FSV Mainz 05 vs Juventus: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – FSV Mainz 05 or Juventus? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
FSV Mainz 05 vs. Juventus - Who Is Better?
FSV Mainz 05 has a 1vs1 Score of 60.48 while Juventus has a 1vs1 Score of 83.01, showing which team is performing better this season. View FSV Mainz 05's Position in 1vs1 Best Team Ranking | View Juventus's Position in 1vs1 Best Team Ranking
Juventus has won 756 ground duels versus 609 for FSV Mainz 05, with Juventus ranking 3 and FSV Mainz 05 ranking 7 in the league for ground duels won. See Full Ground duels won Ranking
FSV Mainz 05 has accumulated 37.27 expected goals against while Juventus faces 20.51, with FSV Mainz 05 ranking 16 and Juventus ranking 2 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals | 23 39 |
| Goals | 1.15 1.7 |
| Shot at goal number ⓘ Number of shots. | 216 364 |
| Shots on Goal | 152 271 |
| Goals conceeded | 31 17 |
| Goals conceeded | 1.55 0.74 |
| Matches won | 4 13 |
| Matches lost | 10 4 |
Scores
Team Form
Shooting Data & xG Analysis
All FSV Mainz 05`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| MAI | JUV | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
FSV Mainz 05 creates 7 clear goal-scoring opportunities compared to Juventus's 6 - highlighting their ability to fashion high-quality chances
Juventus records 93 shots that miss the target completely versus FSV Mainz 05's 64 - showcasing their shooting accuracy variance
FSV Mainz 05 completes 1585 passes from the right flank while Juventus manages 2187 - exposing their right-sided distribution patterns
Compare Yourself
Compare FSV Mainz 05
Other Comparisons
FSV Mainz 05’s and Juventus’s Total Squad Salary
Salary Stats
#1
Nelson Weiper
0
No.
Player
Value
#1
Nelson Weiper
0
#2
Robin Zentner
0
#3
Kaishu Sano
0
#4
Lennard Maloney
0
#5
Andreas Hanche-Olsen
0
#6
Anthony Caci
0
#7
Armindo Sieb
0
#8
Phillipp Mwene
0
#9
Ben Bobzien
0
#10
Nikolas Veratschnig
0
#11
Arnaud Nordin
0
#12
Sota Kawasaki
0
#13
William Boving
0
#14
Maxim Leitsch
0
#15
Lasse Riess
0
#16
Kacper Potulski
0
#17
Daniel Batz
0
#18
Fabio Moreno Fell
0
#19
Stefan Posch
0
#20
Benedict Hollerbach
0
#21
Dominik Kohr
0
#22
Silas
1
#23
Danny da Costa
1
#24
Paul Nebel
1
#25
Jae-sung Lee
1
#26
Phillip Tietz
1
#27
Silvan Widmer
1
#28
Stefan Bell
1
#29
Nadiem Amiri
2
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
No.
Player
Value
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
#5
Nikolas Veratschnig
0
#6
Sota Kawasaki
0
#7
William Boving
0
#8
Lasse Riess
0
#9
Kacper Potulski
0
#10
Daniel Batz
0
#11
Fabio Moreno Fell
0
#12
Stefan Posch
2
#13
Anthony Caci
2
#14
Silas
2
#15
Maxim Leitsch
3
#16
Robin Zentner
4
#17
Phillip Tietz
6
#18
Silvan Widmer
8
#19
Nadiem Amiri
8
#20
Andreas Hanche-Olsen
9
#21
Dominik Kohr
10
#22
Benedict Hollerbach
10
#23
Jae-sung Lee
11
#24
Phillipp Mwene
13
#25
Arnaud Nordin
15
#26
Lennard Maloney
17
#27
Stefan Bell
17
#28
Paul Nebel
19
#29
Danny da Costa
21
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
No.
