Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 17 13 |
| Goals Per 90 | 1.7 1.3 |
| Shot at goal number ⓘ Number of shots. | 133 118 |
| Shots on Goal | 88 84 |
| Goals conceeded | 15 19 |
| Goals conceeded Per 90 | 1.5 1.9 |
| Matches won | 4 2 |
| Matches lost | 4 5 |
Scores
Team Form
Shooting Data & xG Analysis
All Koln`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| KOL | MOE | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 17 13 |
| Goals Per 90 | 1.7 1.3 |
| Shot at goal number ⓘ Number of shots. | 133 118 |
| Shots on Goal | 88 84 |
| Goals conceeded | 15 19 |
| Goals conceeded Per 90 | 1.5 1.9 |
| Matches won | 4 2 |
| Matches lost | 4 5 |
Compare Yourself
Compare Koln
Other Comparisons
Match Prediction
Koln’s and Borussia Monchengladbach’s Total Squad Salary
Salary Stats
#1
Jakub Kaminski
3.48
#2
Jan Thielmann
1.67
#3
Marius Bulter
0.95
#4
Florian Kainz
0.71
No.
Player
Value
#1
Jakub Kaminski
3
#2
Jan Thielmann
2
#3
Marius Bulter
1
#4
Florian Kainz
1
#5
Luca Waldschmidt
1
#6
Timo Hubers
0
#7
Marvin Schwabe
0
#8
Said El Mala
0
#9
Ragnar Ache
0
#10
Tom Krauss
0
#11
Kristoffer Lund
0
#12
Isak Johannesson
0
#13
Eric Martel
0
#14
Joel Schmied
0
#15
Sebastian Sebulonsen
0
#16
Cenk Ozkacar
0
#17
Denis Huseinbasic
0
#18
Jusuf Gazibegovic
0
#19
Rav van den Berg
0
#20
Alessio Castro-Montes
0
#21
Linton Maina
0
#22
Dominique Heintz
0
#1
Jakub Kaminski
13.04
#2
Marvin Schwabe
12.5
#3
Timo Hubers
9.73
#4
Florian Kainz
9.29
No.
Player
Value
#1
Jakub Kaminski
13
#2
Marvin Schwabe
13
#3
Timo Hubers
10
#4
Florian Kainz
9
#5
Jan Thielmann
8
#6
Marius Bulter
6
#7
Tom Krauss
6
#8
Luca Waldschmidt
4
#9
Dominique Heintz
3
#10
Said El Mala
0
#11
Ragnar Ache
0
#12
Kristoffer Lund
0
#13
Isak Johannesson
0
#14
Eric Martel
0
#15
Joel Schmied
0
#16
Sebastian Sebulonsen
0
#17
Cenk Ozkacar
0
#18
Denis Huseinbasic
0
#19
Jusuf Gazibegovic
0
#20
Rav van den Berg
0
#21
Alessio Castro-Montes
0
#22
Linton Maina
0
#1
Jakub Kaminski
40.87
#2
Florian Kainz
20
#3
Tom Krauss
14.36
#4
Marius Bulter
14.29
No.
Player
Value
#1
Jakub Kaminski
41
#2
Florian Kainz
20
#3
Tom Krauss
14
#4
Marius Bulter
14
#5
Marvin Schwabe
13
#6
Timo Hubers
12
#7
Jan Thielmann
9
#8
Dominique Heintz
5
#9
Luca Waldschmidt
3
#10
Said El Mala
0
#11
Ragnar Ache
0
#12
Kristoffer Lund
0
#13
Isak Johannesson
0
#14
Eric Martel
0
#15
Joel Schmied
0
#16
Sebastian Sebulonsen
0
#17
Cenk Ozkacar
0
#18
Denis Huseinbasic
0
#19
Jusuf Gazibegovic
0
#20
Rav van den Berg
0
#21
Alessio Castro-Montes
0
#22
Linton Maina
0
#1
Jakub Kaminski
2.08
#2
Jan Thielmann
1.01
#3
Marius Bulter
0.89
#4
Luca Waldschmidt
0.52
No.
Player
Value
#1
Jakub Kaminski
2
#2
Jan Thielmann
1
#3
Marius Bulter
1
#4
Luca Waldschmidt
1
#5
Florian Kainz
0
#6
Tom Krauss
0
#7
Timo Hubers
0
#8
Marvin Schwabe
0
#9
Said El Mala
0
#10
Ragnar Ache
0
#11
Kristoffer Lund
0
#12
Isak Johannesson
0
#13
Eric Martel
0
#14
Joel Schmied
0
#15
Sebastian Sebulonsen
0
#16
Cenk Ozkacar
0
#17
Denis Huseinbasic
0
#18
Jusuf Gazibegovic
0
#19
Rav van den Berg
0
#20
Alessio Castro-Montes
0
#21
Linton Maina
0
#22
Dominique Heintz
0
Salary Stats
#1
Haris Tabakovic
5.26
#2
Florian Neuhaus
0
#3
Lukas Ullrich
0
#4
Fabio Chiarodia
0
No.
