Country 
Italy
Italy League 
Serie A
Serie A Country Italy
Italy League Serie A
Serie A Change team
Overview
Analyse Predictions
Standings
Rankings
Salary
History
Overview
Analyse Predictions
Standings
Rankings
Salary
History
Head to Head Matches
3 - 1
5 - 1
1 - 0
Next Encounter Prediction
25th Apr 22:00
Win Draw Win W D W
0% 0% 0%
Up To Date Stats
ACF Fiorentina generates an expected goals total of 17.51 compared to U.S. Sassuolo's 19.32 - quantifying the quality of their attacking chances U.S. Sassuolo has made 1705 ball recoveries versus ACF Fiorentina's 1709 - showcasing their pressing intensity ACF Fiorentina has suffered 105 critical possession losses while U.S. Sassuolo has 90 - highlighting risk management Key Stats
| Metric | Value |
|---|---|
| Goals  | 11 19 |
| Goals Per 90 | 0.79 1.36 |
| Shot at goal number ⓘ Number of shots. | 145 151 |
| Shots on Goal | 87 100 |
| Goals conceeded | 24 16 |
| Goals conceeded Per 90 | 1.71 1.14 |
| Matches won | 0 6 |
| Matches lost | 8 6 |
View All 5 more
Scores
1vs1 Index
Ranks #19 in Serie A Serie A 
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,
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, Offensive Power
Ranks #16 in Serie A Serie A 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 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 Defensive Power
Ranks #19 in Serie A Serie A The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values.
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
Ranks #14 in Serie A Serie A 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.
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. 1vs1 Index
Ranks #10 in Serie A Serie A 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,
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, Offensive Power
Ranks #8 in Serie A Serie A 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 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 Defensive Power
Ranks #10 in Serie A Serie A The 1vs1 Performance offensive Index is a sophisticated algorithm designed to assess the performance of individual players, comprising a set of 11 values.
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
Ranks #11 in Serie A Serie A 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.
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
Switch team
ACF Fiorentina
U.S. Sassuolo
Shooting Data & xG Analysis
Choose a player
ACF Fiorentina
U.S. Sassuolo
__.__.____ (Round _)
All ACF Fiorentina`s shots on this match:
Type of event -
Minute -
xG for this event -
Play the whole passing chain
-
This team has no shots this season.
Strengths & Weaknesses
Chart profile
Full Profile
Offense
Defense
See data in numbers
Data in numbers
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| FIO | SAS | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
ACF Fiorentina completes 70 diagonal passes compared to U.S. Sassuolo's 85 - revealing their ambition in switching play across the field U.S. Sassuolo loses possession through 45 failed diagonal attempts versus ACF Fiorentina's 47 - highlighting their risk management with ambitious distribution ACF Fiorentina records 521 offensive actions from central areas compared to U.S. Sassuolo's 461 - showcasing their tactical preferences through the middle Key Stats
| Metric | Value |
|---|---|
| Goals | 11 19 |
| Goals Per 90 | 0.79 1.36 |
| Shot at goal number ⓘ Number of shots. | 145 151 |
