Eintracht Frankfurt vs AC Milan: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Eintracht Frankfurt or AC Milan? 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 Eintracht Frankfurt vs. AC Milan - Who Is Better?
Eintracht Frankfurt has a 1vs1 Score of 61.8 while AC Milan has a 1vs1 Score of 79.88, showing which team is performing better this season. View Eintracht Frankfurt's Position in 1vs1 Best Team Ranking | View AC Milan's Position in 1vs1 Best Team Ranking
AC Milan has won 624 ground duels versus 654 for Eintracht Frankfurt, with AC Milan ranking 17 and Eintracht Frankfurt ranking 5 in the league for ground duels won. See Full Ground duels won Ranking
Eintracht Frankfurt has accumulated 35.26 expected goals against while AC Milan faces 28.5, with Eintracht Frankfurt ranking 14 and AC Milan ranking 6 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 41 38 |
| Goals | 1.95 1.65 |
| Shot at goal number ⓘ Number of shots. | 234 306 |
| Shots on Goal | 161 204 |
| Goals conceeded | 45 17 |
| Goals conceeded | 2.14 0.74 |
| Matches won | 7 14 |
| Matches lost | 7 1 |
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 Eintracht Frankfurt`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| EIN | MIL | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Eintracht Frankfurt creates 7 clear goal-scoring opportunities compared to AC Milan's 7 - highlighting their ability to fashion high-quality chances
AC Milan records 102 shots that miss the target completely versus Eintracht Frankfurt's 73 - showcasing their shooting accuracy variance
Eintracht Frankfurt completes 2236 passes from the right flank while AC Milan manages 2078 - exposing their right-sided distribution patterns
Compare Yourself
Eintracht Frankfurt Compare Eintracht Frankfurt
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Eintracht Frankfurt’s and AC Milan’s Total Squad Salary
Salary Stats
#1
Can Uzun
0
No.
Player
Value
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
#5
Michael Zetterer
0
#6
Jean-Matteo Bahoya
0
#7
Mario Gotze
0
#8
Elye Wahi
0
#9
Ansgar Knauff
0
#10
Aurelio Buta
0
#11
Kaua Santos
0
#12
Aurele Amenda
0
#13
Ellyes Skhiri
0
#14
Jessic Ngankam
0
#15
Elias Baum
0
#16
Younes Ebnoutalib
0
#17
Ayoube Amaimouni-Echghouyab
0
#18
Arthur Theate
0
#19
Michy Batshuayi
0
#20
Rasmus Kristensen
0
#21
Robin Koch
1
#22
Hugo Larsson
1
#23
Arnaud Kalimuendo
1
#24
Mahmoud Dahoud
1
#25
Ritsu Doan
1
#26
Nathaniel Brown
2
#27
Jonathan Burkardt
2
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
No.
Player
Value
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
#5
Jean-Matteo Bahoya
0
#6
Ansgar Knauff
0
#7
Aurelio Buta
0
#8
Kaua Santos
0
#9
Aurele Amenda
0
#10
Jessic Ngankam
0
#11
Elias Baum
0
#12
Younes Ebnoutalib
0
#13
Ayoube Amaimouni-Echghouyab
0
#14
Arnaud Kalimuendo
4
#15
Jonathan Burkardt
4
#16
Michael Zetterer
5
#17
Elye Wahi
5
#18
Michy Batshuayi
6
#19
Rasmus Kristensen
7
#20
Ellyes Skhiri
7
#21
Mario Gotze
7
#22
Mahmoud Dahoud
7
#23
Robin Koch
8
#24
Ritsu Doan
8
#25
Arthur Theate
10
#26
Hugo Larsson
15
#27
Nathaniel Brown
34
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
No.
Player
Value
#1
Can Uzun
0
#2
Nnamdi Collins
0
#3
Fares Chaibi
0
#4
Oscar Hojlund
0
#5
Jean-Matteo Bahoya
0
#6
Ansgar Knauff
0
#7
Aurelio Buta
0
#8
Kaua Santos
0
#9
Aurele Amenda
0
#10
Jessic Ngankam
0
#11
Elias Baum
0
#12
Younes Ebnoutalib
0
#13
Ayoube Amaimouni-Echghouyab
0
#14
Michy Batshuayi
2
#15
Elye Wahi
3
#16
Jonathan Burkardt
3
#17
Michael Zetterer
3
#18
Arnaud Kalimuendo
4
#19
Mahmoud Dahoud
10
#20
Robin Koch
10
#21
Mario Gotze
11
#22
Ellyes Skhiri
12
#23
Ritsu Doan
22
#24
Hugo Larsson
30
#25
Arthur Theate
35
#26
Rasmus Kristensen
36
#27
Nathaniel Brown
75
#1
Nathaniel Brown
1.39
#2
Jonathan Burkardt
1.13
#3
Ritsu Doan
0.45
#4
Michy Batshuayi
0.43
No.
