New York City FC: Team & Player Stats
Last Matches
Trending New York City FC Team Stats
New York City FC has a defensive stability rating of 1201.8, earning 2 spot in the league for defensive stability. See Full Defensive stability Ranking
New York City FC scores from 53.55 expected goals in open play, ranking 12 in the league for open play xG. See Full Open play Xg Ranking
New York City FC has made 46.4% successful tackles, placing them 1 in the league for tackle success rate. See Full Tackles lost % Ranking
Best Players by Stat Category
#1
Alonso Martinez
19
No.
Player
Value
#1
Alonso Martinez
19
#2
Hannes Wolf
11
#3
Nicolas Fernandez Mercau
4
#4
Andres Perea
3
#5
Maxi Moralez
3
#6
Julian Fernandez
3
#7
Justin Haak
2
#8
Mitja Ilenic
2
#9
Monsef Bakrar
2
#10
Keaton Parks
1
#11
Kevin OToole
1
#12
Jonathan Shore
1
#13
Thiago Martins
1
#14
Seymour Reid
1
#15
Birk Risa
0
#16
Strahinja Tanasijevic
0
#17
Matt Freese
0
#18
Agustin Ojeda
0
#19
Nico Cavallo
0
#20
Tayvon Gray
0
#21
Maximo Carrizo
0
#22
Aiden ONeill
0
#23
Tomas Romero
0
#24
Sebastiano Musu
0
#25
Raul Gustavo
0
#1
Maxi Moralez
11
No.
Player
Value
#1
Maxi Moralez
11
#2
Hannes Wolf
6
#3
Agustin Ojeda
6
#4
Justin Haak
5
#5
Julian Fernandez
5
#6
Andres Perea
4
#7
Keaton Parks
3
#8
Alonso Martinez
3
#9
Mitja Ilenic
2
#10
Nicolas Fernandez Mercau
2
#11
Raul Gustavo
2
#12
Kevin OToole
1
#13
Birk Risa
0
#14
Strahinja Tanasijevic
0
#15
Matt Freese
0
#16
Monsef Bakrar
0
#17
Jonathan Shore
0
#18
Nico Cavallo
0
#19
Thiago Martins
0
#20
Tayvon Gray
0
#21
Maximo Carrizo
0
#22
Seymour Reid
0
#23
Aiden ONeill
0
#24
Tomas Romero
0
#25
Sebastiano Musu
0
#1
Alonso Martinez
82
#2
Hannes Wolf
49
#3
Julian Fernandez
23
#4
Nicolas Fernandez Mercau
21
No.
Player
Value
#1
Alonso Martinez
82
#2
Hannes Wolf
49
#3
Julian Fernandez
23
#4
Nicolas Fernandez Mercau
21
#5
Maxi Moralez
20
#6
Andres Perea
19
#7
Monsef Bakrar
15
#8
Justin Haak
11
#9
Agustin Ojeda
10
#10
Jonathan Shore
10
#11
Aiden ONeill
9
#12
Keaton Parks
8
#13
Thiago Martins
8
#14
Mitja Ilenic
7
#15
Kevin OToole
7
#16
Birk Risa
4
#17
Tayvon Gray
4
#18
Seymour Reid
2
#19
Nico Cavallo
1
#20
Maximo Carrizo
1
#21
Raul Gustavo
1
#22
Strahinja Tanasijevic
0
#23
Matt Freese
0
#24
Tomas Romero
0
#25
Sebastiano Musu
0
#1
Justin Haak
173
#2
Hannes Wolf
129
#3
Kevin OToole
125
#4
Tayvon Gray
122
No.
