Country 
Germany
Germany League 
Bundesliga
Bundesliga Country 
England
England League 
Premier League
Premier League Change team
Overview
Analyse Standings
Rankings
Salary
History
Overview
Analyse Standings
Rankings
Salary
History
Up To Date Stats
Bayer 04 Leverkusen generates an expected goals total of 23.73 compared to Wolverhampton Wanderers's 14.94 - quantifying the quality of their attacking chances Wolverhampton Wanderers has made 2084 ball recoveries versus Bayer 04 Leverkusen's 1595 - showcasing their pressing intensity Bayer 04 Leverkusen has suffered 127 critical possession losses while Wolverhampton Wanderers has 108 - highlighting risk management Key Stats
| Metric | Value |
|---|---|
| Goals  | 28 8 |
| Goals Per 90 | 2.15 0.53 |
| Shot at goal number ⓘ Number of shots. | 178 130 |
| Shots on Goal | 122 82 |
| Goals conceeded | 18 31 |
| Goals conceeded Per 90 | 1.38 2.07 |
| Matches won | 7 0 |
| Matches lost | 4 13 |
View All 5 more
Scores
1vs1 Index
Ranks #26 in Bundesliga Bundesliga 
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,
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, Offensive Power
Ranks #11 in Bundesliga Bundesliga 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
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 Defensive Power
Ranks #46 in Bundesliga Bundesliga The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values.
The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat
Ranks #13 in Bundesliga Bundesliga Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal.
Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. 1vs1 Index
Ranks #96 in Premier League Premier League 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,
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, Offensive Power
Ranks #95 in Premier League Premier League 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
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 Defensive Power
Ranks #96 in Premier League Premier League The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values.
The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat
Ranks #73 in Premier League Premier League Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal.
Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. Team Form
Switch team
Bayer 04 Leverkusen
Wolverhampton Wanderers
Shooting Data & xG Analysis
Choose a player
Bayer 04 Leverkusen
Wolverhampton Wanderers
__.__.____ (Round _)
All Bayer 04 Leverkusen`s shots on this match:
Type of event -
Minute -
xG for this event -
Play the whole passing chain
-
This team has no shots this season.
Strengths & Weaknesses
Chart profile
Full Profile
Offense
Defense
See data in numbers
Data in numbers
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| BAY | WOL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Bayer 04 Leverkusen completes 92 diagonal passes compared to Wolverhampton Wanderers's 90 - revealing their ambition in switching play across the field Wolverhampton Wanderers loses possession through 73 failed diagonal attempts versus Bayer 04 Leverkusen's 37 - highlighting their risk management with ambitious distribution Bayer 04 Leverkusen records 776 offensive actions from central areas compared to Wolverhampton Wanderers's 528 - showcasing their tactical preferences through the middle Key Stats
