Borussia Monchengladbach vs Liverpool FC: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Borussia Monchengladbach 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 Borussia Monchengladbach vs. Liverpool FC - Who Is Better?
Borussia Monchengladbach has a 1vs1 Score of 60.24 while Liverpool FC has a 1vs1 Score of 72.31, showing which team is performing better this season. View Borussia Monchengladbach'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 649 for Borussia Monchengladbach, with Liverpool FC ranking 19 and Borussia Monchengladbach ranking 7 in the league for ground duels won. See Full Ground duels won Ranking
Borussia Monchengladbach has accumulated 30.96 expected goals against while Liverpool FC faces 29.6, with Borussia Monchengladbach ranking 6 and Liverpool FC ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 25 39 |
| Goals | 1.19 1.63 |
| Shot at goal number ⓘ Number of shots. | 217 369 |
| Shots on Goal | 155 251 |
| Goals conceeded | 32 33 |
| Goals conceeded | 1.52 1.38 |
| Matches won | 5 11 |
| Matches lost | 9 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 Borussia Monchengladbach`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| MOE | LIV | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Borussia Monchengladbach creates 3 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 Borussia Monchengladbach's 62 - showcasing their shooting accuracy variance
Borussia Monchengladbach completes 1607 passes from the right flank while Liverpool FC manages 2313 - exposing their right-sided distribution patterns
Compare Yourself
Borussia Monchengladbach Compare Borussia Monchengladbach
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Borussia Monchengladbach’s and Liverpool FC’s Total Squad Salary
Salary Stats
#1
Florian Neuhaus
0
#2
Lukas Ullrich
0
#3
Fabio Chiarodia
0
#4
Moritz Nicolas
0
No.
Player
Value
#1
Florian Neuhaus
0
#2
Lukas Ullrich
0
#3
Fabio Chiarodia
0
#4
Moritz Nicolas
0
#5
Kevin Stoger
0
#6
Kevin Diks
0
#7
Franck Honorat
0
#8
Rocco Reitz
0
#9
Robin Hack
0
#10
Luca Netz
0
#11
Nico Elvedi
0
#12
Shuto Machino
0
#13
Jens Castrop
0
#14
Grant-Leon Ranos
0
#15
Giovanni Reyna
0
#16
Yannik Engelhardt
0
#17
Charles Herrmann
0
#18
Jan Urbich
0
#19
Oscar Fraulo
0
#20
Marvin Friedrich
0
#21
Tim Kleindienst
0
#22
Wael Mohya
0
#23
Kota Takai
0
#24
Alejo Sarco
0
#25
Hugo Bolin
0
#26
Philipp Sander
1
#27
Joe Scally
1
#28
Haris Tabakovic
5
#1
Lukas Ullrich
0
#2
Fabio Chiarodia
0
#3
Kevin Diks
0
#4
Shuto Machino
0
No.
Player
Value
#1
Lukas Ullrich
0
#2
Fabio Chiarodia
0
#3
Kevin Diks
0
#4
Shuto Machino
0
#5
Jens Castrop
0
#6
Grant-Leon Ranos
0
#7
Yannik Engelhardt
0
#8
Charles Herrmann
0
#9
Jan Urbich
0
#10
Oscar Fraulo
0
#11
Tim Kleindienst
0
#12
Wael Mohya
0
#13
Kota Takai
0
#14
Alejo Sarco
0
#15
Hugo Bolin
0
#16
Robin Hack
1
#17
Marvin Friedrich
2
#18
Franck Honorat
4
#19
Florian Neuhaus
4
#20
Nico Elvedi
9
#21
Kevin Stoger
11
#22
Moritz Nicolas
11
#23
Giovanni Reyna
15
#24
Haris Tabakovic
16
#25
Joe Scally
17
#26
Luca Netz
17
#27
Rocco Reitz
19
#28
Philipp Sander
21
#1
Lukas Ullrich
0
#2
Fabio Chiarodia
0
#3
Kevin Diks
0
#4
Shuto Machino
0
No.
Player
Value
#1
Lukas Ullrich
0
#2
Fabio Chiarodia
0
#3
Kevin Diks
0
#4
Shuto Machino
0
#5
Jens Castrop
0
#6
Grant-Leon Ranos
0
#7
Yannik Engelhardt
0
#8
Charles Herrmann
0
#9
Jan Urbich
0
#10
Oscar Fraulo
0
#11
Wael Mohya
0
#12
Kota Takai
0
#13
Alejo Sarco
0
#14
Hugo Bolin
0
#15
Tim Kleindienst
0
#16
Marvin Friedrich
3
#17
Haris Tabakovic
6
#18
Moritz Nicolas
6
#19
Robin Hack
7
#20
Nico Elvedi
14
#21
Florian Neuhaus
15
#22
Franck Honorat
18
#23
Kevin Stoger
22
#24
Giovanni Reyna
28
#25
Luca Netz
30
#26
Joe Scally
39
#27
Philipp Sander
41
#28
Rocco Reitz
55
#1
Haris Tabakovic
5.07
No.
