Nottingham Forrest vs Leeds United: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Nottingham Forrest or Leeds United? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
England 
Premier League England Premier League 
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Nottingham Forrest vs. Leeds United - Who Is Better?
Nottingham Forrest has a 1vs1 Score of 62.76 while Leeds United has a 1vs1 Score of 64.59, showing which team is performing better this season. View Nottingham Forrest's Position in 1vs1 Best Team Ranking | View Leeds United's Position in 1vs1 Best Team Ranking
Leeds United has won 791 ground duels versus 730 for Nottingham Forrest, with Leeds United ranking 2 and Nottingham Forrest ranking 13 in the league for ground duels won. See Full Ground duels won Ranking
Nottingham Forrest has accumulated 35.41 expected goals against while Leeds United faces 33.29, with Nottingham Forrest ranking 10 and Leeds United ranking 7 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 24 31 |
| Goals | 1 1.29 |
| Shot at goal number ⓘ Number of shots. | 272 287 |
| Shots on Goal | 193 192 |
| Goals conceeded | 33 40 |
| Goals conceeded | 1.38 1.67 |
| Matches won | 7 6 |
| Matches lost | 12 10 |
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 Nottingham Forrest`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| NOT | LEE | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Nottingham Forrest creates 8 clear goal-scoring opportunities compared to Leeds United's 6 - highlighting their ability to fashion high-quality chances
Leeds United records 95 shots that miss the target completely versus Nottingham Forrest's 79 - showcasing their shooting accuracy variance
Nottingham Forrest completes 1792 passes from the right flank while Leeds United manages 1406 - exposing their right-sided distribution patterns
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Nottingham Forrest Compare Nottingham Forrest
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Match Prediction
Last Matches
Nottingham Forrest’s and Leeds United’s Total Squad Salary
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
Dan Ndoye
0
#21
Neco Williams
0
#22
Taiwo Awoniyi
0
#23
Chris Wood
0
#24
Elliot Anderson
0
#25
Ibrahim Sangare
0
#26
Nicolas Dominguez
0
#27
Nicolo Savona
1
#28
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
Jota Silva
1
#12
Ola Aina
3
#13
Chris Wood
3
#14
Dilane Bakwa
3
#15
Dan Ndoye
4
#16
Taiwo Awoniyi
4
#17
Ibrahim Sangare
5
#18
Oleksandr Zinchenko
5
#19
Arnaud Kalimuendo
5
#20
Morgan Gibbs-White
5
#21
Nikola Milenkovic
5
#22
Ryan Yates
6
#23
Morato
8
#24
Nicolas Dominguez
8
#25
Nicolo Savona
8
#26
Neco Williams
9
#27
Matz Sels
12
#28
Elliot Anderson
14
#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
Chris Wood
1
#12
Arnaud Kalimuendo
1
#13
Taiwo Awoniyi
1
#14
Jota Silva
2
#15
Ryan Yates
3
#16
Nikola Milenkovic
8
#17
Dilane Bakwa
9
#18
Dan Ndoye
10
#19
Morato
11
#20
Matz Sels
11
#21
Ibrahim Sangare
12
#22
Ola Aina
17
#23
Morgan Gibbs-White
20
#24
Oleksandr Zinchenko
20
#25
Nicolo Savona
21
#26
Nicolas Dominguez
23
#27
Neco Williams
43
#28
Elliot Anderson
85
#1
Elliot Anderson
0.78
#2
Morgan Gibbs-White
0.69
#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
Neco Williams
0
#6
Nicolas Dominguez
0
#7
Ibrahim Sangare
0
#8
Taiwo Awoniyi
0
#9
Arnaud Kalimuendo
0
#10
Dan Ndoye
0
#11
Dilane Bakwa
0
#12
Nikola Milenkovic
0
#13
Oleksandr Zinchenko
0
#14
Ola Aina
0
#15
Ryan Yates
0
#16
Morato
0
#17
Jota Silva
0
#18
Murillo
0
#19
Callum Hudson-Odoi
0
#20
Igor Jesus
0
#21
Matz Sels
0
#22
James McAtee
0
#23
Omari Hutchinson
0
#24
Douglas Luiz
0
#25
Jair Cunha
0
#26
Zach Abbott
0
#27
John Victor
0
#28
Angus Gunn
0
Salary Stats
#1
Pascal Struijk
0
No.
Player
Value
#1
Pascal Struijk
0
#2
Daniel James
0
#3
Jack Harrison
0
#4
Ilia Gruev
0
#5
Gabriel Gudmundsson
0
#6
Jayden Bogle
0
#7
Lucas Perri
0
#8
Wilfried Gnonto
0
#9
Joel Piroe
0
#10
Anton Stach
0
#11
Sam Byram
0
#12
Karl Darlow
0
#13
Sebastiaan Bornauw
0
#14
Facundo Buonanotte
0
#15
Sean Longstaff
0
#16
Jaka Bijol
0
#17
Ethan Ampadu
0
#18
Noah Okafor
0
#19
James Justin
0
#20
Joe Rodon
1
#21
Ao Tanaka
1
#22
Brenden Aaronson
1
#23
Dominic Calvert-Lewin
2
#24
Lukas Nmecha
2
#1
Ilia Gruev
0
No.