| Shots on Goal | 87 100 |
| Goals conceeded | 24 16 |
| Goals conceeded Per 90 | 1.71 1.14 |
| Matches won | 0 6 |
| Matches lost | 8 6 |
View All 5 more
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Match Prediction
22:00 25th Apr
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ACF Fiorentina
U.S. Sassuolo
#
Team
1
2
4
7
10
11
12
13
15
17
PTS
MP
W
D
L
G
GD
Form
31
14
9
4
1
22:11
11
W
W
W
D
W
31
14
10
1
3
22:12
10
W
W
W
L
D
30
14
10
0
4
32:13
19
W
W
L
W
W
27
14
9
0
5
15:8
7
L
L
W
W
L
25
14
7
4
3
23:12
11
D
L
W
W
W
24
14
6
6
2
19:11
8
L
W
W
D
D
23
14
6
5
3
18:14
4
L
W
D
D
W
20
14
6
2
6
19:17
2
W
L
D
W
L
20
14
5
5
4
18:17
1
W
W
L
L
L
19
14
5
4
5
16:11
5
D
L
W
L
W
18
14
5
3
6
15:22
-7
L
W
L
L
W
16
14
3
7
4
17:17
0
L
W
L
L
L
16
15
4
4
7
11:19
-8
W
L
W
L
D
14
14
3
5
6
14:19
-5
W
L
D
D
L
14
14
3
5
6
15:21
-6
W
W
D
D
W
14
14
3
5
6
10:17
-7
W
L
W
D
L
14
14
3
5
6
14:26
-12
L
L
L
D
D
10
15
1
7
7
10:20
-10
L
L
L
D
W
9
14
1
6
7
11:21
-10
W
L
L
D
L
6
14
0
6
8
11:24
-13
L
L
D
D
L
#
Team
1
2
4
7
10
11
12
13
15
17
PTS
MP
W
D
L
G
GD
Form
31
14
9
4
1
22:11
11
W
W
W
D
W
31
14
10
1
3
22:12
10
W
W
W
L
D
30
14
10
0
4
32:13
19
W
W
L
W
W
27
14
9
0
5
15:8
7
L
L
W
W
L
25
14
7
4
3
23:12
11
D
L
W
W
W
24
14
6
6
2
19:11
8
L
W
W
D
D
23
14
6
5
3
18:14
4
L
W
D
D
W
20
14
6
2
6
19:17
2
W
L
D
W
L
20
14
5
5
4
18:17
1
W
W
L
L
L
19
14
5
4
5
16:11
5
D
L
W
L
W
18
14
5
3
6
15:22
-7
L
W
L
L
W
16
14
3
7
4
17:17
0
L
W
L
L
L
16
15
4
4
7
11:19
-8
W
L
W
L
D
14
14
3
5
6
14:19
-5
W
L
D
D
L
14
14
3
5
6
15:21
-6
W
W
D
D
W
14
14
3
5
6
10:17
-7
W
L
W
D
L
14
14
3
5
6
14:26
-12
L
L
L
D
D
10
15
1
7
7
10:20
-10
L
L
L
D
W
9
14
1
6
7
11:21
-10
W
L
L
D
L
6
14
0
6
8
11:24
-13
L
L
D
D
L
ACF Fiorentina’s and U.S. Sassuolo’s Total Squad Salary
Filters
Weekly Salary
Annual Salary
ACF Fiorentina
U.S. Sassuolo
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ACF Fiorentina
U.S. Sassuolo
Salary Stats
Goals per million salary
#1
Cher Ndour
0
Goals per million salary
No.
Player
Value
#1
Cher Ndour
0
#2
Jacopo Fazzini
0
#3
Dodo
0
#4
Pietro Comuzzo
0
#5
Pablo Mari
0
#6
David de Gea
0
#7
Nicolo Fagioli
0
#8
Simon Sohm
0
#9
Marin Pongracic
0
#10
Mattia Viti
0
#11
Fabiano Parisi
0
#12
Eddy Kouadio
0
#13
Roberto Piccoli
0
#14
Edin Dzeko
0
#15
Tariq Lamptey
0
#16
Hans Nicolussi Caviglia
0
#17
Niccolo Fortini
0
#18
Abdelhamid Sabiri
0
#19
Amir Richardson
0
#20
Christian Kouame
0
#21
Robin Gosens
0
#22
Luca Ranieri
0
#23
Moise Kean
1
#24
Albert Gudmundsson
1
#25
Rolando Mandragora
1
Goals against per million salary
#1
Cher Ndour
0
#2
Jacopo Fazzini
0
#3
Pietro Comuzzo
0
#4
Simon Sohm
0
See Full Goals against per million salary Ranking
Goals against per million salary
No.
Player
Value
#1
Cher Ndour
0
#2
Jacopo Fazzini
0
#3
Pietro Comuzzo
0
#4
Simon Sohm
0
#5
Mattia Viti
0
#6
Eddy Kouadio
0
#7
Roberto Piccoli
0
#8
Edin Dzeko
0
#9
Hans Nicolussi Caviglia
0
#10
Niccolo Fortini
0
#11
Abdelhamid Sabiri
0
#12
Amir Richardson
1
#13
Christian Kouame
1
#14
Tariq Lamptey
2
#15
Fabiano Parisi
4
#16
Robin Gosens
4
#17
Marin Pongracic
7
#18
Albert Gudmundsson
7
#19
Nicolo Fagioli
7
#20
Moise Kean
8
#21
Rolando Mandragora
8
#22
Pablo Mari
9
#23
Luca Ranieri
9
#24
David de Gea
11
#25
Dodo
13
Initiate dangerous attacks per million salary
#1
Cher Ndour
0
#2
Jacopo Fazzini
0
#3
Pietro Comuzzo
0
#4
Simon Sohm
0
See Full Initiate dangerous attacks per million salary Ranking
Initiate dangerous attacks per million salary
No.
