ACF Fiorentina vs Torino FC: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – ACF Fiorentina or Torino FC? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
Italy 
Serie A Italy Serie A 
Analyse Analyse Head to Head Matches
Next Encounter Prediction
ACF Fiorentina vs. Torino FC - Who Is Better?
ACF Fiorentina has a 1vs1 Score of 62.42 while Torino FC has a 1vs1 Score of 59.51, showing which team is performing better this season. View ACF Fiorentina's Position in 1vs1 Best Team Ranking | View Torino FC's Position in 1vs1 Best Team Ranking
Torino FC has won 745 ground duels versus 587 for ACF Fiorentina, with Torino FC ranking 4 and ACF Fiorentina ranking 20 in the league for ground duels won. See Full Ground duels won Ranking
ACF Fiorentina has accumulated 37.61 expected goals against while Torino FC faces 36.54, with ACF Fiorentina ranking 17 and Torino FC ranking 16 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals  | 25 22 |
| Goals | 1.09 0.96 |
| Shot at goal number ⓘ Number of shots. | 297 264 |
| Shots on Goal | 189 178 |
| Goals conceeded | 36 40 |
| Goals conceeded | 1.57 1.74 |
| Matches won | 3 7 |
| Matches lost | 12 11 |
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 ACF Fiorentina`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| FIO | TOR | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
ACF Fiorentina creates 2 clear goal-scoring opportunities compared to Torino FC's 4 - highlighting their ability to fashion high-quality chances
Torino FC records 86 shots that miss the target completely versus ACF Fiorentina's 108 - showcasing their shooting accuracy variance
ACF Fiorentina completes 1446 passes from the right flank while Torino FC manages 1544 - exposing their right-sided distribution patterns
Compare Yourself
ACF Fiorentina Compare ACF Fiorentina
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Match Prediction
League Stats
ACF Fiorentina’s and Torino FC’s Total Squad Salary
Salary Stats
#1
Jacopo Fazzini
0
No.
Player
Value
#1
Jacopo Fazzini
0
#2
Dodo
0
#3
Pablo Mari
0
#4
David de Gea
0
#5
Nicolo Fagioli
0
#6
Simon Sohm
0
#7
Marin Pongracic
0
#8
Mattia Viti
0
#9
Fabiano Parisi
0
#10
Eddy Kouadio
0
#11
Edin Dzeko
0
#12
Tariq Lamptey
0
#13
Hans Nicolussi Caviglia
0
#14
Niccolo Fortini
0
#15
Abdelhamid Sabiri
0
#16
Amir Richardson
0
#17
Christian Kouame
0
#18
Giovanni Fabbian
0
#19
Jack Harrison
0
#20
Manor Solomon
0
#21
Luca Ranieri
0
#22
Pietro Comuzzo
1
#23
Robin Gosens
1
#24
Marco Brescianini
1
#25
Roberto Piccoli
1
#26
Moise Kean
1
#27
Cher Ndour
1
#28
Albert Gudmundsson
1
#29
Rolando Mandragora
2
#1
Mattia Viti
0
#2
Eddy Kouadio
0
#3
Edin Dzeko
0
#4
Niccolo Fortini
0
No.
Player
Value
#1
Mattia Viti
0
#2
Eddy Kouadio
0
#3
Edin Dzeko
0
#4
Niccolo Fortini
0
#5
Abdelhamid Sabiri
0
#6
Giovanni Fabbian
0
#7
Jack Harrison
0
#8
Christian Kouame
1
#9
Amir Richardson
2
#10
Manor Solomon
2
#11
Tariq Lamptey
2
#12
Marco Brescianini
3
#13
Moise Kean
5
#14
David de Gea
6
#15
Robin Gosens
6
#16
Fabiano Parisi
8
#17
Jacopo Fazzini
8
#18
Nicolo Fagioli
10
#19
Pablo Mari
10
#20
Roberto Piccoli
10
#21
Hans Nicolussi Caviglia
10
#22
Albert Gudmundsson
11
#23
Marin Pongracic
11
#24
Rolando Mandragora
12
#25
Luca Ranieri
14
#26
Pietro Comuzzo
15
#27
Simon Sohm
15
#28
Dodo
19
#29
Cher Ndour
24
#1
Mattia Viti
0
#2
Eddy Kouadio
0
#3
Edin Dzeko
0
#4
Niccolo Fortini
0
No.
