Tottenham Hotspur vs Manchester United: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Tottenham Hotspur or Manchester 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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Tottenham Hotspur vs. Manchester United - Who Is Better?
Tottenham Hotspur has a 1vs1 Score of 67.61 while Manchester United has a 1vs1 Score of 74.64, showing which team is performing better this season. View Tottenham Hotspur's Position in 1vs1 Best Team Ranking | View Manchester United's Position in 1vs1 Best Team Ranking
Manchester United has won 734 ground duels versus 883 for Tottenham Hotspur, with Manchester United ranking 12 and Tottenham Hotspur ranking 1 in the league for ground duels won. See Full Ground duels won Ranking
Tottenham Hotspur has accumulated 34.37 expected goals against while Manchester United faces 33.03, with Tottenham Hotspur ranking 8 and Manchester United ranking 6 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 35 44 |
| Goals | 1.46 1.83 |
| Shot at goal number ⓘ Number of shots. | 262 383 |
| Shots on Goal | 180 255 |
| Goals conceeded | 33 34 |
| Goals conceeded | 1.38 1.42 |
| Matches won | 7 11 |
| Matches lost | 9 5 |
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 Tottenham Hotspur`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| TOT | MUN | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Tottenham Hotspur creates 5 clear goal-scoring opportunities compared to Manchester United's 12 - highlighting their ability to fashion high-quality chances
Manchester United records 128 shots that miss the target completely versus Tottenham Hotspur's 82 - showcasing their shooting accuracy variance
Tottenham Hotspur completes 1776 passes from the right flank while Manchester United manages 1885 - exposing their right-sided distribution patterns
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Match Prediction
Tottenham Hotspur’s and Manchester United’s Total Squad Salary
Salary Stats
#1
Wilson Odobert
0
No.
Player
Value
#1
Wilson Odobert
0
#2
Joao Palhinha
0
#3
Djed Spence
0
#4
Pedro Porro
0
#5
Pape Matar Sarr
0
#6
Mathys Tel
0
#7
Guglielmo Vicario
0
#8
Kevin Danso
0
#9
Destiny Udogie
0
#10
Randal Kolo Muani
0
#11
Radu Dragusin
0
#12
Dane Scarlett
0
#13
Yves Bissouma
0
#14
Conor Gallagher
0
#15
Junai Byfield
0
#16
Xavi Simons
0
#17
Ben Davies
0
#18
Archie Gray
0
#19
Rodrigo Bentancur
0
#20
Mohammed Kudus
0
#21
Dominic Solanke
0
#22
Lucas Bergvall
0
#23
Brennan Johnson
0
#24
Cristian Romero
0
#25
Richarlison
1
#26
Micky van de Ven
1
#1
Joao Palhinha
0
#2
Pape Matar Sarr
0
#3
Mathys Tel
0
#4
Randal Kolo Muani
0
No.
Player
Value
#1
Joao Palhinha
0
#2
Pape Matar Sarr
0
#3
Mathys Tel
0
#4
Randal Kolo Muani
0
#5
Dane Scarlett
0
#6
Junai Byfield
0
#7
Conor Gallagher
1
#8
Dominic Solanke
1
#9
Radu Dragusin
1
#10
Ben Davies
1
#11
Yves Bissouma
2
#12
Mohammed Kudus
2
#13
Cristian Romero
3
#14
Xavi Simons
3
#15
Brennan Johnson
4
#16
Kevin Danso
4
#17
Destiny Udogie
5
#18
Archie Gray
5
#19
Richarlison
5
#20
Lucas Bergvall
6
#21
Rodrigo Bentancur
6
#22
Pedro Porro
6
#23
Guglielmo Vicario
7
#24
Micky van de Ven
10
#25
Djed Spence
11
#26
Wilson Odobert
20
#1
Joao Palhinha
0
#2
Pape Matar Sarr
0
#3
Mathys Tel
0
#4
Randal Kolo Muani
0
No.
