Werder Bremen vs Newcastle United: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Werder Bremen or Newcastle United? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
England 
Premier League 
Analyse Analyse Werder Bremen vs. Newcastle United - Who Is Better?
Werder Bremen has a 1vs1 Score of 55.6 while Newcastle United has a 1vs1 Score of 70.38, showing which team is performing better this season. View Werder Bremen's Position in 1vs1 Best Team Ranking | View Newcastle United's Position in 1vs1 Best Team Ranking
Newcastle United has won 743 ground duels versus 640 for Werder Bremen, with Newcastle United ranking 11 and Werder Bremen ranking 4 in the league for ground duels won. See Full Ground duels won Ranking
Werder Bremen has accumulated 34.71 expected goals against while Newcastle United faces 29.32, with Werder Bremen ranking 14 and Newcastle United ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 22 33 |
| Goals | 1.1 1.38 |
| Shot at goal number ⓘ Number of shots. | 265 308 |
| Shots on Goal | 181 225 |
| Goals conceeded | 37 31 |
| Goals conceeded | 1.85 1.29 |
| Matches won | 4 9 |
| Matches lost | 9 9 |
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 Werder Bremen`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| WER | NEW | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Werder Bremen creates 4 clear goal-scoring opportunities compared to Newcastle United's 3 - highlighting their ability to fashion high-quality chances
Newcastle United records 83 shots that miss the target completely versus Werder Bremen's 84 - showcasing their shooting accuracy variance
Werder Bremen completes 1634 passes from the right flank while Newcastle United manages 2318 - exposing their right-sided distribution patterns
Compare Yourself
Werder Bremen Compare Werder Bremen
Search for a team Other Comparisons
Werder Bremen’s and Newcastle United’s Total Squad Salary
Salary Stats
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Leonardo Bittencourt
0
#4
Niklas Stark
0
No.
Player
Value
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Leonardo Bittencourt
0
#4
Niklas Stark
0
#5
Karim Coulibaly
0
#6
Patrice Covic
0
#7
Felix Agu
0
#8
Isak Hansen-Aaroen
0
#9
Senne Lynen
0
#10
Marco Grull
0
#11
Julian Malatini
0
#12
Skelly Alvero
0
#13
Yukinari Sugawara
0
#14
Isaac Schmidt
0
#15
Jens Stage
0
#16
Cameron Puertas
0
#17
Victor Boniface
0
#18
Karl Hein
0
#19
Amos Pieper
0
#20
Jovan Milosevic
0
#21
Olivier Deman
0
#22
Marco Friedl
0
#23
Samuel Mbangula
1
#24
Romano Schmid
2
#25
Justin Njinmah
3
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
No.
Player
Value
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
#5
Isak Hansen-Aaroen
0
#6
Marco Grull
0
#7
Julian Malatini
0
#8
Skelly Alvero
0
#9
Isaac Schmidt
0
#10
Jens Stage
0
#11
Cameron Puertas
0
#12
Karl Hein
0
#13
Jovan Milosevic
0
#14
Olivier Deman
0
#15
Niklas Stark
5
#16
Leonardo Bittencourt
8
#17
Felix Agu
8
#18
Victor Boniface
8
#19
Marco Friedl
11
#20
Senne Lynen
13
#21
Yukinari Sugawara
14
#22
Samuel Mbangula
16
#23
Amos Pieper
17
#24
Romano Schmid
28
#25
Justin Njinmah
31
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
No.
Player
Value
#1
Mio Backhaus
0
#2
Keke Topp
0
#3
Karim Coulibaly
0
#4
Patrice Covic
0
#5
Isak Hansen-Aaroen
0
#6
Marco Grull
0
#7
Julian Malatini
0
#8
Skelly Alvero
0
#9
Isaac Schmidt
0
#10
Jens Stage
0
#11
Cameron Puertas
0
#12
Karl Hein
0
#13
Jovan Milosevic
0
#14
Olivier Deman
0
#15
Niklas Stark
2
#16
Leonardo Bittencourt
6
#17
Victor Boniface
8
#18
Felix Agu
15
#19
Samuel Mbangula
22
#20
Marco Friedl
26
#21
Justin Njinmah
27
#22
Senne Lynen
33
#23
Amos Pieper
33
#24
Yukinari Sugawara
61
#25
Romano Schmid
120
#1
Justin Njinmah
3.54
#2
Romano Schmid
3.36
#3
Victor Boniface
0.64
#4
Yukinari Sugawara
0.5
No.
Player
Value
#1
Justin Njinmah
4
#2
Romano Schmid
3
#3
Victor Boniface
1
#4
Yukinari Sugawara
1
#5
Samuel Mbangula
0
#6
Amos Pieper
0
#7
Senne Lynen
0
#8
Marco Friedl
0
#9
Niklas Stark
0
#10
Leonardo Bittencourt
0
#11
Felix Agu
0
#12
Mio Backhaus
0
#13
Keke Topp
0
#14
Karim Coulibaly
0
#15
Patrice Covic
0
#16
Isak Hansen-Aaroen
0
#17
Marco Grull
0
#18
Julian Malatini
0
#19
Skelly Alvero
0
#20
Isaac Schmidt
0
#21
Jens Stage
0
#22
Cameron Puertas
0
#23
Karl Hein
0
#24
Jovan Milosevic
0
#25
Olivier Deman
0
Salary Stats
#1
Lewis Miley
0
No.