Player
Value
#1
Nathaniel Brown
1
#2
Jonathan Burkardt
1
#3
Ritsu Doan
0
#4
Michy Batshuayi
0
#5
Arnaud Kalimuendo
0
#6
Hugo Larsson
0
#7
Elye Wahi
0
#8
Mahmoud Dahoud
0
#9
Robin Koch
0
#10
Rasmus Kristensen
0
#11
Arthur Theate
0
#12
Ellyes Skhiri
0
#13
Mario Gotze
0
#14
Can Uzun
0
#15
Nnamdi Collins
0
#16
Fares Chaibi
0
#17
Oscar Hojlund
0
#18
Michael Zetterer
0
#19
Jean-Matteo Bahoya
0
#20
Ansgar Knauff
0
#21
Aurelio Buta
0
#22
Kaua Santos
0
#23
Aurele Amenda
0
#24
Jessic Ngankam
0
#25
Elias Baum
0
#26
Younes Ebnoutalib
0
#27
Ayoube Amaimouni-Echghouyab
0
Salary Stats
#1
Alex Jimenez
0
#2
Pervis Estupinan
0
#3
Mike Maignan
0
#4
Matteo Gabbia
0
No.
Player
Value
#1
Alex Jimenez
0
#2
Pervis Estupinan
0
#3
Mike Maignan
0
#4
Matteo Gabbia
0
#5
Ruben Loftus-Cheek
0
#6
Fikayo Tomori
0
#7
Samuel Chukwueze
0
#8
Santiago Gimenez
0
#9
Ardon Jashari
0
#10
Cheveyo Mul
0
#11
Yunus Musah
0
#12
Pietro Terracciano
0
#13
Zachary Athekame
0
#14
Davide Bartesaghi
0
#15
Cheveyo Balentien
0
#16
David Odogu
0
#17
Luka Modric
0
#18
Youssouf Fofana
0
#19
Samuele Ricci
0
#20
Koni De Winter
0
#21
Niclas Fullkrug
0
#22
Adrien Rabiot
0
#23
Christopher Nkunku
1
#24
Strahinja Pavlovic
1
#25
Rafael Leao
1
#26
Christian Pulisic
2
#27
Alexis Saelemaekers
2
#1
Ruben Loftus-Cheek
0
#2
Samuel Chukwueze
0
#3
Ardon Jashari
0
#4
Cheveyo Mul
0
No.
Player
Value
#1
Ruben Loftus-Cheek
0
#2
Samuel Chukwueze
0
#3
Ardon Jashari
0
#4
Cheveyo Mul
0
#5
Yunus Musah
0
#6
Pietro Terracciano
0
#7
Zachary Athekame
0
#8
Davide Bartesaghi
0
#9
Cheveyo Balentien
0
#10
David Odogu
0
#11
Adrien Rabiot
1
#12
Christopher Nkunku
1
#13
Santiago Gimenez
2
#14
Niclas Fullkrug
2
#15
Alex Jimenez
2
#16
Rafael Leao
2
#17
Pervis Estupinan
2
#18
Youssouf Fofana
2
#19
Christian Pulisic
2
#20
Luka Modric
2
#21
Fikayo Tomori
3
#22
Samuele Ricci
3
#23
Koni De Winter
3
#24
Mike Maignan
5
#25
Strahinja Pavlovic
5
#26
Matteo Gabbia
5
#27
Alexis Saelemaekers
13
#1
Ruben Loftus-Cheek
0
#2
Samuel Chukwueze
0
#3
Ardon Jashari
0
#4
Cheveyo Mul
0
No.
