Hamburger SV: Team & Player Stats
Last Matches
Next Match Prediction
Trending Hamburger SV Team Stats
Best Players by Stat Category
#1
Rayan Philippe
3
No.
Player
Value
#1
Rayan Philippe
3
#2
Jean-Luc Dompe
2
#3
Albert Sambi Lokonga
2
#4
Luka Vuskovic
1
#5
Nicolai Remberg
0
#6
Yussuf Poulsen
0
#7
Daniel Elfadli
0
#8
Daniel Heuer Fernandes
0
#9
Jonas Meffert
0
#10
Jordan Torunarigha
0
#11
Alexander Rossing-Lelesiit
0
#12
Emir Sahiti
0
#13
Ransford Konigsdorffer
0
#14
Nicolas Capaldo
0
#15
Warmed Omari
0
#16
William Mikelbrencis
0
#17
Miro Muheim
0
#18
Giorgi Gocholeishvili
0
#19
Otto Stange
0
#20
Fabio Balde
0
#21
Aboubaka Soumahoro
0
#22
Fabio Vieira
0
#23
Robert Glatzel
0
#24
Gui Ramos
0
#25
Immanuel Pherai
0
#1
Giorgi Gocholeishvili
2
No.
Player
Value
#1
Giorgi Gocholeishvili
2
#2
Nicolai Remberg
1
#3
Ransford Konigsdorffer
1
#4
Nicolas Capaldo
1
#5
Miro Muheim
1
#6
Fabio Vieira
1
#7
Yussuf Poulsen
0
#8
Daniel Elfadli
0
#9
Daniel Heuer Fernandes
0
#10
Jonas Meffert
0
#11
Jordan Torunarigha
0
#12
Alexander Rossing-Lelesiit
0
#13
Emir Sahiti
0
#14
Rayan Philippe
0
#15
Warmed Omari
0
#16
William Mikelbrencis
0
#17
Jean-Luc Dompe
0
#18
Otto Stange
0
#19
Fabio Balde
0
#20
Luka Vuskovic
0
#21
Aboubaka Soumahoro
0
#22
Robert Glatzel
0
#23
Albert Sambi Lokonga
0
#24
Gui Ramos
0
#25
Immanuel Pherai
0
#1
Rayan Philippe
16
#2
Ransford Konigsdorffer
11
#3
Jean-Luc Dompe
9
#4
Nicolai Remberg
5
No.
Player
Value
#1
Rayan Philippe
16
#2
Ransford Konigsdorffer
11
#3
Jean-Luc Dompe
9
#4
Nicolai Remberg
5
#5
Fabio Vieira
5
#6
William Mikelbrencis
4
#7
Albert Sambi Lokonga
4
#8
Miro Muheim
3
#9
Giorgi Gocholeishvili
3
#10
Luka Vuskovic
3
#11
Robert Glatzel
3
#12
Yussuf Poulsen
2
#13
Daniel Elfadli
2
#14
Nicolas Capaldo
2
#15
Gui Ramos
2
#16
Alexander Rossing-Lelesiit
1
#17
Fabio Balde
1
#18
Immanuel Pherai
1
#19
Daniel Heuer Fernandes
0
#20
Jonas Meffert
0
#21
Jordan Torunarigha
0
#22
Emir Sahiti
0
#23
Warmed Omari
0
#24
Otto Stange
0
#25
Aboubaka Soumahoro
0
#1
Miro Muheim
39
#2
Daniel Elfadli
27
#3
Giorgi Gocholeishvili
22
#4
Luka Vuskovic
22
No.
Player
Value
#1
Miro Muheim
39
#2
Daniel Elfadli
27
#3
Giorgi Gocholeishvili
22
#4
Luka Vuskovic
22
#5
Jean-Luc Dompe
21
#6
Nicolas Capaldo
18
#7
Rayan Philippe
17
#8
Warmed Omari
16
#9
Nicolai Remberg
15
#10
Fabio Vieira
14
#11
Daniel Heuer Fernandes
12
#12
William Mikelbrencis
12
#13
Albert Sambi Lokonga
8
#14
Alexander Rossing-Lelesiit
6
#15
Jordan Torunarigha
5
#16
Ransford Konigsdorffer
4
#17
Emir Sahiti
3
#18
Fabio Balde
2
#19
Aboubaka Soumahoro
2
#20
Gui Ramos
2
#21
Robert Glatzel
1
#22
Immanuel Pherai
1
#23
Yussuf Poulsen
0
#24
Jonas Meffert
0
#25
Otto Stange
0
Scores
Team`s Recent Form
Shooting Data & xG Analysis
All Hamburger SV`s shots on this match:
Strengths & Weaknesses
| Strengths & Weaknesses | Value |
|---|---|
| | 0 |
| | 0 |
| | 0 |
| | 0 |
| | 0 |
| | 0 |
Up To Date Stats
Advanced Stats & Analytics
| Metric | Value |
|---|---|
| Goals | 8 |
| Goals Per 90 | 0.89 |
| Shot at goal number ⓘ Number of shots. | 115 |
| Shots on Goal | 77 |
| Goals conceeded | 15 |
| Goals conceeded Per 90 | 1.67 |
| Matches won | 2 |
| Matches lost | 5 |
Compare Yourself
Compare Rayan Philippe
Other Teams
Other Team Head-to-Head Comparisons
Bundesliga
Hamburger SV’s Total Squad Salary
Performance vs. Salary
#1
Nicolai Remberg
0
#2
Yussuf Poulsen
0
#3
Daniel Elfadli
0
#4
Daniel Heuer Fernandes
0
No.
