Minnesota United FC: Team & Player Stats
Last Matches
Trending Minnesota United FC Team Stats
Minnesota United FC has a defensive stability rating of 1052.6, earning 4 spot in the league for defensive stability. See Full Defensive stability Ranking
Minnesota United FC scores from 49.26 expected goals in open play, ranking 17 in the league for open play xG. See Full Open play Xg Ranking
Minnesota United FC has made 51.67% successful tackles, placing them 26 in the league for tackle success rate. See Full Tackles lost % Ranking
Best Players by Stat Category
#1
Anthony Markanich Jr.
10
No.
Player
Value
#1
Anthony Markanich Jr.
10
#2
Tani Oluwaseyi
10
#3
Kelvin Yeboah
9
#4
Joaquin Pereyra
7
#5
Robin Lod
6
#6
Bongokuhle Hlongwane
3
#7
Nectarios Triantis
3
#8
Wil Trapp
2
#9
Carlos Harvey
2
#10
Michael Boxall
1
#11
Hassani Dotson
1
#12
Joseph Rosales
1
#13
Jefferson Diaz
1
#14
Julian Gressel
1
#15
Samuel Shashoua
0
#16
Dayne St. Clair
0
#17
Sang-bin Jeong
0
#18
Morris Duggan
0
#19
Loic Mesanvi
0
#20
Owen Gene
0
#21
Devin Padelford
0
#22
Nicolas Romero
0
#23
Alec Smir
0
#24
D.J. Taylor
0
#25
Ho-yeon Jung
0
#26
Kieran Chandler
0
#27
Wessel Speel
0
#28
Darius Randell
0
#29
Luke Hille
0
#30
Mamadou Dieng
0
#31
Dominik Fitz
0
#32
Adam Randell
0
#1
Joaquin Pereyra
13
No.
Player
Value
#1
Joaquin Pereyra
13
#2
Tani Oluwaseyi
8
#3
Robin Lod
5
#4
Nicolas Romero
5
#5
Jefferson Diaz
4
#6
Bongokuhle Hlongwane
3
#7
Julian Gressel
3
#8
Michael Boxall
2
#9
Wil Trapp
2
#10
Joseph Rosales
2
#11
Anthony Markanich Jr.
2
#12
Nectarios Triantis
2
#13
Kelvin Yeboah
1
#14
Carlos Harvey
1
#15
Sang-bin Jeong
1
#16
Morris Duggan
1
#17
Samuel Shashoua
0
#18
Dayne St. Clair
0
#19
Hassani Dotson
0
#20
Loic Mesanvi
0
#21
Owen Gene
0
#22
Devin Padelford
0
#23
Alec Smir
0
#24
D.J. Taylor
0
#25
Ho-yeon Jung
0
#26
Kieran Chandler
0
#27
Wessel Speel
0
#28
Darius Randell
0
#29
Luke Hille
0
#30
Mamadou Dieng
0
#31
Dominik Fitz
0
#32
Adam Randell
0
#1
Joaquin Pereyra
54
No.
Player
Value
#1
Joaquin Pereyra
54
#2
Kelvin Yeboah
49
#3
Tani Oluwaseyi
41
#4
Robin Lod
26
#5
Bongokuhle Hlongwane
23
#6
Anthony Markanich Jr.
19
#7
Carlos Harvey
14
#8
Joseph Rosales
14
#9
Jefferson Diaz
14
#10
Nicolas Romero
10
#11
Nectarios Triantis
9
#12
Wil Trapp
7
#13
Michael Boxall
5
#14
Julian Gressel
5
#15
Morris Duggan
4
#16
Sang-bin Jeong
3
#17
Owen Gene
3
#18
Dominik Fitz
3
#19
Samuel Shashoua
2
#20
Hassani Dotson
2
#21
Mamadou Dieng
2
#22
Dayne St. Clair
0
#23
Loic Mesanvi
0
#24
Devin Padelford
0
#25
Alec Smir
0
#26
D.J. Taylor
0
#27
Ho-yeon Jung
0
#28
Kieran Chandler
0
#29
Wessel Speel
0
#30
Darius Randell
0
#31
Luke Hille
0
#32
Adam Randell
0
#1
Joaquin Pereyra
112
#2
Wil Trapp
94
#3
Joseph Rosales
87
#4
Anthony Markanich Jr.
