Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 13 20 |
| Goals Per 90 | 1.3 2 |
| Shot at goal number ⓘ Number of shots. | 106 156 |
| Shots on Goal | 67 107 |
| Goals conceeded | 14 13 |
| Goals conceeded Per 90 | 1.4 1.3 |
| Matches won | 3 7 |
| Matches lost | 3 2 |
Scores
Team Form
Shooting Data & xG Analysis
All SC Freiburg`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| FRE | LEI | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 13 20 |
| Goals Per 90 | 1.3 2 |
| Shot at goal number ⓘ Number of shots. | 106 156 |
| Shots on Goal | 67 107 |
| Goals conceeded | 14 13 |
| Goals conceeded Per 90 | 1.4 1.3 |
| Matches won | 3 7 |
| Matches lost | 3 2 |
Compare Yourself
Compare SC Freiburg
Other Comparisons
Match Prediction
SC Freiburg’s and RB Leipzig’s Total Squad Salary
Salary Stats
#1
Derry Scherhant
0
#2
Christian Gunter
0
#3
Vincenzo Grifo
0
#4
Maximilian Eggestein
0
No.
Player
Value
#1
Derry Scherhant
0
#2
Christian Gunter
0
#3
Vincenzo Grifo
0
#4
Maximilian Eggestein
0
#5
Johan Manzambi
0
#6
Cyriaque Irie
0
#7
Philipp Lienhart
0
#8
Noah Atubolu
0
#9
Matthias Ginter
0
#10
Eren Dinkci
0
#11
Yuito Suzuki
0
#12
Merlin Rohl
0
#13
Jordy Makengo
0
#14
Lucas Holer
0
#15
Lukas Kubler
0
#16
Nicolas Hofler
0
#17
Anthony Jung
0
#18
Junior Adamu
0
#19
Philipp Treu
0
#20
Patrick Osterhage
0
#21
Igor Matanovic
0
#22
Niklas Beste
0
#23
Max Rosenfelder
0
#1
Christian Gunter
11.76
#2
Anthony Jung
4.35
#3
Matthias Ginter
1.85
#4
Derry Scherhant
0
No.
Player
Value
#1
Christian Gunter
12
#2
Anthony Jung
4
#3
Matthias Ginter
2
#4
Derry Scherhant
0
#5
Vincenzo Grifo
0
#6
Maximilian Eggestein
0
#7
Johan Manzambi
0
#8
Cyriaque Irie
0
#9
Philipp Lienhart
0
#10
Noah Atubolu
0
#11
Eren Dinkci
0
#12
Yuito Suzuki
0
#13
Merlin Rohl
0
#14
Jordy Makengo
0
#15
Lucas Holer
0
#16
Lukas Kubler
0
#17
Nicolas Hofler
0
#18
Junior Adamu
0
#19
Philipp Treu
0
#20
Patrick Osterhage
0
#21
Igor Matanovic
0
#22
Niklas Beste
0
#23
Max Rosenfelder
0
#1
Christian Gunter
19.61
#2
Anthony Jung
6.09
#3
Matthias Ginter
5.7
#4
Derry Scherhant
0
No.
Player
Value
#1
Christian Gunter
20
#2
Anthony Jung
6
#3
Matthias Ginter
6
#4
Derry Scherhant
0
#5
Vincenzo Grifo
0
#6
Maximilian Eggestein
0
#7
Johan Manzambi
0
#8
Cyriaque Irie
0
#9
Philipp Lienhart
0
#10
Noah Atubolu
0
#11
Eren Dinkci
0
#12
Yuito Suzuki
0
#13
Merlin Rohl
0
#14
Jordy Makengo
0
#15
Lucas Holer
0
#16
Lukas Kubler
0
#17
Nicolas Hofler
0
#18
Junior Adamu
0
#19
Philipp Treu
0
#20
Patrick Osterhage
0
#21
Igor Matanovic
0
#22
Niklas Beste
0
#23
Max Rosenfelder
0
#1
Christian Gunter
0.05
#2
Matthias Ginter
0.05
#3
Derry Scherhant
0
#4
Vincenzo Grifo
0
No.
Player
Value
#1
Christian Gunter
0
#2
Matthias Ginter
0
#3
Derry Scherhant
0
#4
Vincenzo Grifo
0
#5
Maximilian Eggestein
0
#6
Johan Manzambi
0
#7
Cyriaque Irie
0
#8
Philipp Lienhart
0
#9
Noah Atubolu
0
#10
Eren Dinkci
0
#11
Yuito Suzuki
0
#12
Merlin Rohl
0
#13
Jordy Makengo
0
#14
Lucas Holer
0
#15
Lukas Kubler
0
#16
Nicolas Hofler
0
#17
Anthony Jung
0
#18
Junior Adamu
0
#19
Philipp Treu
0
#20
Patrick Osterhage
0
#21
Igor Matanovic
0
#22
Niklas Beste
0
#23
Max Rosenfelder
0
Salary Stats
#1
Christoph Baumgartner
2
#2
Assan Ouedraogo
1.64
#3
Antonio Nusa
0.67
#4
Castello Lukeba
0.2
No.
