Head to Head Matches
Next Encounter Prediction
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 19 18 |
| Goals Per 90 | 1.58 1.5 |
| Shot at goal number ⓘ Number of shots. | 165 164 |
| Shots on Goal | 107 110 |
| Goals conceeded | 17 21 |
| Goals conceeded Per 90 | 1.42 1.75 |
| Matches won | 4 4 |
| Matches lost | 2 6 |
Scores
Team Form
Shooting Data & xG Analysis
All Stade Rennais`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| REN | PAR | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Key Stats
| Metric | Value |
|---|---|
| Goals | 19 18 |
| Goals Per 90 | 1.58 1.5 |
| Shot at goal number ⓘ Number of shots. | 165 164 |
| Shots on Goal | 107 110 |
| Goals conceeded | 17 21 |
| Goals conceeded Per 90 | 1.42 1.75 |
| Matches won | 4 4 |
| Matches lost | 2 6 |
Compare Yourself
Compare Stade Rennais
Other Comparisons
Match Prediction
Last Matches
Stade Rennais’s and Paris FC’s Total Squad Salary
Salary Stats
#1
Ludovic Blas
1.15
#2
Breel Embolo
0.75
#3
Ibrahim Salah
0
#4
Jeremy Jacquet
0
No.
Player
Value
#1
Ludovic Blas
1
#2
Breel Embolo
1
#3
Ibrahim Salah
0
#4
Jeremy Jacquet
0
#5
Seko Fofana
0
#6
Brice Samba
0
#7
Mahamadou Nagida
0
#8
Valentin Rongier
0
#9
Abdelhamid Ait Boudlal
0
#10
Mohamed Kader Meite
0
#11
Fabian Rieder
0
#12
Mahdi Camara
0
#13
Przemyslaw Frankowski
0
#14
Christopher Wooh
0
#15
Mousa Tamari
0
#16
Anthony Rouault
0
#17
Quentin Merlin
0
#18
Djaoui Cisse
0
#19
Alidu Seidu
0
#20
Bertug Yildirim
0
#21
Lilian Brassier
0
#22
Mikayil Faye
0
#23
Esteban Lepaul
0
#24
Hans Hateboer
0
#25
Nordan Mukiele
0
#26
Glen Kamara
0
#27
Lucas Rosier
0
#1
Quentin Merlin
14.17
#2
Lilian Brassier
6.59
#3
Brice Samba
6.33
#4
Przemyslaw Frankowski
5.81
No.
Player
Value
#1
Quentin Merlin
14
#2
Lilian Brassier
7
#3
Brice Samba
6
#4
Przemyslaw Frankowski
6
#5
Ludovic Blas
6
#6
Valentin Rongier
5
#7
Fabian Rieder
5
#8
Ibrahim Salah
4
#9
Breel Embolo
3
#10
Hans Hateboer
3
#11
Glen Kamara
1
#12
Mikayil Faye
1
#13
Jeremy Jacquet
0
#14
Seko Fofana
0
#15
Mahamadou Nagida
0
#16
Abdelhamid Ait Boudlal
0
#17
Mohamed Kader Meite
0
#18
Mahdi Camara
0
#19
Christopher Wooh
0
#20
Mousa Tamari
0
#21
Anthony Rouault
0
#22
Djaoui Cisse
0
#23
Alidu Seidu
0
#24
Bertug Yildirim
0
#25
Esteban Lepaul
0
#26
Nordan Mukiele
0
#27
Lucas Rosier
0
#1
Quentin Merlin
93.33
#2
Przemyslaw Frankowski
36.77
#3
Lilian Brassier
20.33
#4
Ludovic Blas
20
No.