| Metric | Value |
|---|---|
| Goals | 28 8 |
| Goals Per 90 | 2.15 0.53 |
| Shot at goal number ⓘ Number of shots. | 178 130 |
| Shots on Goal | 122 82 |
| Goals conceeded | 18 31 |
| Goals conceeded Per 90 | 1.38 2.07 |
| Matches won | 7 0 |
| Matches lost | 4 13 |
View All 5 more
Compare Yourself
Compare
You
Patrik Schick 
Bayer 04 Leverkusen
Bayer 04 Leverkusen Compare Bayer 04 Leverkusen
Compare
Bayer 04 Leverkusen
Choose Team
Search for a team Other Comparisons
Bayern Munich
Bayer 04 Leverkusen
Bayer 04 Leverkusen
Liverpool FC
Bayer 04 Leverkusen
Barcelona
Choose a team
Bayer 04 Leverkusen
Wolverhampton Wanderers
#
Team
9
10
14
15
16
18
PTS
MP
W
D
L
G
GD
Form
37
13
12
1
0
49:9
40
W
W
W
D
W
29
14
9
2
3
29:16
13
L
W
D
W
L
28
13
8
4
1
23:11
12
W
W
D
D
W
26
14
8
2
4
30:19
11
W
L
L
W
W
26
14
8
2
4
29:20
9
W
L
W
D
W
24
14
7
3
4
29:29
0
W
L
D
W
W
22
13
7
1
5
21:22
-1
L
L
D
W
L
18
14
5
3
6
19:23
-4
W
L
L
W
D
16
14
4
4
6
22:23
-1
L
D
D
L
L
16
13
4
4
5
20:22
-2
L
W
L
W
D
16
14
4
4
6
18:22
-4
L
W
D
W
W
16
13
4
4
5
18:24
-6
L
D
L
W
D
15
14
4
3
7
20:24
-4
W
W
D
L
L
15
14
4
3
7
15:24
-9
L
W
W
L
D
13
14
4
1
9
17:28
-11
L
W
L
W
L
11
14
3
2
9
13:26
-13
W
D
L
L
L
11
14
3
2
9
13:30
-17
L
W
W
L
L
6
13
1
3
9
11:24
-13
L
L
D
L
D
#
Team
4
13
15
16
19
PTS
MP
W
D
L
G
GD
Form
36
16
11
3
2
30:10
20
W
L
W
D
W
31
15
10
1
4
35:16
19
W
W
W
L
W
30
15
9
3
3
22:15
7
W
W
W
W
W
28
16
8
4
4
27:15
12
W
D
L
D
W
26
15
7
5
3
20:12
8
W
W
L
W
D
26
16
8
2
6
26:24
2
W
D
D
W
L
25
15
7
4
4
26:22
4
W
D
W
L
D
24
16
7
3
6
18:19
-1
L
W
W
L
W
23
16
6
5
5
25:23
2
L
D
L
W
W
23
15
6
5
4
18:17
1
L
D
W
L
D
22
15
6
4
5
25:18
7
W
D
L
L
D
22
15
6
4
5
21:19
2
W
D
W
W
L
20
16
6
2
8
23:26
-3
W
L
L
W
W
20
15
5
5
5
21:24
-3
D
L
L
D
L
19
15
6
1
8
21:24
-3
L
L
W
L
W
15
15
4
3
8
19:29
-10
D
W
L
L
L
15
15
4
3
8
14:25
-11
L
W
L
W
W
13
15
3
4
8
17:29
-12
D
D
L
D
W
10
16
3
1
12
18:33
-15
L
L
L
L
L
2
16
0
2
14
9:35
-26
L
L
L
L
L
Bayer 04 Leverkusen’s and Wolverhampton Wanderers’s Total Squad Salary
Filters
Weekly Salary
Annual Salary
Bayer 04 Leverkusen
Wolverhampton Wanderers
Choose a team
Bayer 04 Leverkusen
Wolverhampton Wanderers
Salary Stats
Goals per million salary
#1
Mark Flekken
0
Goals per million salary
No.
Player
Value
#1
Mark Flekken
0
#2
Ibrahim Maza
0
#3
Arthur
0
#4
Claudio Echeverri
0
#5
Robert Andrich
0
#6
Christian Kofane
0
#7
Piero Hincapie
0
#8
Nathan Tella
0
#9
Aleix Garcia
0
#10
Ernest Poku
0
#11
Exequiel Palacios
0
#12
Axel Tape
0
#13
Malik Tillman
0
#14
Loic Bade
0
#15
Lucas Vazquez
0
#16
Ezequiel Fernandez
0
#17
Eliesse Ben Seghir
0
#18
Jeanuel Belocian
0
#19
Alejo Sarco
0
#20
Martin Terrier
0
#21
Jonas Hofmann
1
#22
Jarell Quansah
1
#23
Edmond Tapsoba
1
#24
Alejandro Grimaldo
1
#25
Patrik Schick
1
Goals against per million salary
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
See Full Goals against per million salary Ranking
Goals against per million salary
No.
