SC Freiburg vs Olympique de Marseille: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – SC Freiburg or Olympique de Marseille? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
France 
Ligue 1 
Analyse Analyse SC Freiburg vs. Olympique de Marseille - Who Is Better?
SC Freiburg has a 1vs1 Score of 65.26 while Olympique de Marseille has a 1vs1 Score of 82.49, showing which team is performing better this season. View SC Freiburg's Position in 1vs1 Best Team Ranking | View Olympique de Marseille's Position in 1vs1 Best Team Ranking
Olympique de Marseille has won 518 ground duels versus 567 for SC Freiburg, with Olympique de Marseille ranking 18 and SC Freiburg ranking 13 in the league for ground duels won. See Full Ground duels won Ranking
SC Freiburg has accumulated 31 expected goals against while Olympique de Marseille faces 24.73, with SC Freiburg ranking 7 and Olympique de Marseille ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 32 46 |
| Goals | 1.52 2.3 |
| Shot at goal number ⓘ Number of shots. | 246 276 |
| Shots on Goal | 165 192 |
| Goals conceeded | 32 20 |
| Goals conceeded | 1.52 1 |
| Matches won | 8 12 |
| Matches lost | 7 5 |
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 SC Freiburg`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| FRE | MAR | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
SC Freiburg creates 11 clear goal-scoring opportunities compared to Olympique de Marseille's 10 - highlighting their ability to fashion high-quality chances
Olympique de Marseille records 84 shots that miss the target completely versus SC Freiburg's 81 - showcasing their shooting accuracy variance
SC Freiburg completes 1552 passes from the right flank while Olympique de Marseille manages 1813 - exposing their right-sided distribution patterns
Compare Yourself
SC Freiburg Compare SC Freiburg
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SC Freiburg’s and Olympique de Marseille’s Total Squad Salary
Salary Stats
#1
Derry Scherhant
0
#2
Christian Gunter
0
#3
Johan Manzambi
0
#4
Cyriaque Irie
0
No.
Player
Value
#1
Derry Scherhant
0
#2
Christian Gunter
0
#3
Johan Manzambi
0
#4
Cyriaque Irie
0
#5
Philipp Lienhart
0
#6
Noah Atubolu
0
#7
Matthias Ginter
0
#8
Eren Dinkci
0
#9
Yuito Suzuki
0
#10
Merlin Rohl
0
#11
Jordy Makengo
0
#12
Lucas Holer
0
#13
Nicolas Hofler
0
#14
Anthony Jung
0
#15
Philipp Treu
0
#16
Igor Matanovic
0
#17
Niklas Beste
0
#18
Max Rosenfelder
0
#19
Bruno Ogbus
0
#20
Maximilian Eggestein
0
#21
Patrick Osterhage
1
#22
Junior Adamu
1
#23
Lukas Kubler
1
#24
Vincenzo Grifo
1
#1
Derry Scherhant
0
#2
Johan Manzambi
0
#3
Cyriaque Irie
0
#4
Eren Dinkci
0
No.
Player
Value
#1
Derry Scherhant
0
#2
Johan Manzambi
0
#3
Cyriaque Irie
0
#4
Eren Dinkci
0
#5
Yuito Suzuki
0
#6
Merlin Rohl
0
#7
Jordy Makengo
0
#8
Lucas Holer
0
#9
Nicolas Hofler
0
#10
Anthony Jung
0
#11
Philipp Treu
0
#12
Igor Matanovic
0
#13
Niklas Beste
0
#14
Max Rosenfelder
0
#15
Bruno Ogbus
0
#16
Philipp Lienhart
4
#17
Matthias Ginter
5
#18
Maximilian Eggestein
7
#19
Vincenzo Grifo
7
#20
Christian Gunter
7
#21
Junior Adamu
12
#22
Patrick Osterhage
12
#23
Lukas Kubler
13
#24
Noah Atubolu
28
#1
Derry Scherhant
0
#2
Johan Manzambi
0
#3
Cyriaque Irie
0
#4
Eren Dinkci
0
No.
