Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 49 21 |
| Goals Per 90 | 3.77 1.62 |
| Shot at goal number ⓘ Number of shots. | 240 203 |
| Shots on Goal | 175 134 |
| Goals conceeded | 9 21 |
| Goals conceeded Per 90 | 0.69 1.62 |
| Matches won | 12 7 |
| Matches lost | 0 5 |
Scores
Team Form
Shooting Data & xG Analysis
All Bayern Munich`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| BAY | STU | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 49 21 |
| Goals Per 90 | 3.77 1.62 |
| Shot at goal number ⓘ Number of shots. | 240 203 |
| Shots on Goal | 175 134 |
| Goals conceeded | 9 21 |
| Goals conceeded Per 90 | 0.69 1.62 |
| Matches won | 12 7 |
| Matches lost | 0 5 |
Compare Yourself
Compare Bayern Munich
Other Comparisons
Match Prediction
League Stats
Bayern Munich’s and VfB Stuttgart’s Total Squad Salary
Salary Stats
#1
Leon Goretzka
0
No.
Player
Value
#1
Leon Goretzka
0
#2
Jonah Kusi-Asare
0
#3
Lennart Karl
0
#4
Sacha Boey
0
#5
Min-jae Kim
0
#6
Manuel Neuer
0
#7
Tom Bischof
0
#8
Wisdom Mike
0
#9
Jonas Urbig
0
#10
Hiroki Ito
0
#11
Joshua Kimmich
0
#12
Dayot Upamecano
0
#13
Josip Stanisic
0
#14
Serge Gnabry
0
#15
Konrad Laimer
0
#16
Raphael Guerreiro
0
#17
Jonathan Tah
0
#18
Michael Olise
0
#19
Nicolas Jackson
0
#20
Aleksandar Pavlovic
1
#21
Harry Kane
1
#22
Luis Diaz
2
#1
Jonah Kusi-Asare
0
#2
Lennart Karl
0
#3
Tom Bischof
0
#4
Wisdom Mike
0
No.
Player
Value
#1
Jonah Kusi-Asare
0
#2
Lennart Karl
0
#3
Tom Bischof
0
#4
Wisdom Mike
0
#5
Jonas Urbig
0
#6
Serge Gnabry
0
#7
Harry Kane
0
#8
Joshua Kimmich
0
#9
Raphael Guerreiro
0
#10
Min-jae Kim
0
#11
Manuel Neuer
0
#12
Leon Goretzka
1
#13
Hiroki Ito
1
#14
Michael Olise
1
#15
Dayot Upamecano
1
#16
Konrad Laimer
1
#17
Josip Stanisic
1
#18
Nicolas Jackson
1
#19
Sacha Boey
1
#20
Luis Diaz
3
#21
Jonathan Tah
3
#22
Aleksandar Pavlovic
5
#1
Jonah Kusi-Asare
0
#2
Lennart Karl
0
#3
Tom Bischof
0
#4
Wisdom Mike
0
No.
Player
Value
#1
Jonah Kusi-Asare
0
#2
Lennart Karl
0
#3
Tom Bischof
0
#4
Wisdom Mike
0
#5
Jonas Urbig
0
#6
Hiroki Ito
0
#7
Manuel Neuer
1
#8
Min-jae Kim
2
#9
Serge Gnabry
2
#10
Raphael Guerreiro
2
#11
Harry Kane
2
#12
Nicolas Jackson
3
#13
Leon Goretzka
4
#14
Dayot Upamecano
6
#15
Josip Stanisic
7
#16
Joshua Kimmich
8
#17
Konrad Laimer
12
#18
Sacha Boey
12
#19
Michael Olise
16
#20
Jonathan Tah
16
#21
Luis Diaz
39
#22
Aleksandar Pavlovic
51
#1
Luis Diaz
1.69
#2
Nicolas Jackson
0.41
#3
Harry Kane
0.38
#4
Michael Olise
0.29
No.
Player
Value
#1
Luis Diaz
2
#2
Nicolas Jackson
0
#3
Harry Kane
0
#4
Michael Olise
0
#5
Konrad Laimer
0
#6
Aleksandar Pavlovic
0
#7
Raphael Guerreiro
0
#8
Sacha Boey
0
#9
Serge Gnabry
0
#10
Jonathan Tah
0
#11
Dayot Upamecano
0
#12
Joshua Kimmich
0
#13
Leon Goretzka
0
#14
Josip Stanisic
0
#15
Min-jae Kim
0
#16
Jonah Kusi-Asare
0
#17
Lennart Karl
0
#18
Manuel Neuer
0
#19
Tom Bischof
0
#20
Wisdom Mike
0
#21
Jonas Urbig
0
#22
Hiroki Ito
0
Salary Stats
#1
Alexander Nubel
0
No.
