FSV Mainz 05 vs U.S. Sassuolo: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – FSV Mainz 05 or U.S. Sassuolo? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Germany 
Bundesliga 
Italy 
Serie A 
Analyse Analyse FSV Mainz 05 vs. U.S. Sassuolo - Who Is Better?
FSV Mainz 05 has a 1vs1 Score of 61.7 while U.S. Sassuolo has a 1vs1 Score of 66.41, showing which team is performing better this season. View FSV Mainz 05's Position in 1vs1 Best Team Ranking | View U.S. Sassuolo's Position in 1vs1 Best Team Ranking
U.S. Sassuolo has won 594 ground duels versus 650 for FSV Mainz 05, with U.S. Sassuolo ranking 19 and FSV Mainz 05 ranking 6 in the league for ground duels won. See Full Ground duels won Ranking
FSV Mainz 05 has accumulated 38.23 expected goals against while U.S. Sassuolo faces 33.48, with FSV Mainz 05 ranking 15 and U.S. Sassuolo ranking 12 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 25 27 |
| Goals | 1.19 1.17 |
| Shot at goal number ⓘ Number of shots. | 227 249 |
| Shots on Goal | 161 165 |
| Goals conceeded | 31 27 |
| Goals conceeded | 1.48 1.17 |
| Matches won | 5 8 |
| Matches lost | 10 10 |
Scores
To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are a few example: succesful passes, ball losses, goals, assists, expected goals, critical ball losses, initiating dangerous attacks, clearances, ball regains in different parts of the pitch, The 1vs1 Performance defensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 10 values. To enhance your comprehension of our performance index, we will elucidate some of its values. However, it's important to note that we cannot disclose all of them. Here are few examples: critical ball losses, clearances, ball regains in different parts of the pitch, etc The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values. Attacking Threat measures a player`s or teams ability to directly impact the game by creating scoring opportunities. It considers actions like dribbling past opponents, winning the ball in dangerous areas, and taking shots on goal. Team Form
Shooting Data & xG Analysis
All FSV Mainz 05`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| MAI | SAS | |
| 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 U.S. Sassuolo's 4 - highlighting their ability to fashion high-quality chances
U.S. Sassuolo records 84 shots that miss the target completely versus FSV Mainz 05's 66 - showcasing their shooting accuracy variance
FSV Mainz 05 completes 1636 passes from the right flank while U.S. Sassuolo manages 1590 - exposing their right-sided distribution patterns
Compare Yourself
FSV Mainz 05 Compare FSV Mainz 05
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FSV Mainz 05’s and U.S. Sassuolo’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
Sheraldo Becker
0
#21
Benedict Hollerbach
0
#22
Dominik Kohr
0
#23
Silas
1
#24
Danny da Costa
1
#25
Paul Nebel
1
#26
Jae-sung Lee
1
#27
Phillip Tietz
1
#28
Silvan Widmer
1
#29
Stefan Bell
1
#30
Nadiem Amiri
3
#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
Sheraldo Becker
0
#13
Stefan Posch
2
#14
Anthony Caci
2
#15
Silas
2
#16
Maxim Leitsch
3
#17
Robin Zentner
4
#18
Phillip Tietz
6
#19
Silvan Widmer
8
#20
Nadiem Amiri
8
#21
Andreas Hanche-Olsen
9
#22
Dominik Kohr
10
#23
Benedict Hollerbach
10
#24
Jae-sung Lee
11
#25
Phillipp Mwene
13
#26
Arnaud Nordin
15
#27
Lennard Maloney
17
#28
Stefan Bell
17
#29
Paul Nebel
19
#30
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
Sheraldo Becker
0
#13
Silas
2
#14
Lennard Maloney
5
#15
Maxim Leitsch
7
#16
Andreas Hanche-Olsen
10
#17
Benedict Hollerbach
11
#18
Phillip Tietz
12
#19
Robin Zentner
15
#20
Stefan Bell
18
#21
Arnaud Nordin
20
#22
Jae-sung Lee
20
#23
Stefan Posch
21
#24
Silvan Widmer
32
#25
Anthony Caci
37
#26
Dominik Kohr
37
#27
Phillipp Mwene
39
#28
Paul Nebel
58
#29
Nadiem Amiri
64
#30
Danny da Costa
74
#1
Nadiem Amiri
2.28
#2
Phillip Tietz
2.24
#3
Paul Nebel
1.24
#4
Benedict Hollerbach
1.06
No.
Player
Value
#1
Nadiem Amiri
2
#2
Phillip Tietz
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
Silas
0
#10
Arnaud Nordin
0
#11
Dominik Kohr
0
#12
Phillipp Mwene
0
#13
Anthony Caci
0
#14
Lennard Maloney
0
#15
Andreas Hanche-Olsen
0
#16
Sheraldo Becker
0
#17
Maxim Leitsch
0
#18
Nelson Weiper
0
#19
Robin Zentner
0
#20
Kaishu Sano
0
#21
Armindo Sieb
0
#22
Ben Bobzien
0
#23
Nikolas Veratschnig
0
#24
Sota Kawasaki
0
#25
William Boving
0
#26
Lasse Riess
0
#27
Kacper Potulski
0
#28
Daniel Batz
0
#29
Fabio Moreno Fell
0
#30
Stefan Posch
0
Salary Stats
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Sebastian Walukiewicz
0
#4
Nicholas Pierini
0
No.
