FSV Mainz 05 vs Manchester City: Who Wins? Advanced Stats, Prediction & H2H
Who is currently the better team – FSV Mainz 05 or Manchester City? Discover advanced team stats, xG metrics, Expected Threat, full H2H records, pressing & possession profiles, visualised predictions and data-driven performance analytics.
FSV Mainz 05 vs. Manchester City - Who Is Better?
FSV Mainz 05 has completed 5486 successful passes compared to Manchester City's 11333, with FSV Mainz 05 ranking 17 and Manchester City ranking 1 in the league for successful passes. See Full Successful passes Ranking
Manchester City has won 663 ground duels versus 545 for FSV Mainz 05, with Manchester City ranking 10 and FSV Mainz 05 ranking 6 in the league for ground duels won. See Full Ground duels won Ranking
FSV Mainz 05 has accumulated 33.99 expected goals against while Manchester City faces 30.34, with FSV Mainz 05 ranking 18 and Manchester City ranking 6 in the league for xG conceded. See Full Xg total conceeded Ranking
Key Stats
| Metric | Value |
|---|---|
| Goals | 18 45 |
| Goals | 1 2.05 |
| Shot at goal number ⓘ Number of shots. | 185 319 |
| Shots on Goal | 129 222 |
| Goals conceeded | 29 21 |
| Goals conceeded | 1.61 0.95 |
| Matches won | 2 13 |
| Matches lost | 10 5 |
Scores
Team Form
Shooting Data & xG Analysis
All FSV Mainz 05`s shots on this match:
Strengths & Weaknesses
| Team | Strengths & Weaknesses | Team |
|---|---|---|
| MAI | MCI | |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
| 0 | | 0 |
Up To Date Stats
FSV Mainz 05 creates 7 clear goal-scoring opportunities compared to Manchester City's 11 - highlighting their ability to fashion high-quality chances
Manchester City records 97 shots that miss the target completely versus FSV Mainz 05's 56 - showcasing their shooting accuracy variance
FSV Mainz 05 completes 1427 passes from the right flank while Manchester City manages 2536 - exposing their right-sided distribution patterns
Compare Yourself
Compare FSV Mainz 05
Other Comparisons
FSV Mainz 05’s and Manchester City’s Total Squad Salary
Salary Stats
#1
Nelson Weiper
0
No.
Player
Value
#1
Nelson Weiper
0
#2
Robin Zentner
0
#3
Kaishu Sano
0
#4
Lennard Maloney
0
#5
Andreas Hanche-Olsen
0
#6
Anthony Caci
0
#7
Armindo Sieb
0
#8
Phillipp Mwene
0
#9
Ben Bobzien
0
#10
Nikolas Veratschnig
0
#11
Arnaud Nordin
0
#12
Sota Kawasaki
0
#13
William Boving
0
#14
Maxim Leitsch
0
#15
Lasse Riess
0
#16
Kacper Potulski
0
#17
Daniel Batz
0
#18
Fabio Moreno Fell
0
#19
Phillip Tietz
0
#20
Silas
0
#21
Benedict Hollerbach
0
#22
Dominik Kohr
0
#23
Stefan Bell
1
#24
Danny da Costa
1
#25
Paul Nebel
1
#26
Jae-sung Lee
1
#27
Silvan Widmer
1
#28
Nadiem Amiri
2
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
No.
Player
Value
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
#5
Nikolas Veratschnig
0
#6
Sota Kawasaki
0
#7
William Boving
0
#8
Lasse Riess
0
#9
Kacper Potulski
0
#10
Daniel Batz
0
#11
Fabio Moreno Fell
0
#12
Silas
1
#13
Anthony Caci
2
#14
Maxim Leitsch
3
#15
Robin Zentner
4
#16
Phillip Tietz
4
#17
Silvan Widmer
7
#18
Nadiem Amiri
7
#19
Andreas Hanche-Olsen
9
#20
Benedict Hollerbach
9
#21
Dominik Kohr
9
#22
Jae-sung Lee
10
#23
Phillipp Mwene
12
#24
Arnaud Nordin
15
#25
Lennard Maloney
15
#26
Stefan Bell
16
#27
Paul Nebel
18
#28
Danny da Costa
19
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
No.
Player
Value
#1
Nelson Weiper
0
#2
Kaishu Sano
0
#3
Armindo Sieb
0
#4
Ben Bobzien
0
#5
Nikolas Veratschnig
0
#6
Sota Kawasaki
0
#7
William Boving
0
#8
Lasse Riess
0
#9
Kacper Potulski
0
#10
Daniel Batz
0
#11
Fabio Moreno Fell
0
#12
Silas
1
#13
Lennard Maloney
5
#14
Maxim Leitsch
7
#15
Phillip Tietz
8
#16
Benedict Hollerbach
9
#17
Andreas Hanche-Olsen
10
#18
Stefan Bell
15
#19
Robin Zentner
15
#20
Jae-sung Lee
17
#21
Arnaud Nordin
20
#22
Silvan Widmer
26
#23
Dominik Kohr
33
#24
Phillipp Mwene
36
#25
Anthony Caci
37
#26
Paul Nebel
51
#27
Danny da Costa
58
#28
Nadiem Amiri
58
#1
Nadiem Amiri
1.44
No.