Player
Value
#1
Cher Ndour
0
#2
Jacopo Fazzini
0
#3
Pietro Comuzzo
0
#4
Simon Sohm
0
#5
Mattia Viti
0
#6
Eddy Kouadio
0
#7
Roberto Piccoli
0
#8
Edin Dzeko
0
#9
Hans Nicolussi Caviglia
0
#10
Niccolo Fortini
0
#11
Abdelhamid Sabiri
0
#12
Christian Kouame
0
#13
Amir Richardson
1
#14
Tariq Lamptey
1
#15
Moise Kean
5
#16
Fabiano Parisi
5
#17
David de Gea
7
#18
Pablo Mari
8
#19
Albert Gudmundsson
10
#20
Robin Gosens
11
#21
Marin Pongracic
14
#22
Rolando Mandragora
15
#23
Nicolo Fagioli
16
#24
Luca Ranieri
22
#25
Dodo
46
Xg per million salary
#1
Moise Kean
2.12
#2
Rolando Mandragora
0.76
#3
Albert Gudmundsson
0.62
#4
Robin Gosens
0.4
See Full Xg per million salary Ranking
Xg per million salary
No.
Player
Value
#1
Moise Kean
2
#2
Rolando Mandragora
1
#3
Albert Gudmundsson
1
#4
Robin Gosens
0
#5
Dodo
0
#6
Luca Ranieri
0
#7
Fabiano Parisi
0
#8
Marin Pongracic
0
#9
Pablo Mari
0
#10
Amir Richardson
0
#11
Nicolo Fagioli
0
#12
Cher Ndour
0
#13
Jacopo Fazzini
0
#14
Pietro Comuzzo
0
#15
David de Gea
0
#16
Simon Sohm
0
#17
Mattia Viti
0
#18
Eddy Kouadio
0
#19
Roberto Piccoli
0
#20
Edin Dzeko
0
#21
Tariq Lamptey
0
#22
Hans Nicolussi Caviglia
0
#23
Niccolo Fortini
0
#24
Abdelhamid Sabiri
0
#25
Christian Kouame
0
Salary Stats
Goals per million salary
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Sebastian Walukiewicz
0
#4
Nicholas Pierini
0
See Full Goals per million salary Ranking
Goals per million salary
No.
Player
Value
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Sebastian Walukiewicz
0
#4
Nicholas Pierini
0
#5
Stefano Turati
0
#6
Andrea Ghion
0
#7
Fali Cande
0
#8
Luca Moro
0
#9
Daniel Boloca
0
#10
Tarik Muharemovic
0
#11
Josh Doig
0
#12
Alieu Fadera
0
#13
Aster Vranckx
0
#14
Arijanet Muric
0
#15
Edoardo Iannoni
0
#16
Jay Idzes
0
#17
Kristian Thorstvedt
0
#18
Woyo Coulibaly
0
#19
Walid Cheddira
0
#20
Nemanja Matic
0
#21
Domenico Berardi
1
#22
Cristian Volpato
1
#23
Andrea Pinamonti
1
#24
Ismael Kone
1
#25
Armand Lauriente
2
Goals against per million salary
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Nicholas Pierini
0
#4
Stefano Turati
0
See Full Goals against per million salary Ranking
Goals against per million salary
No.
Player
Value
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Nicholas Pierini
0
#4
Stefano Turati
0
#5
Andrea Ghion
0
#6
Fali Cande
0
#7
Luca Moro
0
#8
Tarik Muharemovic
0
#9
Josh Doig
0
#10
Alieu Fadera
0
#11
Edoardo Iannoni
0
#12
Jay Idzes
0
#13
Kristian Thorstvedt
0
#14
Woyo Coulibaly
0
#15
Walid Cheddira
0
#16
Nemanja Matic
2
#17
Aster Vranckx
2
#18
Domenico Berardi
3
#19
Andrea Pinamonti
4
#20
Daniel Boloca
5
#21
Cristian Volpato
8
#22
Arijanet Muric
9
#23
Ismael Kone
10
#24
Sebastian Walukiewicz
14
#25
Armand Lauriente
14
Initiate dangerous attacks per million salary
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Nicholas Pierini
0
#4
Stefano Turati
0
See Full Initiate dangerous attacks per million salary Ranking
Initiate dangerous attacks per million salary
No.
