Head to Head Matches
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 60 63 |
| Goals Per 90 | 1.62 1.7 |
| Shot at goal number ⓘ Number of shots. | 449 396 |
| Shots on Goal | 305 258 |
| Goals conceeded | 41 50 |
| Goals conceeded Per 90 | 1.11 1.35 |
| Matches won | 19 20 |
| Matches lost | 13 15 |
Scores
Team Form
Shooting Data & xG Analysis
All New York City FC`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| NYC | CHA | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 60 63 |
| Goals Per 90 | 1.62 1.7 |
| Shot at goal number ⓘ Number of shots. | 449 396 |
| Shots on Goal | 305 258 |
| Goals conceeded | 41 50 |
| Goals conceeded Per 90 | 1.11 1.35 |
| Matches won | 19 20 |
| Matches lost | 13 15 |
Compare Yourself
Compare New York City FC
New York City FC’s and Charlotte FC’s Total Squad Salary
Salary Stats
#1
Hannes Wolf
8.54
#2
Thiago Martins
0.54
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
No.
Player
Value
#1
Hannes Wolf
9
#2
Thiago Martins
1
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
#5
Andres Perea
0
#6
Maxi Moralez
0
#7
Keaton Parks
0
#8
Matt Freese
0
#9
Justin Haak
0
#10
Mitja Ilenic
0
#11
Julian Fernandez
0
#12
Kevin OToole
0
#13
Agustin Ojeda
0
#14
Monsef Bakrar
0
#15
Alonso Martinez
0
#16
Jonathan Shore
0
#17
Nico Cavallo
0
#18
Tayvon Gray
0
#19
Maximo Carrizo
0
#20
Seymour Reid
0
#21
Aiden ONeill
0
#22
Tomas Romero
0
#23
Sebastiano Musu
0
#24
Nicolas Fernandez Mercau
0
#25
Raul Gustavo
0
#1
Hannes Wolf
31.06
#2
Thiago Martins
19.02
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
No.
Player
Value
#1
Hannes Wolf
31
#2
Thiago Martins
19
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
#5
Andres Perea
0
#6
Maxi Moralez
0
#7
Keaton Parks
0
#8
Matt Freese
0
#9
Justin Haak
0
#10
Mitja Ilenic
0
#11
Julian Fernandez
0
#12
Kevin OToole
0
#13
Agustin Ojeda
0
#14
Monsef Bakrar
0
#15
Alonso Martinez
0
#16
Jonathan Shore
0
#17
Nico Cavallo
0
#18
Tayvon Gray
0
#19
Maximo Carrizo
0
#20
Seymour Reid
0
#21
Aiden ONeill
0
#22
Tomas Romero
0
#23
Sebastiano Musu
0
#24
Nicolas Fernandez Mercau
0
#25
Raul Gustavo
0
#1
Hannes Wolf
186.34
#2
Thiago Martins
52.72
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
No.
Player
Value
#1
Hannes Wolf
186
#2
Thiago Martins
53
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
#5
Andres Perea
0
#6
Maxi Moralez
0
#7
Keaton Parks
0
#8
Matt Freese
0
#9
Justin Haak
0
#10
Mitja Ilenic
0
#11
Julian Fernandez
0
#12
Kevin OToole
0
#13
Agustin Ojeda
0
#14
Monsef Bakrar
0
#15
Alonso Martinez
0
#16
Jonathan Shore
0
#17
Nico Cavallo
0
#18
Tayvon Gray
0
#19
Maximo Carrizo
0
#20
Seymour Reid
0
#21
Aiden ONeill
0
#22
Tomas Romero
0
#23
Sebastiano Musu
0
#24
Nicolas Fernandez Mercau
0
#25
Raul Gustavo
0
#1
Hannes Wolf
5.56
#2
Thiago Martins
0.9
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
No.
Player
Value
#1
Hannes Wolf
6
#2
Thiago Martins
1
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
#5
Andres Perea
0
#6
Maxi Moralez
0
#7
Keaton Parks
0
#8
Matt Freese
0
#9
Justin Haak
0
#10
Mitja Ilenic
0
#11
Julian Fernandez
0
#12
Kevin OToole
0
#13
Agustin Ojeda
0
#14
Monsef Bakrar
0
#15
Alonso Martinez
0
#16
Jonathan Shore
0
#17
Nico Cavallo
0
#18
Tayvon Gray
0
#19
Maximo Carrizo
0
#20
Seymour Reid
0
#21
Aiden ONeill
0
#22
Tomas Romero
0
#23
Sebastiano Musu
0
#24
Nicolas Fernandez Mercau
0
#25
Raul Gustavo
0
Salary Stats
#1
Pep Biel
5.55
#2
Wilfried Zaha
3.08
#3
Liel Abada
2.36
#4
Eryk Williamson
0
No.
