Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 35 20 |
| Goals Per 90 | 2.33 1.33 |
| Shot at goal number ⓘ Number of shots. | 216 170 |
| Shots on Goal | 153 115 |
| Goals conceeded | 16 22 |
| Goals conceeded Per 90 | 1.07 1.47 |
| Matches won | 10 5 |
| Matches lost | 4 8 |
Scores
Team Form
Shooting Data & xG Analysis
All Manchester City`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| MCI | FUL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 35 20 |
| Goals Per 90 | 2.33 1.33 |
| Shot at goal number ⓘ Number of shots. | 216 170 |
| Shots on Goal | 153 115 |
| Goals conceeded | 16 22 |
| Goals conceeded Per 90 | 1.07 1.47 |
| Matches won | 10 5 |
| Matches lost | 4 8 |
Compare Yourself
Compare Manchester City
Other Comparisons
Match Prediction
Manchester City’s and Fulham’s Total Squad Salary
Salary Stats
#1
Rico Lewis
0
#2
Nico OReilly
0
#3
Abdukodir Khusanov
0
#4
John Stones
0
No.
Player
Value
#1
Rico Lewis
0
#2
Nico OReilly
0
#3
Abdukodir Khusanov
0
#4
John Stones
0
#5
Rayan Ait-Nouri
0
#6
Nico Gonzalez
0
#7
James Trafford
0
#8
Omar Marmoush
0
#9
Bernardo Silva
0
#10
Nathan Ake
0
#11
Rodri
0
#12
Gianluigi Donnarumma
0
#13
Savinho
0
#14
Mateo Kovacic
0
#15
Matheus Nunes
0
#16
Josko Gvardiol
0
#17
Ruben Dias
0
#18
Rayan Cherki
0
#19
Jeremy Doku
0
#20
Oscar Bobb
0
#21
Phil Foden
0
#22
Erling Haaland
1
#23
Tijjani Reijnders
1
#1
Nico OReilly
0
#2
Abdukodir Khusanov
0
#3
Rayan Ait-Nouri
0
#4
Nico Gonzalez
0
No.
Player
Value
#1
Nico OReilly
0
#2
Abdukodir Khusanov
0
#3
Rayan Ait-Nouri
0
#4
Nico Gonzalez
0
#5
Savinho
0
#6
Mateo Kovacic
0
#7
Rodri
0
#8
Erling Haaland
1
#9
John Stones
1
#10
Nathan Ake
1
#11
Bernardo Silva
1
#12
Gianluigi Donnarumma
1
#13
Josko Gvardiol
1
#14
Phil Foden
1
#15
Ruben Dias
1
#16
Matheus Nunes
2
#17
Oscar Bobb
3
#18
James Trafford
3
#19
Rico Lewis
3
#20
Rayan Cherki
3
#21
Jeremy Doku
5
#22
Omar Marmoush
6
#23
Tijjani Reijnders
7
#1
Nico OReilly
0
#2
Abdukodir Khusanov
0
#3
Rayan Ait-Nouri
0
#4
Nico Gonzalez
0
No.
Player
Value
#1
Nico OReilly
0
#2
Abdukodir Khusanov
0
#3
Rayan Ait-Nouri
0
#4
Nico Gonzalez
0
#5
Savinho
0
#6
Mateo Kovacic
0
#7
Gianluigi Donnarumma
0
#8
John Stones
0
#9
Erling Haaland
1
#10
Rodri
1
#11
Nathan Ake
2
#12
James Trafford
3
#13
Josko Gvardiol
4
#14
Bernardo Silva
4
#15
Phil Foden
5
#16
Ruben Dias
5
#17
Omar Marmoush
6
#18
Rico Lewis
7
#19
Matheus Nunes
12
#20
Rayan Cherki
16
#21
Oscar Bobb
21
#22
Tijjani Reijnders
37
#23
Jeremy Doku
50
#1
Tijjani Reijnders
1.14
#2
Omar Marmoush
0.83
#3
Erling Haaland
0.56
#4
Jeremy Doku
0.39
No.
Player
Value
#1
Tijjani Reijnders
1
#2
Omar Marmoush
1
#3
Erling Haaland
1
#4
Jeremy Doku
0
#5
Rayan Cherki
0
#6
Oscar Bobb
0
#7
Phil Foden
0
#8
Josko Gvardiol
0
#9
Matheus Nunes
0
#10
Rico Lewis
0
#11
Ruben Dias
0
#12
Bernardo Silva
0
#13
Nathan Ake
0
#14
Rodri
0
#15
Nico OReilly
0
#16
Abdukodir Khusanov
0
#17
John Stones
0
#18
Rayan Ait-Nouri
0
#19
Nico Gonzalez
0
#20
James Trafford
0
#21
Gianluigi Donnarumma
0
#22
Savinho
0
#23
Mateo Kovacic
0
Salary Stats
#1
Josh King
0
No.
