Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 21 7 |
| Goals Per 90 | 1.91 0.64 |
| Shot at goal number ⓘ Number of shots. | 150 102 |
| Shots on Goal | 112 64 |
| Goals conceeded | 11 23 |
| Goals conceeded Per 90 | 1 2.09 |
| Matches won | 6 0 |
| Matches lost | 3 9 |
Scores
Team Form
Shooting Data & xG Analysis
All Chelsea`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| CHE | WOL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 21 7 |
| Goals Per 90 | 1.91 0.64 |
| Shot at goal number ⓘ Number of shots. | 150 102 |
| Shots on Goal | 112 64 |
| Goals conceeded | 11 23 |
| Goals conceeded Per 90 | 1 2.09 |
| Matches won | 6 0 |
| Matches lost | 3 9 |
Compare Yourself
Compare Chelsea
Other Comparisons
Match Prediction
Chelsea’s and Wolverhampton Wanderers’s Total Squad Salary
Salary Stats
#1
Joao Pedro
1.29
#2
Trevoh Chalobah
0.65
#3
Malo Gusto
0.36
#4
Moises Caicedo
0.32
No.
Player
Value
#1
Joao Pedro
1
#2
Trevoh Chalobah
1
#3
Malo Gusto
0
#4
Moises Caicedo
0
#5
Alejandro Garnacho
0
#6
Pedro Neto
0
#7
Enzo Fernandez
0
#8
Cole Palmer
0
#9
Reece James
0
#10
Jamie Gittens
0
#11
Josh Acheampong
0
#12
Andrey Santos
0
#13
Estevao
0
#14
Robert Sanchez
0
#15
Liam Delap
0
#16
Marc Cucurella
0
#17
Jorrel Hato
0
#18
Wesley Fofana
0
#19
Tosin Adarabioyo
0
#20
Tyrique George
0
#21
Facundo Buonanotte
0
#22
Filip Jorgensen
0
#23
Romeo Lavia
0
#24
Benoit Badiashile
0
#25
Marc Guiu
0
#1
Joao Pedro
3.56
#2
Trevoh Chalobah
3.23
#3
Robert Sanchez
2.96
#4
Malo Gusto
2.51
No.
Player
Value
#1
Joao Pedro
4
#2
Trevoh Chalobah
3
#3
Robert Sanchez
3
#4
Malo Gusto
3
#5
Jamie Gittens
2
#6
Alejandro Garnacho
2
#7
Romeo Lavia
1
#8
Facundo Buonanotte
1
#9
Moises Caicedo
1
#10
Pedro Neto
1
#11
Marc Cucurella
1
#12
Enzo Fernandez
1
#13
Marc Guiu
1
#14
Tosin Adarabioyo
1
#15
Liam Delap
1
#16
Benoit Badiashile
1
#17
Reece James
1
#18
Filip Jorgensen
1
#19
Cole Palmer
1
#20
Wesley Fofana
0
#21
Josh Acheampong
0
#22
Andrey Santos
0
#23
Estevao
0
#24
Jorrel Hato
0
#25
Tyrique George
0
#1
Malo Gusto
16.16
#2
Alejandro Garnacho
11.31
#3
Joao Pedro
10.34
#4
Trevoh Chalobah
9.37
No.
Player
Value
#1
Malo Gusto
16
#2
Alejandro Garnacho
11
#3
Joao Pedro
10
#4
Trevoh Chalobah
9
#5
Pedro Neto
8
#6
Jamie Gittens
8
#7
Moises Caicedo
7
#8
Enzo Fernandez
7
#9
Marc Cucurella
6
#10
Reece James
4
#11
Facundo Buonanotte
3
#12
Robert Sanchez
2
#13
Romeo Lavia
2
#14
Tosin Adarabioyo
1
#15
Cole Palmer
1
#16
Benoit Badiashile
1
#17
Liam Delap
1
#18
Wesley Fofana
1
#19
Filip Jorgensen
0
#20
Josh Acheampong
0
#21
Andrey Santos
0
#22
Estevao
0
#23
Jorrel Hato
0
#24
Tyrique George
0
#25
Marc Guiu
0
#1
Joao Pedro
0.95
No.
Player
Value
#1
Joao Pedro
1
#2
Marc Guiu
0
#3
Enzo Fernandez
0
#4
Liam Delap
0
#5
Trevoh Chalobah
0
#6
Alejandro Garnacho
0
#7
Pedro Neto
0
#8
Jamie Gittens
0
#9
Malo Gusto
0
#10
Cole Palmer
0
#11
Moises Caicedo
0
#12
Marc Cucurella
0
#13
Reece James
0
#14
Tosin Adarabioyo
0
#15
Wesley Fofana
0
#16
Josh Acheampong
0
#17
Andrey Santos
0
#18
Estevao
0
#19
Robert Sanchez
0
#20
Jorrel Hato
0
#21
Tyrique George
0
#22
Facundo Buonanotte
0
#23
Filip Jorgensen
0
#24
Romeo Lavia
0
#25
Benoit Badiashile
0
Salary Stats
#1
Ladislav Krejci
0.81
#2
Rodrigo Gomes
0.65
#3
Santiago Bueno
0.54
#4
Hee-chan Hwang
0.23
No.