Player
Value
#1
Haris Tabakovic
5
#2
Florian Neuhaus
0
#3
Lukas Ullrich
0
#4
Fabio Chiarodia
0
#5
Moritz Nicolas
0
#6
Kevin Stoger
0
#7
Kevin Diks
0
#8
Franck Honorat
0
#9
Rocco Reitz
0
#10
Robin Hack
0
#11
Philipp Sander
0
#12
Joe Scally
0
#13
Luca Netz
0
#14
Nico Elvedi
0
#15
Shuto Machino
0
#16
Jens Castrop
0
#17
Grant-Leon Ranos
0
#18
Giovanni Reyna
0
#19
Yannik Engelhardt
0
#20
Charles Herrmann
0
#21
Jan Urbich
0
#22
Oscar Fraulo
0
#23
Marvin Friedrich
0
#1
Moritz Nicolas
18.27
#2
Haris Tabakovic
15.79
#3
Kevin Stoger
12.68
#4
Joe Scally
12.5
No.
Player
Value
#1
Moritz Nicolas
18
#2
Haris Tabakovic
16
#3
Kevin Stoger
13
#4
Joe Scally
13
#5
Franck Honorat
10
#6
Luca Netz
6
#7
Nico Elvedi
5
#8
Robin Hack
5
#9
Giovanni Reyna
5
#10
Florian Neuhaus
3
#11
Marvin Friedrich
2
#12
Lukas Ullrich
0
#13
Fabio Chiarodia
0
#14
Kevin Diks
0
#15
Rocco Reitz
0
#16
Philipp Sander
0
#17
Shuto Machino
0
#18
Jens Castrop
0
#19
Grant-Leon Ranos
0
#20
Yannik Engelhardt
0
#21
Charles Herrmann
0
#22
Jan Urbich
0
#23
Oscar Fraulo
0
#1
Franck Honorat
44.8
#2
Joe Scally
32.5
#3
Robin Hack
26.92
#4
Kevin Stoger
25.35
No.
Player
Value
#1
Franck Honorat
45
#2
Joe Scally
33
#3
Robin Hack
27
#4
Kevin Stoger
25
#5
Moritz Nicolas
10
#6
Nico Elvedi
8
#7
Haris Tabakovic
6
#8
Luca Netz
5
#9
Florian Neuhaus
5
#10
Giovanni Reyna
4
#11
Marvin Friedrich
2
#12
Lukas Ullrich
0
#13
Fabio Chiarodia
0
#14
Kevin Diks
0
#15
Rocco Reitz
0
#16
Philipp Sander
0
#17
Shuto Machino
0
#18
Jens Castrop
0
#19
Grant-Leon Ranos
0
#20
Yannik Engelhardt
0
#21
Charles Herrmann
0
#22
Jan Urbich
0
#23
Oscar Fraulo
0
#1
Haris Tabakovic
4.93
No.
Player
Value
#1
Haris Tabakovic
5
#2
Kevin Stoger
1
#3
Robin Hack
1
#4
Joe Scally
1
#5
Franck Honorat
0
#6
Florian Neuhaus
0
#7
Giovanni Reyna
0
#8
Nico Elvedi
0
#9
Lukas Ullrich
0
#10
Fabio Chiarodia
0
#11
Moritz Nicolas
0
#12
Kevin Diks
0
#13
Rocco Reitz
0
#14
Philipp Sander
0
#15
Luca Netz
0
#16
Shuto Machino
0
#17
Jens Castrop
0
#18
Grant-Leon Ranos
0
#19
Yannik Engelhardt
0
#20
Charles Herrmann
0
#21
Jan Urbich
0
#22
Oscar Fraulo
0
#23
Marvin Friedrich
0
Koln: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Koln`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Koln`s performance falls below the league average.
#15
Koln
648
#16
FSV Mainz 05
629
#17
1.FC Heidenheim 1846
578
#18
Union Berlin
516
No.
Player
Value
#15
Koln
648
#16
FSV Mainz 05
629
#17
1.FC Heidenheim 1846
578
#18
Union Berlin
516
Borussia Monchengladbach: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Borussia Monchengladbach is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Borussia Monchengladbach consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Borussia Monchengladbach`s solid, reliable contributions that are in line with the majority of players in his position.
