Olympique Lyonnais vs Inter Milan: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – Olympique Lyonnais or Inter Milan? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
France 
Ligue 1 
Italy 
Serie A 
Analyse Analyse Olympique Lyonnais vs. Inter Milan - Who Is Better?
Olympique Lyonnais has a 1vs1 Score of 76.73 while Inter Milan has a 1vs1 Score of 88.69, showing which team is performing better this season. View Olympique Lyonnais's Position in 1vs1 Best Team Ranking | View Inter Milan's Position in 1vs1 Best Team Ranking
Inter Milan has won 699 ground duels versus 544 for Olympique Lyonnais, with Inter Milan ranking 11 and Olympique Lyonnais ranking 17 in the league for ground duels won. See Full Ground duels won Ranking
Olympique Lyonnais has accumulated 27.36 expected goals against while Inter Milan faces 19.54, with Olympique Lyonnais ranking 5 and Inter Milan ranking 1 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 34 52 |
| Goals | 1.62 2.26 |
| Shot at goal number ⓘ Number of shots. | 264 407 |
| Shots on Goal | 194 273 |
| Goals conceeded | 19 19 |
| Goals conceeded | 0.9 0.83 |
| Matches won | 13 18 |
| Matches lost | 5 4 |
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 Olympique Lyonnais`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| LYO | INT | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
Olympique Lyonnais creates 14 clear goal-scoring opportunities compared to Inter Milan's 4 - highlighting their ability to fashion high-quality chances
Inter Milan records 134 shots that miss the target completely versus Olympique Lyonnais's 70 - showcasing their shooting accuracy variance
Olympique Lyonnais completes 1660 passes from the right flank while Inter Milan manages 2111 - exposing their right-sided distribution patterns
Compare Yourself
Olympique Lyonnais Compare Olympique Lyonnais
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Olympique Lyonnais’s and Inter Milan’s Total Squad Salary
Salary Stats
#1
Sael Kumbedi
0
No.
Player
Value
#1
Sael Kumbedi
0
#2
Remy Descamps
0
#3
Khalis Merah
0
#4
Pavel Sulc
0
#5
Moussa Niakhate
0
#6
Tyler Morton
0
#7
Adam Karabec
0
#8
Clinton Mata
0
#9
Nicolas Tagliafico
0
#10
Afonso Moreira
0
#11
Ruben Kluivert
0
#12
Rachid Ghezzal
0
#13
Enzo Molebe
0
#14
Mathys de Carvalho
0
#15
Dominik Greif
0
#16
Martin Satriano
0
#17
Hans Hateboer
0
#18
Adil Hamdani
0
#19
Orel Mangala
0
#20
Endrick
0
#21
Remi Himbert
0
#22
Noah Nartey
0
#23
Ainsley Maitland-Niles
0
#24
Georges Mikautadze
0
#25
Tanner Tessmann
0
#26
Corentin Tolisso
0
#27
Abner
1
#28
Malick Fofana
2
#1
Sael Kumbedi
0
#2
Khalis Merah
0
#3
Pavel Sulc
0
#4
Tyler Morton
0
No.
Player
Value
#1
Sael Kumbedi
0
#2
Khalis Merah
0
#3
Pavel Sulc
0
#4
Tyler Morton
0
#5
Georges Mikautadze
0
#6
Adam Karabec
0
#7
Afonso Moreira
0
#8
Ruben Kluivert
0
#9
Rachid Ghezzal
0
#10
Enzo Molebe
0
#11
Mathys de Carvalho
0
#12
Martin Satriano
0
#13
Adil Hamdani
0
#14
Endrick
0
#15
Remi Himbert
0
#16
Noah Nartey
0
#17
Orel Mangala
0
#18
Remy Descamps
1
#19
Corentin Tolisso
3
#20
Moussa Niakhate
3
#21
Abner
4
#22
Nicolas Tagliafico
5
#23
Hans Hateboer
5
#24
Ainsley Maitland-Niles
5
#25
Malick Fofana
8
#26
Tanner Tessmann
8
#27
Clinton Mata
9
#28
Dominik Greif
9
#1
Sael Kumbedi
0
#2
Remy Descamps
0
#3
Khalis Merah
0
#4
Pavel Sulc
0
No.