72
No.
Player
Value
#1
Joaquin Pereyra
112
#2
Wil Trapp
94
#3
Joseph Rosales
87
#4
Anthony Markanich Jr.
72
#5
Jefferson Diaz
71
#6
Bongokuhle Hlongwane
63
#7
Carlos Harvey
62
#8
Robin Lod
58
#9
Morris Duggan
50
#10
Nicolas Romero
49
#11
Michael Boxall
43
#12
Nectarios Triantis
41
#13
Julian Gressel
32
#14
Dayne St. Clair
27
#15
Kelvin Yeboah
26
#16
Owen Gene
24
#17
Tani Oluwaseyi
21
#18
Hassani Dotson
8
#19
Sang-bin Jeong
8
#20
Devin Padelford
4
#21
D.J. Taylor
4
#22
Dominik Fitz
4
#23
Samuel Shashoua
3
#24
Ho-yeon Jung
2
#25
Mamadou Dieng
2
#26
Adam Randell
2
#27
Loic Mesanvi
1
#28
Kieran Chandler
1
#29
Darius Randell
1
#30
Luke Hille
1
#31
Alec Smir
0
#32
Wessel Speel
0
Scores
Team`s Recent Form
Shooting Data & xG Analysis
All Minnesota United FC`s shots on this match:
Strengths & Weaknesses
| Strengths & Weaknesses | Value |
|---|---|
| | 0 |
| | 0 |
| | 0 |
| | 0 |
| | 0 |
| | 0 |
Up To Date Stats
Minnesota United FC completes 152 diagonal passes across the pitch while losing possession through 98 failed diagonal attempts - revealing their ambition in switching play
Minnesota United FC records 1363 offensive actions from central areas compared to 1222 from the left wing - highlighting their tactical preferences
Minnesota United FC manages 150 ball recoveries in the opponent's penalty area but suffers 195 possession losses in the same zone - showcasing their high-risk approach
Advanced Stats & Analytics
| Metric | Value |
|---|---|
| Goals | 71 |
| Passing accuracy % | 72.79 |
| Goals conceeded | 44 |
| Tackles | 2156 |
| Shot at goal number ⓘ Number of shots. | 439 |
| 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. | 53.44 |
Compare Yourself
Compare Tani Oluwaseyi
Other Teams
Other Team Head-to-Head Comparisons
News
Match Prediction Seattle vs Minnesota: The Creativity Kings Clash in MLS's Most Unpredictable Showdown
Two teams with wildly different styles meet in a battle that could define playoff positioning. Seattle's creative genius faces Minnesota's defensive fortress in what the numbers say should be pure chaos. One team creates chances like a machine, the other steals balls like pickpockets—who wins when art meets grit?
Major League Soccer
Minnesota United FC’s Total Squad Salary
Performance vs. Salary
#1
Michael Boxall
0
No.
Player
Value
#1
Michael Boxall
0
#2
Samuel Shashoua
0
#3
Joaquin Pereyra
0
#4
Wil Trapp
0
#5
Dayne St. Clair
0
#6
Hassani Dotson
0
#7
Carlos Harvey
0
#8
Joseph Rosales
0
#9
Sang-bin Jeong
0
#10
Bongokuhle Hlongwane
0
#11
Anthony Markanich Jr.