Player
Value
#1
Justin Haak
173
#2
Hannes Wolf
129
#3
Kevin OToole
125
#4
Tayvon Gray
122
#5
Thiago Martins
93
#6
Agustin Ojeda
83
#7
Maxi Moralez
82
#8
Mitja Ilenic
76
#9
Julian Fernandez
69
#10
Aiden ONeill
64
#11
Andres Perea
63
#12
Jonathan Shore
61
#13
Keaton Parks
58
#14
Matt Freese
45
#15
Nicolas Fernandez Mercau
43
#16
Birk Risa
41
#17
Alonso Martinez
33
#18
Nico Cavallo
28
#19
Raul Gustavo
25
#20
Strahinja Tanasijevic
22
#21
Monsef Bakrar
8
#22
Tomas Romero
5
#23
Seymour Reid
3
#24
Maximo Carrizo
2
#25
Sebastiano Musu
2
Scores
Team`s Recent Form
Shooting Data & xG Analysis
All New York City FC`s shots on this match:
Strengths & Weaknesses
| Strengths & Weaknesses | Value |
|---|---|
| | 0 |
| | 0 |
| | 0 |
| | 0 |
| | 0 |
| | 0 |
Up To Date Stats
New York City FC completes 199 diagonal passes across the pitch while losing possession through 138 failed diagonal attempts - revealing their ambition in switching play
New York City FC records 1532 offensive actions from central areas compared to 2001 from the left wing - highlighting their tactical preferences
New York City FC manages 147 ball recoveries in the opponent's penalty area but suffers 206 possession losses in the same zone - showcasing their high-risk approach
Advanced Stats & Analytics
| Metric | Value |
|---|---|
| Goals | 62 |
| Passing accuracy % | 80.01 |
| Goals conceeded | 46 |
| Tackles | 2418 |
| Shot at goal number ⓘ Number of shots. | 459 |
| 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. | 59.87 |
Compare Yourself
Compare Alonso Martinez
Other Teams
Other Team Head-to-Head Comparisons
Major League Soccer
New York City FC’s Total Squad Salary
Performance vs. Salary
#1
Birk Risa
0
#2
Strahinja Tanasijevic
0
#3
Andres Perea
0
#4
Maxi Moralez
0
No.
Player
Value
#1
Birk Risa
0
#2
Strahinja Tanasijevic
0
#3
Andres Perea
0
#4
Maxi Moralez
0
#5
Keaton Parks
0
#6
Matt Freese
0
#7
Justin Haak
0
#8
Mitja Ilenic
0
#9
Julian Fernandez
0
#10
Kevin OToole
0
#11
Agustin Ojeda
0
#12
Monsef Bakrar
0
#13
Alonso Martinez
0
#14
Jonathan Shore
0
#15
Nico Cavallo
0
#16
Tayvon Gray
0
#17
Maximo Carrizo
0
#18
Seymour Reid
0
#19
Aiden ONeill
0
#20
Tomas Romero
0
#21
Sebastiano Musu
0
#22
Nicolas Fernandez Mercau
0
#23
Raul Gustavo
0
#24
Thiago Martins
1
#25
Hannes Wolf
9
#1
Birk Risa
0
#2
Strahinja Tanasijevic
0
#3
Andres Perea
0
#4
Maxi Moralez
0
No.
Player
Value
#1
Birk Risa
0
#2
Strahinja Tanasijevic
0
#3
Andres Perea
0
#4
Maxi Moralez
0
#5
Keaton Parks
0
#6
Matt Freese
0
#7
Justin Haak
0
#8
Mitja Ilenic
0
#9
Julian Fernandez
0
#10
Kevin OToole
0
#11
Agustin Ojeda
0
#12
Monsef Bakrar
0
#13
Alonso Martinez
0
#14
Jonathan Shore
0
#15
Nico Cavallo
0
#16
Tayvon Gray
0
#17
Maximo Carrizo
0
#18
Seymour Reid
0
#19
Aiden ONeill
0
#20
Tomas Romero
0
#21
Sebastiano Musu
0
#22
Nicolas Fernandez Mercau
0
#23
Raul Gustavo
0
#24
Thiago Martins
27
#25
Hannes Wolf
37
#1
Birk Risa
0
#2
Strahinja Tanasijevic
0
#3
Andres Perea
0
#4
Maxi Moralez
0
No.
