Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 28 28 |
| Goals Per 90 | 2.15 2.15 |
| Shot at goal number ⓘ Number of shots. | 160 212 |
| Shots on Goal | 111 146 |
| Goals conceeded | 29 13 |
| Goals conceeded Per 90 | 2.23 1 |
| Matches won | 6 9 |
| Matches lost | 4 2 |
Scores
Team Form
Shooting Data & xG Analysis
All Eintracht Frankfurt`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| EIN | LEI | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 28 28 |
| Goals Per 90 | 2.15 2.15 |
| Shot at goal number ⓘ Number of shots. | 160 212 |
| Shots on Goal | 111 146 |
| Goals conceeded | 29 13 |
| Goals conceeded Per 90 | 2.23 1 |
| Matches won | 6 9 |
| Matches lost | 4 2 |
Compare Yourself
Compare Eintracht Frankfurt
Other Comparisons
Match Prediction
League Stats
Eintracht Frankfurt’s and RB Leipzig’s Total Squad Salary
Salary Stats
#1
Nathaniel Brown
0
No.
Player
Value
#1
Nathaniel Brown
0
#2
Can Uzun
0
#3
Hugo Larsson
0
#4
Nnamdi Collins
0
#5
Fares Chaibi
0
#6
Oscar Hojlund
0
#7
Michael Zetterer
0
#8
Jean-Matteo Bahoya
0
#9
Ritsu Doan
0
#10
Mario Gotze
0
#11
Elye Wahi
0
#12
Ansgar Knauff
0
#13
Michy Batshuayi
0
#14
Aurelio Buta
0
#15
Kaua Santos
0
#16
Aurele Amenda
0
#17
Ellyes Skhiri
0
#18
Jessic Ngankam
0
#19
Arthur Theate
0
#20
Mahmoud Dahoud
0
#21
Rasmus Kristensen
0
#22
Robin Koch
1
#23
Jonathan Burkardt
4
#1
Nathaniel Brown
0
#2
Can Uzun
0
#3
Nnamdi Collins
0
#4
Fares Chaibi
0
No.
Player
Value
#1
Nathaniel Brown
0
#2
Can Uzun
0
#3
Nnamdi Collins
0
#4
Fares Chaibi
0
#5
Oscar Hojlund
0
#6
Michael Zetterer
0
#7
Jean-Matteo Bahoya
0
#8
Ritsu Doan
0
#9
Ansgar Knauff
0
#10
Michy Batshuayi
0
#11
Aurelio Buta
0
#12
Kaua Santos
0
#13
Aurele Amenda
0
#14
Jessic Ngankam
0
#15
Mahmoud Dahoud
4
#16
Elye Wahi
4
#17
Ellyes Skhiri
5
#18
Rasmus Kristensen
6
#19
Mario Gotze
6
#20
Arthur Theate
8
#21
Hugo Larsson
10
#22
Jonathan Burkardt
11
#23
Robin Koch
12
#1
Nathaniel Brown
0
#2
Can Uzun
0
#3
Nnamdi Collins
0
#4
Fares Chaibi
0
No.
Player
Value
#1
Nathaniel Brown
0
#2
Can Uzun
0
#3
Nnamdi Collins
0
#4
Fares Chaibi
0
#5
Oscar Hojlund
0
#6
Michael Zetterer
0
#7
Jean-Matteo Bahoya
0
#8
Ritsu Doan
0
#9
Ansgar Knauff
0
#10
Michy Batshuayi
0
#11
Aurelio Buta
0
#12
Kaua Santos
0
#13
Aurele Amenda
0
#14
Jessic Ngankam
0
#15
Elye Wahi
3
#16
Mahmoud Dahoud
4
#17
Mario Gotze
8
#18
Jonathan Burkardt
8
#19
Ellyes Skhiri
9
#20
Robin Koch
17
#21
Hugo Larsson
21
#22
Rasmus Kristensen
30
#23
Arthur Theate
33
#1
Jonathan Burkardt
2.95
No.
Player
Value
#1
Jonathan Burkardt
3
#2
Robin Koch
0
#3
Elye Wahi
0
#4
Mahmoud Dahoud
0
#5
Arthur Theate
0
#6
Mario Gotze
0
#7
Rasmus Kristensen
0
#8
Hugo Larsson
0
#9
Ellyes Skhiri
0
#10
Nathaniel Brown
0
#11
Can Uzun
0
#12
Nnamdi Collins
0
#13
Fares Chaibi
0
#14
Oscar Hojlund
0
#15
Michael Zetterer
0
#16
Jean-Matteo Bahoya
0
#17
Ritsu Doan
0
#18
Ansgar Knauff
0
#19
Michy Batshuayi
0
#20
Aurelio Buta
0
#21
Kaua Santos
0
#22
Aurele Amenda
0
#23
Jessic Ngankam
0
Salary Stats
#1
Romulo
0
No.
