Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 15 7 |
| Goals Per 90 | 1 0.47 |
| Shot at goal number ⓘ Number of shots. | 144 134 |
| Shots on Goal | 91 86 |
| Goals conceeded | 22 22 |
| Goals conceeded Per 90 | 1.47 1.47 |
| Matches won | 3 2 |
| Matches lost | 7 9 |
Scores
Team Form
Shooting Data & xG Analysis
All Mallorca`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| MAL | OVI | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 15 7 |
| Goals Per 90 | 1 0.47 |
| Shot at goal number ⓘ Number of shots. | 144 134 |
| Shots on Goal | 91 86 |
| Goals conceeded | 22 22 |
| Goals conceeded Per 90 | 1.47 1.47 |
| Matches won | 3 2 |
| Matches lost | 7 9 |
Compare Yourself
Compare Mallorca
Other Comparisons
Match Prediction
Last Matches
League Stats
Mallorca’s and Real Oviedo’s Total Squad Salary
Salary Stats
#1
Mateo Joseph
0
No.
Player
Value
#1
Mateo Joseph
0
#2
Omar Mascarell
0
#3
Sergi Darder
0
#4
Johan Mojica
0
#5
Martin Valjent
0
#6
Jan Salas
0
#7
Manu Morlanes
0
#8
Antonio Raillo
0
#9
Dani Rodriguez
0
#10
Antonio Sanchez
0
#11
Mateu Morey
0
#12
Leo Roman
0
#13
Pablo Torre
0
#14
Toni Lato
0
#15
Takuma Asano
0
#16
Marc Domenech
0
#17
Marash Kumbulla
0
#18
Abdon Prats
0
#19
Jan Virgili
0
#20
Samu Costa
0
#21
Pablo Maffeo
0
#22
David Lopez
0
#23
Javi Llabres
0
#24
Lucas Bergstrom
0
#25
Vedat Muriqi
2
#1
Mateo Joseph
0
#2
Omar Mascarell
0
#3
Martin Valjent
0
#4
Jan Salas
0
No.
Player
Value
#1
Mateo Joseph
0
#2
Omar Mascarell
0
#3
Martin Valjent
0
#4
Jan Salas
0
#5
Antonio Raillo
0
#6
Dani Rodriguez
0
#7
Antonio Sanchez
0
#8
Mateu Morey
0
#9
Leo Roman
0
#10
Pablo Torre
0
#11
Takuma Asano
0
#12
Marc Domenech
0
#13
Marash Kumbulla
0
#14
Abdon Prats
0
#15
Jan Virgili
0
#16
Samu Costa
0
#17
Pablo Maffeo
0
#18
David Lopez
0
#19
Javi Llabres
0
#20
Lucas Bergstrom
0
#21
Vedat Muriqi
5
#22
Toni Lato
5
#23
Sergi Darder
10
#24
Manu Morlanes
14
#25
Johan Mojica
21
#1
Mateo Joseph
0
#2
Omar Mascarell
0
#3
Martin Valjent
0
#4
Jan Salas
0
No.
Player
Value
#1
Mateo Joseph
0
#2
Omar Mascarell
0
#3
Martin Valjent
0
#4
Jan Salas
0
#5
Antonio Raillo
0
#6
Dani Rodriguez
0
#7
Antonio Sanchez
0
#8
Mateu Morey
0
#9
Leo Roman
0
#10
Pablo Torre
0
#11
Takuma Asano
0
#12
Marc Domenech
0
#13
Marash Kumbulla
0
#14
Abdon Prats
0
#15
Jan Virgili
0
#16
Samu Costa
0
#17
Pablo Maffeo
0
#18
David Lopez
0
#19
Javi Llabres
0
#20
Lucas Bergstrom
0
#21
Toni Lato
3
#22
Vedat Muriqi
4
#23
Sergi Darder
32
#24
Manu Morlanes
35
#25
Johan Mojica
124
#1
Vedat Muriqi
1.22
#2
Sergi Darder
0.36
#3
Manu Morlanes
0.31
#4
Johan Mojica
0.3
No.
Player
Value
#1
Vedat Muriqi
1
#2
Sergi Darder
0
#3
Manu Morlanes
0
#4
Johan Mojica
0
#5
Mateo Joseph
0
#6
Omar Mascarell
0
#7
Martin Valjent
0
#8
Jan Salas
0
#9
Antonio Raillo
0
#10
Dani Rodriguez
0
#11
Antonio Sanchez
0
#12
Mateu Morey
0
#13
Leo Roman
0
#14
Pablo Torre
0
#15
Toni Lato
0
#16
Takuma Asano
0
#17
Marc Domenech
0
#18
Marash Kumbulla
0
#19
Abdon Prats
0
#20
Jan Virgili
0
#21
Samu Costa
0
#22
Pablo Maffeo
0
#23
David Lopez
0
#24
Javi Llabres
0
#25
Lucas Bergstrom
0
Salary Stats
#1
Rahim Alhassane
0
No.