Player
Value
#1
Birk Risa
0
#2
Strahinja Tanasijevic
0
#3
Andres Perea
0
#4
Maxi Moralez
0
#5
Keaton Parks
0
#6
Matt Freese
0
#7
Justin Haak
0
#8
Mitja Ilenic
0
#9
Julian Fernandez
0
#10
Kevin OToole
0
#11
Agustin Ojeda
0
#12
Monsef Bakrar
0
#13
Alonso Martinez
0
#14
Jonathan Shore
0
#15
Nico Cavallo
0
#16
Tayvon Gray
0
#17
Maximo Carrizo
0
#18
Seymour Reid
0
#19
Aiden ONeill
0
#20
Tomas Romero
0
#21
Sebastiano Musu
0
#22
Nicolas Fernandez Mercau
0
#23
Raul Gustavo
0
#24
Thiago Martins
68
#25
Hannes Wolf
200
#1
Hannes Wolf
5.91
#2
Thiago Martins
1.13
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
No.
Player
Value
#1
Hannes Wolf
6
#2
Thiago Martins
1
#3
Birk Risa
0
#4
Strahinja Tanasijevic
0
#5
Andres Perea
0
#6
Maxi Moralez
0
#7
Keaton Parks
0
#8
Matt Freese
0
#9
Justin Haak
0
#10
Mitja Ilenic
0
#11
Julian Fernandez
0
#12
Kevin OToole
0
#13
Agustin Ojeda
0
#14
Monsef Bakrar
0
#15
Alonso Martinez
0
#16
Jonathan Shore
0
#17
Nico Cavallo
0
#18
Tayvon Gray
0
#19
Maximo Carrizo
0
#20
Seymour Reid
0
#21
Aiden ONeill
0
#22
Tomas Romero
0
#23
Sebastiano Musu
0
#24
Nicolas Fernandez Mercau
0
#25
Raul Gustavo
0
New York City FC: Where Do They Rank? A Breakdown of Their Benchmark, Average, and Weak Stats
Benchmark Stats
These are the stats where New York City FC is among the very best, setting the standard for the league.
#1
New York City FC
1296
#2
Inter Miami CF
1246
#3
Vancouver Whitecaps FC
1210
#4
Philadelphia Union
1190
No.
Player
Value
#1
New York City FC
1296
#2
Inter Miami CF
1246
#3
Vancouver Whitecaps FC
1210
#4
Philadelphia Union
1190
#5
Chicago Fire FC
1138
#6
FC Cincinnati
1131
#7
Columbus Crew
1122
#8
San Diego FC
1096
#9
Los Angeles FC
1063
#10
Seattle Sounders FC
1045
#11
Minnesota United FC
1042
#12
FC Dallas
1033
#13
Portland Timbers
1025
#14
San Jose Earthquakes
1008
#15
Nashville SC
1006
#16
Sporting Kansas City
1005
#17
CF Montréal
1001
#18
New York Red Bulls
1000
#19
D.C. United
999
#20
St. Louis CITY SC
965
#21
Toronto FC
960
#22
Real Salt Lake City
950
#23
New England Revolution
949
#24
Los Angeles Galaxy
944
#25
Colorado Rapids
915
#26
Austin FC
887
#27
Charlotte FC
841
#28
Houston Dynamo FC
835
#29
Orlando City SC
828
#30
Atlanta United FC
775
#1
New York City FC
2001
#2
Columbus Crew
1986
#3
San Diego FC
1941
#4
Portland Timbers
1675
No.
