Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 32 14 |
| Goals Per 90 | 2 0.93 |
| Shot at goal number ⓘ Number of shots. | 309 178 |
| Shots on Goal | 206 117 |
| Goals conceeded | 15 19 |
| Goals conceeded Per 90 | 0.94 1.27 |
| Matches won | 11 6 |
| Matches lost | 2 7 |
Scores
Team Form
Shooting Data & xG Analysis
All Real Madrid`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| REA | BIL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 32 14 |
| Goals Per 90 | 2 0.93 |
| Shot at goal number ⓘ Number of shots. | 309 178 |
| Shots on Goal | 206 117 |
| Goals conceeded | 15 19 |
| Goals conceeded Per 90 | 0.94 1.27 |
| Matches won | 11 6 |
| Matches lost | 2 7 |
Compare Yourself
Compare Real Madrid
Other Comparisons
Match Prediction
Real Madrid’s and Athletic Bilbao’s Total Squad Salary
Salary Stats
#1
Alvaro Carreras
0
#2
Gonzalo Garcia
0
#3
Thibaut Courtois
0
#4
Franco Mastantuono
0
No.
Player
Value
#1
Alvaro Carreras
0
#2
Gonzalo Garcia
0
#3
Thibaut Courtois
0
#4
Franco Mastantuono
0
#5
Daniel Carvajal
0
#6
Aurelien Tchouameni
0
#7
Trent Alexander-Arnold
0
#8
Federico Valverde
0
#9
Brahim Diaz
0
#10
Dani Ceballos
0
#11
Rodrygo
0
#12
Antonio Rudiger
0
#13
Raul Asencio
0
#14
David Alaba
0
#15
Fran Garcia
0
#16
Endrick
0
#17
Eder Militao
0
#18
Eduardo Camavinga
0
#19
Jude Bellingham
0
#20
Vinicius Junior
0
#21
Kylian Mbappe
1
#22
Dean Huijsen
1
#23
Arda Guler
1
#1
Alvaro Carreras
0
#2
Franco Mastantuono
0
#3
Raul Asencio
0
#4
Endrick
0
No.
Player
Value
#1
Alvaro Carreras
0
#2
Franco Mastantuono
0
#3
Raul Asencio
0
#4
Endrick
0
#5
David Alaba
0
#6
Antonio Rudiger
0
#7
Trent Alexander-Arnold
0
#8
Kylian Mbappe
0
#9
Jude Bellingham
1
#10
Dani Ceballos
1
#11
Vinicius Junior
1
#12
Daniel Carvajal
1
#13
Eder Militao
1
#14
Brahim Diaz
1
#15
Eduardo Camavinga
1
#16
Federico Valverde
1
#17
Thibaut Courtois
1
#18
Aurelien Tchouameni
1
#19
Rodrygo
1
#20
Fran Garcia
1
#21
Gonzalo Garcia
2
#22
Arda Guler
3
#23
Dean Huijsen
6
#1
Alvaro Carreras
0
#2
Franco Mastantuono
0
#3
Raul Asencio
0
#4
Endrick
0
No.
Player
Value
#1
Alvaro Carreras
0
#2
Franco Mastantuono
0
#3
Raul Asencio
0
#4
Endrick
0
#5
David Alaba
0
#6
Antonio Rudiger
1
#7
Gonzalo Garcia
1
#8
Thibaut Courtois
1
#9
Jude Bellingham
3
#10
Daniel Carvajal
3
#11
Eduardo Camavinga
3
#12
Eder Militao
3
#13
Brahim Diaz
3
#14
Fran Garcia
3
#15
Kylian Mbappe
4
#16
Dani Ceballos
4
#17
Trent Alexander-Arnold
5
#18
Aurelien Tchouameni
6
#19
Rodrygo
7
#20
Vinicius Junior
7
#21
Federico Valverde
8
#22
Arda Guler
21
#23
Dean Huijsen
44
#1
Arda Guler
0.68
#2
Dean Huijsen
0.65
#3
Kylian Mbappe
0.43
#4
Vinicius Junior
0.27
No.
Player
Value
#1
Arda Guler
1
#2
Dean Huijsen
1
#3
Kylian Mbappe
0
#4
Vinicius Junior
0
#5
Gonzalo Garcia
0
#6
Jude Bellingham
0
#7
Eder Militao
0
#8
Aurelien Tchouameni
0
#9
Rodrygo
0
#10
Federico Valverde
0
#11
Eduardo Camavinga
0
#12
Brahim Diaz
0
#13
Daniel Carvajal
0
#14
Trent Alexander-Arnold
0
#15
Antonio Rudiger
0
#16
Alvaro Carreras
0
#17
Thibaut Courtois
0
#18
Franco Mastantuono
0
#19
Dani Ceballos
0
#20
Raul Asencio
0
#21
David Alaba
0
#22
Fran Garcia
0
#23
Endrick
0
Salary Stats
#1
Unai Simon
0
#2
Mikel Jauregizar
0
#3
Maroan Sannadi
0
#4
Alejandro Rego
0
No.