Player
Value
#1
Josh King
0
#2
Sander Berge
0
#3
Joachim Andersen
0
#4
Bernd Leno
0
#5
Tom Cairney
0
#6
Timothy Castagne
0
#7
Jorge Cuenca
0
#8
Calvin Bassey
0
#9
Adama Traore
0
#10
Rodrigo Muniz
0
#11
Antonee Robinson
0
#12
Ryan Sessegnon
0
#13
Kevin
0
#14
Issa Diop
0
#15
Jonah Kusi-Asare
0
#16
Harrison Reed
0
#17
Sasa Lukic
0
#18
Raul Jimenez
0
#19
Kenny Tete
0
#20
Samuel Chukwueze
0
#21
Alex Iwobi
0
#22
Emile Smith Rowe
1
#23
Harry Wilson
2
#1
Josh King
0
#2
Sander Berge
0
#3
Rodrigo Muniz
0
#4
Ryan Sessegnon
0
No.
Player
Value
#1
Josh King
0
#2
Sander Berge
0
#3
Rodrigo Muniz
0
#4
Ryan Sessegnon
0
#5
Kevin
0
#6
Jonah Kusi-Asare
0
#7
Harrison Reed
0
#8
Issa Diop
1
#9
Antonee Robinson
2
#10
Jorge Cuenca
2
#11
Bernd Leno
3
#12
Samuel Chukwueze
3
#13
Raul Jimenez
3
#14
Joachim Andersen
4
#15
Adama Traore
4
#16
Alex Iwobi
4
#17
Timothy Castagne
5
#18
Kenny Tete
5
#19
Sasa Lukic
5
#20
Tom Cairney
5
#21
Emile Smith Rowe
6
#22
Calvin Bassey
8
#23
Harry Wilson
9
#1
Josh King
0
#2
Sander Berge
0
#3
Rodrigo Muniz
0
#4
Ryan Sessegnon
0
No.
Player
Value
#1
Josh King
0
#2
Sander Berge
0
#3
Rodrigo Muniz
0
#4
Ryan Sessegnon
0
#5
Kevin
0
#6
Jonah Kusi-Asare
0
#7
Harrison Reed
0
#8
Bernd Leno
1
#9
Jorge Cuenca
2
#10
Issa Diop
2
#11
Raul Jimenez
2
#12
Adama Traore
4
#13
Antonee Robinson
5
#14
Timothy Castagne
6
#15
Emile Smith Rowe
6
#16
Samuel Chukwueze
7
#17
Tom Cairney
8
#18
Sasa Lukic
12
#19
Calvin Bassey
12
#20
Joachim Andersen
13
#21
Alex Iwobi
20
#22
Harry Wilson
23
#23
Kenny Tete
26
#1
Harry Wilson
1.03
#2
Emile Smith Rowe
0.51
#3
Raul Jimenez
0.45
#4
Sasa Lukic
0.29
No.
Player
Value
#1
Harry Wilson
1
#2
Emile Smith Rowe
1
#3
Raul Jimenez
0
#4
Sasa Lukic
0
#5
Alex Iwobi
0
#6
Tom Cairney
0
#7
Samuel Chukwueze
0
#8
Joachim Andersen
0
#9
Timothy Castagne
0
#10
Kenny Tete
0
#11
Adama Traore
0
#12
Calvin Bassey
0
#13
Josh King
0
#14
Sander Berge
0
#15
Bernd Leno
0
#16
Jorge Cuenca
0
#17
Rodrigo Muniz
0
#18
Antonee Robinson
0
#19
Ryan Sessegnon
0
#20
Kevin
0
#21
Issa Diop
0
#22
Jonah Kusi-Asare
0
#23
Harrison Reed
0
Manchester City: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Manchester City is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Manchester City consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Manchester City`s solid, reliable contributions that are in line with the majority of players in his position.
#4
Manchester City
1245
#5
Liverpool FC
1223
#6
Tottenham Hotspur
1201
#7
Arsenal FC
1165
Weak Stats
These are the areas where Manchester City`s performance falls below the league average.
#15
Manchester City
371
#16
Chelsea
365
#17
FC Burnley
353
#18
Fulham
349
Fulham: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Fulham consistently performs at a high level, placing him near the top of the league.
#2
Fulham
626
#3
Crystal Palace
612
#4
Leeds United
610
#5
Tottenham Hotspur
583
Average Stats
These stats show Fulham`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Fulham`s performance falls below the league average.