Player
Value
#1
Alexander Nubel
0
#2
Luca Jaquez
0
#3
Lazar Jovanovic
0
#4
Jeff Chabot
0
#5
Atakan Karazor
0
#6
Josha Vagnoman
0
#7
Ramon Hendriks
0
#8
Nick Woltemade
0
#9
Jamie Leweling
0
#10
Finn Jeltsch
0
#11
Chema Andres
0
#12
Nikolas Nartey
0
#13
Lorenz Assignon
0
#14
Badredine Bouanani
0
#15
Ameen Al-Dakhil
0
#16
Pascal Stenzel
0
#17
Dan-Axel Zagadou
0
#18
Chris Fuhrich
0
#19
Angelo Stiller
1
#20
Bilal El Khannouss
1
#21
Maximilian Mittelstadt
1
#22
Ermedin Demirovic
1
#23
Deniz Undav
2
#24
Tiago Tomas
2
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Atakan Karazor
0
#4
Josha Vagnoman
0
No.
Player
Value
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Atakan Karazor
0
#4
Josha Vagnoman
0
#5
Ramon Hendriks
0
#6
Nick Woltemade
0
#7
Finn Jeltsch
0
#8
Chema Andres
0
#9
Nikolas Nartey
0
#10
Badredine Bouanani
0
#11
Pascal Stenzel
0
#12
Dan-Axel Zagadou
1
#13
Ermedin Demirovic
2
#14
Deniz Undav
5
#15
Alexander Nubel
6
#16
Ameen Al-Dakhil
7
#17
Chris Fuhrich
8
#18
Bilal El Khannouss
9
#19
Maximilian Mittelstadt
11
#20
Lorenz Assignon
11
#21
Jeff Chabot
12
#22
Tiago Tomas
13
#23
Angelo Stiller
16
#24
Jamie Leweling
21
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Atakan Karazor
0
#4
Josha Vagnoman
0
No.
Player
Value
#1
Luca Jaquez
0
#2
Lazar Jovanovic
0
#3
Atakan Karazor
0
#4
Josha Vagnoman
0
#5
Ramon Hendriks
0
#6
Nick Woltemade
0
#7
Finn Jeltsch
0
#8
Chema Andres
0
#9
Nikolas Nartey
0
#10
Badredine Bouanani
0
#11
Pascal Stenzel
0
#12
Ermedin Demirovic
2
#13
Alexander Nubel
4
#14
Dan-Axel Zagadou
5
#15
Deniz Undav
6
#16
Ameen Al-Dakhil
8
#17
Tiago Tomas
14
#18
Chris Fuhrich
17
#19
Lorenz Assignon
35
#20
Maximilian Mittelstadt
41
#21
Bilal El Khannouss
42
#22
Jeff Chabot
42
#23
Angelo Stiller
82
#24
Jamie Leweling
82
#1
Tiago Tomas
2.03
#2
Angelo Stiller
1.37
#3
Deniz Undav
1.1
#4
Jamie Leweling
1.03
No.
Player
Value
#1
Tiago Tomas
2
#2
Angelo Stiller
1
#3
Deniz Undav
1
#4
Jamie Leweling
1
#5
Ermedin Demirovic
1
#6
Maximilian Mittelstadt
1
#7
Lorenz Assignon
0
#8
Bilal El Khannouss
0
#9
Jeff Chabot
0
#10
Chris Fuhrich
0
#11
Ameen Al-Dakhil
0
#12
Dan-Axel Zagadou
0
#13
Alexander Nubel
0
#14
Luca Jaquez
0
#15
Lazar Jovanovic
0
#16
Atakan Karazor
0
#17
Josha Vagnoman
0
#18
Ramon Hendriks
0
#19
Nick Woltemade
0
#20
Finn Jeltsch
0
#21
Chema Andres
0
#22
Nikolas Nartey
0
#23
Badredine Bouanani
0
#24
Pascal Stenzel
0
Bayern Munich: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Bayern Munich is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Bayern Munich consistently performs at a high level, placing him near the top of the league.
#2
Bayern Munich
1374
#3
VfB Stuttgart
1178
#4
Eintracht Frankfurt
1120
#5
TSG 1899 Hoffenheim
1104
Average Stats
These stats show Bayern Munich`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Bayern Munich`s performance falls below the league average.