Player
Value
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Sebastian Walukiewicz
0
#4
Nicholas Pierini
0
#5
Stefano Turati
0
#6
Andrea Ghion
0
#7
Fali Cande
0
#8
Luca Moro
0
#9
Daniel Boloca
0
#10
Tarik Muharemovic
0
#11
Josh Doig
0
#12
Alieu Fadera
0
#13
Aster Vranckx
0
#14
Arijanet Muric
0
#15
Edoardo Iannoni
0
#16
Jay Idzes
0
#17
Kristian Thorstvedt
0
#18
Woyo Coulibaly
0
#19
Walid Cheddira
0
#20
Cas Odenthal
0
#21
Laurs Skjellerup
0
#22
Nemanja Matic
0
#23
Cristian Volpato
1
#24
Andrea Pinamonti
1
#25
Domenico Berardi
1
#26
Armand Lauriente
3
#27
Ismael Kone
3
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Stefano Turati
0
#4
Andrea Ghion
0
No.
Player
Value
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Stefano Turati
0
#4
Andrea Ghion
0
#5
Fali Cande
0
#6
Luca Moro
0
#7
Tarik Muharemovic
0
#8
Alieu Fadera
0
#9
Aster Vranckx
0
#10
Edoardo Iannoni
0
#11
Jay Idzes
0
#12
Kristian Thorstvedt
0
#13
Woyo Coulibaly
0
#14
Walid Cheddira
0
#15
Cas Odenthal
0
#16
Laurs Skjellerup
0
#17
Domenico Berardi
3
#18
Daniel Boloca
5
#19
Andrea Pinamonti
6
#20
Nemanja Matic
7
#21
Nicholas Pierini
8
#22
Arijanet Muric
12
#23
Cristian Volpato
12
#24
Josh Doig
17
#25
Ismael Kone
17
#26
Sebastian Walukiewicz
23
#27
Armand Lauriente
23
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Stefano Turati
0
#4
Andrea Ghion
0
No.
Player
Value
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Stefano Turati
0
#4
Andrea Ghion
0
#5
Fali Cande
0
#6
Luca Moro
0
#7
Tarik Muharemovic
0
#8
Alieu Fadera
0
#9
Aster Vranckx
0
#10
Edoardo Iannoni
0
#11
Jay Idzes
0
#12
Kristian Thorstvedt
0
#13
Woyo Coulibaly
0
#14
Walid Cheddira
0
#15
Cas Odenthal
0
#16
Laurs Skjellerup
0
#17
Andrea Pinamonti
4
#18
Daniel Boloca
5
#19
Domenico Berardi
11
#20
Arijanet Muric
12
#21
Nicholas Pierini
13
#22
Nemanja Matic
40
#23
Cristian Volpato
47
#24
Ismael Kone
51
#25
Josh Doig
81
#26
Armand Lauriente
95
#27
Sebastian Walukiewicz
135
#1
Armand Lauriente
2.43
#2
Ismael Kone
1.93
#3
Andrea Pinamonti
1.57
#4
Domenico Berardi
0.74
No.
Player
Value
#1
Armand Lauriente
2
#2
Ismael Kone
2
#3
Andrea Pinamonti
2
#4
Domenico Berardi
1
#5
Cristian Volpato
1
#6
Josh Doig
0
#7
Sebastian Walukiewicz
0
#8
Nicholas Pierini
0
#9
Nemanja Matic
0
#10
Daniel Boloca
0
#11
Arijanet Muric
0
#12
Luca Lipani
0
#13
Filippo Romagna
0
#14
Stefano Turati
0
#15
Andrea Ghion
0
#16
Fali Cande
0
#17
Luca Moro
0
#18
Tarik Muharemovic
0
#19
Alieu Fadera
0
#20
Aster Vranckx
0
#21
Edoardo Iannoni
0
#22
Jay Idzes
0
#23
Kristian Thorstvedt
0
#24
Woyo Coulibaly
0
#25
Walid Cheddira
0
#26
Cas Odenthal
0
#27
Laurs Skjellerup
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.
#3
FSV Mainz 05
803
#4
FC Burnley
802
#5
AFC Bournemouth
794
#6
Hellas Verona
775
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.