Player
Value
#1
Mattia Viti
0
#2
Eddy Kouadio
0
#3
Edin Dzeko
0
#4
Niccolo Fortini
0
#5
Abdelhamid Sabiri
0
#6
Giovanni Fabbian
0
#7
Jack Harrison
0
#8
Christian Kouame
1
#9
Tariq Lamptey
1
#10
Amir Richardson
3
#11
David de Gea
3
#12
Moise Kean
3
#13
Marco Brescianini
3
#14
Roberto Piccoli
4
#15
Manor Solomon
6
#16
Pablo Mari
8
#17
Jacopo Fazzini
9
#18
Pietro Comuzzo
15
#19
Robin Gosens
18
#20
Simon Sohm
19
#21
Fabiano Parisi
20
#22
Hans Nicolussi Caviglia
23
#23
Cher Ndour
25
#24
Rolando Mandragora
26
#25
Marin Pongracic
28
#26
Luca Ranieri
30
#27
Albert Gudmundsson
34
#28
Nicolo Fagioli
45
#29
Dodo
98
#1
Moise Kean
1.92
#2
Roberto Piccoli
1.6
#3
Rolando Mandragora
1.26
#4
Albert Gudmundsson
1.18
No.
Player
Value
#1
Moise Kean
2
#2
Roberto Piccoli
2
#3
Rolando Mandragora
1
#4
Albert Gudmundsson
1
#5
Cher Ndour
1
#6
Marco Brescianini
1
#7
Robin Gosens
1
#8
Dodo
0
#9
Luca Ranieri
0
#10
Pietro Comuzzo
0
#11
Fabiano Parisi
0
#12
Hans Nicolussi Caviglia
0
#13
Nicolo Fagioli
0
#14
Jacopo Fazzini
0
#15
Marin Pongracic
0
#16
Simon Sohm
0
#17
Manor Solomon
0
#18
Pablo Mari
0
#19
Amir Richardson
0
#20
David de Gea
0
#21
Mattia Viti
0
#22
Eddy Kouadio
0
#23
Edin Dzeko
0
#24
Tariq Lamptey
0
#25
Niccolo Fortini
0
#26
Abdelhamid Sabiri
0
#27
Christian Kouame
0
#28
Giovanni Fabbian
0
#29
Jack Harrison
0
Salary Stats
#1
Emirhan Ilkhan
0
#2
Gvidas Gineitis
0
#3
Cristiano Biraghi
0
#4
Adrien Tameze
0
No.
Player
Value
#1
Emirhan Ilkhan
0
#2
Gvidas Gineitis
0
#3
Cristiano Biraghi
0
#4
Adrien Tameze
0
#5
Tino Anjorin
0
#6
Adam Masina
0
#7
Zakaria Aboukhlal
0
#8
Marcus Pedersen
0
#9
Franco Israel
0
#10
Cyril Ngonge
0
#11
Valentino Lazaro
0
#12
Kristjan Asllani
0
#13
Ivan Ilic
0
#14
Ardian Ismajli
0
#15
Niels Nkounkou
0
#16
Alieu Njie
0
#17
Ali Dembele
0
#18
Alberto Paleari
0
#19
Rafa Obrador
0
#20
Matteo Prati
0
#21
Luca Marianucci
0
#22
Sandro Kulenovic
0
#23
Duvan Zapata
0
#24
Guillermo Maripan
0
#25
Saul Coco
1
#26
Cesare Casadei
1
#27
Che Adams
1
#28
Giovanni Simeone
2
#29
Nikola Vlasic
2
#1
Emirhan Ilkhan
0
#2
Tino Anjorin
0
#3
Marcus Pedersen
0
#4
Franco Israel
0
No.
Player
Value
#1
Emirhan Ilkhan
0
#2
Tino Anjorin
0
#3
Marcus Pedersen
0
#4
Franco Israel
0
#5
Cyril Ngonge
0
#6
Kristjan Asllani
0
#7
Niels Nkounkou
0
#8
Alieu Njie
0
#9
Ali Dembele
0
#10
Alberto Paleari
0
#11
Rafa Obrador
0
#12
Matteo Prati
0
#13
Luca Marianucci
0
#14
Sandro Kulenovic
0
#15
Ivan Ilic
3
#16
Cristiano Biraghi
5
#17
Duvan Zapata
6
#18
Giovanni Simeone
7
#19
Ardian Ismajli
10
#20
Guillermo Maripan
10
#21
Che Adams
11
#22
Cesare Casadei
13
#23
Zakaria Aboukhlal
14
#24
Adam Masina
14
#25
Nikola Vlasic
16
#26
Gvidas Gineitis
16
#27
Saul Coco
20
#28
Valentino Lazaro
21
#29
Adrien Tameze
31
#1
Emirhan Ilkhan
0
#2
Tino Anjorin
0
#3
Marcus Pedersen
0
#4
Franco Israel
0
No.
