SC Freiburg vs Bologna FC 1909: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – SC Freiburg or Bologna FC 1909? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
Italy 
Serie A 
Analyse Analyse SC Freiburg vs. Bologna FC 1909 - Who Is Better?
SC Freiburg has a 1vs1 Score of 65.26 while Bologna FC 1909 has a 1vs1 Score of 69.43, showing which team is performing better this season. View SC Freiburg's Position in 1vs1 Best Team Ranking | View Bologna FC 1909's Position in 1vs1 Best Team Ranking
Bologna FC 1909 has won 688 ground duels versus 567 for SC Freiburg, with Bologna FC 1909 ranking 12 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 Bologna FC 1909 faces 31.88, with SC Freiburg ranking 7 and Bologna FC 1909 ranking 10 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 32 32 |
| Goals | 1.52 1.39 |
| Shot at goal number ⓘ Number of shots. | 246 293 |
| Shots on Goal | 165 186 |
| Goals conceeded | 32 29 |
| Goals conceeded | 1.52 1.26 |
| Matches won | 8 8 |
| Matches lost | 7 9 |
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 | BOL | |
| 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 Bologna FC 1909's 1 - highlighting their ability to fashion high-quality chances
Bologna FC 1909 records 107 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 Bologna FC 1909 manages 1690 - exposing their right-sided distribution patterns
Compare Yourself
SC Freiburg Compare SC Freiburg
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SC Freiburg’s and Bologna FC 1909’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
Santiago Castro
0
#2
Giovanni Fabbian
0
#3
Jhon Lucumi
0
#4
Lukasz Skorupski
0
No.
Player
Value
#1
Santiago Castro
0
#2
Giovanni Fabbian
0
#3
Jhon Lucumi
0
#4
Lukasz Skorupski
0
#5
Remo Freuler
0
#6
Ciro Immobile
0
#7
Charalampos Lykogiannis
0
#8
Nicolo Casale
0
#9
Tommaso Pobega
0
#10
Martin Vitik
0
#11
Nadir Zortea
0
#12
Lorenzo De Silvestri
0
#13
Torbjorn Heggem
0
#14
Jonathan Rowe
0
#15
Benja Dominguez
0
#16
Federico Ravaglia
0
#17
Massimo Pessina
0
#18
Ibrahim Sulemana
0
#19
Simon Sohm
0
#20
Federico Bernardeschi
0
#21
Thijs Dallinga
0
#22
Juan Miranda
0
#23
Lewis Ferguson
1
#24
Nikola Moro
1
#25
Emil Holm
1
#26
Riccardo Orsolini
2
#27
Nicolo Cambiaghi
3
#28
Jens Odgaard
4
#1
Santiago Castro
0
#2
Giovanni Fabbian
0
#3
Jhon Lucumi
0
#4
Charalampos Lykogiannis
0
No.
Player
Value
#1
Santiago Castro
0
#2
Giovanni Fabbian
0
#3
Jhon Lucumi
0
#4
Charalampos Lykogiannis
0
#5
Nicolo Casale
0
#6
Tommaso Pobega
0
#7
Martin Vitik
0
#8
Nadir Zortea
0
#9
Lorenzo De Silvestri
0
#10
Torbjorn Heggem
0
#11
Jonathan Rowe
0
#12
Benja Dominguez
0
#13
Federico Ravaglia
0
#14
Massimo Pessina
0
#15
Ibrahim Sulemana
0
#16
Simon Sohm
2
#17
Ciro Immobile
2
#18
Federico Bernardeschi
5
#19
Lukasz Skorupski
5
#20
Riccardo Orsolini
7
#21
Thijs Dallinga
7
#22
Juan Miranda
10
#23
Remo Freuler
11
#24
Emil Holm
16
#25
Nikola Moro
17
#26
Lewis Ferguson
18
#27
Jens Odgaard
20
#28
Nicolo Cambiaghi
22
#1
Santiago Castro
0
#2
Giovanni Fabbian
0
#3
Jhon Lucumi
0
#4
Charalampos Lykogiannis
0
No.
Player
Value
#1
Santiago Castro
0
#2
Giovanni Fabbian
0
#3
Jhon Lucumi
0
#4
Charalampos Lykogiannis
0
#5
Nicolo Casale
0
#6
Tommaso Pobega
0
#7
Martin Vitik
0
#8
Nadir Zortea
0
#9
Lorenzo De Silvestri
0
#10
Torbjorn Heggem
0
#11
Jonathan Rowe
0
#12
Benja Dominguez
0
#13
Federico Ravaglia
0
#14
Massimo Pessina
0
#15
Ibrahim Sulemana
0
#16
Simon Sohm
0
#17
Ciro Immobile
2
#18
Thijs Dallinga
5
#19
Lukasz Skorupski
6
#20
Riccardo Orsolini
20
#21
Federico Bernardeschi
20
#22
Jens Odgaard
32
#23
Lewis Ferguson
36
#24
Remo Freuler
38
#25
Emil Holm
47
#26
Nicolo Cambiaghi
69
#27
Juan Miranda
79
#28
Nikola Moro
91
#1
Jens Odgaard
2.15
#2
Nicolo Cambiaghi
1.74
#3
Riccardo Orsolini
1.68
#4
Emil Holm
0.77
No.