Player
Value
#1
Ladislav Krejci
1
#2
Rodrigo Gomes
1
#3
Santiago Bueno
1
#4
Hee-chan Hwang
0
#5
Fer Lopez
0
#6
Ki-Jana Hoever
0
#7
Jorgen Strand Larsen
0
#8
Jean-Ricner Bellegarde
0
#9
Jhon Arias
0
#10
Marshall Munetsi
0
#11
Jose Sa
0
#12
Hugo Bueno
0
#13
Andre
0
#14
Joao Gomes
0
#15
Emmanuel Agbadou
0
#16
Matt Doherty
0
#17
Toti
0
#18
David Moller Wolfe
0
#19
Jackson Tchatchoua
0
#20
Sasa Kalajdzic
0
#21
Sam Johnstone
0
#22
Tolu Arokodare
0
#23
Yerson Mosquera
0
#24
Mateus Mane
0
#1
Joao Gomes
12.39
#2
Ladislav Krejci
12.1
#3
Toti
11.64
#4
Andre
10.62
No.
Player
Value
#1
Joao Gomes
12
#2
Ladislav Krejci
12
#3
Toti
12
#4
Andre
11
#5
Jean-Ricner Bellegarde
10
#6
Rodrigo Gomes
10
#7
Santiago Bueno
8
#8
Sam Johnstone
5
#9
Jose Sa
4
#10
Ki-Jana Hoever
4
#11
Hee-chan Hwang
4
#12
Matt Doherty
2
#13
Sasa Kalajdzic
1
#14
Fer Lopez
0
#15
Jorgen Strand Larsen
0
#16
Jhon Arias
0
#17
Marshall Munetsi
0
#18
Hugo Bueno
0
#19
Emmanuel Agbadou
0
#20
David Moller Wolfe
0
#21
Jackson Tchatchoua
0
#22
Tolu Arokodare
0
#23
Yerson Mosquera
0
#24
Mateus Mane
0
#1
Ladislav Krejci
33.87
#2
Joao Gomes
26.93
#3
Toti
12.93
#4
Rodrigo Gomes
12.28
No.
Player
Value
#1
Ladislav Krejci
34
#2
Joao Gomes
27
#3
Toti
13
#4
Rodrigo Gomes
12
#5
Andre
12
#6
Santiago Bueno
11
#7
Jean-Ricner Bellegarde
10
#8
Ki-Jana Hoever
9
#9
Matt Doherty
5
#10
Sam Johnstone
4
#11
Jose Sa
2
#12
Hee-chan Hwang
2
#13
Sasa Kalajdzic
0
#14
Fer Lopez
0
#15
Jorgen Strand Larsen
0
#16
Jhon Arias
0
#17
Marshall Munetsi
0
#18
Hugo Bueno
0
#19
Emmanuel Agbadou
0
#20
David Moller Wolfe
0
#21
Jackson Tchatchoua
0
#22
Tolu Arokodare
0
#23
Yerson Mosquera
0
#24
Mateus Mane
0
#1
Ladislav Krejci
0.7
#2
Rodrigo Gomes
0.59
#3
Santiago Bueno
0.34
#4
Joao Gomes
0.23
No.
Player
Value
#1
Ladislav Krejci
1
#2
Rodrigo Gomes
1
#3
Santiago Bueno
0
#4
Joao Gomes
0
#5
Hee-chan Hwang
0
#6
Jean-Ricner Bellegarde
0
#7
Matt Doherty
0
#8
Andre
0
#9
Toti
0
#10
Ki-Jana Hoever
0
#11
Fer Lopez
0
#12
Jorgen Strand Larsen
0
#13
Jhon Arias
0
#14
Marshall Munetsi
0
#15
Jose Sa
0
#16
Hugo Bueno
0
#17
Emmanuel Agbadou
0
#18
David Moller Wolfe
0
#19
Jackson Tchatchoua
0
#20
Sasa Kalajdzic
0
#21
Sam Johnstone
0
#22
Tolu Arokodare
0
#23
Yerson Mosquera
0
#24
Mateus Mane
0
Chelsea: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Chelsea is among the very best, setting the standard for the league.
#1
Chelsea
553
#2
Manchester City
527
#3
Brighton and Hove Albion
480
#4
Aston Villa
472
Very Good Stats
These are the areas where Chelsea consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Chelsea`s solid, reliable contributions that are in line with the majority of players in his position.
#7
Chelsea
418
#8
Aston Villa
417
#9
Brighton and Hove Albion
414
#10
Nottingham Forrest
410
#7
Chelsea
67
#8
Aston Villa
67
#9
Manchester City
63
#10
AFC Bournemouth
62
Weak Stats
These are the areas where Chelsea`s performance falls below the league average.
Wolverhampton Wanderers: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Wolverhampton Wanderers is among the very best, setting the standard for the league.