Player
Value
#1
Derry Scherhant
0
#2
Johan Manzambi
0
#3
Cyriaque Irie
0
#4
Eren Dinkci
0
#5
Yuito Suzuki
0
#6
Merlin Rohl
0
#7
Jordy Makengo
0
#8
Lucas Holer
0
#9
Nicolas Hofler
0
#10
Anthony Jung
0
#11
Philipp Treu
0
#12
Igor Matanovic
0
#13
Niklas Beste
0
#14
Max Rosenfelder
0
#15
Bruno Ogbus
0
#16
Junior Adamu
4
#17
Philipp Lienhart
9
#18
Patrick Osterhage
14
#19
Matthias Ginter
15
#20
Maximilian Eggestein
15
#21
Vincenzo Grifo
19
#22
Christian Gunter
20
#23
Lukas Kubler
32
#24
Noah Atubolu
42
#1
Junior Adamu
1.96
#2
Lukas Kubler
1.24
#3
Vincenzo Grifo
1.04
#4
Maximilian Eggestein
0.57
No.
Player
Value
#1
Junior Adamu
2
#2
Lukas Kubler
1
#3
Vincenzo Grifo
1
#4
Maximilian Eggestein
1
#5
Patrick Osterhage
1
#6
Christian Gunter
0
#7
Matthias Ginter
0
#8
Philipp Lienhart
0
#9
Derry Scherhant
0
#10
Johan Manzambi
0
#11
Cyriaque Irie
0
#12
Noah Atubolu
0
#13
Eren Dinkci
0
#14
Yuito Suzuki
0
#15
Merlin Rohl
0
#16
Jordy Makengo
0
#17
Lucas Holer
0
#18
Nicolas Hofler
0
#19
Anthony Jung
0
#20
Philipp Treu
0
#21
Igor Matanovic
0
#22
Niklas Beste
0
#23
Max Rosenfelder
0
#24
Bruno Ogbus
0
Salary Stats
#1
Jonathan Rowe
0
No.
Player
Value
#1
Jonathan Rowe
0
#2
Ulisses Garcia
0
#3
Adrien Rabiot
0
#4
Darryl Bakola
0
#5
Robinio Vaz
0
#6
Leonardo Balerdi
0
#7
Amir Murillo
0
#8
CJ Egan-Riley
0
#9
Pierre-Emile Hojbjerg
0
#10
Timothy Weah
0
#11
Geoffrey Kondogbia
0
#12
Geronimo Rulli
0
#13
Bilal Nadir
0
#14
Derek Cornelius
0
#15
Pol Lirola
0
#16
Igor Paixao
0
#17
Arthur Vermeeren
0
#18
Benjamin Pavard
0
#19
Facundo Medina
0
#20
Matt ORiley
0
#21
Jeffrey de Lange
0
#22
Emerson
0
#23
Tadjidine Mmadi
0
#24
Neal Maupay
0
#25
Ethan Nwaneri
0
#26
Quinten Timber
0
#27
Hamed Junior Traore
0
#28
Nayef Aguerd
0
#29
Angel Gomes
1
#30
Amine Gouiri
1
#31
Pierre-Emerick Aubameyang
1
#32
Mason Greenwood
2
#1
Jonathan Rowe
0
#2
Darryl Bakola
0
#3
Robinio Vaz
0
#4
Amir Murillo
0
No.
Player
Value
#1
Jonathan Rowe
0
#2
Darryl Bakola
0
#3
Robinio Vaz
0
#4
Amir Murillo
0
#5
CJ Egan-Riley
0
#6
Pierre-Emile Hojbjerg
0
#7
Timothy Weah
0
#8
Bilal Nadir
0
#9
Derek Cornelius
0
#10
Igor Paixao
0
#11
Arthur Vermeeren
0
#12
Benjamin Pavard
0
#13
Matt ORiley
0
#14
Jeffrey de Lange
0
#15
Emerson
0
#16
Tadjidine Mmadi
0
#17
Ethan Nwaneri
0
#18
Quinten Timber
0
#19
Adrien Rabiot
0
#20
Neal Maupay
0
#21
Geoffrey Kondogbia
1
#22
Ulisses Garcia
2
#23
Hamed Junior Traore
2
#24
Facundo Medina
2
#25
Pol Lirola
2
#26
Amine Gouiri
2
#27
Nayef Aguerd
2
#28
Angel Gomes
4
#29
Mason Greenwood
4
#30
Leonardo Balerdi
4
#31
Pierre-Emerick Aubameyang
4
#32
Geronimo Rulli
6
#1
Jonathan Rowe
0
#2
Darryl Bakola
0
#3
Robinio Vaz
0
#4
Amir Murillo
0
No.
