Lorient vs Nottingham Forrest: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Lorient or Nottingham Forrest? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
France 
Ligue 1 
England 
Premier League 
Analyse Analyse Lorient vs. Nottingham Forrest - Who Is Better?
Lorient has a 1vs1 Score of 68.3 while Nottingham Forrest has a 1vs1 Score of 61.52, showing which team is performing better this season. View Lorient's Position in 1vs1 Best Team Ranking | View Nottingham Forrest's Position in 1vs1 Best Team Ranking
Nottingham Forrest has won 761 ground duels versus 604 for Lorient, with Nottingham Forrest ranking 14 and Lorient ranking 10 in the league for ground duels won. See Full Ground duels won Ranking
Lorient has accumulated 26.29 expected goals against while Nottingham Forrest faces 37.41, with Lorient ranking 3 and Nottingham Forrest ranking 12 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 27 25 |
| Goals | 1.35 1 |
| Shot at goal number ⓘ Number of shots. | 236 289 |
| Shots on Goal | 158 205 |
| Goals conceeded | 29 36 |
| Goals conceeded | 1.45 1.44 |
| Matches won | 7 7 |
| Matches lost | 6 13 |
Scores
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, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. 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, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. Team Form
Shooting Data & xG Analysis
All Lorient`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| LOR | NOT | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Lorient creates 9 clear goal-scoring opportunities compared to Nottingham Forrest's 8 - highlighting their ability to fashion high-quality chances
Nottingham Forrest records 84 shots that miss the target completely versus Lorient's 78 - showcasing their shooting accuracy variance
Lorient completes 1653 passes from the right flank while Nottingham Forrest manages 1853 - exposing their right-sided distribution patterns
Compare Yourself
Lorient Compare Lorient
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Lorient’s and Nottingham Forrest’s Total Squad Salary
Salary Stats
#1
Joel Mvuka
0
No.
Player
Value
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
#5
Mohamed Bamba
0
#6
Arthur Avom
0
#7
Igor Silva
0
#8
Arsene Kouassi
0
#9
Bingourou Kamara
0
#10
Aiyegun Tosin
0
#11
Formose Mendy
0
#12
Darlin Yongwa
0
#13
Sambou Soumano
0
#14
Montassar Talbi
0
#15
Theo Le Bris
0
#16
Abdoulaye Faye
0
#17
Noah Cadiou
0
#18
Bamo Meite
0
#19
Yvon Mvogo
0
#20
Bamba Dieng
0
#21
Nathaniel Adjei
0
#22
Martin Bley
0
#23
Laurent Abergel
0
#24
Jean-Victor Makengo
2
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
No.
Player
Value
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
#5
Mohamed Bamba
0
#6
Arthur Avom
0
#7
Igor Silva
0
#8
Arsene Kouassi
0
#9
Bingourou Kamara
0
#10
Aiyegun Tosin
0
#11
Formose Mendy
0
#12
Darlin Yongwa
0
#13
Sambou Soumano
0
#14
Montassar Talbi
0
#15
Theo Le Bris
0
#16
Abdoulaye Faye
0
#17
Noah Cadiou
0
#18
Bamo Meite
0
#19
Yvon Mvogo
0
#20
Bamba Dieng
0
#21
Nathaniel Adjei
0
#22
Martin Bley
0
#23
Laurent Abergel
13
#24
Jean-Victor Makengo
20
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
No.
Player
Value
#1
Joel Mvuka
0
#2
Pablo Pagis
0
#3
Dermane Karim
0
#4
Panos Katseris
0
#5
Mohamed Bamba
0
#6
Arthur Avom
0
#7
Igor Silva
0
#8
Arsene Kouassi
0
#9
Bingourou Kamara
0
#10
Aiyegun Tosin
0
#11
Formose Mendy
0
#12
Darlin Yongwa
0
#13
Sambou Soumano
0
#14
Montassar Talbi
0
#15
Theo Le Bris
0
#16
Abdoulaye Faye
0
#17
Noah Cadiou
0
#18
Bamo Meite
0
#19
Yvon Mvogo
0
#20
Bamba Dieng
0
#21
Nathaniel Adjei
0
#22
Martin Bley
0
#23
Jean-Victor Makengo
37
#24
Laurent Abergel
55
#1
Jean-Victor Makengo
1.52
No.