Player
Value
#1
Nadiem Amiri
1
#2
Paul Nebel
1
#3
Silvan Widmer
1
#4
Jae-sung Lee
1
#5
Benedict Hollerbach
1
#6
Phillip Tietz
1
#7
Danny da Costa
0
#8
Arnaud Nordin
0
#9
Dominik Kohr
0
#10
Phillipp Mwene
0
#11
Stefan Bell
0
#12
Anthony Caci
0
#13
Lennard Maloney
0
#14
Andreas Hanche-Olsen
0
#15
Silas
0
#16
Maxim Leitsch
0
#17
Nelson Weiper
0
#18
Robin Zentner
0
#19
Kaishu Sano
0
#20
Armindo Sieb
0
#21
Ben Bobzien
0
#22
Nikolas Veratschnig
0
#23
Sota Kawasaki
0
#24
William Boving
0
#25
Lasse Riess
0
#26
Kacper Potulski
0
#27
Daniel Batz
0
#28
Fabio Moreno Fell
0
Salary Stats
#1
Rico Lewis
0
#2
Nico OReilly
0
#3
Abdukodir Khusanov
0
#4
John Stones
0
No.
Player
Value
#1
Rico Lewis
0
#2
Nico OReilly
0
#3
Abdukodir Khusanov
0
#4
John Stones
0
#5
Rayan Ait-Nouri
0
#6
Nico Gonzalez
0
#7
James Trafford
0
#8
Omar Marmoush
0
#9
Bernardo Silva
0
#10
Nathan Ake
0
#11
Rodri
0
#12
Gianluigi Donnarumma
0
#13
Savinho
0
#14
Mateo Kovacic
0
#15
Divine Mukasa
0
#16
Max Alleyne
0
#17
Antoine Semenyo
0
#18
Matheus Nunes
0
#19
Ruben Dias
0
#20
Josko Gvardiol
0
#21
Rayan Cherki
0
#22
Jeremy Doku
0
#23
Oscar Bobb
0
#24
Tijjani Reijnders
0
#25
Phil Foden
0
#26
Erling Haaland
1
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
No.
Player
Value
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
#5
Savinho
0
#6
Mateo Kovacic
0
#7
Divine Mukasa
0
#8
Max Alleyne
0
#9
Antoine Semenyo
0
#10
Omar Marmoush
1
#11
Erling Haaland
1
#12
Rodri
1
#13
John Stones
1
#14
Gianluigi Donnarumma
1
#15
Bernardo Silva
1
#16
Josko Gvardiol
1
#17
Ruben Dias
1
#18
Nathan Ake
1
#19
Phil Foden
1
#20
Tijjani Reijnders
2
#21
Rayan Cherki
2
#22
Matheus Nunes
2
#23
Oscar Bobb
3
#24
Rico Lewis
5
#25
Abdukodir Khusanov
6
#26
Jeremy Doku
7
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
No.
Player
Value
#1
Nico OReilly
0
#2
Rayan Ait-Nouri
0
#3
Nico Gonzalez
0
#4
James Trafford
0
#5
Savinho
0
#6
Divine Mukasa
0
#7
Max Alleyne
0
#8
Mateo Kovacic
0
#9
Gianluigi Donnarumma
0
#10
John Stones
0
#11
Omar Marmoush
1
#12
Erling Haaland
1
#13
Nathan Ake
4
#14
Rodri
4
#15
Antoine Semenyo
4
#16
Ruben Dias
6
#17
Josko Gvardiol
6
#18
Tijjani Reijnders
7
#19
Bernardo Silva
7
#20
Phil Foden
7
#21
Rayan Cherki
13
#22
Rico Lewis
17
#23
Matheus Nunes
19
#24
Oscar Bobb
22
#25
Abdukodir Khusanov
26
#26
Jeremy Doku
63
#1
Erling Haaland
0.62
#2
Jeremy Doku
0.55
#3
Tijjani Reijnders
0.29
#4
Oscar Bobb
0.27
No.