Player
Value
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
#5
Nikolas Veratschnig
0
#6
Sota Kawasaki
0
#7
William Boving
0
#8
Lasse Riess
0
#9
Kacper Potulski
0
#10
Daniel Batz
0
#11
Fabio Moreno Fell
0
#12
Silas
2
#13
Lennard Maloney
5
#14
Maxim Leitsch
7
#15
Andreas Hanche-Olsen
10
#16
Benedict Hollerbach
11
#17
Phillip Tietz
12
#18
Stefan Posch
14
#19
Robin Zentner
15
#20
Stefan Bell
17
#21
Jae-sung Lee
20
#22
Arnaud Nordin
20
#23
Silvan Widmer
32
#24
Dominik Kohr
36
#25
Anthony Caci
37
#26
Phillipp Mwene
38
#27
Paul Nebel
58
#28
Nadiem Amiri
62
#29
Danny da Costa
68
#1
Phillip Tietz
2.24
#2
Nadiem Amiri
2.01
#3
Paul Nebel
1.24
#4
Benedict Hollerbach
1.06
No.
Player
Value
#1
Phillip Tietz
2
#2
Nadiem Amiri
2
#3
Paul Nebel
1
#4
Benedict Hollerbach
1
#5
Silvan Widmer
1
#6
Jae-sung Lee
1
#7
Stefan Bell
1
#8
Danny da Costa
0
#9
Arnaud Nordin
0
#10
Silas
0
#11
Dominik Kohr
0
#12
Phillipp Mwene
0
#13
Anthony Caci
0
#14
Lennard Maloney
0
#15
Andreas Hanche-Olsen
0
#16
Maxim Leitsch
0
#17
Nelson Weiper
0
#18
Robin Zentner
0
#19
Kaishu Sano
0
#20
Armindo Sieb
0
#21
Ben Bobzien
0
#22
Nikolas Veratschnig
0
#23
Sota Kawasaki
0
#24
William Boving
0
#25
Lasse Riess
0
#26
Kacper Potulski
0
#27
Daniel Batz
0
#28
Fabio Moreno Fell
0
#29
Stefan Posch
0
Salary Stats
#1
Kenan Yildiz
0
No.
Player
Value
#1
Kenan Yildiz
0
#2
Teun Koopmeiners
0
#3
Joao Mario
0
#4
Nico Gonzalez
0
#5
Manuel Locatelli
0
#6
Michele Di Gregorio
0
#7
Vasilije Adzic
0
#8
Edon Zhegrova
0
#9
Daniele Rugani
0
#10
Mattia Perin
0
#11
Lois Openda
0
#12
Dusan Vlahovic
0
#13
Federico Gatti
0
#14
Lloyd Kelly
0
#15
Andrea Cambiaso
0
#16
Khephren Thuram
0
#17
Bremer
0
#18
Pierre Kalulu
0
#19
Francisco Conceicao
0
#20
Jonathan David
0
#21
Fabio Miretti
1
#22
Juan Cabal
1
#23
Weston McKennie
1
#24
Filip Kostic
1
#1
Kenan Yildiz
0
#2
Nico Gonzalez
0
#3
Vasilije Adzic
0
#4
Dusan Vlahovic
0.54
No.
Player
Value
#1
Kenan Yildiz
0
#2
Nico Gonzalez
0
#3
Vasilije Adzic
0
#4
Dusan Vlahovic
1
#5
Bremer
1
#6
Mattia Perin
1
#7
Federico Gatti
1
#8
Jonathan David
1
#9
Daniele Rugani
2
#10
Edon Zhegrova
2
#11
Lois Openda
2
#12
Joao Mario
2
#13
Francisco Conceicao
3
#14
Manuel Locatelli
3
#15
Teun Koopmeiners
3
#16
Andrea Cambiaso
3
#17
Fabio Miretti
3
#18
Filip Kostic
3
#19
Lloyd Kelly
4
#20
Juan Cabal
4
#21
Michele Di Gregorio
4
#22
Khephren Thuram
4
#23
Weston McKennie
5
#24
Pierre Kalulu
6
#1
Kenan Yildiz
0
#2
Vasilije Adzic
0
#3
Daniele Rugani
0.3
#4
Mattia Perin
0.36
No.