Player
Value
#1
Romulo
0
#2
Ezechiel Banzuzi
0
#3
Willi Orban
0
#4
Peter Gulacsi
0
#5
Yan Diomande
0
#6
Lois Openda
0
#7
Nicolas Seiwald
0
#8
Ridle Baku
0
#9
Xavi Simons
0
#10
Johan Bakayoko
0
#11
Kosta Nedeljkovic
0
#12
Kevin Kampl
0
#13
Conrad Harder
0
#14
Andrija Maksimovic
0
#15
Timo Werner
0
#16
Lukas Klostermann
0
#17
El Chadaille Bitshiabu
0
#18
Tidiam Gomis
0
#19
Max Finkgrafe
0
#20
Samba Konate
0
#21
Castello Lukeba
0
#22
Xaver Schlager
0
#23
David Raum
0
#24
Antonio Nusa
1
#25
Christoph Baumgartner
2
#26
Assan Ouedraogo
2
#1
Romulo
0
#2
Ezechiel Banzuzi
0
#3
Yan Diomande
0
#4
Johan Bakayoko
0
No.
Player
Value
#1
Romulo
0
#2
Ezechiel Banzuzi
0
#3
Yan Diomande
0
#4
Johan Bakayoko
0
#5
Conrad Harder
0
#6
Andrija Maksimovic
0
#7
Timo Werner
0
#8
Tidiam Gomis
0
#9
Max Finkgrafe
0
#10
Samba Konate
0
#11
Kevin Kampl
0
#12
Lukas Klostermann
1
#13
Kosta Nedeljkovic
1
#14
Xavi Simons
1
#15
Lois Openda
1
#16
El Chadaille Bitshiabu
2
#17
David Raum
2
#18
Willi Orban
2
#19
Castello Lukeba
2
#20
Xaver Schlager
2
#21
Peter Gulacsi
2
#22
Christoph Baumgartner
5
#23
Nicolas Seiwald
6
#24
Ridle Baku
7
#25
Antonio Nusa
8
#26
Assan Ouedraogo
11
#1
Romulo
0
#2
Ezechiel Banzuzi
0
#3
Yan Diomande
0
#4
Johan Bakayoko
0
No.
Player
Value
#1
Romulo
0
#2
Ezechiel Banzuzi
0
#3
Yan Diomande
0
#4
Johan Bakayoko
0
#5
Kevin Kampl
0
#6
Conrad Harder
0
#7
Andrija Maksimovic
0
#8
Tidiam Gomis
0
#9
Max Finkgrafe
0
#10
Samba Konate
0
#11
Timo Werner
0
#12
Lukas Klostermann
0
#13
Lois Openda
0
#14
Xavi Simons
0
#15
Peter Gulacsi
1
#16
El Chadaille Bitshiabu
1
#17
Kosta Nedeljkovic
4
#18
Willi Orban
5
#19
Xaver Schlager
8
#20
Castello Lukeba
9
#21
Nicolas Seiwald
15
#22
Christoph Baumgartner
18
#23
David Raum
18
#24
Assan Ouedraogo
26
#25
Antonio Nusa
44
#26
Ridle Baku
53
#1
Christoph Baumgartner
1.68
#2
Assan Ouedraogo
1.59
#3
Antonio Nusa
1.12
#4
Ridle Baku
0.59
No.
Player
Value
#1
Christoph Baumgartner
2
#2
Assan Ouedraogo
2
#3
Antonio Nusa
1
#4
Ridle Baku
1
#5
David Raum
0
#6
Nicolas Seiwald
0
#7
Castello Lukeba
0
#8
Xaver Schlager
0
#9
Willi Orban
0
#10
El Chadaille Bitshiabu
0
#11
Lois Openda
0
#12
Romulo
0
#13
Ezechiel Banzuzi
0
#14
Peter Gulacsi
0
#15
Yan Diomande
0
#16
Xavi Simons
0
#17
Johan Bakayoko
0
#18
Kosta Nedeljkovic
0
#19
Kevin Kampl
0
#20
Conrad Harder
0
#21
Andrija Maksimovic
0
#22
Timo Werner
0
#23
Lukas Klostermann
0
#24
Tidiam Gomis
0
#25
Max Finkgrafe
0
#26
Samba Konate
0
Eintracht Frankfurt: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Eintracht Frankfurt is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Eintracht Frankfurt consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Eintracht Frankfurt`s solid, reliable contributions that are in line with the majority of players in his position.
#8
Eintracht Frankfurt
361
#9
Bayern Munich
360
#10
Koln
332
#11
Borussia Monchengladbach
331
RB Leipzig: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where RB Leipzig is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where RB Leipzig consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show RB Leipzig`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where RB Leipzig`s performance falls below the league average.
#11
RB Leipzig
466
#12
VfL Wolfsburg
456
#13
1.FC Heidenheim 1846
448
#14
Augsburg
448
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Eintracht Frankfurt & RB Leipzig`s Performance
Performance Trends
Select a trend category to explore metrics with significant changes, stable performance, or areas of concern.