0
#12
Morris Duggan
0
#13
Tani Oluwaseyi
0
#14
Loic Mesanvi
0
#15
Owen Gene
0
#16
Devin Padelford
0
#17
Jefferson Diaz
0
#18
Nicolas Romero
0
#19
Alec Smir
0
#20
D.J. Taylor
0
#21
Ho-yeon Jung
0
#22
Julian Gressel
0
#23
Kieran Chandler
0
#24
Wessel Speel
0
#25
Darius Randell
0
#26
Luke Hille
0
#27
Mamadou Dieng
0
#28
Nectarios Triantis
0
#29
Dominik Fitz
0
#30
Adam Randell
0
#31
Robin Lod
4
#32
Kelvin Yeboah
8
#1
Michael Boxall
0
#2
Samuel Shashoua
0
#3
Joaquin Pereyra
0
#4
Wil Trapp
0
No.
Player
Value
#1
Michael Boxall
0
#2
Samuel Shashoua
0
#3
Joaquin Pereyra
0
#4
Wil Trapp
0
#5
Dayne St. Clair
0
#6
Hassani Dotson
0
#7
Carlos Harvey
0
#8
Joseph Rosales
0
#9
Sang-bin Jeong
0
#10
Bongokuhle Hlongwane
0
#11
Anthony Markanich Jr.
0
#12
Morris Duggan
0
#13
Tani Oluwaseyi
0
#14
Loic Mesanvi
0
#15
Owen Gene
0
#16
Devin Padelford
0
#17
Jefferson Diaz
0
#18
Nicolas Romero
0
#19
Alec Smir
0
#20
D.J. Taylor
0
#21
Ho-yeon Jung
0
#22
Julian Gressel
0
#23
Kieran Chandler
0
#24
Wessel Speel
0
#25
Darius Randell
0
#26
Luke Hille
0
#27
Mamadou Dieng
0
#28
Nectarios Triantis
0
#29
Dominik Fitz
0
#30
Adam Randell
0
#31
Robin Lod
31
#32
Kelvin Yeboah
35
#1
Michael Boxall
0
#2
Samuel Shashoua
0
#3
Joaquin Pereyra
0
#4
Wil Trapp
0
No.
Player
Value
#1
Michael Boxall
0
#2
Samuel Shashoua
0
#3
Joaquin Pereyra
0
#4
Wil Trapp
0
#5
Dayne St. Clair
0
#6
Hassani Dotson
0
#7
Carlos Harvey
0
#8
Joseph Rosales
0
#9
Sang-bin Jeong
0
#10
Bongokuhle Hlongwane
0
#11
Anthony Markanich Jr.
0
#12
Morris Duggan
0
#13
Tani Oluwaseyi
0
#14
Loic Mesanvi
0
#15
Owen Gene
0
#16
Devin Padelford
0
#17
Jefferson Diaz
0
#18
Nicolas Romero
0
#19
Alec Smir
0
#20
D.J. Taylor
0
#21
Ho-yeon Jung
0
#22
Julian Gressel
0
#23
Kieran Chandler
0
#24
Wessel Speel
0
#25
Darius Randell
0
#26
Luke Hille
0
#27
Mamadou Dieng
0
#28
Nectarios Triantis
0
#29
Dominik Fitz
0
#30
Adam Randell
0
#31
Kelvin Yeboah
45
#32
Robin Lod
104
#1
Kelvin Yeboah
10.18
No.
Player
Value
#1
Kelvin Yeboah
10
#2
Robin Lod
3
#3
Michael Boxall
0
#4
Samuel Shashoua
0
#5
Joaquin Pereyra
0
#6
Wil Trapp
0
#7
Dayne St. Clair
0
#8
Hassani Dotson
0
#9
Carlos Harvey
0
#10
Joseph Rosales
0
#11
Sang-bin Jeong
0
#12
Bongokuhle Hlongwane
0
#13
Anthony Markanich Jr.