Player
Value
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
#5
Ernest Poku
0
#6
Axel Tape
0
#7
Malik Tillman
0
#8
Ezequiel Fernandez
0
#9
Eliesse Ben Seghir
0
#10
Jeanuel Belocian
0
#11
Alejo Sarco
0
#12
Lucas Vazquez
0
#13
Exequiel Palacios
1
#14
Piero Hincapie
1
#15
Alejandro Grimaldo
2
#16
Patrik Schick
3
#17
Martin Terrier
3
#18
Jonas Hofmann
3
#19
Edmond Tapsoba
4
#20
Aleix Garcia
4
#21
Loic Bade
4
#22
Robert Andrich
5
#23
Nathan Tella
6
#24
Jarell Quansah
8
#25
Mark Flekken
10
Initiate dangerous attacks per million salary
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
See Full Initiate dangerous attacks per million salary Ranking
Initiate dangerous attacks per million salary
No.
Player
Value
#1
Ibrahim Maza
0
#2
Arthur
0
#3
Claudio Echeverri
0
#4
Christian Kofane
0
#5
Ernest Poku
0
#6
Axel Tape
0
#7
Malik Tillman
0
#8
Ezequiel Fernandez
0
#9
Eliesse Ben Seghir
0
#10
Jeanuel Belocian
0
#11
Alejo Sarco
0
#12
Exequiel Palacios
1
#13
Patrik Schick
1
#14
Lucas Vazquez
2
#15
Martin Terrier
3
#16
Piero Hincapie
5
#17
Nathan Tella
5
#18
Mark Flekken
7
#19
Jonas Hofmann
8
#20
Loic Bade
10
#21
Edmond Tapsoba
12
#22
Alejandro Grimaldo
18
#23
Robert Andrich
21
#24
Aleix Garcia
28
#25
Jarell Quansah
28
Xg per million salary
#1
Patrik Schick
0.85
#2
Nathan Tella
0.52
#3
Alejandro Grimaldo
0.44
#4
Jarell Quansah
0.3
See Full Xg per million salary Ranking
Xg per million salary
No.
Player
Value
#1
Patrik Schick
1
#2
Nathan Tella
1
#3
Alejandro Grimaldo
0
#4
Jarell Quansah
0
#5
Jonas Hofmann
0
#6
Martin Terrier
0
#7
Edmond Tapsoba
0
#8
Piero Hincapie
0
#9
Aleix Garcia
0
#10
Loic Bade
0
#11
Robert Andrich
0
#12
Lucas Vazquez
0
#13
Mark Flekken
0
#14
Ibrahim Maza
0
#15
Arthur
0
#16
Claudio Echeverri
0
#17
Christian Kofane
0
#18
Ernest Poku
0
#19
Exequiel Palacios
0
#20
Axel Tape
0
#21
Malik Tillman
0
#22
Ezequiel Fernandez
0
#23
Eliesse Ben Seghir
0
#24
Jeanuel Belocian
0
#25
Alejo Sarco
0
Salary Stats
Goals per million salary
#1
Fer Lopez
0
#2
Ki-Jana Hoever
0
#3
Jorgen Strand Larsen
0
#4
Jhon Arias
0
See Full Goals per million salary Ranking
Goals per million salary
No.
Player
Value
#1
Fer Lopez
0
#2
Ki-Jana Hoever
0
#3
Jorgen Strand Larsen
0
#4
Jhon Arias
0
#5
Marshall Munetsi
0
#6
Jose Sa
0
#7
Hugo Bueno
0
#8
Andre
0
#9
Joao Gomes
0
#10
Emmanuel Agbadou
0
#11
Matt Doherty
0
#12
Toti
0
#13
David Moller Wolfe
0
#14
Jackson Tchatchoua
0
#15
Sasa Kalajdzic
0
#16
Sam Johnstone
0
#17
Tolu Arokodare
0
#18
Yerson Mosquera
0
#19
Mateus Mane
0
#20
Tawanda Chirewa
0
#21
Hee-chan Hwang
0
#22
Jean-Ricner Bellegarde
0
#23
Santiago Bueno
1
#24
Rodrigo Gomes
1
#25
Ladislav Krejci
1
Goals against per million salary
#1
Fer Lopez
0
#2
Jorgen Strand Larsen
0
#3
Jhon Arias
0
#4
Marshall Munetsi
0
See Full Goals against per million salary Ranking
Goals against per million salary
No.