Player
Value
#1
Quentin Merlin
93
#2
Przemyslaw Frankowski
37
#3
Lilian Brassier
20
#4
Ludovic Blas
20
#5
Valentin Rongier
19
#6
Breel Embolo
3
#7
Brice Samba
3
#8
Hans Hateboer
3
#9
Fabian Rieder
2
#10
Ibrahim Salah
1
#11
Glen Kamara
1
#12
Jeremy Jacquet
0
#13
Seko Fofana
0
#14
Mahamadou Nagida
0
#15
Abdelhamid Ait Boudlal
0
#16
Mohamed Kader Meite
0
#17
Mahdi Camara
0
#18
Christopher Wooh
0
#19
Mousa Tamari
0
#20
Anthony Rouault
0
#21
Djaoui Cisse
0
#22
Alidu Seidu
0
#23
Bertug Yildirim
0
#24
Mikayil Faye
0
#25
Esteban Lepaul
0
#26
Nordan Mukiele
0
#27
Lucas Rosier
0
#1
Ludovic Blas
1.31
#2
Quentin Merlin
0.51
#3
Breel Embolo
0.44
#4
Valentin Rongier
0.17
No.
Player
Value
#1
Ludovic Blas
1
#2
Quentin Merlin
1
#3
Breel Embolo
0
#4
Valentin Rongier
0
#5
Ibrahim Salah
0
#6
Przemyslaw Frankowski
0
#7
Fabian Rieder
0
#8
Jeremy Jacquet
0
#9
Seko Fofana
0
#10
Brice Samba
0
#11
Mahamadou Nagida
0
#12
Abdelhamid Ait Boudlal
0
#13
Mohamed Kader Meite
0
#14
Mahdi Camara
0
#15
Christopher Wooh
0
#16
Mousa Tamari
0
#17
Anthony Rouault
0
#18
Djaoui Cisse
0
#19
Alidu Seidu
0
#20
Bertug Yildirim
0
#21
Lilian Brassier
0
#22
Mikayil Faye
0
#23
Esteban Lepaul
0
#24
Hans Hateboer
0
#25
Nordan Mukiele
0
#26
Glen Kamara
0
#27
Lucas Rosier
0
Salary Stats
#1
Moses Simon
1.25
#2
Pierre Lees-Melou
0.46
#3
Lohann Doucet
0
#4
Nhoa Sangui
0
No.
Player
Value
#1
Moses Simon
1
#2
Pierre Lees-Melou
0
#3
Lohann Doucet
0
#4
Nhoa Sangui
0
#5
Pierre-Yves Hamel
0
#6
Vincent Marchetti
0
#7
Maxime Lopez
0
#8
Mathieu Cafaro
0
#9
Nouha Dicko
0
#10
Julien Lopez
0
#11
Alimami Gory
0
#12
Samir Chergui
0
#13
Moustapha Mbow
0
#14
Timothee Kolodziejczak
0
#15
Jean-Philippe Krasso
0
#16
Obed Nkambadio
0
#17
Ilan Kebbal
0
#18
Adama Camara
0
#19
Willem Geubbels
0
#20
Otavio
0
#21
Kevin Trapp
0
#22
Thibault De Smet
0
#23
Hamari Traore
0
#24
Jonathan Ikone
0
#25
Tuomas Ollila
0
#1
Moses Simon
10
#2
Pierre Lees-Melou
8.26
#3
Hamari Traore
4.58
#4
Jonathan Ikone
3.67
No.
Player
Value
#1
Moses Simon
10
#2
Pierre Lees-Melou
8
#3
Hamari Traore
5
#4
Jonathan Ikone
4
#5
Kevin Trapp
1
#6
Lohann Doucet
0
#7
Nhoa Sangui
0
#8
Pierre-Yves Hamel
0
#9
Vincent Marchetti
0
#10
Maxime Lopez
0
#11
Mathieu Cafaro
0
#12
Nouha Dicko
0
#13
Julien Lopez
0
#14
Alimami Gory
0
#15
Samir Chergui
0
#16
Moustapha Mbow
0
#17
Timothee Kolodziejczak
0
#18
Jean-Philippe Krasso
0
#19
Obed Nkambadio
0
#20
Ilan Kebbal
0
#21
Adama Camara
0
#22
Willem Geubbels
0
#23
Otavio
0
#24
Thibault De Smet
0
#25
Tuomas Ollila
0
#1
Moses Simon
25
#2
Pierre Lees-Melou
21.56
#3
Hamari Traore
14.17
#4
Jonathan Ikone
0.92
No.