Player
Value
#1
Ilia Gruev
0
#2
Joel Piroe
0
#3
Anton Stach
0
#4
Karl Darlow
0
#5
Facundo Buonanotte
3
#6
Jack Harrison
3
#7
Sebastiaan Bornauw
3
#8
Daniel James
4
#9
Sam Byram
4
#10
Sean Longstaff
5
#11
Dominic Calvert-Lewin
5
#12
Jaka Bijol
8
#13
Noah Okafor
8
#14
Lucas Perri
9
#15
James Justin
10
#16
Pascal Struijk
11
#17
Wilfried Gnonto
12
#18
Ethan Ampadu
13
#19
Brenden Aaronson
13
#20
Lukas Nmecha
14
#21
Joe Rodon
15
#22
Gabriel Gudmundsson
15
#23
Jayden Bogle
18
#24
Ao Tanaka
21
#1
Ilia Gruev
0
#2
Joel Piroe
0
#3
Anton Stach
0
#4
Sam Byram
0
No.
Player
Value
#1
Ilia Gruev
0
#2
Joel Piroe
0
#3
Anton Stach
0
#4
Sam Byram
0
#5
Karl Darlow
0
#6
Facundo Buonanotte
1
#7
Sebastiaan Bornauw
2
#8
Lukas Nmecha
4
#9
Jack Harrison
4
#10
Dominic Calvert-Lewin
5
#11
Lucas Perri
6
#12
Daniel James
6
#13
Sean Longstaff
9
#14
Jaka Bijol
11
#15
Wilfried Gnonto
12
#16
Noah Okafor
14
#17
James Justin
17
#18
Joe Rodon
21
#19
Pascal Struijk
21
#20
Brenden Aaronson
24
#21
Ao Tanaka
27
#22
Ethan Ampadu
46
#23
Gabriel Gudmundsson
63
#24
Jayden Bogle
70
#1
Lukas Nmecha
2.07
#2
Dominic Calvert-Lewin
1.83
#3
Brenden Aaronson
1.18
#4
Jayden Bogle
0.81
No.
Player
Value
#1
Lukas Nmecha
2
#2
Dominic Calvert-Lewin
2
#3
Brenden Aaronson
1
#4
Jayden Bogle
1
#5
Noah Okafor
1
#6
Ao Tanaka
1
#7
Pascal Struijk
1
#8
Ethan Ampadu
1
#9
Joe Rodon
0
#10
Gabriel Gudmundsson
0
#11
Daniel James
0
#12
Wilfried Gnonto
0
#13
James Justin
0
#14
Sean Longstaff
0
#15
Jaka Bijol
0
#16
Jack Harrison
0
#17
Facundo Buonanotte
0
#18
Ilia Gruev
0
#19
Lucas Perri
0
#20
Joel Piroe
0
#21
Anton Stach
0
#22
Sam Byram
0
#23
Karl Darlow
0
#24
Sebastiaan Bornauw
0
Nottingham Forrest: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Nottingham Forrest`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Nottingham Forrest`s performance falls below the league average.
#16
Nottingham Forrest
275
#17
Wolverhampton Wanderers
273
#18
Leeds United
272
#19
West Ham United
246
Leeds United: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Leeds United is among the very best, setting the standard for the league.
#1
Leeds United
249
#2
Crystal Palace
247
#3
Manchester United
244
#4
Tottenham Hotspur
231
Very Good Stats
These are the areas where Leeds United consistently performs at a high level, placing him near the top of the league.