Player
Value
#1
New York City FC
2001
#2
Columbus Crew
1986
#3
San Diego FC
1941
#4
Portland Timbers
1675
#5
Inter Miami CF
1671
#6
Vancouver Whitecaps FC
1658
#7
Philadelphia Union
1635
#8
Chicago Fire FC
1470
#9
Los Angeles FC
1440
#10
FC Cincinnati
1439
#11
Sporting Kansas City
1437
#12
Seattle Sounders FC
1417
#13
Charlotte FC
1415
#14
St. Louis CITY SC
1399
#15
Colorado Rapids
1373
#16
Houston Dynamo FC
1367
#17
Los Angeles Galaxy
1335
#18
Orlando City SC
1312
#19
New York Red Bulls
1309
#20
Nashville SC
1293
#21
FC Dallas
1279
#22
Real Salt Lake City
1254
#23
D.C. United
1244
#24
Atlanta United FC
1233
#25
Minnesota United FC
1222
#26
Toronto FC
1205
#27
CF Montréal
1200
#28
New England Revolution
1183
#29
San Jose Earthquakes
1179
#30
Austin FC
1131
Very Good Stats
These are the areas where New York City FC consistently performs at a high level, placing him near the top of the league.
#2
New York City FC
5394
#3
Minnesota United FC
5304
#4
FC Cincinnati
5050
#5
Portland Timbers
4869
No.
Player
Value
#2
New York City FC
5394
#3
Minnesota United FC
5304
#4
FC Cincinnati
5050
#5
Portland Timbers
4869
#6
San Jose Earthquakes
4833
#7
Vancouver Whitecaps FC
4800
#8
New York Red Bulls
4746
#9
FC Dallas
4711
#10
San Diego FC
4695
#11
Chicago Fire FC
4693
#12
Inter Miami CF
4643
#13
Seattle Sounders FC
4624
#14
Los Angeles FC
4604
#15
D.C. United
4595
#16
Nashville SC
4436
#17
Colorado Rapids
4431
#18
Real Salt Lake City
4355
#19
Toronto FC
4346
#20
Charlotte FC
4340
#21
Columbus Crew
4334
#22
New England Revolution
4316
#23
St. Louis CITY SC
4293
#24
CF Montréal
4290
#25
Austin FC
4225
#26
Orlando City SC
4187
#27
Sporting Kansas City
4162
#28
Atlanta United FC
4058
#29
Houston Dynamo FC
4054
#30
Los Angeles Galaxy
3882
#2
New York City FC
5449
#3
Minnesota United FC
5338
#4
FC Cincinnati
5078
#5
Portland Timbers
4915
No.
Player
Value
#2
New York City FC
5449
#3
Minnesota United FC
5338
#4
FC Cincinnati
5078
#5
Portland Timbers
4915
#6
San Jose Earthquakes
4859
#7
Vancouver Whitecaps FC
4833
#8
New York Red Bulls
4781
#9
FC Dallas
4744
#10
Chicago Fire FC
4730
#11
San Diego FC
4722
#12
Inter Miami CF
4678
#13
Seattle Sounders FC
4666
#14
Los Angeles FC
4628
#15
D.C. United
4622
#16
Nashville SC
4468
#17
Colorado Rapids
4459
#18
Real Salt Lake City
4392
#19
Toronto FC
4379
#20
Charlotte FC
4378
#21
Columbus Crew
4362
#22
New England Revolution
4339
#23
St. Louis CITY SC
4330
#24
CF Montréal
4322
#25
Austin FC
4259
#26
Orlando City SC
4219
#27
Sporting Kansas City
4203
#28
Atlanta United FC
4081
#29
Houston Dynamo FC
4081
#30
Los Angeles Galaxy
3909
Average Stats
These stats show New York City FC`s solid, reliable contributions that are in line with the majority of players in his position.
#9
New York City FC
697
#10
Vancouver Whitecaps FC
693
#11
Nashville SC
657
#12
FC Cincinnati
646
No.