Player
Value
#1
Erling Haaland
1
#2
Jeremy Doku
1
#3
Tijjani Reijnders
0
#4
Oscar Bobb
0
#5
Phil Foden
0
#6
Rayan Cherki
0
#7
Josko Gvardiol
0
#8
Omar Marmoush
0
#9
Rico Lewis
0
#10
Matheus Nunes
0
#11
Bernardo Silva
0
#12
Ruben Dias
0
#13
Nathan Ake
0
#14
Rodri
0
#15
Antoine Semenyo
0
#16
Nico OReilly
0
#17
Abdukodir Khusanov
0
#18
John Stones
0
#19
Rayan Ait-Nouri
0
#20
Nico Gonzalez
0
#21
James Trafford
0
#22
Gianluigi Donnarumma
0
#23
Savinho
0
#24
Mateo Kovacic
0
#25
Divine Mukasa
0
#26
Max Alleyne
0
FSV Mainz 05: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where FSV Mainz 05 is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where FSV Mainz 05 consistently performs at a high level, placing him near the top of the league.
#2
FSV Mainz 05
656
#3
Getafe
655
#4
AFC Bournemouth
646
#5
Newcastle United
638
Weak Stats
These are the areas where FSV Mainz 05`s performance falls below the league average.
Manchester City: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Manchester City is among the very best, setting the standard for the league.
Very Good Stats
These are the areas where Manchester City consistently performs at a high level, placing him near the top of the league.
#2
Manchester City
692
#3
Aston Villa
684
#4
Girona FC
678
#5
Fulham
662
Average Stats
These stats show Manchester City`s solid, reliable contributions that are in line with the majority of players in his position.
Weak Stats
These are the areas where Manchester City`s performance falls below the league average.
Performance per season
Expected Threat & Involvement Analysis
FSV Mainz 05 has an Expected Threat of 3383.41 - ranking 15 and measuring their ability to advance the ball into dangerous positions, while Manchester City generates 7615.44 Expected Threat - sitting at 2, showing which team better progresses play toward scoring opportunities and controls the attacking tempo. See Full Expected Threat Ranking
FSV Mainz 05 has an Expected Threat against of 440.43 - placing them 7 defensively, indicating how much dangerous ball progression they allow opponents, while Manchester City concedes 395.41 Expected Threat against - ranking 18, revealing which defense better restricts opponent advances into threatening areas and maintains defensive solidity. See Full Expected Threat against Ranking
FSV Mainz 05 recorded 129 Critical ball losses - ranking 7 in possession security, meaning they've given the ball away in trouble spots, while Manchester City suffered 158 such losses - sitting at 8, highlighting which team is more vulnerable in possession under pressure and prone to dangerous turnovers. See Full Critical ball losses Ranking
Key Preformance Indicators
| Metric | Value |
|---|---|
| Expected Threat ⓘ Expected Threat (xT) measures how much a team’s chance of scoring changes when the ball is moved from one location on the pitch to another. The pitch is divided into zones, each with a value reflecting the probability of scoring if the ball is in that zone. Every on-ball action (pass, carry, dribble, sometimes reception) gets a value equal to the increase (or decrease) in the team’s scoring probability when the ball moves from the start zone to the end zone. Summing these changes across a match or season gives a player’s or team’s total xT contributed by their actions. | 3383.41 7615.44 |
| Expected Threat Against ⓘ Expected Threat Against (often written xTA or xT against) applies the same idea from the defensive point of view. It measures how much the opponent’s chance of scoring changes during their possessions against your team. When the opposition progresses the ball into more dangerous zones, the xTA you concede increases; when you prevent progression or force the ball back into safer areas, you reduce xTA conceded. Aggregated over time, xTA describes how much threat a team allows through opponent ball progression, and at player level it can be used to evaluate how well defenders and midfielders limit dangerous ball movement. | 440.43 395.41 |
| 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. | 129 158 |
| Initiate dangerous attacks ⓘ Initiating dangerous attacks with the ball, play in advanced areas, penetrating the opposition defence. A deadly pass from a midfield to a the striker, who is then free in front of the goal, bypasses a certain amount of defenders. 78% of the teams with a better result in this metric won their games. | 1058 1603 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.22 0.95 |
Ratings and Scores
Compare FSV Mainz 05 & Manchester City`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, | 56.54 78.83 |
| 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. | 55.02 75.71 |
| 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 | 57.44 73.22 |
| Offensive interventions | 161.22 123.36 |
Goals & Assists
| Goals | 18 45 |
| Assists ⓘ Creating goals, playing the final pass. | 13 39 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 0 3 |
| Goals by head ⓘ Goals by head | 2 6 |
| Penalty goals ⓘ Penalty goals | 3 2 |
| Goals by freekick ⓘ Goals by freekick | 0 0 |
| Goals by foot | 13 35 |
| Shots on Goal | 129 222 |
| 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. | 7.47 10.34 |
Goals & Shots conceded
| Goals conceeded | 29 21 |
| Goals by head conceeded | 5 1 |
| Goals by foot conceeded | 22 19 |
| Shots on goal conceeded | 183 153 |
| Goals per 90 min conceeded | 1.61 0.95 |
Passing and Ball progression
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 2796 4611 |
| 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 | 2197 3485 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 3829 9451 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 91 168 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 175 181 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 297 317 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 27 40 |
| 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. | 418 698 |
| 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. | 1048 1959 |
| 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. | 2771 5822 |
| 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. | 1171 2699 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 78 155 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1427 2536 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 860 1900 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 1309 2860 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 765 1903 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 1125 2134 |