Player
Value
#1
Emirhan Ilkhan
0
#2
Tino Anjorin
0
#3
Marcus Pedersen
0
#4
Franco Israel
0
#5
Cyril Ngonge
0
#6
Kristjan Asllani
0
#7
Niels Nkounkou
0
#8
Alieu Njie
0
#9
Ali Dembele
0
#10
Alberto Paleari
0
#11
Rafa Obrador
0
#12
Matteo Prati
0
#13
Sandro Kulenovic
0
#14
Luca Marianucci
2
#15
Duvan Zapata
2
#16
Adam Masina
5
#17
Giovanni Simeone
9
#18
Zakaria Aboukhlal
14
#19
Cristiano Biraghi
15
#20
Che Adams
16
#21
Guillermo Maripan
17
#22
Ivan Ilic
18
#23
Ardian Ismajli
20
#24
Cesare Casadei
22
#25
Saul Coco
28
#26
Gvidas Gineitis
28
#27
Adrien Tameze
41
#28
Nikola Vlasic
44
#29
Valentino Lazaro
75
#1
Giovanni Simeone
1.73
#2
Nikola Vlasic
1.58
#3
Che Adams
1.53
#4
Cesare Casadei
1.06
No.
Player
Value
#1
Giovanni Simeone
2
#2
Nikola Vlasic
2
#3
Che Adams
2
#4
Cesare Casadei
1
#5
Duvan Zapata
1
#6
Guillermo Maripan
1
#7
Saul Coco
0
#8
Valentino Lazaro
0
#9
Zakaria Aboukhlal
0
#10
Ardian Ismajli
0
#11
Adrien Tameze
0
#12
Gvidas Gineitis
0
#13
Cristiano Biraghi
0
#14
Emirhan Ilkhan
0
#15
Tino Anjorin
0
#16
Adam Masina
0
#17
Marcus Pedersen
0
#18
Franco Israel
0
#19
Cyril Ngonge
0
#20
Kristjan Asllani
0
#21
Ivan Ilic
0
#22
Niels Nkounkou
0
#23
Alieu Njie
0
#24
Ali Dembele
0
#25
Alberto Paleari
0
#26
Rafa Obrador
0
#27
Matteo Prati
0
#28
Luca Marianucci
0
#29
Sandro Kulenovic
0
ACF Fiorentina: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Very Good Stats
These are the areas where ACF Fiorentina consistently performs at a high level, placing him near the top of the league.
#2
ACF Fiorentina
1
Average Stats
These stats show ACF Fiorentina`s solid, reliable contributions that are in line with the majority of players in his position.
#11
ACF Fiorentina
879
#12
U.S. Sassuolo
874
#13
Udinese
821
#14
Lecce
812
Weak Stats
These are the areas where ACF Fiorentina`s performance falls below the league average.
Torino FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Torino FC is among the very best, setting the standard for the league.
#1
Torino FC
0.21
#2
ACF Fiorentina
0.18
#3
Cagliari Calcio
0.18
#4
Udinese
0.18
Very Good Stats
These are the areas where Torino FC consistently performs at a high level, placing him near the top of the league.
#2
Torino FC
999
#3
Genua CFC
928
#4
Pisa Sporting Club
903
#5
Atalanta
902
Average Stats
These stats show Torino FC`s solid, reliable contributions that are in line with the majority of players in his position.
#13
Torino FC
2720
#14
Cremonese
2630
#15
Genua CFC
2506
#16
Udinese
2425
#13
Torino FC
466
#14
Cremonese
452
#15
Cagliari Calcio
422
#16
Parma Calcio 1913
416
Weak Stats
These are the areas where Torino FC`s performance falls below the league average.
#16
Torino FC
318
#17
Napoli
316
#18
AS Roma
303
#19
Juventus
278
No.
