Data
Football_players_Fifa_stats

Football_players_Fifa_stats

active ARFF Public Domain (CC0) Visibility: public Uploaded 15-11-2019 by Matteo Caorsi
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The dataset contains all the statistics for each player from 2008 to 2016.

42 features

idnumeric183978 unique values
0 missing
player_fifa_api_idnumeric11062 unique values
0 missing
player_api_idnumeric11060 unique values
0 missing
datestring197 unique values
0 missing
overall_ratingnumeric61 unique values
836 missing
potentialnumeric56 unique values
836 missing
preferred_footstring2 unique values
836 missing
attacking_work_ratestring8 unique values
3230 missing
defensive_work_ratestring19 unique values
836 missing
crossingnumeric95 unique values
836 missing
finishingnumeric97 unique values
836 missing
heading_accuracynumeric96 unique values
836 missing
short_passingnumeric95 unique values
836 missing
volleysnumeric93 unique values
2713 missing
dribblingnumeric97 unique values
836 missing
curvenumeric92 unique values
2713 missing
free_kick_accuracynumeric97 unique values
836 missing
long_passingnumeric95 unique values
836 missing
ball_controlnumeric93 unique values
836 missing
accelerationnumeric86 unique values
836 missing
sprint_speednumeric85 unique values
836 missing
agilitynumeric81 unique values
2713 missing
reactionsnumeric78 unique values
836 missing
balancenumeric81 unique values
2713 missing
shot_powernumeric96 unique values
836 missing
jumpingnumeric79 unique values
2713 missing
staminanumeric84 unique values
836 missing
strengthnumeric82 unique values
836 missing
long_shotsnumeric96 unique values
836 missing
aggressionnumeric91 unique values
836 missing
interceptionsnumeric96 unique values
836 missing
positioningnumeric95 unique values
836 missing
visionnumeric97 unique values
2713 missing
penaltiesnumeric94 unique values
836 missing
markingnumeric95 unique values
836 missing
standing_tacklenumeric95 unique values
836 missing
sliding_tacklenumeric94 unique values
2713 missing
gk_divingnumeric93 unique values
836 missing
gk_handlingnumeric90 unique values
836 missing
gk_kickingnumeric97 unique values
836 missing
gk_positioningnumeric94 unique values
836 missing
gk_reflexesnumeric92 unique values
836 missing

62 properties

183978
Number of instances (rows) of the dataset.
42
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
47301
Number of missing values in the dataset.
3624
Number of instances with at least one value missing.
38
Number of numeric attributes.
0
Number of nominal attributes.
2.96
Maximum skewness among attributes of the numeric type.
6.59
Minimum standard deviation of attributes of the numeric type.
First quartile of entropy among attributes.
-0.16
Third quartile of skewness among attributes of the numeric type.
136927.84
Maximum standard deviation of attributes of the numeric type.
Percentage of instances belonging to the least frequent class.
-0.5
First quartile of kurtosis among attributes of the numeric type.
18.6
Third quartile of standard deviation of attributes of the numeric type.
Average entropy of the attributes.
Number of instances belonging to the least frequent class.
49.81
First quartile of means among attributes of the numeric type.
Standard deviation of the number of distinct values among attributes of the nominal type.
0.83
Mean kurtosis among attributes of the numeric type.
0
Number of binary attributes.
First quartile of mutual information between the nominal attributes and the target attribute.
10405.8
Mean of means among attributes of the numeric type.
-0.74
First quartile of skewness among attributes of the numeric type.
Average class difference between consecutive instances.
Average mutual information between the nominal attributes and the target attribute.
13.14
First quartile of standard deviation of attributes of the numeric type.
Entropy of the target attribute values.
An estimate of the amount of irrelevant information in the attributes regarding the class. Equals (MeanAttributeEntropy - MeanMutualInformation) divided by MeanMutualInformation.
Second quartile (Median) of entropy among attributes.
0
Number of attributes divided by the number of instances.
Average number of distinct values among the attributes of the nominal type.
0.25
Second quartile (Median) of kurtosis among attributes of the numeric type.
Number of attributes needed to optimally describe the class (under the assumption of independence among attributes). Equals ClassEntropy divided by MeanMutualInformation.
-0.13
Mean skewness among attributes of the numeric type.
57.57
Second quartile (Median) of means among attributes of the numeric type.
Percentage of instances belonging to the most frequent class.
6432.61
Mean standard deviation of attributes of the numeric type.
Second quartile (Median) of mutual information between the nominal attributes and the target attribute.
Number of instances belonging to the most frequent class.
Minimal entropy among attributes.
-0.51
Second quartile (Median) of skewness among attributes of the numeric type.
Maximum entropy among attributes.
-1.4
Minimum kurtosis among attributes of the numeric type.
0
Percentage of binary attributes.
16.31
Second quartile (Median) of standard deviation of attributes of the numeric type.
7.45
Maximum kurtosis among attributes of the numeric type.
14.7
Minimum of means among attributes of the numeric type.
1.97
Percentage of instances having missing values.
Third quartile of entropy among attributes.
165671.52
Maximum of means among attributes of the numeric type.
Minimal mutual information between the nominal attributes and the target attribute.
0.61
Percentage of missing values.
0.88
Third quartile of kurtosis among attributes of the numeric type.
Maximum mutual information between the nominal attributes and the target attribute.
The minimal number of distinct values among attributes of the nominal type.
90.48
Percentage of numeric attributes.
66.99
Third quartile of means among attributes of the numeric type.
The maximum number of distinct values among attributes of the nominal type.
-1.71
Minimum skewness among attributes of the numeric type.
0
Percentage of nominal attributes.
Third quartile of mutual information between the nominal attributes and the target attribute.

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