Average Stats
These stats show Wolverhampton Wanderers`s solid, reliable contributions that are in line with the majority of players in his position.
#13
Wolverhampton Wanderers
714
#14
Crystal Palace
712
#15
Aston Villa
710
#16
Everton FC
688
Weak Stats
These are the areas where Wolverhampton Wanderers`s performance falls below the league average.
#19
Wolverhampton Wanderers
102
#19
Wolverhampton Wanderers
185
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Chelsea & Wolverhampton Wanderers`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, | 81.42 52.81 |
| 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 | 72.43 52.28 |
| 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 | 75.19 50.66 |
| Offensive interventions | 123.73 135.64 |
Goals & Assists
| Goals | 21 7 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 18 6 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 0 |
| Goals by head ⓘ Goals by head | 6 1 |
| Penalty goals ⓘ Penalty goals | 1 1 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 14 4 |
| Shots on Goal | 112 64 |
| 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. | 11.17 4.29 |
Goals & Shots conceded
| Goals conceeded | 11 23 |
| Goals by head conceeded Per 90 | 3 5 |
| Goals by foot conceeded | 8 17 |
| Shots on goal conceeded | 67 103 |
| Goals per 90 min conceeded | 1 2.09 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2018 1656 |
| 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 | 1572 1278 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 4271 2834 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 67 76 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 88 98 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 166 180 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 32 8 |
| 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. | 367 305 |
| 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. | 946 734 |
| 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. | 2829 1981 |
| 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. | 1007 655 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 70 47 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 968 703 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 895 563 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1579 930 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 957 615 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 820 911 |
| 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. | 660 499 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.03 91.3 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 51.94 57.14 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 94.32 87.8 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 71.11 30.77 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 43.14 44.55 |
| 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. | 66.85 59.22 |
| 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. | 81.98 72.32 |
| 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. | 88.32 84.37 |
| 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. | 80.43 73.27 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.69 47 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 80.16 76.11 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 85.07 81.46 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 84.17 75.3 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 83.64 75.98 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 81.21 74.47 |
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. | 3882 2596 |
| 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 | 832 781 |
| 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. | 356 208 |
| 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" | 357 437 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 479 481 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 380 354 |
| 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. | 244 352 |
| 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". | 265 325 |
| Total touches in phase Set Pieces | 600 560 |
| Total touches in phase Second ball | 622 762 |
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. | 102 80 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 320 270 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 62 57 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 116 122 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 171 276 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 10 25 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 13 18 |
| 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’ | 182 210 |
| 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 | 208 281 |
| 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 | 374 367 |
| 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’ | 245 239 |
| 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’ | 58 53 |
| Ball losses total | 1067 1150 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1361 1492 |
| 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 | 88 125 |
| Ball regains frist third of pitch ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here frist third of pitch | 322 426 |
| 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 | 529 494 |
| 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 | 198 209 |
| 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 | 44 28 |
Defensive
| Ground duels won ⓘ Won ground duel. | 317 348 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 282 332 |
| Ariel duels won ⓘ Won aerial duel. | 129 148 |
| Ariel duels lost ⓘ Lost aerial duel. | 105 147 |
| 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. | 300 285 |
| 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 | 154 199 |
| 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. | 295 334 |
| 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. | 158 214 |
| Tackles | 599 680 |
| Clearances by foot | 222 244 |
| Ground duels total | 599 680 |
| Ground duels won % | 52.92 51.18 |
| Ground duels lost % | 47.08 48.82 |
| Ariel duels total | 234 295 |
| Ariel duels won % | 55.13 50.17 |
| Ariel duels lost % | 44.87 49.83 |
| Defensive stability ⓘ The ability to defend well | 287.1 333.4 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 360 276 |
| Succesful dribbles Per 90 | 4280 3075 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 207 208 |
| 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 | 418 376 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 900 714 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 370 243 |
| 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 | 277 243 |
| 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 | 944 754 |
| 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 | 498 364 |
| 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 | 162 135 |
| 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 | 384 313 |
| 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 | 338 223 |
| 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 | 553 382 |
| 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 | 310 251 |
| 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 | 350 396 |
| 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 | 240 185 |
| 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 | 790 626 |
| 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 | 375 293 |
| 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 | 127 120 |
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. | 20.09 11.49 |
| 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 | 20.09 11.49 |
| 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) | 0.77 0.49 |
| 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. | 4.43 1.68 |
| 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 0.78 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 0.96 1.92 |
| Open play Xg ⓘ Open play Xg value | 18.88 10.23 |
| Set piece Xg ⓘ Set piece Xg | 1.11 1.26 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.11 |
| Xg with foot ⓘ Xg with foot | 14.45 8.54 |
| 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. | 0.91 -5.49 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 1.57 -0.68 |
| 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. | 0.22 0.22 |
| 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 -0.49 |
| Goals minus Xg long distance shot ⓘ Long distance goals (more than 22 meters) minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.23 -0.49 |
| 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. | 2.56 -0.07 |
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