Player
Value
#1
Moses Simon
25
#2
Pierre Lees-Melou
22
#3
Hamari Traore
14
#4
Jonathan Ikone
1
#5
Lohann Doucet
0
#6
Nhoa Sangui
0
#7
Pierre-Yves Hamel
0
#8
Vincent Marchetti
0
#9
Maxime Lopez
0
#10
Mathieu Cafaro
0
#11
Nouha Dicko
0
#12
Julien Lopez
0
#13
Alimami Gory
0
#14
Samir Chergui
0
#15
Moustapha Mbow
0
#16
Timothee Kolodziejczak
0
#17
Jean-Philippe Krasso
0
#18
Obed Nkambadio
0
#19
Ilan Kebbal
0
#20
Adama Camara
0
#21
Willem Geubbels
0
#22
Otavio
0
#23
Kevin Trapp
0
#24
Thibault De Smet
0
#25
Tuomas Ollila
0
#1
Moses Simon
0.85
#2
Pierre Lees-Melou
0.42
#3
Hamari Traore
0.13
#4
Lohann Doucet
0
No.
Player
Value
#1
Moses Simon
1
#2
Pierre Lees-Melou
0
#3
Hamari Traore
0
#4
Lohann Doucet
0
#5
Nhoa Sangui
0
#6
Pierre-Yves Hamel
0
#7
Vincent Marchetti
0
#8
Maxime Lopez
0
#9
Mathieu Cafaro
0
#10
Nouha Dicko
0
#11
Julien Lopez
0
#12
Alimami Gory
0
#13
Samir Chergui
0
#14
Moustapha Mbow
0
#15
Timothee Kolodziejczak
0
#16
Jean-Philippe Krasso
0
#17
Obed Nkambadio
0
#18
Ilan Kebbal
0
#19
Adama Camara
0
#20
Willem Geubbels
0
#21
Otavio
0
#22
Kevin Trapp
0
#23
Thibault De Smet
0
#24
Jonathan Ikone
0
#25
Tuomas Ollila
0
Stade Rennais: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Stade Rennais is among the very best, setting the standard for the league.
#1
Stade Rennais
0.44
Very Good Stats
These are the areas where Stade Rennais consistently performs at a high level, placing him near the top of the league.
#2
Stade Rennais
588
#3
Paris Saint-Germain
577
#4
Paris FC
574
#5
Angers SCO
558
Average Stats
These stats show Stade Rennais`s solid, reliable contributions that are in line with the majority of players in his position.
#7
Stade Rennais
1572
Weak Stats
These are the areas where Stade Rennais`s performance falls below the league average.
#11
Stade Rennais
294
#12
Angers SCO
291
#13
Nice
277
#14
Auxerre
276
#11
Stade Rennais
79
Paris FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Paris FC consistently performs at a high level, placing him near the top of the league.
#2
Paris FC
2438
#2
Paris FC
447
#3
RC Strasbourg
439
#4
Angers SCO
439
#5
Lens
401
Average Stats
These stats show Paris FC`s solid, reliable contributions that are in line with the majority of players in his position.