Player
Value
#9
New York City FC
697
#10
Vancouver Whitecaps FC
693
#11
Nashville SC
657
#12
FC Cincinnati
646
#13
New England Revolution
617
#14
Seattle Sounders FC
616
#15
Los Angeles Galaxy
611
#16
Los Angeles FC
604
#17
Minnesota United FC
603
#18
CF Montréal
593
#19
Columbus Crew
574
#20
Real Salt Lake City
570
#21
San Jose Earthquakes
560
#22
Toronto FC
536
#23
Atlanta United FC
522
#24
D.C. United
521
#25
Orlando City SC
519
#26
Sporting Kansas City
512
#27
Colorado Rapids
508
#28
Houston Dynamo FC
501
#29
New York Red Bulls
458
#30
Philadelphia Union
451
#9
New York City FC
3143
#10
Houston Dynamo FC
3011
#11
New York Red Bulls
2980
#12
Charlotte FC
2890
No.
Player
Value
#9
New York City FC
3143
#10
Houston Dynamo FC
3011
#11
New York Red Bulls
2980
#12
Charlotte FC
2890
#13
Philadelphia Union
2876
#14
Orlando City SC
2873
#15
Atlanta United FC
2805
#16
Austin FC
2774
#17
FC Cincinnati
2673
#18
Portland Timbers
2668
#19
Real Salt Lake City
2613
#20
Chicago Fire FC
2574
#21
Nashville SC
2565
#22
Colorado Rapids
2552
#23
San Jose Earthquakes
2504
#24
New England Revolution
2461
#25
St. Louis CITY SC
2246
#26
FC Dallas
2196
#27
Toronto FC
2156
#28
CF Montréal
2117
#29
D.C. United
1962
#30
Minnesota United FC
1854
Weak Stats
These are the areas where New York City FC`s performance falls below the league average.
#13
New York City FC
487
#14
Sporting Kansas City
483
#15
Los Angeles Galaxy
466
#16
Chicago Fire FC
463
No.
Player
Value
#13
New York City FC
487
#14
Sporting Kansas City
483
#15
Los Angeles Galaxy
466
#16
Chicago Fire FC
463
#17
FC Cincinnati
457
#18
Charlotte FC
450
#19
Portland Timbers
439
#20
Atlanta United FC
434
#21
Austin FC
431
#22
Houston Dynamo FC
427
#23
Real Salt Lake City
417
#24
FC Dallas
412
#25
D.C. United
407
#26
Colorado Rapids
402
#27
New England Revolution
374
#28
New York Red Bulls
373
#29
CF Montréal
362
#30
Toronto FC
305
#13
New York City FC
1532
#14
Austin FC
1511
#15
New York Red Bulls
1475
#16
Charlotte FC
1467
No.
Player
Value
#13
New York City FC
1532
#14
Austin FC
1511
#15
New York Red Bulls
1475
#16
Charlotte FC
1467
#17
Orlando City SC
1436
#18
Nashville SC
1411
#19
Houston Dynamo FC
1410
#20
New England Revolution
1403
#21
St. Louis CITY SC
1366
#22
Minnesota United FC
1363
#23
FC Dallas
1361
#24
CF Montréal
1320
#25
Sporting Kansas City
1307
#26
D.C. United
1274
#27
Philadelphia Union
1243
#28
San Jose Earthquakes
1230
#29
Colorado Rapids
1213
#30
Toronto FC
1183
Performance per season
Historical Standings
Expected Threat & Involvement Analysis
New York City FC has an Expected Threat of 9455.95 - ranking 8 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
New York City FC has an Expected Threat against of 830.38 - placing them 5 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
New York City FC recorded 346 Critical ball losses - ranking 23 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. | 9455.95 |
| 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. | 830.38 |
| 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. | 346 |
| 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. | 2408 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.09 |
Ratings and Scores
Compare New York City 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 New York City 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, | 68.99 |
| 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. | 64.19 |
| 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 | 65.95 |
| Offensive interventions | 138.31 |
Goals & Assists New York City FC
| Goals | 62 |
| Assists ⓘ Creating goals, playing the final pass. | 50 |
| Goals by long distance shot ⓘ Goal after a shot from more than 22 metres | 1 |
| Goals by head ⓘ Goals by head | 4 |
| Penalty goals ⓘ Penalty goals | 5 |
| Goals by freekick ⓘ Goals by freekick | 0 |
| Goals by foot | 46 |
| Shots on Goal | 315 |
| Shots on goal / Goal Ratio ⓘ Describes the ratio of shots on goal and the number of goals. The ideal value would be 100% - every shot is a goal. | 9.12 |
Goals & Shots conceded New York City FC
| Goals conceeded | 46 |
| Goals by head conceeded | 5 |
| Goals by foot conceeded | 38 |
| Shots on goal conceeded | 327 |
| Goals per 90 min conceeded | 1.18 |
Passing and Ball progression New York City FC
| Progressive passes (PrgP) ⓘ Number of successful offensive actions by a player or a team (dribblings, passes, crosses) | 7790 |
