OpenML
FootballPlayersDataset

FootballPlayersDataset

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context This dataset is a mixage of Fifa 19 Football Player Dataset and Real World Statistics about of them. Content You can find whatever you want from a soccer data like Goals,Assists,Preferred foot Overall, Market Value etc. Link of the Fifa19 Dataset which i made changes.. https://www.kaggle.com/karangadiya/fifa19

53 features

Unnamed:_0numeric491 unique values
0 missing
IDnumeric491 unique values
0 missing
Namestring491 unique values
0 missing
Agenumeric21 unique values
0 missing
Nationalitystring66 unique values
0 missing
Clubstring107 unique values
0 missing
Preferred_Footstring2 unique values
0 missing
International_Reputationnumeric5 unique values
0 missing
Weak_Footnumeric5 unique values
0 missing
Skill_Movesnumeric4 unique values
0 missing
Heightstring15 unique values
0 missing
Weightstring37 unique values
0 missing
Crossingnumeric67 unique values
0 missing
Finishingnumeric66 unique values
0 missing
HeadingAccuracynumeric63 unique values
0 missing
ShortPassingnumeric40 unique values
0 missing
Volleysnumeric65 unique values
0 missing
Dribblingnumeric51 unique values
0 missing
Curvenumeric64 unique values
0 missing
FKAccuracynumeric68 unique values
0 missing
LongPassingnumeric57 unique values
0 missing
BallControlnumeric42 unique values
0 missing
Accelerationnumeric59 unique values
0 missing
SprintSpeednumeric55 unique values
0 missing
Agilitynumeric57 unique values
0 missing
Reactionsnumeric39 unique values
0 missing
Balancenumeric62 unique values
0 missing
ShotPowernumeric45 unique values
0 missing
Jumpingnumeric61 unique values
0 missing
Staminanumeric51 unique values
0 missing
Strengthnumeric56 unique values
0 missing
LongShotsnumeric60 unique values
0 missing
Aggressionnumeric64 unique values
0 missing
Interceptionsnumeric79 unique values
0 missing
Positioningnumeric60 unique values
0 missing
Visionnumeric57 unique values
0 missing
Penaltiesnumeric59 unique values
0 missing
Composurenumeric46 unique values
0 missing
Markingnumeric76 unique values
0 missing
StandingTacklenumeric80 unique values
0 missing
SlidingTacklenumeric79 unique values
0 missing
Games_Playednumeric30 unique values
0 missing
Games_Startednumeric37 unique values
0 missing
Minutes_Playedstring422 unique values
0 missing
Goalsnumeric24 unique values
0 missing
Assistsnumeric16 unique values
0 missing
ShotsOnGoalnumeric57 unique values
0 missing
Shotsnumeric114 unique values
0 missing
Yellow_Cardnumeric15 unique values
0 missing
Red_Cardnumeric3 unique values
0 missing
Potentialnumeric28 unique values
0 missing
Overallnumeric32 unique values
0 missing
Valuestring142 unique values
0 missing

19 properties

491
Number of instances (rows) of the dataset.
53
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
0
Number of missing values in the dataset.
0
Number of instances with at least one value missing.
45
Number of numeric attributes.
0
Number of nominal attributes.
0.11
Number of attributes divided by the number of instances.
84.91
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
0
Percentage of instances having missing values.
Average class difference between consecutive instances.
0
Percentage of missing values.

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