Player
Value
#1
Pep Biel
6
#2
Wilfried Zaha
3
#3
Liel Abada
2
#4
Eryk Williamson
0
#5
Tim Ream
0
#6
Ashley Westwood
0
#7
Nathan Byrne
0
#8
Djibril Diani
0
#9
Brandt Bronico
0
#10
Kristijan Kahlina
0
#11
Adilson Malanda
0
#12
Kerwin Vargas
0
#13
Idan Toklomati
0
#14
Patrick Agyemang
0
#15
Andrew Privett
0
#16
Tyger Smalls
0
#17
Iuri Tavares
0
#18
Souleyman Doumbia
0
#19
Nick Scardina
0
#20
Jahkeele Marshall-Rutty
0
#21
Jack Neeley
0
#22
David Bingham
0
#23
Bill Tuiloma
0
#24
Brandon Cambridge
0
#25
Nikola Petkovic
0
#26
Harry Toffolo
0
#27
Archie Goodwin
0
#28
Baye Coulibaly
0
#1
Liel Abada
21.74
#2
Pep Biel
21.63
#3
Wilfried Zaha
13.54
#4
Harry Toffolo
1.39
No.
Player
Value
#1
Liel Abada
22
#2
Pep Biel
22
#3
Wilfried Zaha
14
#4
Harry Toffolo
1
#5
Eryk Williamson
0
#6
Tim Ream
0
#7
Ashley Westwood
0
#8
Nathan Byrne
0
#9
Djibril Diani
0
#10
Brandt Bronico
0
#11
Kristijan Kahlina
0
#12
Adilson Malanda
0
#13
Kerwin Vargas
0
#14
Idan Toklomati
0
#15
Patrick Agyemang
0
#16
Andrew Privett
0
#17
Tyger Smalls
0
#18
Iuri Tavares
0
#19
Souleyman Doumbia
0
#20
Nick Scardina
0
#21
Jahkeele Marshall-Rutty
0
#22
Jack Neeley
0
#23
David Bingham
0
#24
Bill Tuiloma
0
#25
Brandon Cambridge
0
#26
Nikola Petkovic
0
#27
Archie Goodwin
0
#28
Baye Coulibaly
0
#1
Wilfried Zaha
94.15
#2
Pep Biel
70.98
#3
Liel Abada
53.88
#4
Harry Toffolo
22.16
No.
Player
Value
#1
Wilfried Zaha
94
#2
Pep Biel
71
#3
Liel Abada
54
#4
Harry Toffolo
22
#5
Eryk Williamson
0
#6
Tim Ream
0
#7
Ashley Westwood
0
#8
Nathan Byrne
0
#9
Djibril Diani
0
#10
Brandt Bronico
0
#11
Kristijan Kahlina
0
#12
Adilson Malanda
0
#13
Kerwin Vargas
0
#14
Idan Toklomati
0
#15
Patrick Agyemang
0
#16
Andrew Privett
0
#17
Tyger Smalls
0
#18
Iuri Tavares
0
#19
Souleyman Doumbia
0
#20
Nick Scardina
0
#21
Jahkeele Marshall-Rutty
0
#22
Jack Neeley
0
#23
David Bingham
0
#24
Bill Tuiloma
0
#25
Brandon Cambridge
0
#26
Nikola Petkovic
0
#27
Archie Goodwin
0
#28
Baye Coulibaly
0
#1
Pep Biel
4.3
#2
Liel Abada
3.54
#3
Wilfried Zaha
2.68
#4
Harry Toffolo
0.13
No.
Player
Value
#1
Pep Biel
4
#2
Liel Abada
4
#3
Wilfried Zaha
3
#4
Harry Toffolo
0
#5
Eryk Williamson
0
#6
Tim Ream
0
#7
Ashley Westwood
0
#8
Nathan Byrne
0
#9
Djibril Diani
0
#10
Brandt Bronico
0
#11
Kristijan Kahlina
0
#12
Adilson Malanda
0
#13
Kerwin Vargas
0
#14
Idan Toklomati
0
#15
Patrick Agyemang
0
#16
Andrew Privett
0
#17
Tyger Smalls
0
#18
Iuri Tavares
0
#19
Souleyman Doumbia
0
#20
Nick Scardina
0
#21
Jahkeele Marshall-Rutty
0
#22
Jack Neeley
0
#23
David Bingham
0
#24
Bill Tuiloma
0
#25
Brandon Cambridge
0
#26
Nikola Petkovic
0
#27
Archie Goodwin
0
#28
Baye Coulibaly
0
New York City FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where New York City FC is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where New York City FC consistently performs at a high level, placing him near the top of the league.
#2
New York City FC
1924
#3
San Diego FC
1856
#4
Portland Timbers
1675
#5
Philadelphia Union
1581
Average Stats
These stats show New York City FC`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where New York City FC`s performance falls below the league average.