| 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 | 6012 |
| Total successful passes by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 13831 |
| Total successful passes by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 199 |
| Total successful passes by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 329 |
| Total successful passes by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 628 |
| Total successful passes by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 80 |
| 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. | 1401 |
| 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. | 3736 |
| 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. | 8611 |
| 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. | 3143 |
| Total successful passes from opponents box ⓘ Pass that reaches the teammate. | 193 |
| Total successful passes from right wing ⓘ Pass that reaches the teammate. | 3415 |
| Total successful passes from right half space ⓘ Pass that reaches the teammate. Here played FROM right half space | 2644 |
| Total successful passes from centre ⓘ Pass that reaches the teammate. Here from the center. | 4294 |
| Total successful passes from left half space ⓘ Pass that reaches the teammate. Here from the left half space | 2801 |
| Total successful passes from left wing ⓘ Pass that reaches the teammate. Here from the left wing. | 3930 |
| 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. | 2408 |
| Succesful passes in % by low pass ⓘ Pass that reaches the teammate. in this case a diagonal pass. | 90.89 |
| Succesful passes in % by diagonal pass ⓘ Pass that reaches the teammate. In this case a diagonal pass. | 59.05 |
| Succesful passes in % by throw-ins ⓘ Pass that reaches the teammate. In this case after a throw in. | 90.23 |
| Succesful passes in % by corners ⓘ Pass that reaches the teammate. In this case after a corner. | 51.95 |
| Succesful passes in % by clearance by foot ⓘ Pass that reaches the teammate. in this case a low pass. In this case a clearance. | 41.54 |
| 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. | 68.78 |
| 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. | 78.39 |
| 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. | 85.41 |
| 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. | 77.24 |
| Succesful passes in % from opponents box ⓘ Pass that reaches the teammate. | 48.37 |
| Succesful passes in % from left wing ⓘ Pass that reaches the teammate. Here from the left half space | 78.24 |
| Succesful passes in % from left half space ⓘ Pass that reaches the teammate. Here from the left wing. | 81.71 |
| Succesful passes in % from centre ⓘ Pass that reaches the teammate. Here from the center. | 80.99 |
| Succesful passes in % from right half space ⓘ Pass that reaches the teammate. | 82.04 |
| Succesful passes in % from right wing ⓘ Pass that reaches the teammate. Here played FROM right half space | 78.02 |
Ball contacts & phases of play New York City 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. | 11777 |
| 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". | 3816 |
| 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. | 1044 |
| 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" | 1319 |
| Defensive touches in phase Out of Possession ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1854 |
| Defensive touches in phase Defensive Transition ⓘ Ball contacts in defensive play (when opposition team has been in possession). | 1516 |
| 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. | 1117 |
| 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". | 962 |
| Total touches in phase Set Pieces | 2161 |
| Total touches in phase Second ball | 2281 |
Ball losses New York City 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. | 346 |
| Ball losses by low passes ⓘ Pass that goes to the opponent or out of play. Here by low pass | 1386 |
| Ball losses by diagonal pass ⓘ Pass that goes to the opponent or out of play. Here by diagonal pass. | 138 |
| Ball losses by clearance by foot ⓘ Pass that goes to the opponent or out of play. Here by clearance. | 463 |
| Ball losses by headers ⓘ Pass that goes to the opponent or out of play. Here by headers. | 730 |
| Ball losses by throw-in ⓘ Pass that goes to the opponent or out of play. Here after a throw in. | 68 |
| Ball losses by corners ⓘ Pass that goes to the opponent or out of play. Here by corners | 74 |