Player
Value
#1
Nicolai Remberg
0
#2
Yussuf Poulsen
0
#3
Daniel Elfadli
0
#4
Daniel Heuer Fernandes
0
#5
Jonas Meffert
0
#6
Jordan Torunarigha
0
#7
Alexander Rossing-Lelesiit
0
#8
Emir Sahiti
0
#9
Ransford Konigsdorffer
0
#10
Nicolas Capaldo
0
#11
Rayan Philippe
0
#12
Warmed Omari
0
#13
William Mikelbrencis
0
#14
Miro Muheim
0
#15
Jean-Luc Dompe
0
#16
Giorgi Gocholeishvili
0
#17
Otto Stange
0
#18
Fabio Balde
0
#19
Luka Vuskovic
0
#20
Aboubaka Soumahoro
0
#21
Fabio Vieira
0
#22
Robert Glatzel
0
#23
Albert Sambi Lokonga
0
#24
Gui Ramos
0
#25
Immanuel Pherai
0
#1
Fabio Vieira
4.05
#2
Yussuf Poulsen
1.36
#3
Nicolai Remberg
0
#4
Daniel Elfadli
0
No.
Player
Value
#1
Fabio Vieira
4
#2
Yussuf Poulsen
1
#3
Nicolai Remberg
0
#4
Daniel Elfadli
0
#5
Daniel Heuer Fernandes
0
#6
Jonas Meffert
0
#7
Jordan Torunarigha
0
#8
Alexander Rossing-Lelesiit
0
#9
Emir Sahiti
0
#10
Ransford Konigsdorffer
0
#11
Nicolas Capaldo
0
#12
Rayan Philippe
0
#13
Warmed Omari
0
#14
William Mikelbrencis
0
#15
Miro Muheim
0
#16
Jean-Luc Dompe
0
#17
Giorgi Gocholeishvili
0
#18
Otto Stange
0
#19
Fabio Balde
0
#20
Luka Vuskovic
0
#21
Aboubaka Soumahoro
0
#22
Robert Glatzel
0
#23
Albert Sambi Lokonga
0
#24
Gui Ramos
0
#25
Immanuel Pherai
0
#1
Fabio Vieira
9.58
#2
Yussuf Poulsen
0.61
#3
Nicolai Remberg
0
#4
Daniel Elfadli
0
No.
Player
Value
#1
Fabio Vieira
10
#2
Yussuf Poulsen
1
#3
Nicolai Remberg
0
#4
Daniel Elfadli
0
#5
Daniel Heuer Fernandes
0
#6
Jonas Meffert
0
#7
Jordan Torunarigha
0
#8
Alexander Rossing-Lelesiit
0
#9
Emir Sahiti
0
#10
Ransford Konigsdorffer
0
#11
Nicolas Capaldo
0
#12
Rayan Philippe
0
#13
Warmed Omari
0
#14
William Mikelbrencis
0
#15
Miro Muheim
0
#16
Jean-Luc Dompe
0
#17
Giorgi Gocholeishvili
0
#18
Otto Stange
0
#19
Fabio Balde
0
#20
Luka Vuskovic
0
#21
Aboubaka Soumahoro
0
#22
Robert Glatzel
0
#23
Albert Sambi Lokonga
0
#24
Gui Ramos
0
#25
Immanuel Pherai
0
#1
Fabio Vieira
0.28
#2
Yussuf Poulsen
0.04
#3
Nicolai Remberg
0
#4
Daniel Elfadli
0
No.