Player
Value
#1
Fer Lopez
0
#2
Jorgen Strand Larsen
0
#3
Jhon Arias
0
#4
Marshall Munetsi
0
#5
Hugo Bueno
0
#6
Emmanuel Agbadou
0
#7
David Moller Wolfe
0
#8
Jackson Tchatchoua
0
#9
Tolu Arokodare
0
#10
Yerson Mosquera
0
#11
Mateus Mane
0
#12
Tawanda Chirewa
0
#13
Sasa Kalajdzic
1
#14
Matt Doherty
2
#15
Jose Sa
4
#16
Hee-chan Hwang
5
#17
Ki-Jana Hoever
6
#18
Santiago Bueno
8
#19
Sam Johnstone
8
#20
Rodrigo Gomes
10
#21
Jean-Ricner Bellegarde
14
#22
Andre
14
#23
Joao Gomes
15
#24
Toti
17
#25
Ladislav Krejci
17
Initiate dangerous attacks per million salary
#1
Fer Lopez
0
#2
Jorgen Strand Larsen
0
#3
Jhon Arias
0
#4
Marshall Munetsi
0
See Full Initiate dangerous attacks per million salary Ranking
Initiate dangerous attacks per million salary
No.
Player
Value
#1
Fer Lopez
0
#2
Jorgen Strand Larsen
0
#3
Jhon Arias
0
#4
Marshall Munetsi
0
#5
Hugo Bueno
0
#6
Emmanuel Agbadou
0
#7
David Moller Wolfe
0
#8
Jackson Tchatchoua
0
#9
Tolu Arokodare
0
#10
Yerson Mosquera
0
#11
Mateus Mane
0
#12
Tawanda Chirewa
0
#13
Sasa Kalajdzic
0
#14
Jose Sa
2
#15
Hee-chan Hwang
4
#16
Matt Doherty
5
#17
Sam Johnstone
8
#18
Santiago Bueno
11
#19
Rodrigo Gomes
12
#20
Ki-Jana Hoever
12
#21
Jean-Ricner Bellegarde
15
#22
Toti
19
#23
Andre
24
#24
Joao Gomes
32
#25
Ladislav Krejci
36
Xg per million salary
#1
Ladislav Krejci
1.12
#2
Rodrigo Gomes
0.59
#3
Santiago Bueno
0.34
#4
Joao Gomes
0.31
See Full Xg per million salary Ranking
Xg per million salary
No.
Player
Value
#1
Ladislav Krejci
1
#2
Rodrigo Gomes
1
#3
Santiago Bueno
0
#4
Joao Gomes
0
#5
Jean-Ricner Bellegarde
0
#6
Hee-chan Hwang
0
#7
Andre
0
#8
Matt Doherty
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
#25
Tawanda Chirewa
0
Choose a player
Bayer 04 Leverkusen
Wolverhampton Wanderers
Bayer 04 Leverkusen: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Bayer 04 Leverkusen is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Bayer 04 Leverkusen consistently performs at a high level, placing him near the top of the league.
Number of offensive actions from the centre
#2
Bayer 04 Leverkusen
776
#3
Chelsea
772
#4
Paris Saint-Germain
769
#5
Barcelona
758
See Full Number of offensive actions from the centre Ranking
Number of offensive actions from the centre
Average Stats
These stats show Bayer 04 Leverkusen`s solid, reliable contributions that are in line with the majority of players in his position.
Number of offensive actions from the right wing
#28
Bayer 04 Leverkusen
598
#29
Liverpool FC
595
#30
West Ham United
595
#31
Atalanta
588
See Full Number of offensive actions from the right wing Ranking
Number of offensive actions from the right wing
Weak Stats
These are the areas where Bayer 04 Leverkusen`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.
Weak Stats
These are the areas where Wolverhampton Wanderers`s performance falls below the league average.