Player
Value
#1
Christoph Baumgartner
2
#2
Assan Ouedraogo
2
#3
Antonio Nusa
1
#4
Castello Lukeba
0
#5
David Raum
0
#6
Romulo
0
#7
Ezechiel Banzuzi
0
#8
Willi Orban
0
#9
Peter Gulacsi
0
#10
Yan Diomande
0
#11
Lois Openda
0
#12
Nicolas Seiwald
0
#13
Ridle Baku
0
#14
Xavi Simons
0
#15
Johan Bakayoko
0
#16
Xaver Schlager
0
#17
Kosta Nedeljkovic
0
#18
Kevin Kampl
0
#19
Conrad Harder
0
#20
Andrija Maksimovic
0
#21
Timo Werner
0
#22
Lukas Klostermann
0
#23
El Chadaille Bitshiabu
0
#24
Tidiam Gomis
0
#1
Assan Ouedraogo
10.66
#2
Antonio Nusa
8
#3
Ridle Baku
7.22
#4
Nicolas Seiwald
5.91
No.
Player
Value
#1
Assan Ouedraogo
11
#2
Antonio Nusa
8
#3
Ridle Baku
7
#4
Nicolas Seiwald
6
#5
Christoph Baumgartner
5
#6
Peter Gulacsi
2
#7
Castello Lukeba
2
#8
Xaver Schlager
2
#9
Willi Orban
2
#10
David Raum
2
#11
El Chadaille Bitshiabu
2
#12
Lois Openda
1
#13
Xavi Simons
1
#14
Kosta Nedeljkovic
1
#15
Lukas Klostermann
1
#16
Kevin Kampl
0
#17
Romulo
0
#18
Ezechiel Banzuzi
0
#19
Yan Diomande
0
#20
Johan Bakayoko
0
#21
Conrad Harder
0
#22
Andrija Maksimovic
0
#23
Timo Werner
0
#24
Tidiam Gomis
0
#1
Ridle Baku
45.56
#2
Antonio Nusa
29.33
#3
Assan Ouedraogo
21.31
#4
Christoph Baumgartner
14.8
No.
Player
Value
#1
Ridle Baku
46
#2
Antonio Nusa
29
#3
Assan Ouedraogo
21
#4
Christoph Baumgartner
15
#5
David Raum
12
#6
Nicolas Seiwald
10
#7
Xaver Schlager
7
#8
Castello Lukeba
5
#9
Willi Orban
3
#10
El Chadaille Bitshiabu
1
#11
Peter Gulacsi
1
#12
Xavi Simons
0
#13
Lois Openda
0
#14
Lukas Klostermann
0
#15
Timo Werner
0
#16
Romulo
0
#17
Ezechiel Banzuzi
0
#18
Yan Diomande
0
#19
Johan Bakayoko
0
#20
Kosta Nedeljkovic
0
#21
Kevin Kampl
0
#22
Conrad Harder
0
#23
Andrija Maksimovic
0
#24
Tidiam Gomis
0
#1
Assan Ouedraogo
1.35
#2
Christoph Baumgartner
1.23
#3
Antonio Nusa
0.92
#4
Ridle Baku
0.44
No.
Player
Value
#1
Assan Ouedraogo
1
#2
Christoph Baumgartner
1
#3
Antonio Nusa
1
#4
Ridle Baku
0
#5
Nicolas Seiwald
0
#6
Castello Lukeba
0
#7
David Raum
0
#8
Willi Orban
0
#9
El Chadaille Bitshiabu
0
#10
Lois Openda
0
#11
Xaver Schlager
0
#12
Romulo
0
#13
Ezechiel Banzuzi
0
#14
Peter Gulacsi
0
#15
Yan Diomande
0
#16
Xavi Simons
0
#17
Johan Bakayoko
0
#18
Kosta Nedeljkovic
0
#19
Kevin Kampl
0
#20
Conrad Harder
0
#21
Andrija Maksimovic
0
#22
Timo Werner
0
#23
Lukas Klostermann
0
#24
Tidiam Gomis
0
SC Freiburg: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where SC Freiburg is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where SC Freiburg consistently performs at a high level, placing him near the top of the league.
#2
SC Freiburg
306
#3
Koln
306
#4
Union Berlin
302
#5
FSV Mainz 05
301
Average Stats
These stats show SC Freiburg`s solid, reliable contributions that are in line with the majority of players in his position.
#11
SC Freiburg
3606
#11
SC Freiburg
3840
Weak Stats
These are the areas where SC Freiburg`s performance falls below the league average.
#16
SC Freiburg
216
RB Leipzig: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where RB Leipzig is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where RB Leipzig consistently performs at a high level, placing him near the top of the league.