Player
Value
#1
Lewis Miley
0
#2
Dan Burn
0
#3
Sandro Tonali
0
#4
Tino Livramento
0
#5
Anthony Elanga
0
#6
Kieran Trippier
0
#7
Fabian Schar
0
#8
Nick Pope
0
#9
Lewis Hall
0
#10
Jacob Ramsey
0
#11
Sven Botman
0
#12
Joe Willock
0
#13
Jamaal Lascelles
0
#14
Emil Krafth
0
#15
Aaron Ramsdale
0
#16
Alex Murphy
0
#17
Yoane Wissa
0
#18
Joelinton
0
#19
Anthony Gordon
0
#20
Malick Thiaw
1
#21
William Osula
1
#22
Bruno Guimaraes
1
#23
Harvey Barnes
1
#24
Nick Woltemade
1
#25
Jacob Murphy
1
#1
Lewis Miley
0
#2
Lewis Hall
0
#3
Alex Murphy
0
#4
Emil Krafth
0.62
No.
Player
Value
#1
Lewis Miley
0
#2
Lewis Hall
0
#3
Alex Murphy
0
#4
Emil Krafth
1
#5
Jamaal Lascelles
1
#6
Aaron Ramsdale
1
#7
Yoane Wissa
2
#8
Kieran Trippier
2
#9
Bruno Guimaraes
3
#10
Joelinton
3
#11
Sven Botman
3
#12
Anthony Gordon
3
#13
Joe Willock
3
#14
Sandro Tonali
4
#15
Jacob Ramsey
4
#16
Nick Woltemade
4
#17
Fabian Schar
4
#18
Tino Livramento
4
#19
Anthony Elanga
4
#20
Dan Burn
5
#21
Harvey Barnes
6
#22
Nick Pope
7
#23
Malick Thiaw
7
#24
Jacob Murphy
12
#25
William Osula
12
#1
Lewis Miley
0
#2
Lewis Hall
0
#3
Jamaal Lascelles
0
#4
Alex Murphy
0
No.
Player
Value
#1
Lewis Miley
0
#2
Lewis Hall
0
#3
Jamaal Lascelles
0
#4
Alex Murphy
0
#5
Aaron Ramsdale
0
#6
Yoane Wissa
0
#7
William Osula
1
#8
Emil Krafth
1
#9
Nick Pope
2
#10
Nick Woltemade
2
#11
Sven Botman
2
#12
Joe Willock
4
#13
Jacob Ramsey
6
#14
Joelinton
8
#15
Anthony Elanga
12
#16
Dan Burn
12
#17
Fabian Schar
12
#18
Anthony Gordon
13
#19
Sandro Tonali
14
#20
Malick Thiaw
15
#21
Bruno Guimaraes
18
#22
Harvey Barnes
19
#23
Kieran Trippier
22
#24
Tino Livramento
29
#25
Jacob Murphy
52
#1
Jacob Murphy
1.49
#2
Harvey Barnes
0.87
#3
Nick Woltemade
0.84
#4
Anthony Gordon
0.53
No.
Player
Value
#1
Jacob Murphy
1
#2
Harvey Barnes
1
#3
Nick Woltemade
1
#4
Anthony Gordon
1
#5
William Osula
0
#6
Bruno Guimaraes
0
#7
Malick Thiaw
0
#8
Yoane Wissa
0
#9
Fabian Schar
0
#10
Joelinton
0
#11
Anthony Elanga
0
#12
Sandro Tonali
0
#13
Joe Willock
0
#14
Dan Burn
0
#15
Jacob Ramsey
0
#16
Kieran Trippier
0
#17
Sven Botman
0
#18
Tino Livramento
0
#19
Lewis Miley
0
#20
Nick Pope
0
#21
Lewis Hall
0
#22
Jamaal Lascelles
0
#23
Emil Krafth
0
#24
Aaron Ramsdale
0
#25
Alex Murphy
0
Werder Bremen: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Werder Bremen consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Werder Bremen`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Werder Bremen`s performance falls below the league average.
Newcastle United: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Newcastle United consistently performs at a high level, placing him near the top of the league.