0
#14
Morris Duggan
0
#15
Tani Oluwaseyi
0
#16
Loic Mesanvi
0
#17
Owen Gene
0
#18
Devin Padelford
0
#19
Jefferson Diaz
0
#20
Nicolas Romero
0
#21
Alec Smir
0
#22
D.J. Taylor
0
#23
Ho-yeon Jung
0
#24
Julian Gressel
0
#25
Kieran Chandler
0
#26
Wessel Speel
0
#27
Darius Randell
0
#28
Luke Hille
0
#29
Mamadou Dieng
0
#30
Nectarios Triantis
0
#31
Dominik Fitz
0
#32
Adam Randell
0
Minnesota United FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where Minnesota United FC is among the very best, setting the standard for the league.
#1
Minnesota United FC
1968
#2
FC Cincinnati
1934
#3
New York City FC
1854
#4
Los Angeles FC
1815
No.
Player
Value
#1
Minnesota United FC
1968
#2
FC Cincinnati
1934
#3
New York City FC
1854
#4
Los Angeles FC
1815
#5
Philadelphia Union
1794
#6
Chicago Fire FC
1783
#7
FC Dallas
1778
#8
Portland Timbers
1736
#9
Nashville SC
1731
#10
Vancouver Whitecaps FC
1693
#11
D.C. United
1688
#12
Seattle Sounders FC
1684
#13
San Diego FC
1684
#14
Inter Miami CF
1671
#15
Charlotte FC
1661
#16
New York Red Bulls
1619
#17
Orlando City SC
1619
#18
New England Revolution
1609
#19
St. Louis CITY SC
1588
#20
Austin FC
1580
#21
Toronto FC
1579
#22
Colorado Rapids
1564
#23
CF Montréal
1563
#24
Columbus Crew
1563
#25
Sporting Kansas City
1559
#26
Houston Dynamo FC
1540
#27
Real Salt Lake City
1537
#28
San Jose Earthquakes
1499
#29
Atlanta United FC
1484
#30
Los Angeles Galaxy
1377
#1
Minnesota United FC
1713
#2
FC Dallas
1548
#3
New York City FC
1484
#4
FC Cincinnati
1427
No.
Player
Value
#1
Minnesota United FC
1713
#2
FC Dallas
1548
#3
New York City FC
1484
#4
FC Cincinnati
1427
#5
Portland Timbers
1354
#6
Los Angeles FC
1345
#7
Chicago Fire FC
1314
#8
Toronto FC
1312
#9
Orlando City SC
1309
#10
Charlotte FC
1297
#11
Seattle Sounders FC
1288
#12
Inter Miami CF
1278
#13
Austin FC
1278
#14
D.C. United
1268
#15
St. Louis CITY SC
1204
#16
Vancouver Whitecaps FC
1201
#17
New England Revolution
1200
#18
Nashville SC
1196
#19
Houston Dynamo FC
1167
#20
Los Angeles Galaxy
1166
#21
Philadelphia Union
1162
#22
Colorado Rapids
1116
#23
San Jose Earthquakes
1088
#24
CF Montréal
1075
#25
Real Salt Lake City
1074
#26
San Diego FC
1072
#27
Atlanta United FC
1063
#28
New York Red Bulls
1041
#29
Sporting Kansas City
943
#30
Columbus Crew
916
Very Good Stats
These are the areas where Minnesota United FC consistently performs at a high level, placing him near the top of the league.
#2
Minnesota United FC
517
No.