Shooting Data & xG Analysis
Advanced Stats & Analytics
Scores
| 1vs1 Index ⓘ To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, | 63.46 77.88 |
| 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 | 52.97 67.66 |
| 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 | 72.3 77.63 |
| Offensive interventions | 138.23 138.46 |
Goals & Assists
| Goals | 28 28 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 23 24 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 3 1 |
| Goals by head ⓘ Goals by head | 5 2 |
| Penalty goals ⓘ Penalty goals | 2 1 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 1 |
| Goals by foot | 21 23 |
| Shots on Goal | 111 146 |
| 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. | 13.4 9.71 |
Goals & Shots conceded
| Goals conceeded | 29 13 |
| Goals by head conceeded Per 90 | 6 1 |
| Goals by foot conceeded | 18 12 |
| Shots on goal conceeded | 98 108 |
| Goals per 90 min conceeded | 2.23 1 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2483 2433 |
| 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 | 1994 1820 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 4709 4283 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 82 63 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 105 124 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 210 163 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 21 38 |
| 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. | 482 520 |
| 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. | 1242 1279 |
| 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. | 3058 2662 |
| 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. | 1014 835 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 54 85 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1392 1084 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1020 806 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1485 1430 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 967 1008 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 986 1053 |
| 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. | 841 738 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.98 90.26 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.08 62.38 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 87.5 84.9 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 43.75 65.52 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 40.86 45.09 |
| 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. | 73.03 72.52 |
| Succesful passes in % from 1st third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the area ‘1st third of the field’ to another area of the field. | 78.76 79.39 |
| 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. | 85.85 85.27 |
| 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. | 73.64 75.63 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 42.86 55.19 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 77.45 75.43 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 82.86 80 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 82.5 81.76 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 80.44 82.24 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 77.59 81.93 |
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. | 4403 3922 |
| 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 | 960 1046 |
| 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. | 293 255 |
| 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" | 530 514 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 583 616 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 537 505 |
| 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. | 303 322 |
| 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". | 389 375 |
| Total touches in phase Set Pieces | 596 577 |
| Total touches in phase Second ball | 919 889 |
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. | 130 110 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 467 462 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 44 38 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 152 151 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 266 223 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 30 29 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 27 20 |
| 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’ | 178 197 |
| 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 | 335 332 |
| 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 | 504 460 |
| 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’ | 363 269 |
| 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’ | 72 69 |
| Ball losses total | 1452 1327 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1797 1800 |
| 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 | 111 157 |
| 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 | 403 502 |
| 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 | 689 617 |
| 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 | 273 208 |
| 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 | 43 52 |
Defensive
| Ground duels won ⓘ Won ground duel. | 411 468 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 393 423 |
| Ariel duels won ⓘ Won aerial duel. | 147 148 |
| Ariel duels lost ⓘ Lost aerial duel. | 178 156 |
| 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. | 383 410 |
| 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 | 189 201 |
| 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. | 401 364 |
| 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. | 219 264 |
| Tackles | 804 891 |
| Clearances by foot | 286 299 |
| Ground duels total | 804 891 |
| Ground duels won % | 51.12 52.53 |
| Ground duels lost % | 48.88 47.47 |
| Ariel duels total | 325 304 |
| Ariel duels won % | 45.23 48.68 |
| Ariel duels lost % | 54.77 51.32 |
| Defensive stability ⓘ The ability to defend well | 294.9 414.6 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 368 503 |
| Succesful dribbles Per 90 | 4872 4567 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 228 224 |
| 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 | 518 668 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1126 1001 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 458 396 |
| 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 | 361 445 |
| 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 | 1120 1094 |
| 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 | 656 523 |
| 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 | 185 215 |
| 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 | 672 535 |
| 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 | 375 321 |
| 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 | 513 466 |
| 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 | 388 408 |
| 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 | 423 602 |
| 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 | 316 352 |
| 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 | 975 909 |
| 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 | 516 373 |
| 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 | 152 149 |
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. | 18.36 26.12 |
| 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 | 18.36 26.12 |
| 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 0.89 |
| 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. | 2.75 2.27 |
| 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 | 1.56 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 0.66 0.97 |
| Open play Xg ⓘ Open play Xg value | 16.5 23.58 |
| Set piece Xg ⓘ Set piece Xg | 1.86 2.21 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.12 |
| Xg with foot ⓘ Xg with foot | 13.74 21.3 |
| 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. | 9.64 0.88 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 2.25 -0.27 |
| 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. | 0.44 -0.56 |
| Goals minus Xg free-kick ⓘ Free kick goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.3 0.35 |
| Goals minus Xg long distance shot ⓘ Long distance goals (more than 22 meters) minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 1.95 0.11 |
| 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. | 1.46 0.72 |
Comments (0)