Player
Value
#1
Rahim Alhassane
0
#2
Alberto Reina
0
#3
Marco Esteban
0
#4
Omar Falah
0
#5
Luka Ilic
0
#6
Salomon Rondon
0
#7
Nacho Vidal
0
#8
Dani Calvo
0
#9
Haissem Hassan
0
#10
Federico Vinas
0
#11
Borja Sanchez
0
#12
Kwasi Sibo
0
#13
Ilyas Chaira
0
#14
Aaron Escandell
0
#15
Oier Luengo
0
#16
Santi Cazorla
0
#17
Josip Brekalo
0
#18
Ovie Ejaria
0
#19
David Costas
0
#20
Alex Fores
0
#21
Santiago Colombatto
0
#22
Lucas Ahijado
0
#23
David Carmo
0
#24
Javi Lopez
0
#25
Eric Bailly
0
#26
Pablo Menendez Agudin
0
#27
Leander Dendoncker
0
#1
Rahim Alhassane
0
#2
Alberto Reina
0
#3
Marco Esteban
0
#4
Omar Falah
0
No.
Player
Value
#1
Rahim Alhassane
0
#2
Alberto Reina
0
#3
Marco Esteban
0
#4
Omar Falah
0
#5
Luka Ilic
0
#6
Salomon Rondon
0
#7
Nacho Vidal
0
#8
Dani Calvo
0
#9
Haissem Hassan
0
#10
Federico Vinas
0
#11
Borja Sanchez
0
#12
Kwasi Sibo
0
#13
Ilyas Chaira
0
#14
Aaron Escandell
0
#15
Oier Luengo
0
#16
Santi Cazorla
0
#17
Josip Brekalo
0
#18
Ovie Ejaria
0
#19
David Costas
0
#20
Alex Fores
0
#21
Santiago Colombatto
0
#22
Lucas Ahijado
0
#23
David Carmo
0
#24
Javi Lopez
0
#25
Pablo Menendez Agudin
0
#26
Eric Bailly
2
#27
Leander Dendoncker
4
#1
Rahim Alhassane
0
#2
Alberto Reina
0
#3
Marco Esteban
0
#4
Omar Falah
0
No.
Player
Value
#1
Rahim Alhassane
0
#2
Alberto Reina
0
#3
Marco Esteban
0
#4
Omar Falah
0
#5
Luka Ilic
0
#6
Salomon Rondon
0
#7
Nacho Vidal
0
#8
Dani Calvo
0
#9
Haissem Hassan
0
#10
Federico Vinas
0
#11
Borja Sanchez
0
#12
Kwasi Sibo
0
#13
Ilyas Chaira
0
#14
Aaron Escandell
0
#15
Oier Luengo
0
#16
Santi Cazorla
0
#17
Josip Brekalo
0
#18
Ovie Ejaria
0
#19
David Costas
0
#20
Alex Fores
0
#21
Santiago Colombatto
0
#22
Lucas Ahijado
0
#23
David Carmo
0
#24
Javi Lopez
0
#25
Pablo Menendez Agudin
0
#26
Eric Bailly
1
#27
Leander Dendoncker
5
#1
Leander Dendoncker
0.1
No.
Player
Value
#1
Leander Dendoncker
0
#2
Eric Bailly
0
#3
Rahim Alhassane
0
#4
Alberto Reina
0
#5
Marco Esteban
0
#6
Omar Falah
0
#7
Luka Ilic
0
#8
Salomon Rondon
0
#9
Nacho Vidal
0
#10
Dani Calvo
0
#11
Haissem Hassan
0
#12
Federico Vinas
0
#13
Borja Sanchez
0
#14
Kwasi Sibo
0
#15
Ilyas Chaira
0
#16
Aaron Escandell
0
#17
Oier Luengo
0
#18
Santi Cazorla
0
#19
Josip Brekalo
0
#20
Ovie Ejaria
0
#21
David Costas
0
#22
Alex Fores
0
#23
Santiago Colombatto
0
#24
Lucas Ahijado
0
#25
David Carmo
0
#26
Javi Lopez
0
#27
Pablo Menendez Agudin
0
Mallorca: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Mallorca is among the very best, setting the standard for the league.
Average Stats
These stats show Mallorca`s solid, reliable contributions that are in line with the majority of players in his position.
#13
Mallorca
836
#14
Osasuna
806
#15
Deportivo Alaves
801
#16
Valencia CF
793
Weak Stats
These are the areas where Mallorca`s performance falls below the league average.
Real Oviedo: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Real Oviedo is among the very best, setting the standard for the league.
#1
Real Oviedo
149
#2
Elche
147
#3
Rayo Vallecano
145
#4
Getafe
141
Very Good Stats
These are the areas where Real Oviedo consistently performs at a high level, placing him near the top of the league.