Player
Value
#1
Sael Kumbedi
0
#2
Remy Descamps
0
#3
Khalis Merah
0
#4
Pavel Sulc
0
#5
Tyler Morton
0
#6
Adam Karabec
0
#7
Afonso Moreira
0
#8
Ruben Kluivert
0
#9
Rachid Ghezzal
0
#10
Enzo Molebe
0
#11
Mathys de Carvalho
0
#12
Martin Satriano
0
#13
Adil Hamdani
0
#14
Orel Mangala
0
#15
Endrick
0
#16
Remi Himbert
0
#17
Noah Nartey
0
#18
Georges Mikautadze
2
#19
Dominik Greif
4
#20
Moussa Niakhate
12
#21
Corentin Tolisso
14
#22
Hans Hateboer
14
#23
Nicolas Tagliafico
20
#24
Clinton Mata
23
#25
Abner
27
#26
Tanner Tessmann
35
#27
Ainsley Maitland-Niles
37
#28
Malick Fofana
50
#1
Malick Fofana
2.5
#2
Tanner Tessmann
0.83
#3
Ainsley Maitland-Niles
0.79
#4
Corentin Tolisso
0.71
No.
Player
Value
#1
Malick Fofana
3
#2
Tanner Tessmann
1
#3
Ainsley Maitland-Niles
1
#4
Corentin Tolisso
1
#5
Abner
1
#6
Georges Mikautadze
1
#7
Hans Hateboer
1
#8
Nicolas Tagliafico
0
#9
Moussa Niakhate
0
#10
Clinton Mata
0
#11
Orel Mangala
0
#12
Sael Kumbedi
0
#13
Remy Descamps
0
#14
Khalis Merah
0
#15
Pavel Sulc
0
#16
Tyler Morton
0
#17
Adam Karabec
0
#18
Afonso Moreira
0
#19
Ruben Kluivert
0
#20
Rachid Ghezzal
0
#21
Enzo Molebe
0
#22
Mathys de Carvalho
0
#23
Dominik Greif
0
#24
Martin Satriano
0
#25
Adil Hamdani
0
#26
Endrick
0
#27
Remi Himbert
0
#28
Noah Nartey
0
Salary Stats
#1
Petar Sucic
0
No.
Player
Value
#1
Petar Sucic
0
#2
Benjamin Pavard
0
#3
Yann Sommer
0
#4
Luis Henrique
0
#5
Andy Diouf
0
#6
Francesco Acerbi
0
#7
Pio Esposito
0
#8
Matteo Darmian
0
#9
Manuel Akanji
0
#10
Davide Frattesi
0
#11
Josep Martinez
0
#12
Stefan de Vrij
0
#13
Matteo Lavelli
0
#14
Nicolo Barella
0
#15
Alessandro Bastoni
0
#16
Denzel Dumfries
0
#17
Henrikh Mkhitaryan
0
#18
Carlos Augusto
0
#19
Piotr Zielinski
0
#20
Yann Bisseck
1
#21
Hakan Calhanoglu
1
#22
Federico Dimarco
1
#23
Lautaro Martinez
1
#24
Marcus Thuram
1
#25
Ange-Yoan Bonny
1
#1
Petar Sucic
0
#2
Benjamin Pavard
0
#3
Andy Diouf
0
#4
Pio Esposito
0
No.
Player
Value
#1
Petar Sucic
0
#2
Benjamin Pavard
0
#3
Andy Diouf
0
#4
Pio Esposito
0
#5
Matteo Lavelli
0
#6
Josep Martinez
0
#7
Stefan de Vrij
1
#8
Lautaro Martinez
1
#9
Davide Frattesi
1
#10
Matteo Darmian
1
#11
Hakan Calhanoglu
1
#12
Nicolo Barella
2
#13
Alessandro Bastoni
2
#14
Marcus Thuram
2
#15
Piotr Zielinski
2
#16
Denzel Dumfries
2
#17
Federico Dimarco
2
#18
Luis Henrique
3
#19
Manuel Akanji
3
#20
Henrikh Mkhitaryan
3
#21
Francesco Acerbi
4
#22
Ange-Yoan Bonny
5
#23
Yann Bisseck
5
#24
Yann Sommer
6
#25
Carlos Augusto
6
#1
Petar Sucic
0
#2
Benjamin Pavard
0
#3
Andy Diouf
0
#4
Pio Esposito
0
No.