#8
Paris FC
23
#9
Olympique de Marseille
22
#10
Toulouse
22
#11
Monaco
20
Weak Stats
These are the areas where Paris FC`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Ratings and Scores
Compare Stade Rennais & Paris FC`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, | 71.47 69.32 |
| 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 | 59.22 58.49 |
| 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 | 72.03 69.08 |
| Offensive interventions | 131 127.42 |
Goals & Assists
| Goals | 19 18 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 16 16 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 1 |
| Goals by head ⓘ Goals by head | 3 2 |
| Penalty goals ⓘ Penalty goals | 2 2 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 0 |
| Goals by foot | 15 16 |
| Shots on Goal | 107 110 |
| 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. | 8.97 9.17 |
Goals & Shots conceded
| Goals conceeded | 17 21 |
| Goals by head conceeded Per 90 | 3 3 |
| Goals by foot conceeded | 11 16 |
| Shots on goal conceeded | 103 85 |
| Goals per 90 min conceeded | 1.42 1.75 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2300 2438 |
| 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 | 1789 1918 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 4311 4950 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 79 111 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 96 104 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 203 202 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 27 23 |
| 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. | 429 518 |
| 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. | 1152 1483 |
| 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. | 2763 3072 |
| 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. | 1003 1012 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 46 66 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1261 1338 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 830 1031 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1291 1494 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 779 986 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1232 1302 |
| 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. | 721 730 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.65 92.75 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.83 74.5 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 88.26 96.19 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 50.94 54.76 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 41.03 42.62 |
| 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. | 65.5 77.31 |
| 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. | 79.07 85.13 |
| 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. | 87.6 87.6 |
| 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. | 77.99 78.21 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 50.55 54.1 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 80.47 82.93 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 83.85 84.42 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 79.59 83.23 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 83.08 86.35 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 80.73 83.21 |
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. | 4010 4660 |
| 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 | 978 1070 |
| 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. | 266 275 |
| 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" | 393 412 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 555 568 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 466 372 |
| 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. | 289 281 |
| 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". | 267 317 |
| Total touches in phase Set Pieces | 555 556 |
| Total touches in phase Second ball | 660 729 |
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. | 121 114 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 393 387 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 41 38 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 138 140 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 217 185 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 27 8 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 26 19 |
| Ball losses in own box ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the area ‘own penalty area’ | 226 152 |
| 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 | 305 259 |
| 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 | 391 435 |
| 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’ | 283 282 |
| 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’ | 45 56 |
| Ball losses total | 1250 1184 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1572 1529 |
| 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 | 153 123 |
| 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 | 415 383 |
| 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 | 535 551 |
| 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 | 215 206 |
| 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 | 36 52 |
Defensive
| Ground duels won ⓘ Won ground duel. | 387 346 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 384 349 |
| Ariel duels won ⓘ Won aerial duel. | 132 120 |
| Ariel duels lost ⓘ Lost aerial duel. | 96 162 |
| 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. | 374 363 |
| 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 | 215 208 |
| 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. | 336 313 |
| 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. | 204 175 |
| Tackles | 771 695 |
| Clearances by foot | 233 251 |
| Ground duels total | 771 695 |
| Ground duels won % | 50.19 49.78 |
| Ground duels lost % | 49.81 50.22 |
| Ariel duels total | 228 282 |
| Ariel duels won % | 57.89 42.55 |
| Ariel duels lost % | 42.11 57.45 |
| Defensive stability ⓘ The ability to defend well | 305.9 207.6 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 419 428 |
| Succesful dribbles Per 90 | 4076 4464 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 232 244 |
| 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 | 557 656 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1002 1022 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 397 401 |
| 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 | 368 447 |
| 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 | 1066 1123 |
| 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 | 582 565 |
| 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 | 139 165 |
| 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 | 558 596 |
| 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 | 325 369 |
| 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 | 449 470 |
| 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 | 294 348 |
| 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 | 588 574 |
| 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 | 301 361 |
| 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 | 880 949 |
| 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 | 453 442 |
| 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 | 112 125 |
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. | 21.51 18.41 |
| 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 | 21.51 18.41 |
| 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) | 1.19 0.92 |
| 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. | 2.34 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 | 1.08 0.92 |
| Open play Xg ⓘ Open play Xg value | 19.8 16.74 |
| Set piece Xg ⓘ Set piece Xg | 1.71 1.67 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.11 |
| Xg with foot ⓘ Xg with foot | 17.46 14.48 |
| 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. | -1.51 1.59 |
| 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. | 0.66 -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 0.44 |
| 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. | -0.16 -0.11 |
| 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. | -1.19 0.08 |
| 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. | 0.08 1.96 |
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