Player
Value
#1
Unai Simon
0
#2
Mikel Jauregizar
0
#3
Maroan Sannadi
0
#4
Alejandro Rego
0
#5
Andoni Gorosabel
0
#6
Robert Navarro
0
#7
Dani Vivian
0
#8
Inigo Ruiz de Galarreta
0
#9
Jesus Areso
0
#10
Alex Berenguer
0
#11
Mikel Vesga
0
#12
Yuri Berchiche
0
#13
Unai Gomez
0
#14
Benat Prados
0
#15
Nico Serrano
0
#16
Urko Izeta
0
#17
Aymeric Laporte
0
#18
Adama Boiro
0
#19
Inigo Lekue
0
#20
Selton Sanchez
0
#21
Inaki Williams
0
#22
Nico Williams
0
#23
Oihan Sancet
0
#24
Gorka Guruzeta
0
#25
Aitor Paredes
1
#1
Mikel Jauregizar
0
#2
Maroan Sannadi
0
#3
Alejandro Rego
0
#4
Robert Navarro
0
No.
Player
Value
#1
Mikel Jauregizar
0
#2
Maroan Sannadi
0
#3
Alejandro Rego
0
#4
Robert Navarro
0
#5
Inigo Ruiz de Galarreta
0
#6
Jesus Areso
0
#7
Unai Gomez
0
#8
Nico Serrano
0
#9
Urko Izeta
0
#10
Aymeric Laporte
0
#11
Adama Boiro
0
#12
Selton Sanchez
0
#13
Inaki Williams
1
#14
Benat Prados
1
#15
Nico Williams
1
#16
Yuri Berchiche
4
#17
Unai Simon
4
#18
Aitor Paredes
5
#19
Oihan Sancet
5
#20
Dani Vivian
5
#21
Inigo Lekue
6
#22
Andoni Gorosabel
6
#23
Mikel Vesga
7
#24
Gorka Guruzeta
7
#25
Alex Berenguer
9
#1
Mikel Jauregizar
0
#2
Maroan Sannadi
0
#3
Alejandro Rego
0
#4
Robert Navarro
0
No.
Player
Value
#1
Mikel Jauregizar
0
#2
Maroan Sannadi
0
#3
Alejandro Rego
0
#4
Robert Navarro
0
#5
Inigo Ruiz de Galarreta
0
#6
Jesus Areso
0
#7
Unai Gomez
0
#8
Nico Serrano
0
#9
Urko Izeta
0
#10
Aymeric Laporte
0
#11
Adama Boiro
0
#12
Selton Sanchez
0
#13
Inaki Williams
3
#14
Benat Prados
5
#15
Unai Simon
5
#16
Nico Williams
6
#17
Oihan Sancet
7
#18
Gorka Guruzeta
9
#19
Mikel Vesga
12
#20
Dani Vivian
12
#21
Inigo Lekue
19
#22
Andoni Gorosabel
19
#23
Aitor Paredes
22
#24
Yuri Berchiche
30
#25
Alex Berenguer
49
#1
Gorka Guruzeta
1.95
#2
Oihan Sancet
1
#3
Alex Berenguer
0.82
#4
Aitor Paredes
0.45
No.
Player
Value
#1
Gorka Guruzeta
2
#2
Oihan Sancet
1
#3
Alex Berenguer
1
#4
Aitor Paredes
0
#5
Dani Vivian
0
#6
Nico Williams
0
#7
Inaki Williams
0
#8
Mikel Vesga
0
#9
Inigo Lekue
0
#10
Yuri Berchiche
0
#11
Benat Prados
0
#12
Andoni Gorosabel
0
#13
Unai Simon
0
#14
Mikel Jauregizar
0
#15
Maroan Sannadi
0
#16
Alejandro Rego
0
#17
Robert Navarro
0
#18
Inigo Ruiz de Galarreta
0
#19
Jesus Areso
0
#20
Unai Gomez
0
#21
Nico Serrano
0
#22
Urko Izeta
0
#23
Aymeric Laporte
0
#24
Adama Boiro
0
#25
Selton Sanchez
0
Real Madrid: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Real Madrid is among the very best, setting the standard for the league.
#1
Real Madrid
309
#1
Real Madrid
609
#2
Barcelona
592
#3
Celta de Vigo
512
#4
Elche
484
Very Good Stats
These are the areas where Real Madrid consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Real Madrid`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Real Madrid`s performance falls below the league average.
Athletic Bilbao: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Athletic Bilbao is among the very best, setting the standard for the league.
#1
Athletic Bilbao
751
#2
Villarreal
748
#3
Espanyol
747
#4
Celta de Vigo
733
#1
Athletic Bilbao
512
#2
Real Madrid
505
#3
Getafe
499
#4
Real Sociedad
437
Very Good Stats
These are the areas where Athletic Bilbao consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Athletic Bilbao`s solid, reliable contributions that are in line with the majority of players in his position.