Player
Value
#1
Luca Lipani
0
#2
Filippo Romagna
0
#3
Nicholas Pierini
0
#4
Stefano Turati
0
#5
Andrea Ghion
0
#6
Fali Cande
0
#7
Luca Moro
0
#8
Tarik Muharemovic
0
#9
Josh Doig
0
#10
Alieu Fadera
0
#11
Edoardo Iannoni
0
#12
Jay Idzes
0
#13
Kristian Thorstvedt
0
#14
Woyo Coulibaly
0
#15
Walid Cheddira
0
#16
Andrea Pinamonti
2
#17
Aster Vranckx
3
#18
Daniel Boloca
5
#19
Domenico Berardi
8
#20
Arijanet Muric
11
#21
Nemanja Matic
16
#22
Cristian Volpato
30
#23
Ismael Kone
36
#24
Armand Lauriente
41
#25
Sebastian Walukiewicz
69
Xg per million salary
#1
Armand Lauriente
1.33
#2
Andrea Pinamonti
1.21
#3
Ismael Kone
0.81
#4
Cristian Volpato
0.63
See Full Xg per million salary Ranking
Xg per million salary
No.
Player
Value
#1
Armand Lauriente
1
#2
Andrea Pinamonti
1
#3
Ismael Kone
1
#4
Cristian Volpato
1
#5
Domenico Berardi
1
#6
Daniel Boloca
0
#7
Nemanja Matic
0
#8
Sebastian Walukiewicz
0
#9
Arijanet Muric
0
#10
Aster Vranckx
0
#11
Luca Lipani
0
#12
Filippo Romagna
0
#13
Nicholas Pierini
0
#14
Stefano Turati
0
#15
Andrea Ghion
0
#16
Fali Cande
0
#17
Luca Moro
0
#18
Tarik Muharemovic
0
#19
Josh Doig
0
#20
Alieu Fadera
0
#21
Edoardo Iannoni
0
#22
Jay Idzes
0
#23
Kristian Thorstvedt
0
#24
Woyo Coulibaly
0
#25
Walid Cheddira
0
Choose a player
ACF Fiorentina
U.S. Sassuolo
ACF Fiorentina: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where ACF Fiorentina is among the very best, setting the standard for the league.
Average Stats
These stats show ACF Fiorentina`s solid, reliable contributions that are in line with the majority of players in his position.
Number of offensive actions from the left wing
#12
ACF Fiorentina
506
#13
Udinese
456
#14
Torino FC
451
#15
Lecce
448
See Full Number of offensive actions from the left wing Ranking
Number of offensive actions from the left wing
Successful passes by action header
#12
ACF Fiorentina
233
Successful passes by action header
Weak Stats
These are the areas where ACF Fiorentina`s performance falls below the league average.
U.S. Sassuolo: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where U.S. Sassuolo is among the very best, setting the standard for the league.
Goals by action one vs one against gk
#1
U.S. Sassuolo
5
#2
Cremonese
4
#3
Inter Milan
4
#4
Parma Calcio 1913
3
See Full Goals by action one vs one against gk Ranking
Goals by action one vs one against gk
Very Good Stats
These are the areas where U.S. Sassuolo consistently performs at a high level, placing him near the top of the league.
Shot xg by action one vs one against gk
#2
U.S. Sassuolo
3.87
#3
Inter Milan
3.28
#4
Juventus
3.05
#5
Cagliari Calcio
2.95
See Full Shot xg by action one vs one against gk Ranking
Shot xg by action one vs one against gk
Xg average per shot
#2
U.S. Sassuolo
0.13
Xg average per shot
Average Stats
These stats show U.S. Sassuolo`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where U.S. Sassuolo`s performance falls below the league average.