Player
Value
#16
Torino FC
318
#17
Napoli
316
#18
AS Roma
303
#19
Juventus
278
#20
Hellas Verona
278
Performance per season
Expected Threat & Involvement Analysis
ACF Fiorentina has an Expected Threat of 4727.77 - ranking 8 and measuring their ability to advance the ball into dangerous positions, while Torino FC generates 3890.36 Expected Threat - sitting at 12, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
ACF Fiorentina has an Expected Threat against of 412.02 - placing them 12 defensively, indicating how much dangerous ball progression they allow opponents, while Torino FC concedes 449.47 Expected Threat against - ranking 9, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
ACF Fiorentina recorded 175 Critical ball losses - ranking 15 in possession security, meaning they've given the ball away in trouble spots, while Torino FC suffered 156 such losses - sitting at 7, 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. | 4727.77 3890.36 |
| 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. | 412.02 449.47 |
| 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. | 175 156 |
| 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. | 1135 1152 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.45 1.47 |
Ratings and Scores
Compare ACF Fiorentina & Torino FC`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, | 62.42 59.51 |
| 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. | 59.48 58.43 |
| 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 | 61.72 58.52 |
| Offensive interventions | 122.04 136.13 |
Goals & Assists
| Goals | 25 22 |
| Assists ⓘ Creating goals, playing the final pass. | 16 18 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 1 |
| Goals by head ⓘ Goals by head | 3 3 |
| Penalty goals ⓘ Penalty goals | 5 3 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 16 15 |
| Shots on Goal | 189 178 |
| 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. | 5.93 6 |
Goals & Shots conceded
| Goals conceeded | 36 40 |
| Goals by head conceeded | 8 6 |
| Goals by foot conceeded | 24 30 |
| Shots on goal conceeded | 204 192 |
| Goals per 90 min conceeded | 1.57 1.74 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 3691 3454 |
| 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 | 2846 2720 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 6848 5259 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 119 119 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 175 200 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 300 295 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 26 19 |
| 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. | 685 576 |
| 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. | 1924 1667 |
| 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. | 4504 3570 |
| 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. | 1475 1188 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 78 92 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1446 1544 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1426 1168 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 2436 1781 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 1585 1203 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1773 1397 |
| 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. | 1135 1152 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.99 89.33 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 65.03 62.63 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.09 84.05 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 43.33 37.25 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 45.34 41.58 |
| 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. | 67.35 61.6 |
| 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. | 82.05 73.86 |
| 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. | 86.3 81.34 |
| 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. | 72.77 68.95 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 40.63 52.57 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 77.83 73.37 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 82.98 77.31 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.24 74.61 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 82.33 75.79 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 78.42 73.84 |
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. | 6535 4658 |
| 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". | 1450 1610 |
| 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. | 403 422 |
| 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" | 760 999 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 962 1090 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 681 772 |
| 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. | 591 584 |
| 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". | 589 710 |
| Total touches in phase Set Pieces | 994 1006 |
| Total touches in phase Second ball | 1349 1709 |
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. | 175 156 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 596 628 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 64 71 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 211 281 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 375 481 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 33 56 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 34 32 |
| 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’ | 332 359 |
| 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 | 421 590 |
| 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 | 715 819 |
| 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’ | 552 535 |
| 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’ | 114 83 |
| Ball losses total | 2134 2386 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2807 3131 |
| 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 | 257 248 |
| 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 | 654 808 |
| 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 | 992 1163 |
| 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 | 432 382 |
| 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 | 94 88 |
Defensive
| Ground duels won ⓘ Won ground duel. | 587 745 |
| Ground duels lost ⓘ Lost ground duel. | 587 715 |
| Ariel duels won ⓘ Won aerial duel. | 253 359 |
| Ariel duels lost ⓘ Lost aerial duel. | 315 370 |
| 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. | 657 714 |
| 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. | 303 381 |
| 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. | 566 696 |
| 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. | 331 381 |
| Tackles | 1174 1460 |
| Clearances by foot | 425 532 |
| Ground duels total | 1174 1460 |
| Ground duels won % | 50 51.03 |
| Ground duels lost % | 50 48.97 |
| Ariel duels total | 568 729 |
| Ariel duels won % | 44.54 49.25 |
| Ariel duels lost % | 55.46 50.75 |
| Defensive stability ⓘ The ability to defend well | 446.1 710.7 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 661 511 |
| Succesful dribbles | 7255 5923 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 376 318 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 875 841 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1641 1461 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 591 583 |
| 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 | 563 487 |
| 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 | 1729 1540 |
| 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 | 879 893 |
| 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 | 256 259 |
| 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 | 658 799 |
| 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 | 566 487 |
| 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 | 858 725 |
| 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 | 596 466 |
| 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 | 843 777 |
| 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 | 468 397 |
| 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 | 1430 1315 |
| 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 | 668 731 |
| 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 | 208 214 |
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. | 34.81 30.78 |
| 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. | 34.81 30.78 |
| 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) | 1.79 1.95 |
| 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. | 5.65 5.9 |
| 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 | 3.9 3.9 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.45 1.47 |
| Open play Xg ⓘ Open play Xg value | 29.8 26.59 |
| Set piece Xg ⓘ Set piece Xg | 4.9 4.2 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.12 |
| Xg with foot ⓘ Xg with foot | 24.16 20.68 |
| 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. | -10.81 -9.78 |
| 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. | -2.65 -2.9 |
| 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. | 30.91 26.89 |
| 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. | -1 -0.3 |
| 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. | 0.21 -0.95 |
| 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. | -2.19 -0.61 |
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