#2
Leeds United
809
#3
FC Burnley
784
#4
AFC Bournemouth
761
#5
Arsenal FC
745
Average Stats
These stats show Leeds United`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Leeds United`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Nottingham Forrest has an Expected Threat of 5294.94 - ranking 11 and measuring their ability to advance the ball into dangerous positions, while Leeds United generates 4560.2 Expected Threat - sitting at 14, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Nottingham Forrest has an Expected Threat against of 524.06 - placing them 14 defensively, indicating how much dangerous ball progression they allow opponents, while Leeds United concedes 616.56 Expected Threat against - ranking 8, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Nottingham Forrest recorded 199 Critical ball losses - ranking 14 in possession security, meaning they've given the ball away in trouble spots, while Leeds United suffered 134 such losses - sitting at 1, 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. | 5294.94 4560.2 |
| 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. | 524.06 616.56 |
| 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. | 199 134 |
| 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. | 1307 1096 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.21 1.19 |
Ratings and Scores
Compare Nottingham Forrest & Leeds United`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, | 62.76 64.59 |
| 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. | 62.82 59.98 |
| 1vs1 Index offensive ⓘ The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc | 58.11 64.53 |
| Offensive interventions | 136.42 143.38 |
Goals & Assists
| Goals | 24 31 |
| Assists ⓘ Creating goals, playing the final pass. | 21 24 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 0 |
| Goals by head ⓘ Goals by head | 5 6 |
| Penalty goals ⓘ Penalty goals | 2 3 |
| Goals by freekick ⓘ Goals by freekick | 0 2 |
| Goals by foot | 17 19 |
| Shots on Goal | 193 192 |
| 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. | 6.84 8.12 |
Goals & Shots conceded
| Goals conceeded | 33 40 |
| Goals by head conceeded | 5 6 |
| Goals by foot conceeded | 22 28 |
| Shots on goal conceeded | 207 194 |
| Goals per 90 min conceeded | 1.38 1.67 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3805 3759 |
| 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 | 2919 2882 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6688 6236 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 96 108 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 220 249 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 311 236 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 36 26 |
| 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. | 557 585 |
| 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. | 1754 1827 |
| 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. | 4264 4289 |
| 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. | 1943 1199 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 110 82 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1792 1406 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1296 1198 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1842 2174 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1491 1495 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2207 1709 |
| 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. | 1307 1096 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.96 90.48 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 52.75 57.14 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 81.2 73.07 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45 41.94 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 45.74 47.43 |
| 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. | 55.59 55.77 |
| 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. | 75.47 76.06 |
| 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. | 84.17 82.94 |
| 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. | 76.26 68.13 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 52.88 44.09 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 78.12 73.66 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 80.81 81.74 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 73.39 74.91 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 80.1 76.6 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 76.26 71.99 |
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. | 5823 5376 |
| 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". | 1876 1711 |
| 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. | 485 448 |
| 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" | 975 1059 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1083 1185 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 849 854 |
| 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. | 646 613 |
| 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". | 723 809 |
| Total touches in phase Set Pieces | 1131 1061 |
| Total touches in phase Second ball | 1698 1868 |
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. | 199 134 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 665 656 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 86 81 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 261 276 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 486 589 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 72 87 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 44 36 |
| 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’ | 445 464 |
| 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 | 570 575 |
| 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 | 802 882 |
| 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’ | 605 561 |
| 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’ | 98 104 |
| Ball losses total | 2520 2586 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3274 3441 |
| 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 | 289 219 |
| 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 | 883 904 |
| 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 | 1163 1278 |
| 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 | 414 477 |
| 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 | 94 105 |
Defensive
| Ground duels won ⓘ Won ground duel. | 730 791 |
| Ground duels lost ⓘ Lost ground duel. | 704 768 |
| Ariel duels won ⓘ Won aerial duel. | 288 382 |
| Ariel duels lost ⓘ Lost aerial duel. | 344 461 |
| 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. | 701 708 |
| 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. | 383 446 |
| 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. | 727 854 |
| 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. | 416 395 |
| Tackles | 1434 1559 |
| Clearances by foot | 529 588 |
| Ground duels total | 1434 1559 |
| Ground duels won % | 50.91 50.74 |
| Ground duels lost % | 49.09 49.26 |
| Ariel duels total | 632 843 |
| Ariel duels won % | 45.57 45.31 |
| Ariel duels lost % | 54.43 54.69 |
| Defensive stability ⓘ The ability to defend well | 597.2 763.7 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 655 608 |
| Succesful dribbles | 7269 6510 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 358 370 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 865 956 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1592 1553 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 722 570 |
| 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 | 572 582 |
| 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 | 1603 1726 |
| 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 | 1032 824 |
| 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 | 275 272 |
| 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 | 877 678 |
| 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 | 510 509 |
| 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 | 676 825 |
| 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 | 555 590 |
| 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 | 969 900 |
| 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 | 477 480 |
| 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 | 1365 1463 |
| 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 | 775 638 |
| 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 | 220 230 |
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. | 29.08 36.79 |
| 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. | 29.08 36.79 |
| 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) | 1.6 1.32 |
| 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. | 4.42 6.19 |
| 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 3.12 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.21 1.19 |
| Open play Xg ⓘ Open play Xg value | 26.86 32.9 |
| Set piece Xg ⓘ Set piece Xg | 2.22 3.44 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.13 |
| Xg with foot ⓘ Xg with foot | 22.45 26.71 |
| 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. | -5.08 -5.79 |
| 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. | 0.58 -0.19 |
| 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. | 27.52 33.67 |
| 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. | -0.66 1.68 |
| 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. | 0.4 -1.32 |
| 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. | -0.84 -0.08 |
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