Shot at goal number
#91
Wolverhampton Wanderers
130
Shot at goal number
Performance per season
Switch team
Bayer 04 Leverkusen
Wolverhampton Wanderers
Filters
Points
Games Won
Games Drew
Games Won
Goals Scored
Goals Conceded
Expected Threat & Involvement Analysis
Bayer 04 Leverkusen has an Expected Threat of 4190.98 - measuring their ability to advance the ball into dangerous positions, while Wolverhampton Wanderers generates 2708.08 Expected Threat - showing which team better progresses play toward scoring opportunities Bayer 04 Leverkusen has an Expected Threat against of 224.7 - indicating how much dangerous ball progression they allow opponents, while Wolverhampton Wanderers concedes 375.4 Expected Threat against - revealing which defense better restricts opponent advances into threatening areas Bayer 04 Leverkusen recorded 127 Critical ball losses meaning they've given the ball away in trouble spots, while Wolverhampton Wanderers suffered 108 such losses - highlighting which team is more vulnerable in possession under pressure Ratings and Scores
Expected Threat
Ranks #11 in Bundesliga Bundesliga
Expected Threat Against
Ranks #81 in Bundesliga Bundesliga
Initiate dangerous attacks
Ranks #28 in Bundesliga Bundesliga
1vs1 Index
Ranks #26 in Bundesliga Bundesliga
Expected Threat
Ranks #56 in Premier League Premier League
Expected Threat Against
Ranks #10 in Premier League Premier League
Initiate dangerous attacks
Ranks #69 in Premier League Premier League
1vs1 Index
Ranks #96 in Premier League Premier League
Compare Bayer 04 Leverkusen & Wolverhampton Wanderers`s Performance
Pick a stat
Select Stats
Shots on Goal
Filter by opponent strength
Benchmark
Very Good
Average
Weak
Filter by league
Bundesliga
Europe
Range of data
Whole season
First 5 Games
Last 5 Games
Select Stats
1vs1 Index
Opponent strength
Benchmark
Filter by league
Bundesliga
Range of data
Whole season
-
Benchmark Very Good Average Weak
Bundesliga Europe
Whole season First 5 Games Last 5 Games
Show all stats
Popular
Scores 
1VI
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, 
1ID
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. 1IO
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 OFI
Offensive interventions ATT
Attacking Threat Goals & Assists
GOA
Goals ⓘ Goal ASS
Assists ⓘ Creating goals, playing the final pass. SAG
Shot at goal number ⓘ Number of shots. SAG
Shot at goal off target number ⓘ Number of shots Off Target. GBL
Goals by long distance shot ⓘ Goal after a shot from more than 22 metres GBA
Goals by action mid range shot ⓘ Goal from a shot / header between 10-22 metres GBA
Goals by action close range shot ⓘ Goal from a shot / header from less than 10 metres GBA
Goals by action one vs one against gk ⓘ Goals after a one versus one situation against the goalkeeper. GBA
Goals by action open goal shot GBH
Goals by head ⓘ Goals by head PEG
Penalty goals ⓘ Penalty goals GBF
Goals by freekick ⓘ Goals by freekick GBA
Goals by action corner ⓘ Goals by corner GBF
Goals by foot SOG
Shots on Goal SOG
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. PRE
Pre-assists ⓘ The pass before the assist FAG
Fastest goal LAG
Latest goal MOG
Most goals MGI
Most goals inside 6 yard box MHT
Most hat tricks OLS
Oldest scorer YOS
Youngest scorer MGO
Most goals over 30 years MGU
Most goals under 20 years SWB
Striker with best conversion FDG
Furthest distance goal SWW
Striker with worst conversion MSW
Most shots without goal MMP
Most missed penalites MBC
Most big chances missed MPP
Most pre-assists per 90 min MAP
Most assists per game ASP
Average scorer points per game MSP
Most scorer points total MGI
Most goals inside 6 yard box MCG
Most conceded goals LSO
Least shots on goal LEG
Least goals CHC
Chances created ⓘ An action (pass, cross, dribble) that results in a shot on goal in the subsequent action BIC
Big chances ⓘ A goal action (shot, header, free kick) that has an Xg value greater than 25%. GOA
Goals Goals & Shots conceded
GOC
Goals conceeded GBH
Goals by head conceeded GBF
Goals by foot conceeded GBF
Goals by freekick conceeded GBL
Goals by long distance shot conceeded PGC
Penalty goals conceeded SOG
Shots on goal conceeded SOG
Shots on goal / goal ratio conceeded GP9
Goals per 90 min conceeded Passing and Ball progression
EBU
Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) SOS
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 SUP
Successful passes ⓘ Pass that reaches the teammate. UNP
Unsuccessful passes ⓘ Pass that goes to the opponent or out of play. TSP
Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. TSP
Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. TSP
Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. SPB
Successful passes by action header ⓘ Pass that reaches the teammate. In this case a header. TSP
Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. TSP
Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. TSP
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. TSP
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. TSP
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. TSP
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. TSP
Total successful passes from opponents box ⓘ Pass that reaches the teammate. SPT
Successful passes to pitch position first third ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘1st third’ area to another area of the field. SPT