#17
Bayern Munich
1619
#17
Bayern Munich
1632
VfB Stuttgart: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where VfB Stuttgart is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where VfB Stuttgart consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show VfB Stuttgart`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where VfB Stuttgart`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Bayern Munich & VfB Stuttgart`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, | 100 65.12 |
| 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 | 93.44 56.5 |
| 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 | 100 69.12 |
| Offensive interventions | 124.54 138 |
Goals & Assists
| Goals | 49 21 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 41 20 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 1 |
| Goals by head ⓘ Goals by head | 5 3 |
| Penalty goals ⓘ Penalty goals | 5 2 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 37 16 |
| Shots on Goal | 175 134 |
| 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. | 15.74 7.72 |
Goals & Shots conceded
| Goals conceeded | 9 21 |
| Goals by head conceeded Per 90 | 1 0 |
| Goals by foot conceeded | 7 17 |
| Shots on goal conceeded | 67 118 |
| Goals per 90 min conceeded | 0.69 1.62 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3149 2432 |
| 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 | 2541 1966 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7164 4802 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 174 76 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 82 105 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 227 183 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 35 32 |
| 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. | 387 416 |
| 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. | 1181 990 |
| 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. | 4458 3382 |
| 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. | 2271 1148 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 122 62 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1910 1069 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1485 966 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2121 1633 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1373 1051 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1530 1279 |
| 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. | 1300 848 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.51 92.2 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 77.68 61.79 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 93.03 86.32 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 66.04 62.75 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 46.59 43.93 |
| 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. | 71.53 66.67 |
| 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. | 84.54 78.14 |
| 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. | 92.07 87.28 |
| 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. | 85.63 77 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 57.01 52.54 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 88.29 80.8 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 88.87 82.89 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 87.28 81.45 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 87.2 82.14 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 85.46 79.6 |
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. | 6666 4474 |
| 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 | 1107 1029 |
| 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. | 417 272 |
| 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" | 438 530 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 591 607 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 440 490 |
| 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. | 267 312 |
| 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". | 334 399 |
| Total touches in phase Set Pieces | 684 584 |
| Total touches in phase Second ball | 772 929 |
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. | 123 109 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 497 406 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 50 47 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 94 134 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 186 274 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 17 29 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 18 19 |
| 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’ | 154 208 |
| 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 | 216 277 |
| 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 | 384 493 |
| 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’ | 381 343 |
| 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’ | 92 56 |
| Ball losses total | 1227 1377 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1619 1794 |
| 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 | 95 139 |
| 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 | 335 396 |
| 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 | 614 705 |
| 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 | 284 241 |
| Ball regains in opponents box ⓘ Number of offensive ball recoveries. Here specifically: IN which area was the pass intercepted that was played by the opponent -> here the opponent's box Per 90 | 81 42 |
Defensive
| Ground duels won ⓘ Won ground duel. | 300 360 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 338 374 |
| Ariel duels won ⓘ Won aerial duel. | 105 202 |
| Ariel duels lost ⓘ Lost aerial duel. | 107 161 |
| 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. | 401 368 |
| 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 | 152 185 |
| 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. | 330 458 |
| 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. | 180 196 |
| Tackles | 638 734 |
| Clearances by foot | 188 256 |
| Ground duels total | 638 734 |
| Ground duels won % | 47.02 49.05 |
| Ground duels lost % | 52.98 50.95 |
| Ariel duels total | 212 363 |
| Ariel duels won % | 49.53 55.65 |
| Ariel duels lost % | 50.47 44.35 |
| Defensive stability ⓘ The ability to defend well | 190.4 350.6 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 543 368 |
| Succesful dribbles Per 90 | 6727 4776 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 218 205 |
| 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 | 528 426 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1482 1208 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 791 463 |
| 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 | 360 260 |
| 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 | 1374 1178 |
| 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 | 1029 657 |
| 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 | 271 191 |
| 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 | 723 444 |
| 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 | 528 343 |
| 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 | 744 585 |
| 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 | 499 391 |
| 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 | 593 578 |
| 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 | 307 229 |
| 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 | 1178 1019 |
| 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 | 824 531 |
| 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 | 195 150 |
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. | 33.52 21.31 |
| 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 | 33.52 21.31 |
| 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) | 1.07 1.15 |
| 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. | 3.1 3.79 |
| 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 | 3.9 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 0.7 1.01 |
| Open play Xg ⓘ Open play Xg value | 28.97 18.76 |
| Set piece Xg ⓘ Set piece Xg | 4.19 2.56 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.1 |
| Xg with foot ⓘ Xg with foot | 25.87 14.97 |
| 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. | 14.48 -0.31 |
| 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. | 1.9 -0.79 |
| 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. | 1.1 -0.34 |
| 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. | -0.3 -0.22 |
| 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. | 0.93 -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. | 2.99 1.08 |
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