Player
Value
#1
Joao Palhinha
0
#2
Pape Matar Sarr
0
#3
Mathys Tel
0
#4
Randal Kolo Muani
0
#5
Dane Scarlett
0
#6
Junai Byfield
0
#7
Dominic Solanke
0
#8
Radu Dragusin
0
#9
Conor Gallagher
2
#10
Ben Davies
3
#11
Yves Bissouma
3
#12
Brennan Johnson
4
#13
Guglielmo Vicario
5
#14
Richarlison
5
#15
Kevin Danso
6
#16
Archie Gray
6
#17
Xavi Simons
6
#18
Cristian Romero
7
#19
Lucas Bergvall
10
#20
Rodrigo Bentancur
11
#21
Mohammed Kudus
12
#22
Destiny Udogie
14
#23
Micky van de Ven
16
#24
Pedro Porro
39
#25
Djed Spence
46
#26
Wilson Odobert
50
#1
Wilson Odobert
1.48
#2
Richarlison
1.01
#3
Micky van de Ven
0.66
#4
Djed Spence
0.45
No.
Player
Value
#1
Wilson Odobert
1
#2
Richarlison
1
#3
Micky van de Ven
1
#4
Djed Spence
0
#5
Lucas Bergvall
0
#6
Mohammed Kudus
0
#7
Pedro Porro
0
#8
Xavi Simons
0
#9
Archie Gray
0
#10
Rodrigo Bentancur
0
#11
Brennan Johnson
0
#12
Destiny Udogie
0
#13
Dominic Solanke
0
#14
Ben Davies
0
#15
Yves Bissouma
0
#16
Cristian Romero
0
#17
Conor Gallagher
0
#18
Kevin Danso
0
#19
Radu Dragusin
0
#20
Joao Palhinha
0
#21
Pape Matar Sarr
0
#22
Mathys Tel
0
#23
Guglielmo Vicario
0
#24
Randal Kolo Muani
0
#25
Dane Scarlett
0
#26
Junai Byfield
0
Salary Stats
#1
Leny Yoro
0
No.
Player
Value
#1
Leny Yoro
0
#2
Luke Shaw
0
#3
Altay Bayindir
0
#4
Casemiro
0
#5
Manuel Ugarte
0
#6
Ayden Heaven
0
#7
Kobbie Mainoo
0
#8
Noussair Mazraoui
0
#9
Senne Lammens
0
#10
Lisandro Martinez
0
#11
Jack Fletcher
0
#12
Shea Lacey
0
#13
Tyler Fredricson
0
#14
Tyrell Malacia
0
#15
Bendito Mantato
0
#16
Harry Maguire
0
#17
Matthijs de Ligt
0
#18
Diogo Dalot
0
#19
Bruno Fernandes
0
#20
Amad Diallo
0
#21
Joshua Zirkzee
0
#22
Mason Mount
0
#23
Benjamin Sesko
1
#24
Matheus Cunha
1
#25
Bryan Mbeumo
1
#26
Patrick Dorgu
1
#1
Altay Bayindir
0
#2
Casemiro
0
#3
Ayden Heaven
0
#4
Senne Lammens
0
No.
Player
Value
#1
Altay Bayindir
0
#2
Casemiro
0
#3
Ayden Heaven
0
#4
Senne Lammens
0
#5
Jack Fletcher
0
#6
Shea Lacey
0
#7
Tyler Fredricson
0
#8
Tyrell Malacia
0
#9
Bendito Mantato
0
#10
Harry Maguire
1
#11
Matthijs de Ligt
2
#12
Bruno Fernandes
2
#13
Lisandro Martinez
2
#14
Noussair Mazraoui
2
#15
Mason Mount
2
#16
Matheus Cunha
3
#17
Manuel Ugarte
3
#18
Benjamin Sesko
3
#19
Bryan Mbeumo
3
#20
Amad Diallo
4
#21
Joshua Zirkzee
4
#22
Luke Shaw
4
#23
Leny Yoro
5
#24
Diogo Dalot
6
#25
Patrick Dorgu
13
#26
Kobbie Mainoo
15
#1
Altay Bayindir
0
#2
Casemiro
0
#3
Ayden Heaven
0
#4
Senne Lammens
0
No.