#2
RB Leipzig
361
#3
VfL Wolfsburg
302
#4
FC St. Pauli
301
#5
Eintracht Frankfurt
293
Average Stats
These stats show RB Leipzig`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where RB Leipzig`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare SC Freiburg & RB Leipzig`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, | 68.17 74.15 |
| 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. Per 90 | 60.17 60.3 |
| 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 | 64.19 75.74 |
| Offensive interventions | 133.6 138 |
Goals & Assists
| Goals | 13 20 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 8 18 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 1 |
| Goals by head ⓘ Goals by head | 1 1 |
| Penalty goals ⓘ Penalty goals | 3 0 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 1 1 |
| Goals by foot | 7 17 |
| Shots on Goal | 67 107 |
| 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. | 8.28 9.27 |
Goals & Shots conceded
| Goals conceeded | 14 13 |
| Goals by head conceeded Per 90 | 3 1 |
| Goals by foot conceeded | 11 12 |
| Shots on goal conceeded | 82 87 |
| Goals per 90 min conceeded | 1.4 1.3 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 1477 1834 |
| Sense of Space ⓘ Number of successful offensive actions in which a player is found as a receiver (dribblings, passes, crosses) and opponent players have been bypassed Per 90 | 1173 1382 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 2824 3090 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59 54 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 67 104 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 115 119 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 7 28 |
| 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. | 244 437 |
| 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. | 777 1031 |
| 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. | 2056 1870 |
| 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. | 492 555 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 37 70 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 796 795 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 577 575 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 876 1089 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 592 766 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 765 738 |
| 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. | 427 513 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.33 90.09 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 64.84 61.36 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 66.09 83.22 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 24.14 65.12 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 36.81 47.06 |
| 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. | 58.94 72.59 |
| 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. | 76.48 79 |
| Succesful passes in % from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 84.47 84.39 |
| 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. | 65.78 74.3 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 39.78 59.32 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 77.51 73.95 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 80.11 80.13 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 74.43 81.03 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 77.97 81.1 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 74.95 81.04 |
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. | 2644 2810 |
| 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". Per 90 | 584 836 |
| 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. | 169 172 |
| 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" | 443 422 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 396 476 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 314 378 |
| 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. | 306 240 |
| 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". | 334 299 |
| Total touches in phase Set Pieces | 475 412 |
| Total touches in phase Second ball | 777 721 |
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. | 57 79 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 268 340 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 32 34 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 115 117 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 257 176 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 59 24 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 22 15 |
| 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’ | 170 165 |
| 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 | 239 274 |
| 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 | 378 346 |
| 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’ | 256 192 |
| 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’ | 56 48 |
| Ball losses total | 1099 1025 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1336 1380 |
| 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 Per 90 | 91 125 |
| 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 | 321 410 |
| 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 | 502 441 |
| 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 | 190 150 |
| 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 Per 90 | 48 41 |
Defensive
| Ground duels won ⓘ Won ground duel. | 268 350 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 247 317 |
| Ariel duels won ⓘ Won aerial duel. | 160 119 |
| Ariel duels lost ⓘ Lost aerial duel. | 156 130 |
| 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. | 281 305 |
| 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. Per 90 | 134 157 |
| 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. | 345 288 |
| 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. | 163 211 |
| Tackles | 515 667 |
| Clearances by foot | 201 238 |
| Ground duels total | 515 667 |
| Ground duels won % | 52.04 52.47 |
| Ground duels lost % | 47.96 47.53 |
| Ariel duels total | 316 249 |
| Ariel duels won % | 50.63 47.79 |
| Ariel duels lost % | 49.37 52.21 |
| Defensive stability ⓘ The ability to defend well | 315 317.6 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 216 366 |
| Succesful dribbles Per 90 | 2998 3308 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 151 194 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. Per 90 | 371 541 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 638 712 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 208 277 |
| 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 | 225 361 |
| 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 Per 90 | 715 836 |
| 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 | 309 354 |
| 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 | 118 159 |
| 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 | 379 384 |
| 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 | 208 242 |
| 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 | 323 380 |
| 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 | 188 301 |
| 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 | 294 450 |
| 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 | 191 291 |
| 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 | 608 699 |
| 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 | 255 255 |
| 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 | 99 105 |
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. | 15.42 18.62 |
| 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. Per 90 | 15.42 18.62 |
| 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) | 0.39 0.55 |
| 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. | 2.46 1.8 |
| 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 | 2.34 0.78 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 1.28 0.98 |
| Open play Xg ⓘ Open play Xg value | 12.65 17.05 |
| Set piece Xg ⓘ Set piece Xg | 2.77 1.24 |
| Xg average per shot ⓘ Xg average per shot | 0.15 0.12 |
| Xg with foot ⓘ Xg with foot | 10.2 15.25 |
| Goals total minus Xg total ⓘ 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. | -3.42 0.38 |
| 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. | -1.46 -0.8 |
| Goals minus Xg penalty ⓘ 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. | 0.66 -0.78 |
| 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. | 0.57 0.54 |
| Goals minus Xg long distance shot ⓘ Long distance goals (more than 22 meters) minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.39 0.45 |
| 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. | 0.41 1.22 |
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