Successful passes to pitch position middle third ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘middle third’ area to another area of the field. SPT
Successful passes to pitch position final third ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘final third’ area to another area of the field. SPT
Successful passes to pitch position opponent box ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘opponent box’ area to another area of the field. TSP
Total successful passes from right wing ⓘ Pass that reaches the teammate. TSP
Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space TSP
Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. TSP
Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space TSP
Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. UPT
Unsuccessful passes to pitch position first third ⓘ Pass that goes to the opponent. Here the pass is intercepted by the opponent in the ‘first third’ area. UPT
Unsuccessful passes to pitch position middle third ⓘ Pass that goes to the opponent. Here, the pass is intercepted by the opponent in the ‘middle third’ area. UPT
Unsuccessful passes to pitch position final third ⓘ Pass that goes to the opponent. Here, the pass is intercepted by the opponent in the ‘last third’ area. UPT
Unsuccessful passes to pitch position opponent box ⓘ Pass that goes to the opponent. Here, the pass is intercepted by the opponent in the ‘opponent's box’. UPF
Unsuccessful passes from lane right wing ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘right wing’ area UPF
Unsuccessful passes from lane right half space ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘right half-space’ area UPF
Unsuccessful passes from lane center ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘centre’ area UPF
Unsuccessful passes from lane left half space ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘left half-space’ area UPF
Unsuccessful passes from lane left wing ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘left wing’ area IDA
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. SPI
Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. SPI
Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. SPI
Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. SPI
Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. SPI
Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. SPI
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. SPI
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. SPI
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. SPI
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. SPI
Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. SPI
Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space SPI
Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. SPI
Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. SPI
Succesful passes in % from right half space ⓘ Pass that reaches the teammate. SPI
Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space PA%
Passing accuracy % EXT
Expected Threat ETA
Expected Threat Against Ball contacts & phases of play
OFT
Offensive touches ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch DET
Defensive touches ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch OTI
Offensive touches in pitch position opponent box ⓘ 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. OTI
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. OTI
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". OTI
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. OTI
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" DTB
Defensive touches by action loose ball regain ⓘ 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. in this case a regain of a lost ball. DTI
Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). DTI
Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). DTI
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. DTI
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". TTI
Total touches in phase Set Pieces TTI
Total touches in phase Second ball MIP
Most Involved Player Ball losses
BLB
Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass BLB
Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. BLB
Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. BLB
Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. BLB
Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. BLB
Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners BLI
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’ BLI
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 BLI
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 BLI
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’ BLI
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’ BLT
Ball losses total BL%
Ball losses % per game BL%
Ball losses % per game Ball regains
BRT
Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. BRI
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 BRF
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 BWN
Ball win number from pitch position middle third ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here middle third of pitch BWN
Ball win number from pitch position final third ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here frist third of pitch BRS
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 BRI
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 BRI
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 Defensive
