Borussia Monchengladbach vs Chelsea: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Borussia Monchengladbach or Chelsea? 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. Chelsea - Who Is Better?
Borussia Monchengladbach has a 1vs1 Score of 59.36 while Chelsea has a 1vs1 Score of 75.93, showing which team is performing better this season. View Borussia Monchengladbach's Position in 1vs1 Best Team Ranking | View Chelsea's Position in 1vs1 Best Team Ranking
Chelsea has won 762 ground duels versus 625 for Borussia Monchengladbach, with Chelsea ranking 6 and Borussia Monchengladbach ranking 5 in the league for ground duels won. See Full Ground duels won Ranking
Borussia Monchengladbach has accumulated 30.49 expected goals against while Chelsea faces 36.98, with Borussia Monchengladbach ranking 9 and Chelsea ranking 15 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 24 42 |
| Goals | 1.2 1.75 |
| Shot at goal number ⓘ Number of shots. | 210 314 |
| Shots on Goal | 148 218 |
| Goals conceeded | 32 27 |
| Goals conceeded | 1.6 1.13 |
| Matches won | 5 11 |
| Matches lost | 9 6 |
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 | CHE | |
| 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 Chelsea's 12 - highlighting their ability to fashion high-quality chances
Chelsea records 96 shots that miss the target completely versus Borussia Monchengladbach's 62 - showcasing their shooting accuracy variance
Borussia Monchengladbach completes 1532 passes from the right flank while Chelsea manages 1994 - exposing their right-sided distribution patterns
Compare Yourself
Borussia Monchengladbach Compare Borussia Monchengladbach
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Borussia Monchengladbach’s and Chelsea’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
Philipp Sander
1
#26
Joe Scally
1
#27
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
Robin Hack
1
#16
Marvin Friedrich
2
#17
Franck Honorat
4
#18
Florian Neuhaus
4
#19
Nico Elvedi
9
#20
Kevin Stoger
11
#21
Moritz Nicolas
11
#22
Giovanni Reyna
15
#23
Haris Tabakovic
16
#24
Joe Scally
17
#25
Luca Netz
17
#26
Rocco Reitz
19
#27
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
Tim Kleindienst
0
#15
Marvin Friedrich
3
#16
Haris Tabakovic
6
#17
Moritz Nicolas
6
#18
Robin Hack
7
#19
Nico Elvedi
13
#20
Florian Neuhaus
15
#21
Franck Honorat
17
#22
Kevin Stoger
20
#23
Giovanni Reyna
28
#24
Luca Netz
30
#25
Philipp Sander
36
#26
Joe Scally
39
#27
Rocco Reitz
54
#1
Haris Tabakovic
4.93
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
Salary Stats
#1
Jamie Gittens
0
No.
Player
Value
#1
Jamie Gittens
0
#2
Josh Acheampong
0
#3
Andrey Santos
0
#4
Estevao
0
#5
Robert Sanchez
0
#6
Joao Pedro
0
#7
Jorrel Hato
0
#8
Wesley Fofana
0
#9
Tosin Adarabioyo
0
#10
Tyrique George
0
#11
Facundo Buonanotte
0
#12
Filip Jorgensen
0
#13
Romeo Lavia
0
#14
Benoit Badiashile
0
#15
Marc Guiu
0
#16
Marc Cucurella
0
#17
Reece James
0
#18
Liam Delap
0
#19
Moises Caicedo
0
#20
Alejandro Garnacho
0
#21
Cole Palmer
1
#22
Pedro Neto
1
#23
Enzo Fernandez
1
#24
Malo Gusto
1
#25
Trevoh Chalobah
1
#1
Jamie Gittens
0
No.
Player
Value
#1
Jamie Gittens
0
#2
Josh Acheampong
0
#3
Estevao
0
#4
Joao Pedro
0
#5
Tyrique George
0
#6
Filip Jorgensen
0
#7
Wesley Fofana
1
#8
Facundo Buonanotte
1
#9
Romeo Lavia
1
#10
Reece James
2
#11
Tosin Adarabioyo
2
#12
Marc Guiu
2
#13
Marc Cucurella
2
#14
Cole Palmer
2
#15
Benoit Badiashile
2
#16
Enzo Fernandez
3
#17
Liam Delap
3
#18
Moises Caicedo
3
#19
Pedro Neto
3
#20
Alejandro Garnacho
6
#21
Robert Sanchez
7
#22
Malo Gusto
9
#23
Trevoh Chalobah
9
#24
Andrey Santos
11
#25
Jorrel Hato
13
#1
Jamie Gittens
0
#2
Josh Acheampong
0
#3
Estevao
0
#4
Joao Pedro
0
No.