Player
Value
#1
Petar Sucic
0
#2
Benjamin Pavard
0
#3
Andy Diouf
0
#4
Pio Esposito
0
#5
Matteo Lavelli
0
#6
Josep Martinez
1
#7
Davide Frattesi
1
#8
Stefan de Vrij
2
#9
Matteo Darmian
2
#10
Yann Sommer
3
#11
Lautaro Martinez
4
#12
Marcus Thuram
4
#13
Ange-Yoan Bonny
5
#14
Denzel Dumfries
9
#15
Francesco Acerbi
10
#16
Piotr Zielinski
11
#17
Hakan Calhanoglu
13
#18
Nicolo Barella
16
#19
Manuel Akanji
16
#20
Henrikh Mkhitaryan
23
#21
Alessandro Bastoni
23
#22
Yann Bisseck
24
#23
Carlos Augusto
27
#24
Luis Henrique
27
#25
Federico Dimarco
32
#1
Lautaro Martinez
0.77
#2
Marcus Thuram
0.69
#3
Ange-Yoan Bonny
0.61
#4
Henrikh Mkhitaryan
0.55
No.
Player
Value
#1
Lautaro Martinez
1
#2
Marcus Thuram
1
#3
Ange-Yoan Bonny
1
#4
Henrikh Mkhitaryan
1
#5
Federico Dimarco
0
#6
Hakan Calhanoglu
0
#7
Carlos Augusto
0
#8
Yann Bisseck
0
#9
Manuel Akanji
0
#10
Denzel Dumfries
0
#11
Nicolo Barella
0
#12
Davide Frattesi
0
#13
Luis Henrique
0
#14
Alessandro Bastoni
0
#15
Francesco Acerbi
0
#16
Piotr Zielinski
0
#17
Stefan de Vrij
0
#18
Petar Sucic
0
#19
Benjamin Pavard
0
#20
Yann Sommer
0
#21
Andy Diouf
0
#22
Pio Esposito
0
#23
Matteo Darmian
0
#24
Josep Martinez
0
#25
Matteo Lavelli
0
Olympique Lyonnais: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Average Stats
These stats show Olympique Lyonnais`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Olympique Lyonnais`s performance falls below the league average.
Inter Milan: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Inter Milan is among the very best, setting the standard for the league.
#1
Inter Milan
432
#2
Liverpool FC
414
#3
Barcelona
408
#4
Bayern Munich
402
#1
Inter Milan
393
#2
Barcelona
348
#3
Bayern Munich
327
#4
Liverpool FC
326
Very Good Stats
These are the areas where Inter Milan consistently performs at a high level, placing him near the top of the league.
#2
Inter Milan
89.86
Average Stats
These stats show Inter Milan`s solid, reliable contributions that are in line with the majority of players in his position.
#21
Inter Milan
167
#22
Osasuna
164
#23
Real Oviedo
161
#24
Liverpool FC
161
Weak Stats
These are the areas where Inter Milan`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
Olympique Lyonnais has an Expected Threat of 4881.66 - ranking 5 and measuring their ability to advance the ball into dangerous positions, while Inter Milan generates 7639.27 Expected Threat - sitting at 1, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
Olympique Lyonnais has an Expected Threat against of 387.98 - placing them 7 defensively, indicating how much dangerous ball progression they allow opponents, while Inter Milan concedes 344.87 Expected Threat against - ranking 19, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
Olympique Lyonnais recorded 143 Critical ball losses - ranking 1 in possession security, meaning they've given the ball away in trouble spots, while Inter Milan suffered 158 such losses - sitting at 8, 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. | 4881.66 7639.27 |
| 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. | 387.98 344.87 |
| 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. | 143 158 |
| 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. | 1110 1757 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.14 1.01 |
Ratings and Scores
Compare Olympique Lyonnais & Inter 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, | 76.73 88.69 |
| 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. | 75.81 89.86 |
| 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 | 67.66 79.07 |
| Offensive interventions | 119.57 123.04 |
Goals & Assists
| Goals | 34 52 |
| Assists ⓘ Creating goals, playing the final pass. | 31 48 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 2 |
| Goals by head ⓘ Goals by head | 5 10 |
| Penalty goals ⓘ Penalty goals | 1 4 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 26 36 |
| Shots on Goal | 194 273 |
| Shots on goal / Goal Ratio ⓘ Describes the ratio of shots on goal and the number of goals. The ideal value would be 100% - every shot is a goal. | 9.58 9.24 |
Goals & Shots conceded
| Goals conceeded | 19 19 |
| Goals by head conceeded | 4 2 |
| Goals by foot conceeded | 15 15 |
| Shots on goal conceeded | 154 122 |
| Goals per 90 min conceeded | 0.9 0.83 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3709 4415 |
| 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 | 2953 3559 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6995 8989 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 185 167 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 136 209 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 330 332 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 40 50 |
| 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. | 725 681 |
| 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. | 2007 2118 |
| 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. | 4471 5483 |
| 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. | 1456 2703 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 92 177 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1660 2111 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1321 1887 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2299 2757 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1530 2016 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1941 2391 |
| 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. | 1110 1757 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 92.54 93.25 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 71.98 75.57 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 94.56 86.91 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 52.63 53.19 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 38.86 46.04 |