Player
Value
#1
Jean-Victor Makengo
2
#2
Laurent Abergel
0
#3
Joel Mvuka
0
#4
Pablo Pagis
0
#5
Dermane Karim
0
#6
Panos Katseris
0
#7
Mohamed Bamba
0
#8
Arthur Avom
0
#9
Igor Silva
0
#10
Arsene Kouassi
0
#11
Bingourou Kamara
0
#12
Aiyegun Tosin
0
#13
Formose Mendy
0
#14
Darlin Yongwa
0
#15
Sambou Soumano
0
#16
Montassar Talbi
0
#17
Theo Le Bris
0
#18
Abdoulaye Faye
0
#19
Noah Cadiou
0
#20
Bamo Meite
0
#21
Yvon Mvogo
0
#22
Bamba Dieng
0
#23
Nathaniel Adjei
0
#24
Martin Bley
0
Salary Stats
#1
Jota Silva
0
No.
Player
Value
#1
Jota Silva
0
#2
Murillo
0
#3
Nikola Milenkovic
0
#4
Ryan Yates
0
#5
Callum Hudson-Odoi
0
#6
Igor Jesus
0
#7
Ola Aina
0
#8
Matz Sels
0
#9
James McAtee
0
#10
Omari Hutchinson
0
#11
Arnaud Kalimuendo
0
#12
Dilane Bakwa
0
#13
Morato
0
#14
Oleksandr Zinchenko
0
#15
Douglas Luiz
0
#16
Jair Cunha
0
#17
Zach Abbott
0
#18
John Victor
0
#19
Angus Gunn
0
#20
Stefan Ortega
0
#21
Luca Netz
0
#22
Dan Ndoye
0
#23
Neco Williams
0
#24
Lorenzo Lucca
0
#25
Taiwo Awoniyi
0
#26
Chris Wood
0
#27
Elliot Anderson
0
#28
Ibrahim Sangare
0
#29
Nicolas Dominguez
0
#30
Nicolo Savona
1
#31
Morgan Gibbs-White
1
#1
Murillo
0
#2
Callum Hudson-Odoi
0
#3
Igor Jesus
0
#4
James McAtee
0
No.
Player
Value
#1
Murillo
0
#2
Callum Hudson-Odoi
0
#3
Igor Jesus
0
#4
James McAtee
0
#5
Omari Hutchinson
0
#6
Douglas Luiz
0
#7
Jair Cunha
0
#8
Zach Abbott
0
#9
John Victor
0
#10
Angus Gunn
0
#11
Stefan Ortega
0
#12
Jota Silva
1
#13
Lorenzo Lucca
1
#14
Luca Netz
2
#15
Chris Wood
3
#16
Ola Aina
3
#17
Dilane Bakwa
3
#18
Taiwo Awoniyi
4
#19
Oleksandr Zinchenko
5
#20
Arnaud Kalimuendo
5
#21
Dan Ndoye
5
#22
Ibrahim Sangare
5
#23
Morgan Gibbs-White
6
#24
Nikola Milenkovic
6
#25
Ryan Yates
7
#26
Nicolo Savona
8
#27
Neco Williams
9
#28
Morato
9
#29
Nicolas Dominguez
10
#30
Matz Sels
12
#31
Elliot Anderson
15
#1
Murillo
0
#2
Callum Hudson-Odoi
0
#3
Igor Jesus
0
#4
James McAtee
0
No.
Player
Value
#1
Murillo
0
#2
Callum Hudson-Odoi
0
#3
Igor Jesus
0
#4
James McAtee
0
#5
Omari Hutchinson
0
#6
Douglas Luiz
0
#7
Jair Cunha
0
#8
Zach Abbott
0
#9
John Victor
0
#10
Angus Gunn
0
#11
Stefan Ortega
0
#12
Lorenzo Lucca
0
#13
Chris Wood
1
#14
Luca Netz
1
#15
Arnaud Kalimuendo
1
#16
Taiwo Awoniyi
1
#17
Jota Silva
2
#18
Ryan Yates
4
#19
Nikola Milenkovic
8
#20
Dilane Bakwa
9
#21
Dan Ndoye
10
#22
Morato
11
#23
Matz Sels
11
#24
Ibrahim Sangare
12
#25
Ola Aina
17
#26
Oleksandr Zinchenko
20
#27
Morgan Gibbs-White
20
#28
Nicolo Savona
21
#29
Nicolas Dominguez
24
#30
Neco Williams
43
#31
Elliot Anderson
91
#1
Elliot Anderson
0.78
#2
Morgan Gibbs-White
0.71
#3
Chris Wood
0.6
#4
Nicolo Savona
0.45
No.