U.S. Sassuolo: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where U.S. Sassuolo consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show U.S. Sassuolo`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where U.S. Sassuolo`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 U.S. Sassuolo generates 3806.44 Expected Threat - sitting at 13, 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 U.S. Sassuolo concedes 365.53 Expected Threat against - ranking 15, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
FSV Mainz 05 recorded 150 Critical ball losses - ranking 7 in possession security, meaning they've given the ball away in trouble spots, while U.S. Sassuolo suffered 163 such losses - sitting at 10, 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 3806.44 |
| 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. | 475.38 365.53 |
| 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. | 150 163 |
| 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. | 1208 1130 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.21 1.13 |
Ratings and Scores
Compare FSV Mainz 05 & U.S. Sassuolo`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, | 61.7 66.41 |
| 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. | 58.09 66.36 |
| 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 | 61.97 60.18 |
| Offensive interventions | 161.95 126.87 |
Goals & Assists
| Goals | 25 27 |
| Assists ⓘ Creating goals, playing the final pass. | 18 25 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 1 |
| Goals by head ⓘ Goals by head | 3 4 |
| Penalty goals ⓘ Penalty goals | 7 2 |
| Goals by freekick ⓘ Goals by freekick | 0 1 |
| Goals by foot | 15 19 |
| Shots on Goal | 161 165 |
| 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. | 8.53 7.81 |
Goals & Shots conceded
| Goals conceeded | 31 27 |
| Goals by head conceeded | 6 5 |
| Goals by foot conceeded | 23 17 |
| Shots on goal conceeded | 205 197 |
| Goals per 90 min conceeded | 1.48 1.17 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3252 3654 |
| 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 | 2565 2812 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 4393 6096 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 100 126 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 196 148 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 350 290 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 39 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. | 491 665 |
| 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. | 1233 1801 |
| 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. | 3179 3921 |
| 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. | 1348 1372 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 97 79 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1636 1590 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1005 1210 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1538 1953 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 890 1301 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1279 1784 |
| 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. | 1208 1130 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 85.73 89.85 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 60.61 62.69 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 84.95 85.04 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 45.88 50.82 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 38.97 37.76 |
| 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. | 55.17 63.27 |
| 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. | 67.3 77.76 |
| 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. | 76.99 82.79 |
| 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. | 67.27 75.59 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 41.99 45.66 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 68.32 75.53 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 69.48 78.8 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 69.85 76.77 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 71.33 81.37 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 70.46 77.67 |
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. | 3639 5324 |
| 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". | 1539 1711 |
| Offensive touches in phase Set Pieces ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch. In this case in the opponents box. | 623 519 |
| 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" | 1053 775 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1024 1108 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 924 783 |
| 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. | 684 487 |
| 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". | 803 560 |
| Total touches in phase Set Pieces | 1307 1006 |
| Total touches in phase Second ball | 1856 1335 |
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. | 150 163 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 731 689 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 65 75 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 307 244 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 606 422 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 62 51 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 46 30 |
| 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’ | 399 386 |
| 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 | 599 515 |
| 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 | 950 815 |
| 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’ | 656 443 |
| 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’ | 134 94 |
| Ball losses total | 2738 2253 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 3401 2918 |
| 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 | 244 223 |
| 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 | 780 839 |
| 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 | 1310 1026 |
| 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 | 494 347 |
| 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 | 91 71 |
Defensive
| Ground duels won ⓘ Won ground duel. | 650 594 |
| Ground duels lost ⓘ Lost ground duel. | 640 726 |
| Ariel duels won ⓘ Won aerial duel. | 413 252 |
| Ariel duels lost ⓘ Lost aerial duel. | 427 298 |
| 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. | 737 715 |
| 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. | 354 293 |
| 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. | 883 635 |
| 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. | 386 346 |
| Tackles | 1290 1320 |
| Clearances by foot | 577 438 |
| Ground duels total | 1290 1320 |
| Ground duels won % | 50.39 45 |
| Ground duels lost % | 49.61 55 |
| Ariel duels total | 840 550 |
| Ariel duels won % | 49.17 45.82 |
| Ariel duels lost % | 50.83 54.18 |
| Defensive stability ⓘ The ability to defend well | 708 380.6 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 459 645 |
| Succesful dribbles | 5045 6474 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 312 365 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 645 910 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1409 1530 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 618 625 |
| 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 | 384 562 |
| 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 | 1367 1696 |
| 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 | 905 874 |
| 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 | 303 256 |
| 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 | 862 810 |
| 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 | 463 464 |
| 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 | 673 750 |
| 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 | 376 580 |
| 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 | 663 875 |
| 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 | 325 475 |
| 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 | 1181 1392 |
| 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 | 752 685 |
| 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 | 253 201 |
xG
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 30.15 29.42 |
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 30.15 29.42 |
| 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 1.48 |
| 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. | 4.83 4.62 |
| 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 | 6.24 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.21 1.13 |
| Open play Xg ⓘ Open play Xg value | 23.6 26.33 |
| Set piece Xg ⓘ Set piece Xg | 6.55 3.09 |
| Xg average per shot ⓘ Xg average per shot | 0.13 0.12 |
| Xg with foot ⓘ Xg with foot | 18.77 21.71 |
| xG over/under ⓘ Goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -5.15 -3.42 |
| 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. | -1.83 -0.62 |
| 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. | 23.92 27.08 |
| 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 0.25 |
| 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 -0.48 |
| 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. | -0.29 -2.38 |
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