Player
Value
#1
Ruben Loftus-Cheek
0
#2
Samuel Chukwueze
0
#3
Ardon Jashari
0
#4
Cheveyo Mul
0
#5
Pietro Terracciano
0
#6
Zachary Athekame
0
#7
Davide Bartesaghi
0
#8
Cheveyo Balentien
0
#9
David Odogu
0
#10
Santiago Gimenez
1
#11
Christopher Nkunku
2
#12
Mike Maignan
3
#13
Niclas Fullkrug
3
#14
Yunus Musah
3
#15
Rafael Leao
7
#16
Alex Jimenez
7
#17
Matteo Gabbia
8
#18
Adrien Rabiot
8
#19
Koni De Winter
10
#20
Samuele Ricci
11
#21
Pervis Estupinan
11
#22
Youssouf Fofana
12
#23
Christian Pulisic
12
#24
Fikayo Tomori
24
#25
Luka Modric
30
#26
Strahinja Pavlovic
32
#27
Alexis Saelemaekers
148
#1
Alexis Saelemaekers
2.19
#2
Christian Pulisic
1.06
#3
Rafael Leao
0.8
#4
Santiago Gimenez
0.7
No.
Player
Value
#1
Alexis Saelemaekers
2
#2
Christian Pulisic
1
#3
Rafael Leao
1
#4
Santiago Gimenez
1
#5
Christopher Nkunku
1
#6
Youssouf Fofana
1
#7
Strahinja Pavlovic
0
#8
Samuele Ricci
0
#9
Matteo Gabbia
0
#10
Niclas Fullkrug
0
#11
Fikayo Tomori
0
#12
Adrien Rabiot
0
#13
Koni De Winter
0
#14
Luka Modric
0
#15
Pervis Estupinan
0
#16
Alex Jimenez
0
#17
Mike Maignan
0
#18
Ruben Loftus-Cheek
0
#19
Samuel Chukwueze
0
#20
Ardon Jashari
0
#21
Cheveyo Mul
0
#22
Yunus Musah
0
#23
Pietro Terracciano
0
#24
Zachary Athekame
0
#25
Davide Bartesaghi
0
#26
Cheveyo Balentien
0
#27
David Odogu
0
Eintracht Frankfurt: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where Eintracht Frankfurt consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show Eintracht Frankfurt`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Eintracht Frankfurt`s performance falls below the league average.
AC Milan: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where AC Milan is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where AC Milan consistently performs at a high level, placing him near the top of the league.
Average Stats
These stats show AC Milan`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where AC Milan`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Eintracht Frankfurt has an Expected Threat of 4787.39 - ranking 6 and measuring their ability to advance the ball into dangerous positions, while AC Milan generates 5887.62 Expected Threat - sitting at 6, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Eintracht Frankfurt has an Expected Threat against of 373.64 - placing them 15 defensively, indicating how much dangerous ball progression they allow opponents, while AC Milan concedes 443.5 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
Eintracht Frankfurt recorded 195 Critical ball losses - ranking 16 in possession security, meaning they've given the ball away in trouble spots, while AC Milan suffered 142 such losses - sitting at 1, highlighting which team is more vulnerable in possession under pressure and prone to dangerous turnovers. See Full Critical ball losses Ranking
Key Preformance Indicators
| Metric | Value |
|---|---|
| Expected Threat ⓘ Expected Threat (xT) measures how much a team’s chance of scoring changes when the ball is moved from one location on the pitch to another. The pitch is divided into zones, each with a value reflecting the probability of scoring if the ball is in that zone. Every on-ball action (pass, carry, dribble, sometimes reception) gets a value equal to the increase (or decrease) in the team’s scoring probability when the ball moves from the start zone to the end zone. Summing these changes across a match or season gives a player’s or team’s total xT contributed by their actions. | 4787.39 5887.62 |
| 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. | 373.64 443.5 |
| 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. | 195 142 |
| 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. | 1221 1316 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.68 1 |
Ratings and Scores
Compare Eintracht Frankfurt & AC Milan`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, | 61.8 79.88 |
| 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. | 54.02 82.76 |
| 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 | 68.5 69.6 |
| Offensive interventions | 139.76 111.7 |
Goals & Assists
| Goals | 41 38 |
| Assists ⓘ Creating goals, playing the final pass. | 34 31 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 3 6 |
| Goals by head ⓘ Goals by head | 6 5 |
| Penalty goals ⓘ Penalty goals | 3 5 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 32 28 |
| Shots on Goal | 161 204 |
| 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. | 13.36 9.31 |
Goals & Shots conceded
| Goals conceeded | 45 17 |
| Goals by head conceeded | 9 4 |
| Goals by foot conceeded | 30 9 |
| Shots on goal conceeded | 170 165 |
| Goals per 90 min conceeded | 2.14 0.74 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3779 4023 |
| 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 | 3042 3169 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 7155 8096 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 120 170 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 177 173 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 320 302 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 26 37 |
| 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. | 747 719 |
| 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. | 1889 2159 |
| 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. | 4643 5076 |
| 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. | 1546 1838 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 78 126 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 2236 2078 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1534 1605 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2234 2442 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1391 1651 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1508 2142 |
| 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. | 1221 1316 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.13 93.76 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 60 76.23 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 84.66 88.56 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 40 61.67 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 40.69 45.29 |
| 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. | 68.98 68.87 |
| 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. | 78.41 83.52 |