Player
Value
#1
Altay Bayindir
0
#2
Casemiro
0
#3
Ayden Heaven
0
#4
Senne Lammens
0
#5
Jack Fletcher
0
#6
Shea Lacey
0
#7
Tyler Fredricson
0
#8
Tyrell Malacia
0
#9
Bendito Mantato
0
#10
Harry Maguire
1
#11
Benjamin Sesko
2
#12
Joshua Zirkzee
2
#13
Matthijs de Ligt
2
#14
Manuel Ugarte
5
#15
Lisandro Martinez
6
#16
Noussair Mazraoui
7
#17
Matheus Cunha
7
#18
Mason Mount
7
#19
Leny Yoro
9
#20
Bryan Mbeumo
10
#21
Bruno Fernandes
11
#22
Luke Shaw
14
#23
Kobbie Mainoo
18
#24
Amad Diallo
19
#25
Diogo Dalot
25
#26
Patrick Dorgu
37
#1
Patrick Dorgu
1.02
#2
Bryan Mbeumo
0.84
#3
Benjamin Sesko
0.7
#4
Amad Diallo
0.56
No.
Player
Value
#1
Patrick Dorgu
1
#2
Bryan Mbeumo
1
#3
Benjamin Sesko
1
#4
Amad Diallo
1
#5
Matheus Cunha
0
#6
Bruno Fernandes
0
#7
Joshua Zirkzee
0
#8
Diogo Dalot
0
#9
Kobbie Mainoo
0
#10
Mason Mount
0
#11
Matthijs de Ligt
0
#12
Leny Yoro
0
#13
Harry Maguire
0
#14
Manuel Ugarte
0
#15
Lisandro Martinez
0
#16
Luke Shaw
0
#17
Altay Bayindir
0
#18
Casemiro
0
#19
Ayden Heaven
0
#20
Noussair Mazraoui
0
#21
Senne Lammens
0
#22
Jack Fletcher
0
#23
Shea Lacey
0
#24
Tyler Fredricson
0
#25
Tyrell Malacia
0
#26
Bendito Mantato
0
Tottenham Hotspur: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Tottenham Hotspur is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Tottenham Hotspur consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Tottenham Hotspur`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Tottenham Hotspur`s performance falls below the league average.
Manchester United: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Manchester United is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Manchester United consistently performs at a high level, placing him near the top of the league.
#2
Manchester United
1996
#3
Liverpool FC
1968
#4
Newcastle United
1962
#5
Brighton and Hove Albion
1938
Average Stats
These stats show Manchester United`s solid, reliable contributions that are in line with the majority of players in his position.
#7
Manchester United
328
#8
Chelsea
324
#9
Brighton and Hove Albion
308
#10
Tottenham Hotspur
305
#7
Manchester United
643
#8
Fulham
612
#9
Aston Villa
598
#10
Tottenham Hotspur
568
Weak Stats
These are the areas where Manchester United`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Tottenham Hotspur has an Expected Threat of 5372.45 - ranking 9 and measuring their ability to advance the ball into dangerous positions, while Manchester United generates 5689.57 Expected Threat - sitting at 6, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Tottenham Hotspur has an Expected Threat against of 503.16 - placing them 16 defensively, indicating how much dangerous ball progression they allow opponents, while Manchester United concedes 547.6 Expected Threat against - ranking 12, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Tottenham Hotspur recorded 218 Critical ball losses - ranking 18 in possession security, meaning they've given the ball away in trouble spots, while Manchester United suffered 195 such losses - sitting at 13, 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. | 5372.45 5689.57 |
| 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. | 503.16 547.6 |
| 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. | 218 195 |
| 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. | 1202 1358 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.83 1.14 |
Ratings and Scores
Compare Tottenham Hotspur & Manchester 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, | 67.61 74.64 |
| 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. | 66.38 65.52 |
| 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 | 62.07 74.18 |
| Offensive interventions | 141.25 145.54 |
Goals & Assists
| Goals | 35 44 |
| Assists ⓘ Creating goals, playing the final pass. | 30 38 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 3 |
| Goals by head ⓘ Goals by head | 10 8 |
| Penalty goals ⓘ Penalty goals | 0 2 |
| Goals by freekick ⓘ Goals by freekick | 0 1 |
| Goals by foot | 24 31 |
| Shots on Goal | 180 255 |
| Shots on goal / Goal Ratio ⓘ Describes the ratio of shots on goal and the number of goals. The ideal value would be 100% - every shot is a goal. | 9.88 8.22 |
Goals & Shots conceded
| Goals conceeded | 33 34 |
| Goals by head conceeded | 4 7 |
| Goals by foot conceeded | 28 23 |
| Shots on goal conceeded | 178 179 |
| Goals per 90 min conceeded | 1.38 1.42 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3890 4257 |
| 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 | 2985 3387 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6901 7079 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 121 154 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 231 244 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 327 320 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 27 31 |
| 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. | 842 594 |
| 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. | 1944 1675 |
| 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. | 4165 4875 |
| 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. | 1776 1907 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 111 116 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1776 1885 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1458 1491 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2319 2181 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1433 1506 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1852 2104 |
| 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. | 1202 1358 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 89.53 90.59 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.9 66.67 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 79.95 83.12 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 36.49 52.54 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 44.94 46.3 |