| 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. | 1058 1603 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 86.03 93.52 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 60.67 70.89 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 84.62 86.14 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 41.54 50.63 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 41.18 46.41 |
| Succesful passes in % from own box ⓘ Pass that reaches the team-mate. Here specifically: A pass FROM the ‘own box’ to another area of the field. | 55.15 71.08 |
| Succesful passes in % from 1st third ⓘ Pass that reaches the other player. Here specifically: A pass FROM the area ‘1st third of the field’ to another area of the field. | 67.44 80.72 |
| 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. | 77.4 90.08 |
| 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. | 68.04 85.38 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 39.2 53.26 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 69.1 81.86 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 69.29 86.66 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 69.81 84.89 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 71.85 86.56 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 71.07 85.76 |
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. | 3175 8853 |
| 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". | 1321 1701 |
| 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. | 526 444 |
| 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" | 900 799 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 849 961 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 795 700 |
| 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. | 595 509 |
| 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". | 692 565 |
| Total touches in phase Set Pieces | 1121 953 |
| Total touches in phase Second ball | 1592 1364 |
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. | 129 158 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 622 655 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 59 69 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 250 209 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 522 376 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 54 51 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 38 39 |
| 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’ | 340 284 |
| 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 | 506 468 |
| 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 | 809 641 |
| 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’ | 550 462 |
| 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’ | 121 136 |
| Ball losses total | 2326 1991 |
Ball regains
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 2902 2714 |
| 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 | 210 205 |
| 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 | 652 665 |
| 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 | 1127 965 |
| 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 | 424 397 |
| 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 | 84 103 |
Defensive
| Ground duels won ⓘ Won ground duel. | 545 663 |
| Ground duels lost ⓘ Lost ground duel. | 547 661 |
| Ariel duels won ⓘ Won aerial duel. | 375 245 |
| Ariel duels lost ⓘ Lost aerial duel. | 386 188 |
| 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. | 607 587 |
| 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. | 294 289 |
| 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. | 761 604 |
| 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. | 334 337 |
| Tackles | 1092 1324 |
| Clearances by foot | 486 412 |
| Ground duels total | 1092 1324 |
| Ground duels won % | 49.91 50.08 |
| Ground duels lost % | 50.09 49.92 |
| Ariel duels total | 761 433 |
| Ariel duels won % | 49.28 56.58 |
| Ariel duels lost % | 50.72 43.42 |
| Defensive stability ⓘ The ability to defend well | 587.7 621.5 |
Dribbles
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 397 983 |
| Succesful dribbles | 4385 9496 |
Elimination actions & Pitch
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 271 392 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 547 969 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 1205 2080 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 532 953 |
| 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 | 329 692 |
| 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 | 1145 2072 |
| 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 | 797 1191 |
| 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 | 261 412 |
| 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 | 735 1013 |
| 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 | 400 711 |
| 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 | 566 1072 |
| 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 | 331 712 |
| 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 | 572 973 |
| 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 | 274 583 |
| 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 | 999 1661 |
| 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 | 659 866 |
| 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 | 216 284 |
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. | 22.04 40.92 |
| 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. | 22.04 40.92 |
| Xg long distance ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a long range shot (more than 22 Meters) | 0.69 1.1 |
| 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. | 3.78 6.14 |
| Xg with penalites ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a penalty | 2.34 2.34 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.22 0.95 |
| Open play Xg ⓘ Open play Xg value | 19.44 38.18 |
| Set piece Xg ⓘ Set piece Xg | 2.6 2.74 |
| Xg average per shot ⓘ Xg average per shot | 0.12 0.13 |
| Xg with foot ⓘ Xg with foot | 15.66 32.05 |
| xG over/under ⓘ Goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -4.04 2.08 |
| Goals minus Xg header ⓘ Header goals minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -1.78 -0.14 |
| 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. | 19.7 38.58 |
| 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. | -0.26 -0.4 |
| 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. | -0.69 1.9 |
| Goals minus Xg short distance shot ⓘ Short distance goals (less than 10 meters)minus Xg value. The higher the value, the better. If the value is high, the player has scored many goals from chances with a low Xg. A negative value indicates that the player is a not good a scoring goals. | -0.63 0.69 |
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