Player
Value
#1
Kenan Yildiz
0
#2
Vasilije Adzic
0
#3
Daniele Rugani
0
#4
Mattia Perin
0
#5
Dusan Vlahovic
1
#6
Nico Gonzalez
1
#7
Lois Openda
1
#8
Michele Di Gregorio
2
#9
Jonathan David
3
#10
Bremer
3
#11
Federico Gatti
5
#12
Juan Cabal
6
#13
Joao Mario
8
#14
Edon Zhegrova
12
#15
Filip Kostic
12
#16
Teun Koopmeiners
16
#17
Lloyd Kelly
20
#18
Francisco Conceicao
20
#19
Fabio Miretti
26
#20
Weston McKennie
29
#21
Andrea Cambiaso
36
#22
Khephren Thuram
39
#23
Manuel Locatelli
40
#24
Pierre Kalulu
45
#1
Weston McKennie
0.88
#2
Francisco Conceicao
0.74
#3
Jonathan David
0.7
#4
Khephren Thuram
0.64
No.
Player
Value
#1
Weston McKennie
1
#2
Francisco Conceicao
1
#3
Jonathan David
1
#4
Khephren Thuram
1
#5
Lois Openda
1
#6
Fabio Miretti
0
#7
Pierre Kalulu
0
#8
Juan Cabal
0
#9
Andrea Cambiaso
0
#10
Filip Kostic
0
#11
Dusan Vlahovic
0
#12
Federico Gatti
0
#13
Teun Koopmeiners
0
#14
Lloyd Kelly
0
#15
Manuel Locatelli
0
#16
Bremer
0
#17
Edon Zhegrova
0
#18
Joao Mario
0
#19
Nico Gonzalez
0
#20
Kenan Yildiz
0
#21
Michele Di Gregorio
0
#22
Vasilije Adzic
0
#23
Daniele Rugani
0
#24
Mattia Perin
0
FSV Mainz 05: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where FSV Mainz 05 is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where FSV Mainz 05 consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show FSV Mainz 05`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where FSV Mainz 05`s performance falls below the league average.
Juventus: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Juventus consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Juventus`s solid, reliable contributions that are in line with the majority of players in his position.
#25
Juventus
205
#26
Espanyol
204
#27
Deportivo Alaves
203
#28
Genua CFC
203
#25
Juventus
5.16
#26
Villarreal
5.14
#27
SC Freiburg
5.1
#28
Atletico Madrid
5.09
Weak Stats
These are the areas where Juventus`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
FSV Mainz 05 has an Expected Threat of 3705.71 - ranking 15 and measuring their ability to advance the ball into dangerous positions, while Juventus generates 6755.19 Expected Threat - sitting at 2, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
FSV Mainz 05 has an Expected Threat against of 475.38 - placing them 7 defensively, indicating how much dangerous ball progression they allow opponents, while Juventus concedes 355.46 Expected Threat against - ranking 17, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
FSV Mainz 05 recorded 146 Critical ball losses - ranking 9 in possession security, meaning they've given the ball away in trouble spots, while Juventus suffered 176 such losses - sitting at 16, 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. | 3705.71 6755.19 |
| 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. | 475.38 355.46 |
| 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. | 146 176 |
| 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. | 1168 1695 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.21 1.2 |
Ratings and Scores
Compare FSV Mainz 05 & Juventus`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, | 60.48 83.01 |
| 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. | 57.6 87.83 |
| 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 | 61.43 72 |
| Offensive interventions | 162.5 128.83 |
Goals & Assists
| Goals | 23 39 |
| Assists ⓘ Creating goals, playing the final pass. | 17 31 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 4 |
| Goals by head ⓘ Goals by head | 3 7 |
| Penalty goals ⓘ Penalty goals | 5 2 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 15 28 |
| Shots on Goal | 152 271 |
| Shots on goal / Goal Ratio ⓘ Describes the ratio of shots on goal and the number of goals. The ideal value would be 100% - every shot is a goal. | 8.21 8.1 |
Goals & Shots conceded
| Goals conceeded | 31 17 |
| Goals by head conceeded | 6 2 |
| Goals by foot conceeded | 23 14 |
| Shots on goal conceeded | 196 146 |
| Goals per 90 min conceeded | 1.55 0.74 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3114 4369 |
| 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 | 2455 3353 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 4221 9018 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 95 115 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 187 205 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 334 341 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 37 57 |
| 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. | 472 613 |
| 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. | 1176 1993 |
| 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. | 3049 5635 |
| 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. | 1303 2502 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 88 157 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1585 2187 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 953 1769 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1463 2541 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 856 2021 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1231 2382 |
| 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. | 1168 1695 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 85.65 93.24 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.75 64.97 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 85.42 88.11 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45.12 61.96 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 39.79 46.91 |
| 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. | 55.2 71.11 |