Player
Value
#1
Haris Tabakovic
5
#2
Rocco Reitz
1
#3
Joe Scally
1
#4
Kevin Stoger
1
#5
Giovanni Reyna
0
#6
Florian Neuhaus
0
#7
Philipp Sander
0
#8
Robin Hack
0
#9
Franck Honorat
0
#10
Nico Elvedi
0
#11
Luca Netz
0
#12
Lukas Ullrich
0
#13
Fabio Chiarodia
0
#14
Moritz Nicolas
0
#15
Kevin Diks
0
#16
Shuto Machino
0
#17
Jens Castrop
0
#18
Grant-Leon Ranos
0
#19
Yannik Engelhardt
0
#20
Charles Herrmann
0
#21
Jan Urbich
0
#22
Oscar Fraulo
0
#23
Marvin Friedrich
0
#24
Tim Kleindienst
0
#25
Wael Mohya
0
#26
Kota Takai
0
#27
Alejo Sarco
0
#28
Hugo Bolin
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
Borussia Monchengladbach: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Borussia Monchengladbach`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Borussia Monchengladbach`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
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
193
#3
Inter Milan
177
#4
Real Madrid
173
#5
Arsenal FC
161
#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.
Weak Stats
These are the areas where Liverpool FC`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Borussia Monchengladbach has an Expected Threat of 3873.82 - ranking 12 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
Borussia Monchengladbach has an Expected Threat against of 560.09 - placing them 1 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
Borussia Monchengladbach recorded 194 Critical ball losses - ranking 15 in possession security, meaning they've given the ball away in trouble spots, while Liverpool FC suffered 186 such losses - sitting at 9, 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. | 3873.82 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. | 560.09 522.97 |
| 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. | 194 186 |
| 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. | 889 1851 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.29 1.11 |
Ratings and Scores
Compare Borussia Monchengladbach & 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, | 60.24 72.31 |
| 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. | 57.32 66.08 |
| 1vs1 Index offensive ⓘ The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc | 60.8 69.2 |
| Offensive interventions | 138.48 135.13 |
Goals & Assists
| Goals | 25 39 |
| Assists ⓘ Creating goals, playing the final pass. | 20 34 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 2 |
| Goals by head ⓘ Goals by head | 6 3 |
| Penalty goals ⓘ Penalty goals | 3 1 |
| Goals by freekick ⓘ Goals by freekick | 0 1 |
| Goals by foot | 14 33 |
| Shots on Goal | 155 251 |
| 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. | 8.24 7.8 |
Goals & Shots conceded
| Goals conceeded | 32 33 |
| Goals by head conceeded | 4 3 |
| Goals by foot conceeded | 25 28 |
| Shots on goal conceeded | 207 174 |
| Goals per 90 min conceeded | 1.52 1.38 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3565 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 | 2826 3656 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6105 9764 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 78 148 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 178 172 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 276 406 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 26 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. | 801 683 |
| 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. | 1867 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. | 4041 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. | 1118 3113 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 80 193 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1607 2313 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1332 2008 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2249 2985 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1264 2260 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1455 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. | 889 1851 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.38 93.03 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 61.9 63.52 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.52 90.02 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 43.33 50 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 41.59 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. | 65.12 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. | 76.55 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. | 84.03 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. | 72.13 83.08 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 46.24 54.37 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 76.38 82.42 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 80.41 86.42 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 77.82 82.46 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.47 82.43 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 74.47 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. | 5619 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". | 1593 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. | 334 509 |
| 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" | 829 941 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1095 916 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 760 917 |
| 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. | 530 703 |
| 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". | 554 731 |
| Total touches in phase Set Pieces | 864 1212 |
| Total touches in phase Second ball | 1383 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. | 194 186 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 650 732 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 48 85 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 250 216 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 448 536 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 43 45 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 34 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’ | 429 370 |
| 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 | 572 494 |
| 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 | 768 791 |
| 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’ | 432 634 |
| 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’ | 93 162 |
| Ball losses total | 2294 2451 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2908 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 | 254 240 |
| 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 | 923 726 |
| 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 | 923 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 | 325 513 |
| 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 | 61 132 |
Defensive
| Ground duels won ⓘ Won ground duel. | 649 651 |
| Ground duels lost ⓘ Lost ground duel. | 628 616 |
| Ariel duels won ⓘ Won aerial duel. | 269 363 |
| Ariel duels lost ⓘ Lost aerial duel. | 244 258 |
| 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. | 671 590 |
| 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. | 350 296 |
| 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. | 678 853 |
| 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. | 345 393 |
| Tackles | 1277 1267 |
| Clearances by foot | 462 437 |
| Ground duels total | 1277 1267 |
| Ground duels won % | 50.82 51.38 |
| Ground duels lost % | 49.18 48.62 |
| Ariel duels total | 513 621 |
| Ariel duels won % | 52.44 58.45 |
| Ariel duels lost % | 47.56 41.55 |
| Defensive stability ⓘ The ability to defend well | 570.3 746.9 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 562 795 |
| Succesful dribbles | 6317 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. | 430 388 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 969 895 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1501 1968 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 452 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 | 639 580 |
| 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 | 1756 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 | 654 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 | 235 438 |
| 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 | 812 988 |
| 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 | 514 761 |
| 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 | 844 989 |
| 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 | 506 816 |
| 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 | 722 907 |
| 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 | 543 514 |
| 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 | 1476 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 | 525 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 | 199 313 |
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. | 29.72 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. | 29.72 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) | 1.14 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. | 5.53 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 | 4.68 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.29 1.11 |
| Open play Xg ⓘ Open play Xg value | 24.86 39.96 |
| Set piece Xg ⓘ Set piece Xg | 4.86 2.3 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.11 |
| Xg with foot ⓘ Xg with foot | 19.33 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. | -6.72 -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. | 0.47 -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. | 25.04 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. | -0.18 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. | -1.14 -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. | 0.84 -2.31 |
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