Player
Value
#2
Minnesota United FC
517
#3
D.C. United
490
#4
Portland Timbers
439
#5
FC Cincinnati
433
#6
Vancouver Whitecaps FC
397
#7
New York Red Bulls
389
#8
St. Louis CITY SC
384
#9
San Jose Earthquakes
378
#10
New York City FC
377
#11
FC Dallas
376
#12
Seattle Sounders FC
372
#13
Orlando City SC
367
#14
New England Revolution
366
#15
Atlanta United FC
366
#16
Austin FC
352
#17
Los Angeles FC
351
#18
Chicago Fire FC
349
#19
Toronto FC
346
#20
Nashville SC
346
#21
Colorado Rapids
329
#22
Charlotte FC
313
#23
Houston Dynamo FC
309
#24
CF Montréal
298
#25
Inter Miami CF
297
#26
Sporting Kansas City
289
#27
Real Salt Lake City
285
#28
San Diego FC
278
#29
Los Angeles Galaxy
237
#30
Columbus Crew
233
#2
Minnesota United FC
1370
#3
FC Cincinnati
1264
#4
Seattle Sounders FC
1257
#5
New York City FC
1242
No.
Player
Value
#2
Minnesota United FC
1370
#3
FC Cincinnati
1264
#4
Seattle Sounders FC
1257
#5
New York City FC
1242
#6
Portland Timbers
1198
#7
Vancouver Whitecaps FC
1197
#8
New York Red Bulls
1194
#9
Inter Miami CF
1191
#10
Chicago Fire FC
1172
#11
Los Angeles FC
1164
#12
San Jose Earthquakes
1161
#13
FC Dallas
1157
#14
Toronto FC
1156
#15
San Diego FC
1114
#16
CF Montréal
1109
#17
New England Revolution
1107
#18
Columbus Crew
1084
#19
Orlando City SC
1084
#20
Nashville SC
1083
#21
Colorado Rapids
1075
#22
D.C. United
1066
#23
Real Salt Lake City
1064
#24
Charlotte FC
1057
#25
St. Louis CITY SC
1025
#26
Atlanta United FC
1021
#27
Sporting Kansas City
1009
#28
Los Angeles Galaxy
978
#29
Houston Dynamo FC
962
#30
Austin FC
954
Average Stats
These stats show Minnesota United FC`s solid, reliable contributions that are in line with the majority of players in his position.
#19
Minnesota United FC
944
#20
St. Louis CITY SC
916
#21
New England Revolution
911
#22
Nashville SC
910
No.
Player
Value
#19
Minnesota United FC
944
#20
St. Louis CITY SC
916
#21
New England Revolution
911
#22
Nashville SC
910
#23
Real Salt Lake City
908
#24
Philadelphia Union
891
#25
Colorado Rapids
890
#26
FC Dallas
862
#27
CF Montréal
853
#28
San Jose Earthquakes
839
#29
Toronto FC
823
#30
Austin FC
770
Weak Stats
These are the areas where Minnesota United FC`s performance falls below the league average.
Performance per season
Historical Standings
Expected Threat & Involvement Analysis
Minnesota United FC has an Expected Threat of 6200.31 - ranking 28 in this metric, basically how well they advance the ball into dangerous positions and create goal-scoring opportunities through progressive play. See Full Expected Threat Ranking
Minnesota United FC has an Expected Threat against of 945.99 - placing them 1 in defensive stability, showing how much dangerous ball progression they allow opponents and how well they restrict threatening advances into their own half. See Full Expected Threat against Ranking
Minnesota United FC recorded 241 Critical ball losses - ranking 1 in this area, basically how many times they've given the ball away in spots that immediately put them in trouble and expose their defense to counter-attacks. 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. | 6200.31 |
| 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. | 945.99 |
| 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. | 241 |
| 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. | 1801 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.94 |
Ratings and Scores
Compare Minnesota United FC`s Performance
Performance Trends
Select a trend category to explore metrics with significant changes, stable performance, or areas of concern.
