Data
Football-striker-performance

Football-striker-performance

active ARFF CC0: Public Domain Visibility: public Uploaded 23-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context The aim of this dataset is to offer in a relatively small number of columns (30) data to compare the performance of some football players, or to compare the efficiency of strikers in-between different European leagues. Content Inside the dataset are some performance indicators (goals, assists, minutes played, games played) for football strikers over (up to) the last 5 years. Acknowledgements The data was extracted from https://www.transfermarkt.co.uk

32 features

12/13_assistsnumeric22 unique values
375 missing
12/13_gamesnumeric57 unique values
375 missing
12/13_goalsnumeric38 unique values
375 missing
12/13_minutesnumeric700 unique values
375 missing
13/14_assistsnumeric22 unique values
263 missing
13/14_gamesnumeric56 unique values
263 missing
13/14_goalsnumeric37 unique values
263 missing
13/14_minutesnumeric790 unique values
263 missing
14/15_assistsnumeric20 unique values
155 missing
14/15_gamesnumeric60 unique values
155 missing
14/15_goalsnumeric37 unique values
155 missing
14/15_minutesnumeric884 unique values
155 missing
15/16_assistsnumeric22 unique values
93 missing
15/16_gamesnumeric58 unique values
93 missing
15/16_goalsnumeric41 unique values
93 missing
15/16_minutesnumeric939 unique values
93 missing
16/17_assistsnumeric23 unique values
42 missing
16/17_gamesnumeric59 unique values
42 missing
16/17_goalsnumeric41 unique values
42 missing
16/17_minutesnumeric969 unique values
42 missing
17/18_assistsnumeric17 unique values
21 missing
17/18_gamesnumeric45 unique values
21 missing
17/18_goalsnumeric34 unique values
21 missing
17/18_minutesnumeric947 unique values
21 missing
agenumeric23 unique values
0 missing
current_clubstring191 unique values
0 missing
current_leaguestring10 unique values
0 missing
footstring3 unique values
53 missing
heightnumeric39 unique values
18 missing
namestring1173 unique values
0 missing
nationalitystring285 unique values
0 missing
positionstring2 unique values
0 missing

19 properties

1177
Number of instances (rows) of the dataset.
32
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
3867
Number of missing values in the dataset.
439
Number of instances with at least one value missing.
26
Number of numeric attributes.
0
Number of nominal attributes.
0.03
Number of attributes divided by the number of instances.
81.25
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.
37.3
Percentage of instances having missing values.
Average class difference between consecutive instances.
10.27
Percentage of missing values.

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