#2
Newcastle United
946
#3
Real Betis
941
#4
Manchester United
936
#5
Crystal Palace
932
#3
Newcastle United
0.04
Average Stats
These stats show Newcastle United`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Newcastle United`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Werder Bremen has an Expected Threat of 4544.87 - ranking 7 and measuring their ability to advance the ball into dangerous positions, while Newcastle United generates 6293.59 Expected Threat - sitting at 5, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Werder Bremen has an Expected Threat against of 426.07 - placing them 9 defensively, indicating how much dangerous ball progression they allow opponents, while Newcastle United concedes 560.12 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
Werder Bremen recorded 222 Critical ball losses - ranking 18 in possession security, meaning they've given the ball away in trouble spots, while Newcastle United suffered 233 such losses - sitting at 20, 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. | 4544.87 6293.59 |
| 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. | 426.07 560.12 |
| 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. | 222 233 |
| 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. | 1039 1450 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.11 1.11 |
Ratings and Scores
Compare Werder Bremen & Newcastle 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, | 55.6 70.38 |
| 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. | 54.28 67.65 |
| 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 | 59 65.28 |
| Offensive interventions | 141.35 138.33 |
Goals & Assists
| Goals | 22 33 |
| Assists ⓘ Creating goals, playing the final pass. | 21 25 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 1 |
| Goals by head ⓘ Goals by head | 3 7 |
| Penalty goals ⓘ Penalty goals | 2 4 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 17 21 |
| Shots on Goal | 181 225 |
| 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. | 6.3 8.44 |
Goals & Shots conceded
| Goals conceeded | 37 31 |
| Goals by head conceeded | 4 6 |
| Goals by foot conceeded | 30 21 |
| Shots on goal conceeded | 196 180 |
| Goals per 90 min conceeded | 1.85 1.29 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3545 4312 |
| 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 | 2884 3495 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6438 7706 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 148 133 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 179 189 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 346 345 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 34 42 |
| 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. | 818 595 |
| 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. | 1886 1916 |
| 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. | 4124 4917 |
| 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. | 1384 2075 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 92 121 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1634 2318 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1323 1639 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2284 2231 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1338 1523 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1725 1913 |
| 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. | 1039 1450 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.59 91.36 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 61.16 63.03 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 92.51 86.9 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 52.31 41.18 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 43.13 42.95 |
| 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. | 72.07 59.26 |
| 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. | 78.19 79.34 |
| 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. | 83.97 84.69 |
| 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. | 75.01 76.77 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 51.69 46.36 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 78.37 76.77 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 79.88 81.57 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.71 77.71 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 80.62 80.66 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 76.57 79.19 |
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. | 5917 6744 |
| 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". | 1659 1976 |
| 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. | 456 610 |
| 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" | 771 880 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 930 1033 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 826 946 |
| 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. | 529 692 |
| 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". | 562 673 |
| Total touches in phase Set Pieces | 985 1302 |
| Total touches in phase Second ball | 1333 1553 |
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. | 222 233 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 669 729 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 94 78 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 236 251 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 376 550 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 28 52 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 31 60 |
| 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’ | 317 409 |
| 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 | 526 499 |
| 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 | 787 889 |
| 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’ | 461 628 |
| 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’ | 86 140 |
| Ball losses total | 2177 2565 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2827 3320 |
| 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 | 227 278 |
| 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 | 755 736 |
| 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 | 1033 1275 |
| 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 | 370 467 |
| 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 | 57 109 |
Defensive
| Ground duels won ⓘ Won ground duel. | 640 743 |
| Ground duels lost ⓘ Lost ground duel. | 670 742 |
| Ariel duels won ⓘ Won aerial duel. | 212 367 |
| Ariel duels lost ⓘ Lost aerial duel. | 208 292 |
| 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. | 644 656 |
| 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. | 306 337 |
| 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. | 610 829 |
| 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. | 351 412 |
| Tackles | 1310 1485 |
| Clearances by foot | 454 476 |
| Ground duels total | 1310 1485 |
| Ground duels won % | 48.85 50.03 |
| Ground duels lost % | 51.15 49.97 |
| Ariel duels total | 420 659 |
| Ariel duels won % | 50.48 55.69 |
| Ariel duels lost % | 49.52 44.31 |
| Defensive stability ⓘ The ability to defend well | 419.4 650.3 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 528 653 |
| Succesful dribbles | 6878 7966 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 390 389 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 921 915 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1512 1962 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 554 831 |
| 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 | 620 589 |
| 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 | 1659 1985 |
| 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 | 800 1111 |
| 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 | 239 339 |
| 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 | 835 1062 |
| 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 | 486 655 |
| 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 | 805 911 |
| 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 | 519 621 |
| 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 | 776 912 |
| 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 | 518 500 |
| 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 | 1426 1709 |
| 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 | 659 897 |
| 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 | 204 294 |
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. | 24.32 36.51 |
| 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. | 24.32 36.51 |
| 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) | 1.66 1.36 |
| 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. | 3.77 6.15 |
| 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 | 2.34 3.12 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.11 1.11 |
| Open play Xg ⓘ Open play Xg value | 21.32 32.97 |
| Set piece Xg ⓘ Set piece Xg | 3 3.54 |
| Xg average per shot ⓘ Xg average per shot | 0.09 0.12 |
| Xg with foot ⓘ Xg with foot | 17.56 26.82 |
| 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. | -2.32 -3.51 |
| 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. | -0.77 0.85 |
| 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. | 21.98 33.4 |
| 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 -0.38 |
| Goals minus Xg long distance shot ⓘ Long distance goals (more than 22 meters) minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -1.66 -0.36 |
| 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. | 3.8 -4.1 |
Comments (0)