| 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. | 67.28 82.29 |
| 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. | 77.19 89.03 |
| 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. | 67.37 81.45 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 40.93 50.16 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 68.46 82.42 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 69.65 85.49 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 69.73 83.81 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 71.39 85.58 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 70.7 82.68 |
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. | 3485 8099 |
| 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". | 1468 2023 |
| 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. | 598 518 |
| 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" | 1009 774 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 959 1055 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 895 725 |
| 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. | 657 588 |
| 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". | 771 618 |
| Total touches in phase Set Pieces | 1255 1106 |
| Total touches in phase Second ball | 1780 1392 |
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. | 146 176 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 707 654 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 64 62 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 283 232 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 580 364 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 57 46 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 45 35 |
| 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’ | 383 249 |
| 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 | 572 429 |
| 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 | 901 694 |
| 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’ | 631 570 |
| 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’ | 127 156 |
| Ball losses total | 2614 2098 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3250 2963 |
| 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 | 235 187 |
| 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 | 743 693 |
| 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 | 1257 1136 |
| 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 | 474 463 |
| 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 | 90 122 |
Defensive
| Ground duels won ⓘ Won ground duel. | 609 756 |
| Ground duels lost ⓘ Lost ground duel. | 607 669 |
| Ariel duels won ⓘ Won aerial duel. | 397 279 |
| Ariel duels lost ⓘ Lost aerial duel. | 411 256 |
| 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. | 701 663 |
| 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. | 332 363 |
| 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. | 855 593 |
| 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. | 364 380 |
| Tackles | 1216 1425 |
| Clearances by foot | 538 489 |
| Ground duels total | 1216 1425 |
| Ground duels won % | 50.08 53.05 |
| Ground duels lost % | 49.92 46.95 |
| Ariel duels total | 808 535 |
| Ariel duels won % | 49.13 52.15 |
| Ariel duels lost % | 50.87 47.85 |
| Defensive stability ⓘ The ability to defend well | 656.9 733.2 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 442 846 |
| Succesful dribbles | 4842 8998 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 297 278 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 610 923 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1350 1979 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 598 952 |
| 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 | 366 578 |
| 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 | 1298 1864 |
| 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 | 876 1282 |
| 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 | 292 413 |
| 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 | 821 957 |
| 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 | 443 616 |
| 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 | 637 815 |
| 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 | 366 760 |
| 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 | 640 1069 |
| 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 | 309 488 |
| 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 | 1122 1534 |
| 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 | 729 961 |
| 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 | 243 312 |
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. | 27.93 44.37 |
| 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. | 27.93 44.37 |
| 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) | 0.83 1.79 |
| 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. | 4.63 5.43 |
| 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 | 4.68 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 1.2 |
| Open play Xg ⓘ Open play Xg value | 22.93 40.54 |
| Set piece Xg ⓘ Set piece Xg | 5 3.83 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.12 |
| Xg with foot ⓘ Xg with foot | 18.31 35.11 |
| 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. | -4.93 -7.37 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -1.63 1.57 |
| 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. | 23.25 41.25 |
| 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. | -0.32 -0.71 |
| 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. | -0.83 2.21 |
| 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. | -0.12 -0.93 |
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