Performance per season
Switch team
ACF Fiorentina
U.S. Sassuolo
Filters
Points
Games Won
Games Drew
Games Won
Goals Scored
Goals Conceded
Expected Threat & Involvement Analysis
ACF Fiorentina has an Expected Threat of 2139.13 - measuring their ability to advance the ball into dangerous positions, while U.S. Sassuolo generates 2206.73 Expected Threat - showing which team better progresses play toward scoring opportunities ACF Fiorentina has an Expected Threat against of 238.7 - indicating how much dangerous ball progression they allow opponents, while U.S. Sassuolo concedes 239.11 Expected Threat against - revealing which defense better restricts opponent advances into threatening areas ACF Fiorentina recorded 105 Critical ball losses meaning they've given the ball away in trouble spots, while U.S. Sassuolo suffered 90 such losses - highlighting which team is more vulnerable in possession under pressure Ratings and Scores
Expected Threat
Ranks #14 in Serie A Serie A
Expected Threat Against
Ranks #13 in Serie A Serie A
Initiate dangerous attacks
Ranks #16 in Serie A Serie A
1vs1 Index
Ranks #19 in Serie A Serie A
Expected Threat
Ranks #13 in Serie A Serie A
Expected Threat Against
Ranks #12 in Serie A Serie A
Initiate dangerous attacks
Ranks #10 in Serie A Serie A
1vs1 Index
Ranks #10 in Serie A Serie A
Compare ACF Fiorentina & U.S. Sassuolo`s Performance
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1VI
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, 
1ID
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. 1IO
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 OFI
Offensive interventions ATT
Attacking Threat Goals & Assists
GOA
Goals ⓘ Goal ASS
Assists ⓘ Creating goals, playing the final pass. SAG
Shot at goal number ⓘ Number of shots. SAG
Shot at goal off target number ⓘ Number of shots Off Target. GBL
Goals by long distance shot ⓘ Goal after a shot from more than 22 metres GBA
Goals by action mid range shot ⓘ Goal from a shot / header between 10-22 metres GBA
Goals by action close range shot ⓘ Goal from a shot / header from less than 10 metres GBA
Goals by action one vs one against gk ⓘ Goals after a one versus one situation against the goalkeeper. GBA
Goals by action open goal shot GBH
Goals by head ⓘ Goals by head PEG
Penalty goals ⓘ Penalty goals GBF
Goals by freekick ⓘ Goals by freekick GBA
Goals by action corner ⓘ Goals by corner GBF
Goals by foot SOG
Shots on Goal SOG
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. PRE
Pre-assists ⓘ The pass before the assist FAG
Fastest goal LAG
Latest goal MOG
Most goals MGI
Most goals inside 6 yard box MHT
Most hat tricks OLS
Oldest scorer YOS
Youngest scorer MGO
Most goals over 30 years MGU
Most goals under 20 years SWB
Striker with best conversion FDG
Furthest distance goal SWW
Striker with worst conversion MSW
Most shots without goal MMP
Most missed penalites MBC
Most big chances missed MPP
Most pre-assists per 90 min MAP
Most assists per game ASP
Average scorer points per game MSP
Most scorer points total MGI
Most goals inside 6 yard box MCG
Most conceded goals LSO
Least shots on goal LEG
Least goals CHC
Chances created ⓘ An action (pass, cross, dribble) that results in a shot on goal in the subsequent action BIC
Big chances ⓘ A goal action (shot, header, free kick) that has an Xg value greater than 25%. GOA
Goals Goals & Shots conceded
GOC
Goals conceeded GBH
Goals by head conceeded GBF
Goals by foot conceeded GBF
Goals by freekick conceeded GBL
Goals by long distance shot conceeded PGC
Penalty goals conceeded SOG
Shots on goal conceeded SOG
Shots on goal / goal ratio conceeded GP9
Goals per 90 min conceeded Passing and Ball progression
EBU
Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) SOS
Sense of Space ⓘ Number of successful offensive actions in which a player is found as a receiver (dribblings, passes, crosses) and opponent players have been bypassed SUP
Successful passes ⓘ Pass that reaches the teammate. UNP
Unsuccessful passes ⓘ Pass that goes to the opponent or out of play. TSP
Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. TSP
Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. TSP
Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. SPB
Successful passes by action header ⓘ Pass that reaches the teammate. In this case a header. TSP
Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. TSP
Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. TSP
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. TSP
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. TSP
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. TSP
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. TSP
Total successful passes from opponents box ⓘ Pass that reaches the teammate. SPT
Successful passes to pitch position first third ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘1st third’ area to another area of the field. SPT
Successful passes to pitch position middle third ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘middle third’ area to another area of the field. SPT
Successful passes to pitch position final third ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘final third’ area to another area of the field. SPT