Player
Value
#1
Jonathan Rowe
0
#2
Darryl Bakola
0
#3
Robinio Vaz
0
#4
Amir Murillo
0
#5
CJ Egan-Riley
0
#6
Pierre-Emile Hojbjerg
0
#7
Timothy Weah
0
#8
Bilal Nadir
0
#9
Derek Cornelius
0
#10
Igor Paixao
0
#11
Arthur Vermeeren
0
#12
Benjamin Pavard
0
#13
Matt ORiley
0
#14
Jeffrey de Lange
0
#15
Emerson
0
#16
Tadjidine Mmadi
0
#17
Neal Maupay
0
#18
Ethan Nwaneri
0
#19
Quinten Timber
0
#20
Adrien Rabiot
1
#21
Hamed Junior Traore
3
#22
Geronimo Rulli
3
#23
Pol Lirola
3
#24
Geoffrey Kondogbia
3
#25
Pierre-Emerick Aubameyang
6
#26
Ulisses Garcia
6
#27
Facundo Medina
7
#28
Amine Gouiri
7
#29
Leonardo Balerdi
8
#30
Nayef Aguerd
9
#31
Angel Gomes
17
#32
Mason Greenwood
34
#1
Mason Greenwood
1.43
#2
Pierre-Emerick Aubameyang
1.12
#3
Amine Gouiri
0.93
#4
Angel Gomes
0.33
No.
Player
Value
#1
Mason Greenwood
1
#2
Pierre-Emerick Aubameyang
1
#3
Amine Gouiri
1
#4
Angel Gomes
0
#5
Leonardo Balerdi
0
#6
Hamed Junior Traore
0
#7
Nayef Aguerd
0
#8
Ulisses Garcia
0
#9
Geoffrey Kondogbia
0
#10
Jonathan Rowe
0
#11
Adrien Rabiot
0
#12
Darryl Bakola
0
#13
Robinio Vaz
0
#14
Amir Murillo
0
#15
CJ Egan-Riley
0
#16
Pierre-Emile Hojbjerg
0
#17
Timothy Weah
0
#18
Geronimo Rulli
0
#19
Bilal Nadir
0
#20
Derek Cornelius
0
#21
Pol Lirola
0
#22
Igor Paixao
0
#23
Arthur Vermeeren
0
#24
Benjamin Pavard
0
#25
Facundo Medina
0
#26
Matt ORiley
0
#27
Jeffrey de Lange
0
#28
Emerson
0
#29
Tadjidine Mmadi
0
#30
Neal Maupay
0
#31
Ethan Nwaneri
0
#32
Quinten Timber
0
SC Freiburg: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show SC Freiburg`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where SC Freiburg`s performance falls below the league average.
#83
SC Freiburg
755
#84
Koln
755
#85
Pisa Sporting Club
749
#86
Hellas Verona
748
#83
SC Freiburg
-2.67
Olympique de Marseille: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Olympique de Marseille`s solid, reliable contributions that are in line with the majority of players in his position.
#29
Olympique de Marseille
716
#30
Celta de Vigo
708
#31
Lens
704
#32
Aston Villa
701
Weak Stats
These are the areas where Olympique de Marseille`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
SC Freiburg has an Expected Threat of 4189.66 - ranking 10 and measuring their ability to advance the ball into dangerous positions, while Olympique de Marseille generates 6244.79 Expected Threat - sitting at 2, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
SC Freiburg has an Expected Threat against of 491.41 - placing them 9 defensively, indicating how much dangerous ball progression they allow opponents, while Olympique de Marseille concedes 281.88 Expected Threat against - ranking 17, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
SC Freiburg recorded 145 Critical ball losses - ranking 4 in possession security, meaning they've given the ball away in trouble spots, while Olympique de Marseille suffered 162 such losses - sitting at 6, 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. | 4189.66 6244.79 |
| 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. | 491.41 281.88 |
| 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. | 145 162 |
| 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. | 924 1287 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.13 0.8 |
Ratings and Scores
Compare SC Freiburg & Olympique de Marseille`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, | 65.26 82.49 |
| 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. | 59.07 75.78 |
| 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 | 65.49 76.84 |
| Offensive interventions | 139.05 111.6 |
Goals & Assists
| Goals | 32 46 |
| Assists ⓘ Creating goals, playing the final pass. | 25 41 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 2 |
| Goals by head ⓘ Goals by head | 2 5 |
| Penalty goals ⓘ Penalty goals | 5 5 |
| Goals by freekick ⓘ Goals by freekick | 1 1 |
| Goals by foot | 22 35 |
| Shots on Goal | 165 192 |
| 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. | 9.17 12.78 |
Goals & Shots conceded
| Goals conceeded | 32 20 |
| Goals by head conceeded | 7 3 |
| Goals by foot conceeded | 25 14 |
| Shots on goal conceeded | 190 136 |
| Goals per 90 min conceeded | 1.52 1 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3036 3854 |
| 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 | 2423 3029 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5790 9137 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 104 141 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 169 121 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 242 253 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 20 37 |
| 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. | 522 636 |
| 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. | 1570 2027 |
| 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. | 4037 5747 |
| 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. | 1214 2158 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 79 107 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1552 1813 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1164 1875 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1826 3084 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1285 1974 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1595 1929 |
| 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. | 924 1287 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.87 93.83 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 63.03 72.68 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 71.18 90.68 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 34.48 49.33 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 40.63 43.21 |
| 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. | 57.17 74.65 |