#11
Borussia Monchengladbach
355
#12
RB Leipzig
354
#13
VfL Wolfsburg
345
#14
Hamburger SV
339
#11
Borussia Monchengladbach
80
#12
Koln
79
#13
1.FC Heidenheim 1846
77
#14
Hamburger SV
75
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Koln & Borussia Monchengladbach`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, | 66.99 60.61 |
| 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 | 55.64 52.1 |
| 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 | 70.57 67.04 |
| Offensive interventions | 135.4 133.9 |
Goals & Assists
| Goals | 17 13 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 16 10 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 0 |
| Goals by head ⓘ Goals by head | 2 4 |
| Penalty goals ⓘ Penalty goals | 1 1 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 1 0 |
| Goals by foot | 13 8 |
| Shots on Goal | 88 84 |
| 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. | 9.55 8.55 |
Goals & Shots conceded
| Goals conceeded | 15 19 |
| Goals by head conceeded Per 90 | 2 3 |
| Goals by foot conceeded | 8 14 |
| Shots on goal conceeded | 102 106 |
| Goals per 90 min conceeded | 1.5 1.9 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 1498 1659 |
| 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 | 1194 1321 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 2684 2862 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 49 41 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 79 80 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 128 117 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 15 19 |
| 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. | 287 356 |
| 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. | 736 793 |
| 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. | 1807 1988 |
| 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. | 609 569 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 51 43 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 586 782 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 512 611 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 958 1027 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 674 643 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 760 686 |
| 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. | 471 480 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.67 90.63 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 54.44 58.57 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 77.58 87.97 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 50 54.29 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 42.02 42.11 |
| 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. | 55.95 63.69 |
| 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. | 73.09 76.99 |
| 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. | 84.8 85.25 |
| 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. | 74 72.3 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 54.26 51.81 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 72.8 73.84 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.9 83.07 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 76.15 77.98 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.5 80.5 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 73.34 77.27 |
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. | 2449 2714 |
| 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 | 612 697 |
| 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. | 182 158 |
| 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" | 452 395 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 426 502 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 308 349 |
| 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. | 306 280 |
| 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". | 318 223 |
| Total touches in phase Set Pieces | 488 438 |
| Total touches in phase Second ball | 770 618 |
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. | 60 86 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 244 296 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 41 29 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 109 110 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 267 214 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 37 16 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 15 16 |
| 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’ | 226 203 |
| 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 | 271 237 |
| 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 | 324 344 |
| 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’ | 214 218 |
| 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’ | 43 40 |
| Ball losses total | 1078 1042 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1354 1339 |
| 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 | 123 124 |
| 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 | 405 419 |
| 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 | 430 426 |
| 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 | 161 151 |
| 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 | 33 28 |
Defensive
| Ground duels won ⓘ Won ground duel. | 250 278 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 279 276 |
| Ariel duels won ⓘ Won aerial duel. | 169 126 |
| Ariel duels lost ⓘ Lost aerial duel. | 151 104 |
| 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. | 284 313 |
| 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 | 138 149 |
| 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. | 370 329 |
| 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. | 155 173 |
| Tackles | 529 554 |
| Clearances by foot | 203 207 |
| Ground duels total | 529 554 |
| Ground duels won % | 47.26 50.18 |
| Ground duels lost % | 52.74 49.82 |
| Ariel duels total | 320 230 |
| Ariel duels won % | 52.81 54.78 |
| Ariel duels lost % | 47.19 45.22 |
| Defensive stability ⓘ The ability to defend well | 265.6 261.8 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 228 266 |
| Succesful dribbles Per 90 | 2826 2984 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 209 184 |
| 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 | 345 399 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 596 751 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 249 236 |
| 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 | 261 241 |
| 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 | 648 820 |
| 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 | 337 355 |
| 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 | 134 125 |
| 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 | 255 395 |
| 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 | 204 237 |
| 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 | 354 358 |
| 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 | 255 262 |
| 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 | 359 340 |
| 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 | 229 205 |
| 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 | 550 679 |
| 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 | 274 286 |
| 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 | 101 110 |
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. | 16.05 16.94 |
| 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 | 16.05 16.94 |
| 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) | 0.76 0.53 |
| 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. | 2.14 3.57 |
| 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 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 0.94 1.3 |
| Open play Xg ⓘ Open play Xg value | 14.72 14.42 |
| Set piece Xg ⓘ Set piece Xg | 1.33 2.52 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.14 |
| Xg with foot ⓘ Xg with foot | 12.58 10.85 |
| Goals total minus Xg total ⓘ Goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.95 -3.94 |
| 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. | -0.14 0.43 |
| Goals minus Xg penalty ⓘ Penalty goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.22 -1.34 |
| Goals minus Xg free-kick ⓘ Free kick goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 0.44 -0.18 |
| 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. | -0.76 -0.53 |
| 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. | 0.54 0.01 |
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