#11
Athletic Bilbao
586
#12
Valencia CF
555
#13
Deportivo Alaves
538
#14
Real Betis
535
#11
Athletic Bilbao
2877
#12
Girona FC
2703
#13
Osasuna
2648
#14
Real Oviedo
2570
Weak Stats
These are the areas where Athletic Bilbao`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Real Madrid & Athletic Bilbao`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, | 84.78 69.44 |
| 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 | 77.59 68.77 |
| 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 | 80.48 59.49 |
| Offensive interventions | 121.56 141.47 |
Goals & Assists
| Goals | 32 14 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 27 8 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 4 0 |
| Goals by head ⓘ Goals by head | 2 1 |
| Penalty goals ⓘ Penalty goals | 5 3 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 25 9 |
| Shots on Goal | 206 117 |
| 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. | 7.77 5.44 |
Goals & Shots conceded
| Goals conceeded | 15 19 |
| Goals by head conceeded Per 90 | 4 3 |
| Goals by foot conceeded | 8 16 |
| Shots on goal conceeded | 100 97 |
| Goals per 90 min conceeded | 0.94 1.27 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3307 2715 |
| 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 | 2505 2115 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7261 3971 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 169 98 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 125 120 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 229 229 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45 31 |
| 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. | 463 299 |
| 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. | 1199 1041 |
| 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. | 4382 2877 |
| 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. | 2459 1003 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 141 50 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1516 1006 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1311 811 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2152 1255 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1677 934 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1988 1264 |
| 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. | 1401 878 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.38 87.83 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 71.61 62.82 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 92.71 84.81 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 60.81 51.67 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 46.64 39.87 |
| 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. | 73.84 58.51 |
| 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. | 80.31 76.32 |
| 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. | 90.57 82.29 |
| 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. | 85.59 67.72 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 58.51 34.25 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 84.88 77.36 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 87.03 79.42 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 85.91 74.88 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 87.23 75.65 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 84.46 69.86 |
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. | 6722 3422 |
| 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 | 1410 1224 |
| 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. | 369 398 |
| 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" | 462 573 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 683 751 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 616 614 |
| 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. | 320 355 |
| 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". | 347 419 |
| Total touches in phase Set Pieces | 689 753 |
| Total touches in phase Second ball | 809 992 |
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. | 131 148 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 515 550 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 67 58 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 143 181 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 232 280 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 18 41 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 29 29 |
| 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’ | 164 212 |
| 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 | 294 323 |
| 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 | 456 619 |
| 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’ | 414 478 |
| 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’ | 100 96 |
| Ball losses total | 1428 1728 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1945 2122 |
| 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 | 120 127 |
| 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 | 441 426 |
| 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 | 706 848 |
| 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 | 354 321 |
| 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 | 81 77 |
Defensive
| Ground duels won ⓘ Won ground duel. | 410 512 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 377 530 |
| Ariel duels won ⓘ Won aerial duel. | 164 181 |
| Ariel duels lost ⓘ Lost aerial duel. | 114 179 |
| 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. | 457 515 |
| 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 | 252 239 |
| 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. | 383 468 |
| 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. | 230 235 |
| Tackles | 787 1042 |
| Clearances by foot | 288 338 |
| Ground duels total | 787 1042 |
| Ground duels won % | 52.1 49.14 |
| Ground duels lost % | 47.9 50.86 |
| Ariel duels total | 278 360 |
| Ariel duels won % | 58.99 50.28 |
| Ariel duels lost % | 41.01 49.72 |
| Defensive stability ⓘ The ability to defend well | 419.2 371.8 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 719 493 |
| Succesful dribbles Per 90 | 7148 4269 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 268 215 |
| 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 | 605 572 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1464 1305 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 836 487 |
| 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 | 441 321 |
| 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 | 1320 1350 |
| 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 | 1088 689 |
| 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 | 313 189 |
| 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 | 605 559 |
| 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 | 435 403 |
| 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 | 747 586 |
| 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 | 609 426 |
| 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 | 843 639 |
| 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 | 376 262 |
| 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 | 1052 1108 |
| 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 | 817 545 |
| 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 | 203 156 |
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. | 37.81 21.68 |
| 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 | 37.81 21.68 |
| 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) | 2.34 1.12 |
| Xg with head ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a header. | 4.5 2.71 |
| 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 | 5.46 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 1.18 1.67 |
| Open play Xg ⓘ Open play Xg value | 31.63 19.27 |
| Set piece Xg ⓘ Set piece Xg | 6.17 2.41 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.12 |
| Xg with foot ⓘ Xg with foot | 27.13 16.56 |
| 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. | -5.81 -8.68 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -2.5 -1.71 |
| 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. | -0.46 0.66 |
| 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. | -0.72 -0.07 |
| 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. | 1.66 -1.12 |
| Goals minus Xg short distance shot ⓘ Short distance goals (less than 10 meters)minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.88 -1.53 |
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