| 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. | 76.32 86.18 |
| 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. | 83.95 90.72 |
| 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. | 69.65 81.07 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 43.65 53.23 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 76.32 83.36 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.33 88.05 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 73.96 87.99 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 77.86 88.4 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 75.01 81.67 |
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. | 5330 8492 |
| 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". | 1303 1654 |
| 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. | 383 399 |
| 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" | 933 537 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 912 865 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 684 644 |
| 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. | 649 330 |
| 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". | 704 414 |
| Total touches in phase Set Pieces | 1032 729 |
| Total touches in phase Second ball | 1637 951 |
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. | 145 162 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 582 601 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 61 53 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 247 159 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 512 237 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 98 26 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 38 38 |
| Ball losses in own box ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the area ‘own penalty area’ | 391 216 |
| 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 | 487 325 |
| 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 | 772 588 |
| Ball losses in final third ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the space ‘last third of the pitch’ | 529 504 |
| 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’ | 102 94 |
| Ball losses total | 2281 1727 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2920 2232 |
| 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 | 225 167 |
| 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 | 696 509 |
| 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 | 1077 835 |
| 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 | 422 365 |
| 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 | 94 66 |
Defensive
| Ground duels won ⓘ Won ground duel. | 567 518 |
| Ground duels lost ⓘ Lost ground duel. | 534 495 |
| Ariel duels won ⓘ Won aerial duel. | 323 170 |
| Ariel duels lost ⓘ Lost aerial duel. | 318 157 |
| 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. | 614 559 |
| 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. | 292 266 |
| 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. | 690 404 |
| 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. | 358 268 |
| Tackles | 1101 1013 |
| Clearances by foot | 461 318 |
| Ground duels total | 1101 1013 |
| Ground duels won % | 51.5 51.14 |
| Ground duels lost % | 48.5 48.86 |
| Ariel duels total | 641 327 |
| Ariel duels won % | 50.39 51.99 |
| Ariel duels lost % | 49.61 48.01 |
| Defensive stability ⓘ The ability to defend well | 621.3 421.6 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 418 714 |
| Succesful dribbles | 6118 8865 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 300 321 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 755 811 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1258 1855 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 479 716 |
| 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 | 483 535 |
| 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 | 1387 1850 |
| 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 | 658 1022 |
| 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 | 266 265 |
| 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 | 721 741 |
| 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 | 389 650 |
| 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 | 671 940 |
| 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 | 414 688 |
| 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 | 653 732 |
| 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 | 407 432 |
| 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 | 1205 1566 |
| 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 | 543 772 |
| 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 | 226 203 |
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. | 33.93 36.98 |
| 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. | 33.93 36.98 |
| 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) | 1.48 2.03 |
| 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. | 4.67 5.45 |
| 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 4.68 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.13 0.8 |
| Open play Xg ⓘ Open play Xg value | 28.5 31.75 |
| Set piece Xg ⓘ Set piece Xg | 5.26 5.23 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.13 |
| Xg with foot ⓘ Xg with foot | 23.84 26.3 |
| 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. | -3.93 9.02 |
| 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. | -2.67 -0.45 |
| 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. | 29.25 32.31 |
| 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. | 0.41 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. | -1.48 -0.03 |
| 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. | 2.44 0.86 |
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