Player
Value
#1
Fabio Vieira
0
#2
Yussuf Poulsen
0
#3
Nicolai Remberg
0
#4
Daniel Elfadli
0
#5
Daniel Heuer Fernandes
0
#6
Jonas Meffert
0
#7
Jordan Torunarigha
0
#8
Alexander Rossing-Lelesiit
0
#9
Emir Sahiti
0
#10
Ransford Konigsdorffer
0
#11
Nicolas Capaldo
0
#12
Rayan Philippe
0
#13
Warmed Omari
0
#14
William Mikelbrencis
0
#15
Miro Muheim
0
#16
Jean-Luc Dompe
0
#17
Giorgi Gocholeishvili
0
#18
Otto Stange
0
#19
Fabio Balde
0
#20
Luka Vuskovic
0
#21
Aboubaka Soumahoro
0
#22
Robert Glatzel
0
#23
Albert Sambi Lokonga
0
#24
Gui Ramos
0
#25
Immanuel Pherai
0
Hamburger SV: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Hamburger SV is among the very best, setting the standard for the league.
#1
Hamburger SV
1.51
No.
Player
Value
#1
Hamburger SV
2
#2
FC St. Pauli
1
#3
Borussia Monchengladbach
1
#4
SC Freiburg
1
#5
FSV Mainz 05
1
#6
1.FC Heidenheim 1846
1
#7
Union Berlin
1
#8
VfL Wolfsburg
1
#9
VfB Stuttgart
1
#10
RB Leipzig
1
#11
Bayer 04 Leverkusen
1
#12
Koln
1
#13
Werder Bremen
1
#14
Borussia Dortmund
1
#15
Augsburg
1
#16
TSG 1899 Hoffenheim
1
#17
Bayern Munich
1
#18
Eintracht Frankfurt
1
#1
Hamburger SV
0.18
#2
Borussia Monchengladbach
0.14
#3
1.FC Heidenheim 1846
0.09
#4
Bayer 04 Leverkusen
0.09
No.
Player
Value
#1
Hamburger SV
0
#2
Borussia Monchengladbach
0
#3
1.FC Heidenheim 1846
0
#4
Bayer 04 Leverkusen
0
#5
FSV Mainz 05
0
#6
Koln
0
#7
SC Freiburg
0
#8
VfB Stuttgart
0
#9
Augsburg
0
#10
Bayern Munich
0
#11
RB Leipzig
0
#12
Borussia Dortmund
0
#13
VfL Wolfsburg
0
#14
FC St. Pauli
0
#15
Eintracht Frankfurt
0
#16
Werder Bremen
0
#17
Union Berlin
0
#18
TSG 1899 Hoffenheim
0
Very Good Stats
These are the areas where Hamburger SV consistently performs at a high level, placing him near the top of the league.
#2
Hamburger SV
53.22
#3
RB Leipzig
52.31
#4
SC Freiburg
52.03
#5
Eintracht Frankfurt
51.72
No.
Player
Value
#2
Hamburger SV
53
#3
RB Leipzig
52
#4
SC Freiburg
52
#5
Eintracht Frankfurt
52
#6
FSV Mainz 05
52
#7
VfL Wolfsburg
51
#8
TSG 1899 Hoffenheim
51
#9
VfB Stuttgart
51
#10
Augsburg
50
#11
Borussia Monchengladbach
49
#12
1.FC Heidenheim 1846
49
#13
Union Berlin
48
#14
Borussia Dortmund
48
#15
Koln
48
#16
FC St. Pauli
48
#17
Werder Bremen
46
#18
Bayern Munich
45
#2
Hamburger SV
53.22
#3
RB Leipzig
52.31
#4
SC Freiburg
52.03
#5
Eintracht Frankfurt
51.72
No.
Player
Value
#2
Hamburger SV
53
#3
RB Leipzig
52
#4
SC Freiburg
52
#5
Eintracht Frankfurt
52
#6
FSV Mainz 05
52
#7
VfL Wolfsburg
51
#8
TSG 1899 Hoffenheim
51
#9
VfB Stuttgart
51
#10
Augsburg
50
#11
Borussia Monchengladbach
49
#12
1.FC Heidenheim 1846
49
#13
Union Berlin
48
#14
Borussia Dortmund
48
#15
Koln
48
#16
FC St. Pauli
48
#17
Werder Bremen
46
#18
Bayern Munich
45
Average Stats
These stats show Hamburger SV`s solid, reliable contributions that are in line with the majority of players in his position.
#14
Hamburger SV
598
#15
FSV Mainz 05
561
#16
Koln
553
#17
1.FC Heidenheim 1846
522
Weak Stats
These are the areas where Hamburger SV`s performance falls below the league average.