| 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. | 70.39 75.08 |
| 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. | 82.42 83.06 |
| 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. | 87.15 88.35 |
| 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. | 76.83 81.64 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 49.46 56.55 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 82.11 80.29 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 84.81 86.86 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 82.58 85.2 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 84.63 87 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 76.75 81.73 |
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. | 6636 8346 |
| 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". | 1476 1893 |
| 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. | 426 589 |
| 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" | 664 837 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 909 981 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 646 755 |
| 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. | 483 525 |
| 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". | 489 590 |
| Total touches in phase Set Pieces | 909 1114 |
| Total touches in phase Second ball | 1153 1427 |
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. | 143 158 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 564 651 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 72 54 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 214 245 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 329 320 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 19 50 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 36 44 |
| 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’ | 305 226 |
| 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 | 428 432 |
| 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 | 659 723 |
| 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’ | 439 608 |
| 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’ | 94 136 |
| Ball losses total | 1925 2125 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2511 2830 |
| 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 | 215 146 |
| 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 | 661 618 |
| 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 | 881 1079 |
| 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 | 348 494 |
| 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 | 88 116 |
Defensive
| Ground duels won ⓘ Won ground duel. | 544 699 |
| Ground duels lost ⓘ Lost ground duel. | 563 623 |
| Ariel duels won ⓘ Won aerial duel. | 196 302 |
| Ariel duels lost ⓘ Lost aerial duel. | 233 263 |
| 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. | 606 669 |
| 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. | 308 343 |
| 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. | 502 612 |
| 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. | 302 294 |
| Tackles | 1107 1322 |
| Clearances by foot | 389 510 |
| Ground duels total | 1107 1322 |
| Ground duels won % | 49.14 52.87 |
| Ground duels lost % | 50.86 47.13 |
| Ariel duels total | 429 565 |
| Ariel duels won % | 45.69 53.45 |
| Ariel duels lost % | 54.31 46.55 |
| Defensive stability ⓘ The ability to defend well | 435.4 718.7 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 600 688 |
| Succesful dribbles | 7319 8853 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 375 330 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 898 925 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1593 1913 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 627 1028 |
| 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 | 671 594 |
| 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 | 1696 1858 |
| 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 | 811 1305 |
| 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 | 299 452 |
| 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 | 784 955 |
| 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 | 466 629 |
| 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 | 807 903 |
| 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 | 614 719 |
| 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 | 894 1072 |
| 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 | 560 510 |
| 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 | 1438 1558 |
| 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 | 653 1040 |
| 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 | 234 393 |
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. | 36.36 50.41 |
| 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. | 36.36 50.41 |
| 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) | 1.16 1.71 |
| 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. | 5.34 9.12 |
| Xg with penalites ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a penalty | 2.34 3.9 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.14 1.01 |
| Open play Xg ⓘ Open play Xg value | 33.45 45.74 |
| Set piece Xg ⓘ Set piece Xg | 2.91 4.67 |
| Xg average per shot ⓘ Xg average per shot | 0.14 0.12 |
| Xg with foot ⓘ Xg with foot | 28.11 36.61 |
| 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. | -4.36 -0.41 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.34 0.88 |
| 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. | 34.02 46.51 |
| 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. | -0.57 -0.78 |
| 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. | -0.16 0.29 |
| 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. | 1.11 -3.8 |
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