Shooting Data & xG Analysis
Comprehensive Stats & Advanced Metrics
Scores Minnesota United FC
| 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, | 66.85 |
| 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. | 61.31 |
| 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 | 65.55 |
| Offensive interventions | 139.58 |
Goals & Assists Minnesota United FC
| Goals | 71 |
| Assists ⓘ Creating goals, playing the final pass. | 55 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 5 |
| Goals by head ⓘ Goals by head | 13 |
| Penalty goals ⓘ Penalty goals | 4 |
| Goals by freekick ⓘ Goals by freekick | 1 |
| Goals by foot | 38 |
| Shots on Goal | 310 |
| 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. | 10.04 |
Goals & Shots conceded Minnesota United FC
| Goals conceeded | 44 |
| Goals by head conceeded | 5 |
| Goals by foot conceeded | 35 |
| Shots on goal conceeded | 363 |
| Goals per 90 min conceeded | 1.16 |
Passing and Ball progression Minnesota United FC
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 5793 |
| 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 | 4450 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 8238 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 152 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 326 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 319 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 63 |
| 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. | 915 |
| 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. | 2844 |
| 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. | 5029 |
| 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. | 1854 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 165 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 1987 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 1650 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 3073 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 2013 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 2084 |
| 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. | 1801 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 88.3 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 60.8 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 68.16 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 48.46 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 43.41 |
| 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. | 55.09 |
| 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. | 74.28 |
| 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. | 80.09 |
| 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. | 68.24 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 45.83 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 68.78 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 75.82 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 72.27 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 75.51 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 72.94 |
Ball contacts & phases of play Minnesota United FC
| 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. | 6208 |
| 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". | 3328 |
| 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. | 724 |
| 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" | 1358 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1968 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1338 |
| 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. | 1036 |
| 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". | 996 |
| Total touches in phase Set Pieces | 1760 |
| Total touches in phase Second ball | 2354 |
Ball losses Minnesota United FC
| 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. | 241 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 1092 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 98 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 425 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 859 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 149 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 67 |
| 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’ | 746 |
| 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 | 985 |
| 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 | 1250 |
| 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’ | 863 |
| 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’ | 195 |
| Ball losses total | 4039 |
Ball regains Minnesota United FC
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 5304 |
| 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 | 467 |
| 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 | 1713 |
| 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 | 1587 |
| 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 | 738 |
| 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 | 150 |
Defensive Minnesota United FC
| Ground duels won ⓘ Won ground duel. | 1042 |
| Ground duels lost ⓘ Lost ground duel. | 1114 |
| Ariel duels won ⓘ Won aerial duel. | 517 |
| Ariel duels lost ⓘ Lost aerial duel. | 499 |
| 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. | 1370 |
| 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. | 599 |
| 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. | 1106 |
| 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. | 638 |
| Tackles | 2156 |
| Clearances by foot | 823 |
| Ground duels total | 2156 |
| Ground duels won % | 48.33 |
| Ground duels lost % | 51.67 |
| Ariel duels total | 1016 |
| Ariel duels won % | 50.89 |
| Ariel duels lost % | 49.11 |
| Defensive stability ⓘ The ability to defend well | 1052.6 |
Dribbles Minnesota United FC
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 983 |
| Succesful dribbles | 8729 |
Elimination actions & Pitch Minnesota United FC
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 603 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 1524 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 2270 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 952 |
| 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 | 1041 |
| 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 | 2452 |
| 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 | 1293 |
| 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 | 508 |
| 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 | 1154 |
| 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 | 778 |
| 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 | 1363 |
| 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 | 944 |
| 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 | 1222 |
| 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 | 841 |
| 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 | 2022 |
| 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 | 1048 |
| 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 | 430 |
xG Minnesota United FC
| 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. | 53.44 |
| 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. | 53.44 |
| 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) | 2.25 |
| 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. | 8.29 |
| 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 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 0.94 |
| Open play Xg ⓘ Open play Xg value | 49.26 |
| Set piece Xg ⓘ Set piece Xg | 4.09 |
| Xg average per shot ⓘ Xg average per shot | 0.12 |
| Xg with foot ⓘ Xg with foot | 40.97 |
| 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. | 3.56 |
| 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. | 4.71 |
| 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. | 50.32 |
| 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. | 0.07 |
| 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. | 2.75 |
| 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. | -0.05 |
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