Player
Value
#1
Elliot Anderson
1
#2
Morgan Gibbs-White
1
#3
Chris Wood
1
#4
Nicolo Savona
0
#5
Nicolas Dominguez
0
#6
Neco Williams
0
#7
Ibrahim Sangare
0
#8
Taiwo Awoniyi
0
#9
Dan Ndoye
0
#10
Arnaud Kalimuendo
0
#11
Nikola Milenkovic
0
#12
Dilane Bakwa
0
#13
Ola Aina
0
#14
Oleksandr Zinchenko
0
#15
Lorenzo Lucca
0
#16
Ryan Yates
0
#17
Morato
0
#18
Jota Silva
0
#19
Murillo
0
#20
Callum Hudson-Odoi
0
#21
Igor Jesus
0
#22
Matz Sels
0
#23
James McAtee
0
#24
Omari Hutchinson
0
#25
Douglas Luiz
0
#26
Jair Cunha
0
#27
Zach Abbott
0
#28
John Victor
0
#29
Angus Gunn
0
#30
Stefan Ortega
0
#31
Luca Netz
0
Lorient: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Lorient consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Lorient`s solid, reliable contributions that are in line with the majority of players in his position.
#48
Lorient
4.06
#49
Nantes
4.02
#50
VfL Wolfsburg
4.02
#51
AC Milan
4.02
Weak Stats
These are the areas where Lorient`s performance falls below the league average.
#80
Lorient
271
Nottingham Forrest: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Nottingham Forrest consistently performs at a high level, placing him near the top of the league.
#5
Nottingham Forrest
960
#6
Tottenham Hotspur
940
#7
Crystal Palace
923
#8
Arsenal FC
922
#8
Nottingham Forrest
229
#9
Arsenal FC
228
#10
FC Burnley
226
#11
Union Berlin
226
Average Stats
These stats show Nottingham Forrest`s solid, reliable contributions that are in line with the majority of players in his position.
#43
Nottingham Forrest
229
#44
Osasuna
228
#45
Union Berlin
228
#46
Werder Bremen
227
Weak Stats
These are the areas where Nottingham Forrest`s performance falls below the league average.
#77
Nottingham Forrest
0.11
Performance per season
Expected Threat & Involvement Analysis
Lorient has an Expected Threat of 3888.88 - ranking 11 and measuring their ability to advance the ball into dangerous positions, while Nottingham Forrest generates 5616.92 Expected Threat - sitting at 11, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Lorient has an Expected Threat against of 376.97 - placing them 9 defensively, indicating how much dangerous ball progression they allow opponents, while Nottingham Forrest concedes 599.97 Expected Threat against - ranking 11, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Lorient recorded 167 Critical ball losses - ranking 7 in possession security, meaning they've given the ball away in trouble spots, while Nottingham Forrest suffered 205 such losses - sitting at 14, highlighting which team is more vulnerable in possession under pressure and prone to dangerous turnovers. See Full Critical ball losses Ranking
Key Preformance Indicators
| Metric | Value |
|---|---|
| Expected Threat ⓘ Expected Threat (xT) measures how much a team’s chance of scoring changes when the ball is moved from one location on the pitch to another. The pitch is divided into zones, each with a value reflecting the probability of scoring if the ball is in that zone. Every on-ball action (pass, carry, dribble, sometimes reception) gets a value equal to the increase (or decrease) in the team’s scoring probability when the ball moves from the start zone to the end zone. Summing these changes across a match or season gives a player’s or team’s total xT contributed by their actions. | 3888.88 5616.92 |
| Expected Threat Against ⓘ Expected Threat Against (often written xTA or xT against) applies the same idea from the defensive point of view. It measures how much the opponent’s chance of scoring changes during their possessions against your team. When the opposition progresses the ball into more dangerous zones, the xTA you concede increases; when you prevent progression or force the ball back into safer areas, you reduce xTA conceded. Aggregated over time, xTA describes how much threat a team allows through opponent ball progression, and at player level it can be used to evaluate how well defenders and midfielders limit dangerous ball movement. | 376.97 599.97 |
| 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. | 167 205 |
| 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. | 982 1348 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.13 1.22 |
Ratings and Scores
Compare Lorient & Nottingham Forrest`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, | 68.3 61.52 |
| 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. | 64.49 60.96 |
| 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 | 63.82 57.06 |
| Offensive interventions | 123.95 137.04 |
Goals & Assists
| Goals | 27 25 |
| Assists ⓘ Creating goals, playing the final pass. | 25 22 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 2 |
| Goals by head ⓘ Goals by head | 2 6 |
| Penalty goals ⓘ Penalty goals | 1 2 |
| Goals by freekick ⓘ Goals by freekick | 1 0 |
| Goals by foot | 23 17 |
| Shots on Goal | 158 205 |
| 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. | 8.6 6.7 |
Goals & Shots conceded
| Goals conceeded | 29 36 |
| Goals by head conceeded | 5 5 |
| Goals by foot conceeded | 20 25 |
| Shots on goal conceeded | 147 218 |
| Goals per 90 min conceeded | 1.45 1.44 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3489 3966 |
| Progressive passes received (PrgR) ⓘ Number of successful offensive actions in which a player is found as a receiver (dribblings, passes, crosses) and opponent players have been bypassed | 2618 3032 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 5920 6906 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 144 101 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 161 229 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 271 325 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 29 39 |
| 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. | 680 574 |
| 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. | 1721 1814 |
| 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. | 3760 4418 |
| 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. | 1306 2000 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 75 116 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1653 1853 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1230 1334 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1866 1899 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1235 1554 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1558 2282 |