Successful passes to pitch position opponent box ⓘ Pass that reaches the other player. Here specifically: A pass IN the ‘opponent box’ area to another area of the field. TSP
Total successful passes from right wing ⓘ Pass that reaches the teammate. TSP
Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space TSP
Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. TSP
Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space TSP
Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. UPT
Unsuccessful passes to pitch position first third ⓘ Pass that goes to the opponent. Here the pass is intercepted by the opponent in the ‘first third’ area. UPT
Unsuccessful passes to pitch position middle third ⓘ Pass that goes to the opponent. Here, the pass is intercepted by the opponent in the ‘middle third’ area. UPT
Unsuccessful passes to pitch position final third ⓘ Pass that goes to the opponent. Here, the pass is intercepted by the opponent in the ‘last third’ area. UPT
Unsuccessful passes to pitch position opponent box ⓘ Pass that goes to the opponent. Here, the pass is intercepted by the opponent in the ‘opponent's box’. UPF
Unsuccessful passes from lane right wing ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘right wing’ area UPF
Unsuccessful passes from lane right half space ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘right half-space’ area UPF
Unsuccessful passes from lane center ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘centre’ area UPF
Unsuccessful passes from lane left half space ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘left half-space’ area UPF
Unsuccessful passes from lane left wing ⓘ Pass that goes to the opponent. Here specifically: the pass that is intercepted was played FROM the ‘left wing’ area IDA
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. SPI
Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. SPI
Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. SPI
Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. SPI
Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. SPI
Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. SPI
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. SPI
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. SPI
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. SPI
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. SPI
Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. SPI
Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space SPI
Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. SPI
Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. SPI
Succesful passes in % from right half space ⓘ Pass that reaches the teammate. SPI
Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space PA%
Passing accuracy % EXT
Expected Threat ETA
Expected Threat Against Ball contacts & phases of play
OFT
Offensive touches ⓘ Any touch on the ball where a teammate has previously been on the ball is called an offensive touch DET
Defensive touches ⓘ Any touch on the ball where an opposition player has previously been on the ball is called a defensive touch OTI
Offensive touches in pitch position opponent box ⓘ 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. OTI
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. OTI
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". OTI
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. OTI
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" DTB
Defensive touches by action loose ball regain ⓘ 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. in this case a regain of a lost ball. DTI
Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). DTI
Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). DTI
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. DTI
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". TTI
Total touches in phase Set Pieces TTI
Total touches in phase Second ball MIP
Most Involved Player Ball losses
BLB
Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass BLB
Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. BLB
Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. BLB
Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. BLB
Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. BLB
Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners BLI
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’ BLI
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 BLI
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 BLI
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’ BLI
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’ BLT
Ball losses total BL%
Ball losses % per game BL%
Ball losses % per game Ball regains
BRT
Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. BRI
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 BRF
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 BWN
Ball win number from pitch position middle third ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here middle third of pitch BWN
Ball win number from pitch position final third ⓘ Number of offensive ball recoveries. Here specifically: From which area was the pass played, which was then intercepted -> here frist third of pitch BRS