| 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’ | 636 |
| 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 | 1030 |
| 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 | 1471 |
| 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’ | 926 |
| 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’ | 206 |
| Ball losses total | 4269 |
Ball regains New York City FC
| Ball regains total ⓘ Number of offensive captures of the ball. Conquering the ball after the opponent's pass. | 5394 |
| 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 | 449 |
| 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 | 1484 |
| 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 | 1892 |
| 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 | 678 |
| 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 | 147 |
Defensive New York City FC
| Ground duels won ⓘ Won ground duel. | 1296 |
| Ground duels lost ⓘ Lost ground duel. | 1122 |
| Ariel duels won ⓘ Won aerial duel. | 377 |
| Ariel duels lost ⓘ Lost aerial duel. | 395 |
| 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. | 1242 |
| 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. | 693 |
| 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. | 1172 |
| 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. | 655 |
| Tackles | 2418 |
| Clearances by foot | 858 |
| Ground duels total | 2418 |
| Ground duels won % | 53.6 |
| Ground duels lost % | 46.4 |
| Ariel duels total | 772 |
| Ariel duels won % | 48.83 |
| Ariel duels lost % | 51.17 |
| Defensive stability ⓘ The ability to defend well | 1201.8 |
Dribbles New York City FC
| Progressive carries (PrgC) ⓘ Number of successful offensive dribblings with bypassed opponents by a player or a team | 1485 |
| Succesful dribbles | 14365 |
Elimination actions & Pitch New York City FC
| Number of offensive actions from own box ⓘ The number of opponents a player or team has outplayed from their own box. | 697 |
| Number of offensive actions from 1st part of pitch ⓘ The number of opponents a player or team has outplayed FROM the first third. | 1838 |
| Number of offensive actions from 2nd part of pitch ⓘ The number of opponents a player or team has outplayed FROM the middle third | 3556 |
| Number of offensive actions from 3rd part of pitch ⓘ The number of opponents a player or team has outplayed from the final third | 1328 |
| 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 | 1273 |
| 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 | 3652 |
| 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 | 1921 |
| 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 | 487 |
| 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 | 1688 |
| 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 | 1134 |
| 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 | 1532 |
| 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 | 1163 |
| 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 | 2001 |
| 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 | 1025 |
| 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 | 2974 |
| 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 | 1513 |
| 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 | 378 |
xG New York City 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. | 59.87 |
| 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. | 59.87 |
| 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) | 2.8 |
| Xg with head ⓘ Shot-based xG tell how high the scoring probability of a goal shot is, taking into account many parameters. Here based on a header. | 5.45 |
| 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 | 5.46 |
| Xg Ratio ⓘ The ratio of the Xg value in relation to the goals scored. The lower the value, the better the goalscorer. | 1.09 |
| Open play Xg ⓘ Open play Xg value | 53.55 |
| Set piece Xg ⓘ Set piece Xg | 6.28 |
| Xg average per shot ⓘ Xg average per shot | 0.13 |
| Xg with foot ⓘ Xg with foot | 48.1 |
| 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. | -4.87 |
| 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. | -1.45 |
| 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. | 54.42 |
| 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. | -0.82 |
| 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. | -1.8 |
| 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. | 3.42 |
Comments (0)