| 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. | 69.24 55.2 |
| 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. | 76.54 75.86 |
| 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. | 81.54 84.31 |
| Succesful passes in % from final third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘last third’ area to another area of the field. | 74.62 78.74 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 45.49 51.1 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 76.12 77.5 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.01 80.02 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 78.13 75.1 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 78.26 79.99 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 72.34 80.21 |
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. | 6089 5955 |
| 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". | 1797 2247 |
| 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. | 633 479 |
| 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" | 914 1073 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1021 1025 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 907 936 |
| 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. | 769 737 |
| 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". | 715 821 |
| Total touches in phase Set Pieces | 1402 1216 |
| Total touches in phase Second ball | 1629 1894 |
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. | 218 195 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 807 735 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 81 77 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 283 283 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 508 521 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 82 65 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 47 28 |
| 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’ | 374 482 |
| 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 | 596 533 |
| 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 | 943 907 |
| 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’ | 604 515 |
| 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’ | 133 111 |
| Ball losses total | 2650 2548 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3390 3493 |
| 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 | 246 265 |
| 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 | 880 891 |
| 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 | 1227 1333 |
| 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 | 480 440 |
| 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 | 115 115 |
Defensive
| Ground duels won ⓘ Won ground duel. | 883 734 |
| Ground duels lost ⓘ Lost ground duel. | 814 724 |
| Ariel duels won ⓘ Won aerial duel. | 337 376 |
| Ariel duels lost ⓘ Lost aerial duel. | 349 389 |
| 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. | 711 735 |
| 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. | 445 380 |
| 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. | 803 834 |
| 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. | 367 430 |
| Tackles | 1697 1458 |
| Clearances by foot | 567 579 |
| Ground duels total | 1697 1458 |
| Ground duels won % | 52.03 50.34 |
| Ground duels lost % | 47.97 49.66 |
| Ariel duels total | 686 765 |
| Ariel duels won % | 49.13 49.15 |
| Ariel duels lost % | 50.87 50.85 |
| Defensive stability ⓘ The ability to defend well | 744.9 677.8 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 686 647 |
| Succesful dribbles | 7600 7254 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 429 369 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 941 881 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1594 1996 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 666 744 |
| 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 | 631 556 |
| 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 | 1726 2034 |
| 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 | 897 1030 |
| 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 | 305 328 |
| 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 | 912 910 |
| 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 | 568 643 |
| 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 | 844 883 |
| 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 | 520 604 |
| 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 | 839 1010 |
| 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 | 519 468 |
| 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 | 1423 1752 |
| 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 | 703 819 |
| 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 | 244 270 |
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. | 28.15 47.9 |
| 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. | 28.15 47.9 |
| 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) | 1.18 2.39 |
| 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. | 7.24 8.95 |
| Xg with penalites ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a penalty | 0 3.12 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.83 1.14 |
| Open play Xg ⓘ Open play Xg value | 27.45 44.32 |
| Set piece Xg ⓘ Set piece Xg | 0.7 3.58 |
| Xg average per shot ⓘ Xg average per shot | 0.11 0.13 |
| Xg with foot ⓘ Xg with foot | 20.22 35.38 |
| 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. | 5.85 -5.9 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 2.76 -0.95 |
| 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. | 28.15 44.79 |
| 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. | -0.7 0.53 |
| 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. | -0.18 0.61 |
| 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. | 0.39 -0.04 |
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