#18
Fulham
277
#19
Crystal Palace
251
#20
AFC Sunderland
224
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Manchester City & Fulham`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, | 79.98 65.27 |
| 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 | 70.25 61.78 |
| 1vs1 Index offensive ⓘ The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc | 77.05 58.98 |
| Offensive interventions | 120.67 130.13 |
Goals & Assists
| Goals | 35 20 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 32 18 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 3 1 |
| Goals by head ⓘ Goals by head | 5 3 |
| Penalty goals ⓘ Penalty goals | 0 0 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 28 14 |
| Shots on Goal | 153 115 |
| 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. | 11.83 7.56 |
Goals & Shots conceded
| Goals conceeded | 16 22 |
| Goals by head conceeded Per 90 | 1 3 |
| Goals by foot conceeded | 14 17 |
| Shots on goal conceeded | 108 114 |
| Goals per 90 min conceeded | 1.07 1.47 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3059 2487 |
| 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 | 2295 1960 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6121 4655 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 93 84 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 117 112 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 232 239 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 33 25 |
| 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. | 458 530 |
| 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. | 1287 1318 |
| 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. | 3759 2853 |
| 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. | 1764 1037 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 100 76 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1590 1083 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1206 952 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1872 1530 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1264 1026 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1436 1223 |
| 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. | 1049 771 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.44 91.65 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.03 58.74 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 85.61 87.55 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 55.93 43.86 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 45 39.72 |
| 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. | 69.18 65.68 |
| 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. | 80.04 79.02 |
| 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. | 89.95 85.29 |
| 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. | 85.71 75.8 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 53.19 54.68 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 81.64 77.31 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 86.75 81.82 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 84.4 78.7 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 86.83 82.57 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 84.94 77.69 |
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. | 5758 4234 |
| 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 | 1066 1171 |
| 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. | 333 277 |
| 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" | 517 480 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 643 649 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 436 512 |
| 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. | 371 418 |
| 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". | 371 399 |
| Total touches in phase Set Pieces | 704 695 |
| Total touches in phase Second ball | 888 879 |
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. | 97 124 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 430 424 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 50 59 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 143 170 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 253 289 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 39 34 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 26 32 |
| 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’ | 204 277 |
| 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 | 321 350 |
| 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 | 420 492 |
| 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’ | 294 331 |
| 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’ | 88 63 |
| Ball losses total | 1327 1513 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1810 1952 |
| 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 | 139 178 |
| 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 | 493 546 |
| 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 | 609 670 |
| 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 | 250 240 |
| 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 | 68 60 |
Defensive
| Ground duels won ⓘ Won ground duel. | 409 414 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 423 416 |
| Ariel duels won ⓘ Won aerial duel. | 179 140 |
| Ariel duels lost ⓘ Lost aerial duel. | 136 195 |
| 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. | 380 462 |
| 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 | 182 194 |
| 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. | 401 425 |
| 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. | 238 252 |
| Tackles | 832 830 |
| Clearances by foot | 272 316 |
| Ground duels total | 832 830 |
| Ground duels won % | 49.16 49.88 |
| Ground duels lost % | 50.84 50.12 |
| Ariel duels total | 315 335 |
| Ariel duels won % | 56.83 41.79 |
| Ariel duels lost % | 43.17 58.21 |
| Defensive stability ⓘ The ability to defend well | 403.7 297.6 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 670 398 |
| Succesful dribbles Per 90 | 6143 4858 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 273 274 |
| 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 | 659 626 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1359 1008 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 620 420 |
| 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 | 465 423 |
| 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 | 1381 1089 |
| 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 | 771 580 |
| 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 | 278 191 |
| 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 | 653 522 |
| 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 | 468 393 |
| 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 | 711 544 |
| 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 | 490 348 |
| 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 | 652 561 |
| 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 | 381 347 |
| 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 | 1096 951 |
| 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 | 557 450 |
| 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 | 194 149 |
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. | 27.45 16.98 |
| 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. Per 90 | 27.45 16.98 |
| 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) | 0.86 0.78 |
| 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. | 4.01 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 | 0.78 0 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 0.83 1 |
| Open play Xg ⓘ Open play Xg value | 26.33 16.68 |
| Set piece Xg ⓘ Set piece Xg | 1.11 0.31 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.1 |
| Xg with foot ⓘ Xg with foot | 22.33 13.97 |
| 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. | 5.55 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. | 0.99 0.29 |
| 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. | -0.78 0 |
| 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. | -0.33 -0.31 |
| 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. | 2.14 0.22 |
| 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. | 0.35 -1.45 |
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