Player
Value
#1
Jamie Gittens
0
#2
Josh Acheampong
0
#3
Estevao
0
#4
Joao Pedro
0
#5
Tyrique George
0
#6
Filip Jorgensen
0
#7
Marc Guiu
1
#8
Romeo Lavia
2
#9
Liam Delap
2
#10
Wesley Fofana
2
#11
Tosin Adarabioyo
2
#12
Benoit Badiashile
3
#13
Facundo Buonanotte
3
#14
Cole Palmer
7
#15
Reece James
8
#16
Robert Sanchez
8
#17
Marc Cucurella
12
#18
Moises Caicedo
12
#19
Jorrel Hato
13
#20
Enzo Fernandez
14
#21
Andrey Santos
16
#22
Pedro Neto
18
#23
Trevoh Chalobah
21
#24
Alejandro Garnacho
27
#25
Malo Gusto
37
#1
Alejandro Garnacho
0.91
#2
Enzo Fernandez
0.81
#3
Andrey Santos
0.78
#4
Marc Guiu
0.54
No.
Player
Value
#1
Alejandro Garnacho
1
#2
Enzo Fernandez
1
#3
Andrey Santos
1
#4
Marc Guiu
1
#5
Liam Delap
1
#6
Pedro Neto
0
#7
Cole Palmer
0
#8
Trevoh Chalobah
0
#9
Malo Gusto
0
#10
Jorrel Hato
0
#11
Moises Caicedo
0
#12
Marc Cucurella
0
#13
Reece James
0
#14
Wesley Fofana
0
#15
Tosin Adarabioyo
0
#16
Jamie Gittens
0
#17
Josh Acheampong
0
#18
Estevao
0
#19
Robert Sanchez
0
#20
Joao Pedro
0
#21
Tyrique George
0
#22
Facundo Buonanotte
0
#23
Filip Jorgensen
0
#24
Romeo Lavia
0
#25
Benoit Badiashile
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.
Chelsea: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Chelsea is among the very best, setting the standard for the league.
#1
Chelsea
1235
#2
Bayern Munich
1189
#3
Elche
1185
#4
Manchester City
1174
Very Good Stats
These are the areas where Chelsea consistently performs at a high level, placing him near the top of the league.
#2
Chelsea
10
#3
Lens
9
#4
Manchester City
9
#5
Olympique Lyonnais
9
Average Stats
These stats show Chelsea`s solid, reliable contributions that are in line with the majority of players in his position.
#21
Chelsea
0
Weak Stats
These are the areas where Chelsea`s performance falls below the league average.