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 BRI
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 BRI
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 Defensive
CBL
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. GDW
Ground duels won ⓘ Won ground duel. GDL
Ground duels lost ⓘ Lost ground duel. ADW
Ariel duels won ⓘ Won aerial duel. ADL
Ariel duels lost ⓘ Lost aerial duel. INT
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. GRD
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. HED
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. BLO
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. TAC
Tackles TW%
Tackles won % TL%
Tackles lost % CBH
Clearances by head CBF
Clearances by foot GDT
Ground duels total GDW
Ground duels won % GDL
Ground duels lost % ADT
Ariel duels total ADW
Ariel duels won % ADL
Ariel duels lost % DWM
Defender with most fouls per game DWL
Defender with least fouls per game MOF
Most fouls DES
Defensive stability ⓘ The ability to defend well FOU
Fouled Dribbles
PRD
Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team DRT
Dribbles total SUD
Succesful dribbles Elimination actions & Pitch
NOO
Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. NOO
Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. NOO
Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third NOO
Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 NOO
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 xG
XGT
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. XLD
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) SXB
Shot xg by action mid range shot ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a middle range shot (betwenn 10-22 meters) SXB
Shot xg by action close range shot ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a close range shot (less than 10 meters) SXB
Shot xg by action one vs one against gk ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a one versus one against goalkeeper situation SXB
Shot xg by action open goal shot ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a long distance shot. XWH
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. XWP
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 SXB
Shot xg by action free kick ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a free kick. SXB
Shot xg by action corner ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a corner. XGR
Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. OPX
Open play Xg ⓘ Open play Xg value SPX
Set piece Xg ⓘ Set piece Xg XAP
Xg average per shot ⓘ Xg average per shot XAP
Xg average per game ⓘ Xg average per game XWF
Xg with foot ⓘ Xg with foot GTM
Goals total minus Xg total ⓘ 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. GMX
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. GMX
Goals minus Xg penalty ⓘ 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. GMX
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. GMX
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. GMX
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. MDG
Most difficult goal (xg) XTC
Xg total conceeded OPX
Open play xg conceeded SPX
Set piece xg conceeded Salary Stats
PPM
Points per million salary WMP
Won matches per million salary GPM
Goals per million salary GPM
Goals per million salary off ⓘ The sum of all goals scored by offensive players divided by their salary. GPM
Goals per million salary def ⓘ The sum of all goals scored by defensive players divided by their salary. GAP
Goals against per million salary ⓘ Goals conceded divided by salary IDA
Initiate dangerous attacks per million salary ⓘ Number of dangerous attacks divided by salary XPM
Xg per million salary APM
Assists per million salary SPP
Scorer points per million salary ASP
Avg salary per league PFA
Percentage from avg salary ⓘ Difference in per cent in relation to the average salary. Goalkeeper Stats
TAW
Tackles won PRG
Prevented goals ⓘ Post-shot xG: This is a statistical measure that estimates the likelihood of a shot being converted into a goal, based on factors like shot distance, angle, and the specific location of the shot on target. PLT
Passes leading to goal IDA
Initiating dangerous attacks EGA
Expected goals against DEI
Defensive index CLS
Clean sheets PG(
Prevented goals (absolute) PG(
Prevented goals (%) SST
Shots saved total SLP
Successful launches per game LDS
Long distance shots saved ⓘ Shot saved from more than 22 metres SDS
Short distance shots saved ⓘ Shot / header held from less than 10 metres PES
Penalities saved FRS
Freekicks saved HES
Headers saved MDS
Mid distance shots saved ⓘ Shot / header held between 10-22 metres UNP
Unsuccessfull passes SOG
Shots on goal / Goal ratio conceeded per 90 min Team Stats
MAP
Most away points MAW
Most away wins MHW
Most home wins LWS
Longest winning streak LLS
Longest loosing streak LNG
Longest no goal streak by team MLG
Most lost games YOT
Youngest team OLT
Oldest team PU2
Player under 20yrs max index total MAW
Matches won MAL
Matches lost MAT
Matches tied DRM
Draw matches GWT
Games won total Performance Trends
Select a trend category to explore metrics with significant changes, stable performance, or areas of concern.