Performance per season
Historical Standings
Expected Threat & Involvement Analysis
Key Preformance Indicators
| Metric | Value |
|---|---|
| Expected Threat | 1523.57 |
| Expected Threat Against Per 90 | 168.42 |
| 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. | 68 |
| 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. | 428 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.51 |
Ratings and Scores
Compare Hamburger SV`s Performance
Performance Trends
Select a trend category to explore metrics with significant changes, stable performance, or areas of concern.
Shooting Data & xG Analysis
Comprehensive Stats & Advanced Metrics
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, | 59.44 |
| 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 | 54.46 |
| 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 | 58.08 |
| Offensive interventions | 132.78 |
Goals & Assists
| Goals | 8 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 7 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 |
| Goals by head ⓘ Goals by head | 0 |
| Penalty goals ⓘ Penalty goals | 0 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 |
| Goals by foot | 8 |
| Shots on Goal | 77 |
| 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. | 5.23 |
Goals & Shots conceded
| Goals conceeded | 15 |
| Goals by head conceeded Per 90 | 1 |
| Goals by foot conceeded | 12 |
| Shots on goal conceeded | 87 |
| Goals per 90 min conceeded | 1.67 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 1391 |
| 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 | 1040 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 2504 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 63 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 130 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 8 |
| Total successful passes from own box ⓘ Pass that reaches the team-mate. Here specifically: A pass FROM the ‘own box’ to another area of the field. | 259 |
| 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. | 799 |
| 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. | 1708 |
| 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. | 449 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 29 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 687 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 525 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 856 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 483 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 693 |
| 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. | 428 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.09 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 64.36 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 86.09 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 47.06 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 35.39 |
| 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. | 61.37 |
| 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. | 77.57 |
| Succesful passes in % from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 85.14 |
| 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. | 70.38 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 39.73 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 76.66 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 78.41 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 78.68 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 81.27 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 75.08 |
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. | 2440 |
| 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 | 520 |
| 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. | 165 |
| 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" | 326 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 435 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 281 |
| Defensive touches in phase Set Pieces ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch. Hier nach einer Standard Aktion. | 244 |
| 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". | 240 |
| Total touches in phase Set Pieces | 409 |
| Total touches in phase Second ball | 566 |
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. | 68 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 245 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 36 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 115 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 175 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 21 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 9 |
| 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’ | 163 |
| 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 | 231 |
| 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 | 298 |
| 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’ | 189 |
| 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’ | 44 |
| Ball losses total | 925 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1195 |
| 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 | 94 |
| 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 | 339 |
| 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 | 394 |
| 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 | 150 |
| 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 | 38 |
Defensive
| Ground duels won ⓘ Won ground duel. | 281 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 247 |
| Ariel duels won ⓘ Won aerial duel. | 129 |
| Ariel duels lost ⓘ Lost aerial duel. | 111 |
| 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. | 262 |
| 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 | 149 |
| 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. | 267 |
| 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. | 143 |
| Tackles | 528 |
| Clearances by foot | 195 |
| Ground duels total | 528 |
| Ground duels won % | 53.22 |
| Ground duels lost % | 46.78 |
| Ariel duels total | 240 |
| Ariel duels won % | 53.75 |
| Ariel duels lost % | 46.25 |
| Defensive stability ⓘ The ability to defend well | 296.5 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 269 |
| Succesful dribbles Per 90 | 2781 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 157 |
| 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 | 345 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 573 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 216 |
| 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 | 238 |
| 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 | 598 |
| 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 | 315 |
| 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 | 113 |
| 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 | 304 |
| 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 | 193 |
| 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 | 307 |
| 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 | 168 |
| 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 | 340 |
| 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 | 201 |
| 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 | 476 |
| 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 | 236 |
| 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 | 90 |
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. | 12.11 |
| 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 | 12.11 |
| Xg long distance ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a long range shot (more than 22 Meters) | 0.57 |
| 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. | 1.98 |
| Xg with penalites ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a penalty | 0.78 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 1.51 |
| Open play Xg ⓘ Open play Xg value | 11.01 |
| Set piece Xg ⓘ Set piece Xg | 1.1 |
| Xg average per shot ⓘ Xg average per shot | 0.11 |
| Xg with foot ⓘ Xg with foot | 9.02 |
| 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. | -4.11 |
| 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. | -1.98 |
| Goals minus Xg penalty ⓘ Penalty goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.78 |
| 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. | -0.32 |
| 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. | -0.57 |
| Goals minus Xg short distance shot ⓘ Short distance goals (less than 10 meters)minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.79 |
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