Player
Value
#1
Jens Odgaard
2
#2
Nicolo Cambiaghi
2
#3
Riccardo Orsolini
2
#4
Emil Holm
1
#5
Thijs Dallinga
1
#6
Lewis Ferguson
1
#7
Nikola Moro
0
#8
Federico Bernardeschi
0
#9
Juan Miranda
0
#10
Ciro Immobile
0
#11
Remo Freuler
0
#12
Santiago Castro
0
#13
Giovanni Fabbian
0
#14
Jhon Lucumi
0
#15
Lukasz Skorupski
0
#16
Charalampos Lykogiannis
0
#17
Nicolo Casale
0
#18
Tommaso Pobega
0
#19
Martin Vitik
0
#20
Nadir Zortea
0
#21
Lorenzo De Silvestri
0
#22
Torbjorn Heggem
0
#23
Jonathan Rowe
0
#24
Benja Dominguez
0
#25
Federico Ravaglia
0
#26
Massimo Pessina
0
#27
Ibrahim Sulemana
0
#28
Simon Sohm
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
Bologna FC 1909: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Bologna FC 1909 consistently performs at a high level, placing him near the top of the league.
#8
Bologna FC 1909
195
#9
Paris FC
191
#10
Olympique Lyonnais
185
#11
Chelsea
180
Average Stats
These stats show Bologna FC 1909`s solid, reliable contributions that are in line with the majority of players in his position.
#49
Bologna FC 1909
808
#50
Torino FC
807
#51
Real Betis
802
#52
VfB Stuttgart
800
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 Bologna FC 1909 generates 5040.86 Expected Threat - sitting at 8, 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 Bologna FC 1909 concedes 417.02 Expected Threat against - ranking 13, 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 Bologna FC 1909 suffered 194 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. | 4189.66 5040.86 |
| 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. | 491.41 417.02 |
| 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. | 145 194 |
| 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 1218 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.13 1 |
Ratings and Scores
Compare SC Freiburg & Bologna FC 1909`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 69.43 |
| 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 68.3 |
| 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 61.9 |
| Offensive interventions | 139.05 129.3 |
Goals & Assists
| Goals | 32 32 |
| Assists ⓘ Creating goals, playing the final pass. | 25 26 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 3 |
| Goals by head ⓘ Goals by head | 2 2 |
| Penalty goals ⓘ Penalty goals | 5 3 |
| Goals by freekick ⓘ Goals by freekick | 1 1 |
| Goals by foot | 22 25 |
| Shots on Goal | 165 186 |
| 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 7.75 |
Goals & Shots conceded
| Goals conceeded | 32 29 |
| Goals by head conceeded | 7 4 |
| Goals by foot conceeded | 25 21 |
| Shots on goal conceeded | 190 166 |
| Goals per 90 min conceeded | 1.52 1.26 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3036 3637 |
| 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 2833 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5790 6528 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 104 195 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 169 194 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 242 329 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 20 42 |
| 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. | 522 652 |
| 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 1777 |
| 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 4580 |
| 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 1538 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 79 91 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1552 1690 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1164 1273 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1826 2201 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1285 1497 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1595 1977 |
| 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 1218 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.87 91.49 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 63.03 71.96 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 71.18 83.5 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 34.48 53.85 |
| 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 43.5 |
| 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 68.49 |
| 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 77.6 |
| 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 83.71 |
| 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 74.81 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 43.65 45.73 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 76.32 76.9 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.33 81.45 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 73.96 80.27 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 77.86 79.56 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 75.01 76.23 |
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 6298 |
| 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 1465 |
| 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. | 383 516 |
| 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" | 933 902 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 912 957 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 684 778 |
| 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. | 649 597 |
| 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". | 704 667 |
| Total touches in phase Set Pieces | 1032 1113 |
| Total touches in phase Second ball | 1637 1569 |
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. | 145 194 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 582 607 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 61 76 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 247 252 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 512 431 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 98 65 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 38 36 |
| 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’ | 391 300 |
| 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 | 487 513 |
| 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 | 772 891 |
| 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’ | 529 518 |
| 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’ | 102 108 |
| Ball losses total | 2281 2330 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2920 2974 |
| 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 | 225 221 |
| 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 | 696 612 |
| 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 1267 |
| 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 | 422 368 |
| 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 84 |
Defensive
| Ground duels won ⓘ Won ground duel. | 567 688 |
| Ground duels lost ⓘ Lost ground duel. | 534 753 |
| Ariel duels won ⓘ Won aerial duel. | 323 298 |
| Ariel duels lost ⓘ Lost aerial duel. | 318 303 |
| 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. | 614 618 |
| 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. | 292 342 |
| 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. | 690 717 |
| 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. | 358 316 |
| Tackles | 1101 1441 |
| Clearances by foot | 461 493 |
| Ground duels total | 1101 1441 |
| Ground duels won % | 51.5 47.74 |
| Ground duels lost % | 48.5 52.26 |
| Ariel duels total | 641 601 |
| Ariel duels won % | 50.39 49.58 |
| Ariel duels lost % | 49.61 50.42 |
| Defensive stability ⓘ The ability to defend well | 621.3 485.8 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 418 580 |
| Succesful dribbles | 6118 7324 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 300 352 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 755 738 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1258 1662 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 479 633 |
| 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 | 483 459 |
| 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 1675 |
| 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 | 658 929 |
| 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 | 266 289 |
| 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 | 721 794 |
| 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 | 389 458 |
| 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 | 671 782 |
| 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 | 414 540 |
| 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 | 653 860 |
| 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 | 407 401 |
| 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 1406 |
| 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 | 543 741 |
| 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 | 226 234 |
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 30.98 |
| 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 30.98 |
| 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 1.93 |
| 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 4.75 |
| 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. | 1.13 1 |
| Open play Xg ⓘ Open play Xg value | 28.5 27.43 |
| Set piece Xg ⓘ Set piece Xg | 5.26 3.54 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.11 |
| Xg with foot ⓘ Xg with foot | 23.84 22.69 |
| 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 0.02 |
| 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 -2.75 |
| 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 27.86 |
| 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 0.58 |
| 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 1.07 |
| 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 1.57 |
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