Charlotte FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Charlotte FC consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Charlotte FC`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Charlotte FC`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare New York City FC & Charlotte FC`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, | 72.29 67.02 |
| 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 | 63.55 57 |
| 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 | 67.2 67.73 |
| Offensive interventions | 138.54 117.3 |
Goals & Assists
| Goals | 60 63 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 48 48 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 0 |
| Goals by head ⓘ Goals by head | 3 7 |
| Penalty goals ⓘ Penalty goals | 5 4 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 45 43 |
| Shots on Goal | 305 258 |
| 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. | 8.94 10.3 |
Goals & Shots conceded
| Goals conceeded | 41 50 |
| Goals by head conceeded Per 90 | 4 4 |
| Goals by foot conceeded | 34 37 |
| Shots on goal conceeded | 309 377 |
| Goals per 90 min conceeded | 1.11 1.35 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 7431 6371 |
| 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 | 5727 5006 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 13260 11824 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 191 288 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 314 303 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 592 521 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 79 67 |
| 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. | 1328 1361 |
| 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. | 3534 3312 |
| 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. | 8249 7148 |
| 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. | 3058 2890 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 187 190 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 3212 3042 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 2503 2300 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 4125 3836 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 2711 2472 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 3805 3251 |
| 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. | 2339 2106 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.92 91.78 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.32 71.11 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.8 88.01 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 52.67 58.77 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 41.76 48.56 |
| 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. | 68.88 71.18 |
| 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. | 78.55 80.29 |
| 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. | 85.46 86.51 |
| 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. | 77.34 78.64 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 47.95 58.82 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 78.32 81.95 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 82.03 83.8 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 81.14 81.51 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 81.74 81.91 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 78.06 78.67 |
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. | 11238 10682 |
| 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 | 3686 2895 |
| 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. | 1009 1024 |
| 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" | 1244 994 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1757 1661 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 1440 1202 |
| 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. | 1062 784 |
| 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". | 920 731 |
| Total touches in phase Set Pieces | 2071 1808 |
| Total touches in phase Second ball | 2164 1725 |
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. | 328 310 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 1325 1059 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 131 117 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 438 321 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 690 511 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 60 71 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 71 47 |
| 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’ | 600 551 |
| 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 | 965 813 |
| 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 | 1404 1115 |
| 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’ | 896 785 |
| 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’ | 203 133 |
| Ball losses total | 4068 3397 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 5126 4340 |
| 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 | 427 478 |
| 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 | 1390 1297 |
| 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 | 1800 1384 |
| 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 | 653 523 |
| 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 | 146 102 |
Defensive
| Ground duels won ⓘ Won ground duel. | 1222 841 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 1054 1015 |
| Ariel duels won ⓘ Won aerial duel. | 357 313 |
| Ariel duels lost ⓘ Lost aerial duel. | 380 334 |
| 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. | 1185 1057 |
| 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 | 657 471 |
| 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. | 1110 809 |
| 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. | 615 582 |
| Tackles | 2276 1856 |
| Clearances by foot | 815 682 |
| Ground duels total | 2276 1856 |
| Ground duels won % | 53.69 45.31 |
| Ground duels lost % | 46.31 54.69 |
| Ariel duels total | 737 647 |
| Ariel duels won % | 48.44 48.38 |
| Ariel duels lost % | 51.56 51.62 |
| Defensive stability ⓘ The ability to defend well | 1135.8 481.1 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 1422 1103 |
| Succesful dribbles Per 90 | 13766 12327 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 661 744 |
| 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 | 1732 1520 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 3385 2646 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 1295 1118 |
| 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 | 1203 994 |
| 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 | 3455 2832 |
| 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 | 1864 1656 |
| 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 | 475 450 |
| 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 | 1576 1338 |
| 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 | 1086 893 |
| 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 | 1465 1467 |
| 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 | 1118 1009 |
| 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 | 1924 1415 |
| 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 | 966 809 |
| 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 | 2811 2386 |
| 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 | 1470 1330 |
| 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 | 368 351 |
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. | 58.28 58.01 |
| 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 | 58.28 58.01 |
| 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) | 2.76 1.64 |
| 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. | 5 8.51 |
| 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 3.9 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 1.1 1.05 |
| Open play Xg ⓘ Open play Xg value | 51.95 52.87 |
| Set piece Xg ⓘ Set piece Xg | 6.28 4.92 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.15 |
| Xg with foot ⓘ Xg with foot | 46.95 44.36 |
| 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. | -5.28 -3.01 |
| 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 -1.51 |
| 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 0.1 |
| 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. | -0.82 -1.02 |
| 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. | -1.76 -1.64 |
| 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. | 3.42 2.43 |
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