| 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. | 982 1348 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.13 90.94 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 69.9 53.44 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 92.18 80.85 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 64.44 44.32 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 44.23 45.71 |
| 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. | 68.34 55.67 |
| 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. | 78.37 75.46 |
| Succesful passes in % from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 85.28 84.02 |
| 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 75.99 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 45.73 53.7 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 79.77 77.91 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.25 80.69 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 79.3 73.41 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 82.05 80.02 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 77.42 76.19 |
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. | 5230 5998 |
| 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". | 1748 1947 |
| 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. | 376 514 |
| 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" | 599 1012 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1091 1129 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 593 879 |
| 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. | 368 678 |
| 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". | 454 767 |
| Total touches in phase Set Pieces | 744 1192 |
| Total touches in phase Second ball | 1053 1779 |
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. | 167 205 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 576 688 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 62 88 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 203 272 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 343 512 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 23 77 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 16 49 |
| 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’ | 315 457 |
| 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 | 475 590 |
| 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 | 649 840 |
| 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’ | 390 632 |
| 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’ | 89 100 |
| Ball losses total | 1918 2619 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2479 3426 |
| 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 | 181 304 |
| 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 | 769 907 |
| 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 | 785 1230 |
| 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 | 302 435 |
| 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 | 80 99 |
Defensive
| Ground duels won ⓘ Won ground duel. | 604 761 |
| Ground duels lost ⓘ Lost ground duel. | 567 740 |
| Ariel duels won ⓘ Won aerial duel. | 214 303 |
| Ariel duels lost ⓘ Lost aerial duel. | 232 368 |
| 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. | 613 725 |
| 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. | 304 398 |
| 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. | 521 766 |
| 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. | 296 439 |
| Tackles | 1171 1501 |
| Clearances by foot | 373 551 |
| Ground duels total | 1171 1501 |
| Ground duels won % | 51.58 50.7 |
| Ground duels lost % | 48.42 49.3 |
| Ariel duels total | 446 671 |
| Ariel duels won % | 47.98 45.16 |
| Ariel duels lost % | 52.02 54.84 |
| Defensive stability ⓘ The ability to defend well | 488.2 617.1 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 705 687 |
| Succesful dribbles | 6140 7510 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 367 373 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 916 902 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1478 1662 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 531 743 |
| 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 | 621 591 |
| 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 | 1644 1682 |
| 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 | 770 1062 |
| 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 | 212 286 |
| 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 | 798 909 |
| 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 | 497 529 |
| 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 | 718 703 |
| 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 | 518 585 |
| 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 | 807 1006 |
| 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 | 501 493 |
| 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 | 1307 1426 |
| 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 | 575 797 |
| 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 | 172 229 |
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. | 30.63 30.59 |
| 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. | 30.63 30.59 |
| 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) | 1.77 1.69 |
| Xg with head ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a header. | 3.29 4.76 |
| 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 | 3.12 1.56 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.13 1.22 |
| Open play Xg ⓘ Open play Xg value | 26.86 28.37 |
| Set piece Xg ⓘ Set piece Xg | 3.77 2.22 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.11 |
| Xg with foot ⓘ Xg with foot | 23.57 23.61 |
| xG over/under ⓘ 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. | -3.63 -5.59 |
| 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. | -1.29 1.24 |
| Non-penalty xG (npxG) ⓘ 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. | 27.51 29.03 |
| 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. | 0.35 -0.66 |
| 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. | -0.77 0.31 |
| 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. | 2.42 -1.32 |
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