CBL
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. GDW
Ground duels won ⓘ Won ground duel. GDL
Ground duels lost ⓘ Lost ground duel. ADW
Ariel duels won ⓘ Won aerial duel. ADL
Ariel duels lost ⓘ Lost aerial duel. INT
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. GRD
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. HED
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. BLO
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. TAC
Tackles TW%
Tackles won % TL%
Tackles lost % CBH
Clearances by head CBF
Clearances by foot GDT
Ground duels total GDW
Ground duels won % GDL
Ground duels lost % ADT
Ariel duels total ADW
Ariel duels won % ADL
Ariel duels lost % DWM
Defender with most fouls per game DWL
Defender with least fouls per game MOF
Most fouls DES
Defensive stability ⓘ The ability to defend well FOU
Fouled Dribbles
PRD
Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team DRT
Dribbles total SUD
Succesful dribbles Elimination actions & Pitch
NOO
Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. NOO
Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. NOO
Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third NOO
Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 xG
XGT
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. XLD
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) SXB
Shot xg by action mid range shot ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a middle range shot (betwenn 10-22 meters) SXB
Shot xg by action close range shot ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a close range shot (less than 10 meters) SXB
Shot xg by action one vs one against gk ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a one versus one against goalkeeper situation SXB
Shot xg by action open goal shot ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a long distance shot. XWH
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. XWP
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 SXB
Shot xg by action free kick ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a free kick. SXB
Shot xg by action corner ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a corner. XGR
Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. OPX
Open play Xg ⓘ Open play Xg value SPX
Set piece Xg ⓘ Set piece Xg XAP
Xg average per shot ⓘ Xg average per shot XAP
Xg average per game ⓘ Xg average per game XWF
Xg with foot ⓘ Xg with foot GTM
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. GMX
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. GMX
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. GMX
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. GMX
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. GMX
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. MDG
Most difficult goal (xg) XTC
Xg total conceeded OPX
Open play xg conceeded SPX
Set piece xg conceeded Salary Stats
PPM
Points per million salary WMP
Won matches per million salary GPM
Goals per million salary GPM
Goals per million salary off ⓘ The sum of all goals scored by offensive players divided by their salary. GPM
Goals per million salary def ⓘ The sum of all goals scored by defensive players divided by their salary. GAP
Goals against per million salary ⓘ Goals conceded divided by salary IDA
Initiate dangerous attacks per million salary ⓘ Number of dangerous attacks divided by salary XPM
Xg per million salary APM
Assists per million salary SPP
Scorer points per million salary ASP
Avg salary per league PFA
Percentage from avg salary ⓘ Difference in per cent in relation to the average salary. Goalkeeper Stats
TAW
Tackles won PRG
Prevented goals ⓘ Post-shot xG: This is a statistical measure that estimates the likelihood of a shot being converted into a goal, based on factors like shot distance, angle, and the specific location of the shot on target. PLT
Passes leading to goal IDA
Initiating dangerous attacks EGA
Expected goals against DEI
Defensive index CLS
Clean sheets PG(
Prevented goals (absolute) PG(
Prevented goals (%) SST
Shots saved total SLP
Successful launches per game LDS
Long distance shots saved ⓘ Shot saved from more than 22 metres SDS
Short distance shots saved ⓘ Shot / header held from less than 10 metres PES
Penalities saved FRS
Freekicks saved HES
Headers saved MDS
Mid distance shots saved ⓘ Shot / header held between 10-22 metres UNP
Unsuccessfull passes SOG
Shots on goal / Goal ratio conceeded per 90 min Team Stats
MAP
Most away points MAW
Most away wins MHW
Most home wins LWS
Longest winning streak LLS
Longest loosing streak LNG
Longest no goal streak by team MLG
Most lost games YOT
Youngest team OLT
Oldest team PU2
Player under 20yrs max index total MAW
Matches won MAL
Matches lost MAT
Matches tied DRM
Draw matches GWT
Games won total Performance Trends
Select a trend category to explore metrics with significant changes, stable performance, or areas of concern.
Trend selection Rising Stable Declining
Choose a team
Bayer 04 Leverkusen
Wolverhampton Wanderers
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
0
0%
Shooting Data & xG Analysis
Choose a player
Bayer 04 Leverkusen
Wolverhampton Wanderers
Choose an event
Goals
Shot at goal number
Xg total
Assists
Successful passes
Progessive dribbles
Critical ball losses
Block
__.__.____ (Round _)
Type of event -
Minute -
xG for this event -
Player -
Play the whole passing chain
-
%name% has no %event% for this match.