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ACF Fiorentina
U.S. Sassuolo
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Shooting Data & xG Analysis
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ACF Fiorentina
U.S. Sassuolo
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Goals
Shot at goal number
Xg total
Assists
Successful passes
Progessive dribbles
Critical ball losses
Block
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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, | 59.38 69.83 |
| 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. Per 90 | 55.76 64.84 |
| 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 | 56.64 63.81 |
| Offensive interventions | 122.07 121.79 |
Goals & Assists
| Goals | 11 19 |
| Assists ⓘ Creating goals, playing the final pass. Per 90 | 5 17 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 2 1 |
| Goals by head ⓘ Goals by head | 1 2 |
| Penalty goals ⓘ Penalty goals | 4 2 |
| Goals by freekick ⓘ Goals by freekick Per 90 | 0 1 |
| Goals by foot | 6 14 |
| Shots on Goal | 87 100 |
| 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. | 5.42 9.41 |
Goals & Shots conceded
| Goals conceeded | 24 16 |
| Goals by head conceeded Per 90 | 5 4 |
| Goals by foot conceeded | 16 8 |
| Shots on goal conceeded | 124 117 |
| Goals per 90 min conceeded | 1.71 1.14 |
Passing and Ball progression
| Effectiveness Build up ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2112 2270 |
| Sense of Space ⓘ Number of successful offensive actions in which a player is found as a receiver (dribblings, passes, crosses) and opponent players have been bypassed Per 90 | 1687 1751 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 3604 3583 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 70 85 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 114 81 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. Per 90 | 172 175 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 15 20 |
| 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. | 413 371 |
| 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. | 1131 1070 |
| 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. | 2506 2394 |
| 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. | 656 769 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 37 44 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 729 914 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 718 738 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1418 1141 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 856 771 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1022 1084 |
| 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. | 573 699 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 91.1 89.8 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.83 65.38 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 88.66 85.78 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 44.12 48.78 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 47.5 36.82 |
| 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. | 68.15 62.25 |
| 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. | 80.33 78.45 |
| 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. | 84.43 83.5 |
| Succesful passes in % from final third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the ‘last third’ area to another area of the field. | 67.35 73.1 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 35.92 44.9 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 75.2 75.86 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 80.91 78.43 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 79.66 76.58 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 80.31 82.83 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 75.31 77.2 |
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. | 3427 3122 |
| 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". Per 90 | 893 1025 |
| 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. | 212 328 |
| 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" | 515 467 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 567 654 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). Per 90 | 427 450 |
| 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. | 365 281 |
| 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". | 362 334 |
| Total touches in phase Set Pieces | 577 609 |
| Total touches in phase Second ball | 877 801 |
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. | 105 90 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass Per 90 | 352 407 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 47 45 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 126 139 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 238 250 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. Per 90 | 22 29 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 19 21 |
| 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’ | 193 225 |
| 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 | 277 294 |
| 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 | 462 473 |
| 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’ | 318 283 |
| 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’ | 66 54 |
| Ball losses total | 1316 1329 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 1709 1705 |
| 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 Per 90 | 155 115 |
| 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 | 410 489 |
| 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 | 589 614 |
| 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 | 257 220 |
| 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 Per 90 | 46 33 |
Defensive
| Ground duels won ⓘ Won ground duel. | 349 355 |
| Ground duels lost ⓘ Lost ground duel. Per 90 | 354 413 |
| Ariel duels won ⓘ Won aerial duel. | 167 160 |
| Ariel duels lost ⓘ Lost aerial duel. | 204 179 |
| 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. | 400 408 |
| 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. Per 90 | 189 178 |
| 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. | 348 369 |
| 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. | 207 210 |
| Tackles | 703 768 |
| Clearances by foot | 271 245 |
| Ground duels total | 703 768 |
| Ground duels won % | 49.64 46.22 |
| Ground duels lost % | 50.36 53.78 |
| Ariel duels total | 371 339 |
| Ariel duels won % | 45.01 47.2 |
| Ariel duels lost % | 54.99 52.8 |
| Defensive stability ⓘ The ability to defend well | 266.7 264.3 |
Dribbles
| Progessive dribbles ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 315 393 |
| Succesful dribbles Per 90 | 3798 3822 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 227 217 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. Per 90 | 544 535 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 948 1011 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 272 363 |
| 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 | 336 317 |
| 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 Per 90 | 1048 1088 |
| 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 | 452 539 |
| 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 | 121 160 |
| 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 | 347 491 |
| 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 | 306 286 |
| 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 | 521 461 |
| 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 | 328 382 |
| 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 | 506 540 |
| 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 | 285 271 |
| 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 | 883 890 |
| 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 | 374 429 |
| 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 | 104 125 |
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. | 17.51 19.32 |
| 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. Per 90 | 17.51 19.32 |
| 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) | 1.28 0.89 |
| 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. | 3.06 3.31 |
| 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 | 3.12 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. Per 90 | 1.59 1.02 |
| Open play Xg ⓘ Open play Xg value | 13.81 16.43 |
| Set piece Xg ⓘ Set piece Xg | 3.7 2.9 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.13 |
| Xg with foot ⓘ Xg with foot | 10.74 13.12 |
| Goals total minus Xg total ⓘ 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. | -6.51 -0.32 |
| 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. | -2.06 -1.31 |
| Goals minus Xg penalty ⓘ 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. | 0.88 -0.34 |
| 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. | -0.58 0.44 |
| 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. | 0.72 0.11 |
| 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. | -2.59 -0.08 |
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