#58
Chelsea
780
#59
Torino FC
777
#60
Werder Bremen
776
#61
Deportivo Alaves
765
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 Chelsea generates 6543.83 Expected Threat - sitting at 4, 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 Chelsea concedes 467.81 Expected Threat against - ranking 18, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Borussia Monchengladbach recorded 185 Critical ball losses - ranking 16 in possession security, meaning they've given the ball away in trouble spots, while Chelsea suffered 218 such losses - sitting at 19, 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 6543.83 |
| 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. | 560.09 467.81 |
| 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. | 185 218 |
| 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. | 860 1356 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.32 0.98 |
Ratings and Scores
Compare Borussia Monchengladbach & Chelsea`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, | 59.36 75.93 |
| 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. | 56.4 70.87 |
| 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 | 61.48 71.31 |
| Offensive interventions | 139.25 129.5 |
Goals & Assists
| Goals | 24 42 |
| Assists ⓘ Creating goals, playing the final pass. | 19 35 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 1 |
| Goals by head ⓘ Goals by head | 6 10 |
| Penalty goals ⓘ Penalty goals | 3 4 |
| Goals by freekick ⓘ Goals by freekick | 0 1 |
| Goals by foot | 13 27 |
| Shots on Goal | 148 218 |
| 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. | 8.09 10.24 |
Goals & Shots conceded
| Goals conceeded | 32 27 |
| Goals by head conceeded | 4 8 |
| Goals by foot conceeded | 25 19 |
| Shots on goal conceeded | 202 181 |
| Goals per 90 min conceeded | 1.6 1.13 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3384 4384 |
| 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 | 2679 3414 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5772 9078 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 76 172 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 167 216 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 266 315 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 26 48 |
| 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. | 758 784 |
| 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. | 1750 2298 |
| 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. | 3848 5855 |
| 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. | 1069 2032 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 79 134 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1532 1994 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1263 1972 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2122 3382 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1210 1950 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1377 1805 |
| 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. | 860 1356 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.23 92.86 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 63.33 58.11 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 87.21 89.49 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 44.07 63.16 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 41.54 43.99 |
| 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. | 65.23 65.06 |
| 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. | 76.25 81.81 |
| 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. | 83.96 88.26 |
| 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. | 71.94 79.69 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 47.59 50.19 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 76.08 79.73 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 80.56 83.98 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 77.7 83.51 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.58 83.24 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 74.3 81.06 |
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. | 5337 8146 |
| 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". | 1489 1948 |
| 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. | 320 637 |
| 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" | 814 877 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1027 1034 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 737 907 |
| 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. | 520 560 |
| 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". | 531 631 |
| Total touches in phase Set Pieces | 840 1197 |
| Total touches in phase Second ball | 1345 1508 |
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. | 185 218 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 625 698 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 44 124 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 235 275 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 434 412 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 39 37 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 33 28 |
| 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’ | 404 421 |
| 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 | 545 511 |
| 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 | 735 779 |
| 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’ | 417 518 |
| 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’ | 87 133 |
| Ball losses total | 2188 2362 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2785 3108 |
| 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 | 247 243 |
| 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 | 884 752 |
| 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 | 883 1156 |
| 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 | 306 407 |
| 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 | 59 115 |
Defensive
| Ground duels won ⓘ Won ground duel. | 625 762 |
| Ground duels lost ⓘ Lost ground duel. | 606 684 |
| Ariel duels won ⓘ Won aerial duel. | 263 298 |
| Ariel duels lost ⓘ Lost aerial duel. | 236 291 |
| 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. | 633 683 |
| 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. | 334 382 |
| 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. | 662 698 |
| 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. | 335 346 |
| Tackles | 1231 1446 |
| Clearances by foot | 436 537 |
| Ground duels total | 1231 1446 |
| Ground duels won % | 50.77 52.7 |
| Ground duels lost % | 49.23 47.3 |
| Ariel duels total | 499 589 |
| Ariel duels won % | 52.71 50.59 |
| Ariel duels lost % | 47.29 49.41 |
| Defensive stability ⓘ The ability to defend well | 551.5 656.4 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 540 770 |
| Succesful dribbles | 6011 9146 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 406 486 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 913 974 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1428 1922 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 438 741 |
| 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 | 591 660 |
| 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 | 1669 2046 |
| 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 | 635 1032 |
| 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 | 225 324 |
| 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 | 769 801 |
| 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 | 488 742 |
| 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 | 795 1235 |
| 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 | 489 637 |
| 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 | 688 780 |
| 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 | 501 568 |
| 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 | 1398 1738 |
| 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 | 509 774 |
| 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 | 191 238 |
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. | 29.02 41.32 |
| 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. | 29.02 41.32 |
| 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) | 1.12 1.53 |
| 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 7.05 |
| 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 3.12 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.32 0.98 |
| Open play Xg ⓘ Open play Xg value | 24.16 37.41 |
| Set piece Xg ⓘ Set piece Xg | 4.86 3.81 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.13 |
| Xg with foot ⓘ Xg with foot | 18.63 30.36 |
| 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. | -7.02 0.68 |
| 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 2.95 |
| 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. | 24.35 38.2 |
| 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. | -0.18 0.31 |
| 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. | -1.12 -0.53 |
| 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. | 0.06 2.68 |
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