#2
Real Oviedo
325
#3
Elche
320
#4
Girona FC
302
#5
Osasuna
295
Average Stats
These stats show Real Oviedo`s solid, reliable contributions that are in line with the majority of players in his position.
#13
Real Oviedo
5267
#13
Real Oviedo
5578
Weak Stats
These are the areas where Real Oviedo`s performance falls below the league average.
#19
Real Oviedo
13.77
#19
Real Oviedo
463
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Mallorca & Real Oviedo`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, | 61.03 53.91 |
| 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 | 57.51 53.91 |
| 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 | 56.98 50 |
| Offensive interventions | 134.8 123.47 |
Goals & Assists
| Goals | 15 7 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 13 4 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 1 |
| Goals by head ⓘ Goals by head | 3 1 |
| Penalty goals ⓘ Penalty goals | 2 1 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 10 5 |
| Shots on Goal | 91 86 |
| 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. | 7.61 3.85 |
Goals & Shots conceded
| Goals conceeded | 22 22 |
| Goals by head conceeded Per 90 | 2 5 |
| Goals by foot conceeded | 18 15 |
| Shots on goal conceeded | 141 169 |
| Goals per 90 min conceeded | 1.47 1.47 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2347 2344 |
| 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 | 1817 1808 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 3631 3924 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 68 117 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 109 149 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 226 223 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 16 17 |
| 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. | 428 547 |
| 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. | 1044 1395 |
| 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. | 2471 2570 |
| 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. | 852 703 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 41 52 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 831 942 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 723 806 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1209 1265 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 836 953 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1237 1301 |
| 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. | 706 580 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 89.06 90.73 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 55.74 63.93 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.04 87.11 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 48.48 45.95 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 44.13 46.56 |
| 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. | 58.95 64.81 |
| 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. | 73.57 79.49 |
| 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. | 81.85 83.39 |
| 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. | 70.65 72.47 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 41.84 51.49 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 75.75 77.81 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 79.85 82.08 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 73.5 76.57 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 76.91 80.36 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 69.08 74.53 |
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. | 3169 3769 |
| 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 | 1124 967 |
| Offensive touches in phase Set Pieces ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch. In this case in the opponents box. | 320 306 |
| 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" | 588 536 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 687 704 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 578 463 |
| 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. | 386 390 |
| 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". | 383 310 |
| Total touches in phase Set Pieces | 706 696 |
| Total touches in phase Second ball | 971 846 |
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. | 110 95 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 446 401 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 54 66 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 138 171 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 353 275 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 25 33 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 17 20 |
| 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’ | 298 297 |
| 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 | 375 360 |
| 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 | 548 512 |
| 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’ | 354 267 |
| 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’ | 57 49 |
| Ball losses total | 1632 1485 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2022 1852 |
| 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 | 180 210 |
| 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 | 621 619 |
| 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 | 701 608 |
| 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 | 242 156 |
| 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 | 39 38 |
Defensive
| Ground duels won ⓘ Won ground duel. | 406 457 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 438 408 |
| Ariel duels won ⓘ Won aerial duel. | 199 158 |
| Ariel duels lost ⓘ Lost aerial duel. | 175 156 |
| 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. | 470 432 |
| 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 | 207 260 |
| 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. | 489 391 |
| 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. | 250 229 |
| Tackles | 844 865 |
| Clearances by foot | 273 358 |
| Ground duels total | 844 865 |
| Ground duels won % | 48.1 52.83 |
| Ground duels lost % | 51.9 47.17 |
| Ariel duels total | 374 314 |
| Ariel duels won % | 53.21 50.32 |
| Ariel duels lost % | 46.79 49.68 |
| Defensive stability ⓘ The ability to defend well | 381.8 462.9 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 398 439 |
| Succesful dribbles Per 90 | 3945 4151 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 275 325 |
| 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 | 549 651 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1016 959 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 361 294 |
| 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 | 345 449 |
| 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 | 1094 1150 |
| 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 | 553 425 |
| 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 | 153 155 |
| 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 | 393 451 |
| 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 | 328 328 |
| 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 | 514 510 |
| 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 | 350 347 |
| 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 | 638 618 |
| 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 | 274 348 |
| 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 | 904 963 |
| 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 | 448 318 |
| 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 | 130 121 |
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. | 16 13.77 |
| 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 | 16 13.77 |
| 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) | 0.87 0.85 |
| 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. | 3.35 1.84 |
| 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 | 1.56 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 1.07 1.97 |
| Open play Xg ⓘ Open play Xg value | 14.19 12.03 |
| Set piece Xg ⓘ Set piece Xg | 1.81 1.74 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.1 |
| Xg with foot ⓘ Xg with foot | 10.84 10.19 |
| 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. | -1 -6.77 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.35 -0.84 |
| 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. | 0.44 -0.56 |
| 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. | -0.25 -0.18 |
| 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. | 1.13 0.15 |
| 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. | -0.49 -1.47 |
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