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, | 74.26 50 |
| 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 | 62.64 50 |
| 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 | 76.54 50.76 |
| Offensive interventions | 122.69 138.93 |
Goals & Assists
| Goals | 28 8 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 25 7 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 0 |
| Goals by head ⓘ Goals by head | 4 1 |
| Penalty goals ⓘ Penalty goals | 3 1 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 2 0 |
| Goals by foot | 19 5 |
| Shots on Goal | 122 82 |
| 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. | 11.97 3.93 |
Goals & Shots conceded
| Goals conceeded | 18 31 |
| Goals by head conceeded Per 90 | 6 6 |
| Goals by foot conceeded | 10 23 |
| Shots on goal conceeded | 101 156 |
| Goals per 90 min conceeded | 1.38 2.07 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2899 2257 |
| 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 | 2309 1732 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6331 3814 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 92 90 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 91 132 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 177 229 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 27 10 |
| 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. | 519 401 |
| 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. | 1373 1016 |
| 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. | 4078 2658 |
| 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. | 1327 858 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 63 60 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1341 938 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1220 793 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2117 1272 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1249 835 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1433 1155 |
| 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. | 843 668 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 93.35 91.07 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 71.32 55.21 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.77 86.74 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 60 31.25 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 44.83 43.85 |
| 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. | 72.69 58.45 |
| 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. | 84.44 73.46 |
| 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. | 90.52 84.22 |
| 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. | 82.47 71.32 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 51.22 46.15 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 84 75.79 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 87.16 80.68 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 87.92 75.4 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 86.22 77.14 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 83.03 73.05 |
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. | 6003 3418 |
| 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 | 994 1083 |
| 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. | 230 287 |
| 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" | 411 611 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 595 661 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 423 513 |
| 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. | 251 488 |
| 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". | 340 447 |
| Total touches in phase Set Pieces | 481 775 |
| Total touches in phase Second ball | 751 1058 |
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. | 127 108 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 451 374 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 37 73 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 112 169 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 216 365 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 18 35 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 18 22 |
| 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’ | 195 285 |
| 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 | 253 367 |
| 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 | 427 498 |
| 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’ | 282 345 |
| 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’ | 60 70 |
| Ball losses total | 1217 1565 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1595 2084 |
| 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 | 123 180 |
| 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 | 435 603 |
| 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 | 562 692 |
| 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 | 219 284 |
| 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 | 47 40 |
Defensive
| Ground duels won ⓘ Won ground duel. | 338 479 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 280 467 |
| Ariel duels won ⓘ Won aerial duel. | 144 201 |
| Ariel duels lost ⓘ Lost aerial duel. | 125 209 |
| 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. | 378 407 |
| 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 | 175 275 |
| 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. | 353 457 |
| 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. | 182 308 |
| Tackles | 618 946 |
| Clearances by foot | 224 332 |
| Ground duels total | 618 946 |
| Ground duels won % | 54.69 50.63 |
| Ground duels lost % | 45.31 49.37 |
| Ariel duels total | 269 410 |
| Ariel duels won % | 53.53 49.02 |
| Ariel duels lost % | 46.47 50.98 |
| Defensive stability ⓘ The ability to defend well | 313.8 449.3 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 490 378 |
| Succesful dribbles Per 90 | 5822 4098 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 315 280 |
| 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 | 618 529 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1384 960 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 452 327 |
| 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 | 470 327 |
| 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 | 1393 1034 |
| 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 | 681 488 |
| 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 | 162 180 |
| 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 | 598 444 |
| 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 | 423 316 |
| 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 | 776 528 |
| 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 | 463 329 |
| 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 | 546 508 |
| 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 | 391 254 |
| 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 | 1181 849 |
| 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 | 539 394 |
| 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 | 127 160 |
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. | 23.73 14.94 |
| 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 | 23.73 14.94 |
| 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) | 1.05 0.69 |
| 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. | 2.69 2.53 |
| 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 | 2.34 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 | 0.85 2.13 |
| Open play Xg ⓘ Open play Xg value | 20.6 13.59 |
| Set piece Xg ⓘ Set piece Xg | 3.13 1.36 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.11 |
| Xg with foot ⓘ Xg with foot | 17.91 11.05 |
| 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. | 4.27 -7.94 |
| 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. | 1.31 -1.53 |
| 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. | 0.66 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. | 1.2 -0.58 |
| 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. | -0.05 -0.69 |
| 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. | 1.48 -0.14 |
Comments (0)