| Succesful passes in % from 2nd third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘middle third’ area to another area of the field. | 84.77 89.33 |
| Succesful passes in % from final third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘last third’ area to another area of the field. | 74.54 81.65 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 43.09 57.01 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 77.33 83.64 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.58 84.88 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.68 83.17 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 79.48 84.83 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 77.91 84.85 |
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. | 6634 7645 |
| 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". | 1554 1632 |
| 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. | 409 424 |
| 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" | 830 727 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 984 1015 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 797 635 |
| 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. | 496 457 |
| 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". | 684 489 |
| Total touches in phase Set Pieces | 905 881 |
| Total touches in phase Second ball | 1514 1216 |
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. | 195 142 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 696 539 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 80 53 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 258 209 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 442 367 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 58 39 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 39 23 |
| 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’ | 336 325 |
| 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 | 520 426 |
| 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 | 834 606 |
| 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’ | 528 413 |
| 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’ | 103 95 |
| Ball losses total | 2321 1865 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2935 2569 |
| 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 | 194 233 |
| 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 | 686 780 |
| 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 | 1117 823 |
| 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 | 427 341 |
| 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 | 74 81 |
Defensive
| Ground duels won ⓘ Won ground duel. | 654 624 |
| Ground duels lost ⓘ Lost ground duel. | 691 630 |
| Ariel duels won ⓘ Won aerial duel. | 225 261 |
| Ariel duels lost ⓘ Lost aerial duel. | 312 236 |
| 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. | 619 534 |
| 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. | 314 319 |
| 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. | 646 607 |
| 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. | 371 346 |
| Tackles | 1345 1254 |
| Clearances by foot | 482 417 |
| Ground duels total | 1345 1254 |
| Ground duels won % | 48.62 49.76 |
| Ground duels lost % | 51.38 50.24 |
| Ariel duels total | 537 497 |
| Ariel duels won % | 41.9 52.52 |
| Ariel duels lost % | 58.1 47.48 |
| Defensive stability ⓘ The ability to defend well | 405.2 566.2 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 532 700 |
| Succesful dribbles | 7354 8231 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 377 367 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 840 942 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1646 1781 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 671 721 |
| 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 | 571 556 |
| Number of offensive actions in 2nd part of pitch ⓘ Number of actions with which opponents could be bypassed (dribbling, passing, crossing, standard). Here specifically IN which space this pass or dribble was played -> middle third of the pitch | 1711 1901 |
| 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 | 957 978 |
| 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 | 264 338 |
| 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 | 1073 949 |
| 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 | 556 575 |
| 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 | 783 791 |
| 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 | 533 624 |
| 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 | 644 941 |
| 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 | 493 471 |
| 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 | 1503 1593 |
| 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 | 773 757 |
| 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 | 214 270 |
xG
| Xg total ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. At player and team level, the shot-based xG indicate how many goals would have been statistically expected for the player or team on the basis of the goals scored. The comparison with the goals actually scored allows a statement to be made about the finishing efficiency. The same statement can be made about the defence by comparing the opponent's xG with the goals conceded. | 27.77 38.1 |
| 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. | 27.77 38.1 |
| 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) | 1.35 1.83 |
| 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. | 3.53 5.66 |
| 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 4.68 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.68 1 |
| Open play Xg ⓘ Open play Xg value | 24.94 33 |
| Set piece Xg ⓘ Set piece Xg | 2.82 5.09 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.12 |
| Xg with foot ⓘ Xg with foot | 21.41 27.35 |
| 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. | 13.23 -0.1 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | 2.47 -0.66 |
| 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. | 25.43 33.42 |
| 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. | -0.49 -0.42 |
| 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. | 1.65 4.17 |
| 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. | 1.5 -0.97 |
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