | 36 30 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 1 |
| Goals by head ⓘ Goals by head | 4 6 |
| Penalty goals ⓘ Penalty goals | 3 6 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 30 26 |
| Shots on Goal | 216 172 |
| 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 11.66 |
Goals & Shots conceded
| Goals conceeded | 27 32 |
| Goals by head conceeded | 1 8 |
| Goals by foot conceeded | 20 20 |
| Shots on goal conceeded | 182 230 |
| Goals per 90 min conceeded | 1.29 1.28 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3967 3715 |
| 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 2895 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7663 6210 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 128 108 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 173 196 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 302 276 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 44 33 |
| 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. | 666 730 |
| 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 1972 |
| 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 4034 |
| 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 1262 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 109 110 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1740 1847 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1523 1284 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2546 2004 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1676 1310 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2088 1663 |
| 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 1118 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 92.23 89.11 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.31 57.75 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.29 72.06 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 56.41 44 |
| 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 45.27 |
| 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 59.69 |
| 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 76.52 |
| 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 80.34 |
| 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 67.49 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.5 44 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 80.34 72.05 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 82.56 77.06 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 81.08 71.49 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 82.82 76.98 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 79.96 75.02 |
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 5241 |
| 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 1850 |
| 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. | 472 492 |
| 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 1145 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 943 1126 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 817 929 |
| 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. | 512 820 |
| 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". | 676 740 |
| Total touches in phase Set Pieces | 984 1312 |
| Total touches in phase Second ball | 1558 1885 |
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. | 191 191 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 646 759 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 68 79 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 223 237 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 452 661 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 48 107 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 34 42 |
| Ball losses in own box ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the area ‘own penalty area’ | 330 493 |
| 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 | 458 605 |
| 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 | 780 987 |
| 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’ | 552 608 |
| 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’ | 91 140 |
| Ball losses total | 2211 2833 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2921 3584 |
| 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 | 228 328 |
| 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 | 617 926 |
| 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 1290 |
| 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 | 408 482 |
| 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 | 81 102 |
Defensive
| Ground duels won ⓘ Won ground duel. | 607 636 |
| Ground duels lost ⓘ Lost ground duel. | 607 713 |
| Ariel duels won ⓘ Won aerial duel. | 325 386 |
| Ariel duels lost ⓘ Lost aerial duel. | 273 373 |
| 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. | 575 800 |
| 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. | 308 315 |
| 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. | 735 942 |
| 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. | 361 464 |
| Tackles | 1214 1349 |
| Clearances by foot | 426 472 |
| Ground duels total | 1214 1349 |
| Ground duels won % | 50 47.15 |
| Ground duels lost % | 50 52.85 |
| Ariel duels total | 598 759 |
| Ariel duels won % | 54.35 50.86 |
| Ariel duels lost % | 45.65 49.14 |
| Defensive stability ⓘ The ability to defend well | 563.1 595 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 625 591 |
| Succesful dribbles | 7693 6542 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 335 510 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 706 895 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1937 1500 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 770 538 |
| 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 | 452 653 |
| 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 1582 |
| 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 826 |
| 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 | 318 292 |
| 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 | 731 809 |
| 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 | 543 473 |
| 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 | 948 865 |
| 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 | 618 535 |
| 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 | 970 821 |
| 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 | 394 545 |
| 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 1341 |
| 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 | 880 648 |
| 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 | 257 254 |
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 39.43 |
| 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 39.43 |
| 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 0.94 |
| 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 7.41 |
| 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 6.24 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.98 1.04 |
| Open play Xg ⓘ Open play Xg value | 32.91 32.75 |
| Set piece Xg ⓘ Set piece Xg | 3.49 6.68 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.16 |
| Xg with foot ⓘ Xg with foot | 26.43 25.34 |
| 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 -1.43 |
| 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 -1.41 |
| 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 33.2 |
| 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 -0.45 |
| 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 0.06 |
| 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 -0.73 |
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