Data
Esports-matches-in-2020-pre-worlds

Esports-matches-in-2020-pre-worlds

active ARFF Database: Open Database, Contents: Database Contents Visibility: public Uploaded 24-03-2022 by Dustin Carrion
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  • Computer Systems Machine Learning
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Context All credit of this database goes to Tim Sevenhuysen of OraclesElixir.com. Im just uploading it here because I want to see what you guys do with this dataset before Worlds! Im super hyped! Teams The qualified teams are: ["G2 Esports", "Fnatic", "Rogue", "MAD Lions", "Team SoloMid", "FlyQuest", "Team Liquid", "Top Esports", "JD Gaming", "Suning", "LGD Gaming", "DAMWON Gaming", "DRX", "Gen.G", "Machi Esports", "PSG Talon", "INTZ", "Unicorns Of Love.CIS", "V3 Esports", "Rainbow7", "Legacy Esports", "Papara SuperMassive"] Go G2. Content All pro matches from regular season and playoffs of all pro teams (13 sept. 2020) Acknowledgements Again, Tim Sevenhuysen of OraclesElixir.com for creating and updating this dataset.

103 features

gameidstring5661 unique values
48 missing
datacompletenessstring2 unique values
0 missing
urlstring4656 unique values
0 missing
leaguestring24 unique values
0 missing
yearnumeric2 unique values
0 missing
splitstring7 unique values
4572 missing
playoffsnumeric2 unique values
0 missing
datestring5631 unique values
0 missing
gamenumeric5 unique values
0 missing
patchnumeric16 unique values
0 missing
playeridnumeric12 unique values
0 missing
sidestring2 unique values
0 missing
positionstring6 unique values
0 missing
playerstring1644 unique values
11330 missing
teamstring246 unique values
0 missing
championstring147 unique values
11330 missing
ban1string119 unique values
540 missing
ban2string124 unique values
486 missing
ban3string120 unique values
420 missing
ban4string140 unique values
648 missing
ban5string135 unique values
804 missing
gamelengthnumeric1441 unique values
0 missing
resultnumeric2 unique values
0 missing
killsnumeric42 unique values
0 missing
deathsnumeric42 unique values
0 missing
assistsnumeric92 unique values
0 missing
teamkillsnumeric42 unique values
0 missing
teamdeathsnumeric42 unique values
0 missing
doublekillsnumeric10 unique values
300 missing
triplekillsnumeric4 unique values
300 missing
quadrakillsnumeric3 unique values
50 missing
pentakillsnumeric2 unique values
50 missing
firstbloodnumeric2 unique values
250 missing
firstbloodkillnumeric2 unique values
11740 missing
firstbloodassistnumeric2 unique values
11990 missing
firstbloodvictimnumeric2 unique values
11990 missing
team_kpmnumeric5770 unique values
0 missing
ckpmnumeric4067 unique values
0 missing
firstdragonnumeric2 unique values
56786 missing
dragonsnumeric8 unique values
56650 missing
opp_dragonsnumeric8 unique values
56650 missing
elementaldrakesnumeric5 unique values
56850 missing
opp_elementaldrakesnumeric5 unique values
56850 missing
infernalsnumeric5 unique values
56850 missing
mountainsnumeric5 unique values
56850 missing
cloudsnumeric5 unique values
56850 missing
oceansnumeric5 unique values
56850 missing
dragons_(type_unknown)numeric7 unique values
63809 missing
eldersnumeric4 unique values
56836 missing
opp_eldersnumeric4 unique values
56836 missing
firstheraldnumeric2 unique values
56780 missing
heraldsnumeric3 unique values
56780 missing
opp_heraldsnumeric3 unique values
56780 missing
firstbaronnumeric2 unique values
57068 missing
baronsnumeric5 unique values
56650 missing
opp_baronsnumeric5 unique values
56650 missing
firsttowernumeric2 unique values
56730 missing
towersnumeric12 unique values
56650 missing
opp_towersnumeric12 unique values
56650 missing
firstmidtowernumeric2 unique values
56796 missing
firsttothreetowersnumeric2 unique values
56780 missing
inhibitorsnumeric9 unique values
17100 missing
opp_inhibitorsnumeric9 unique values
17100 missing
damagetochampionsnumeric33459 unique values
0 missing
dpmnumeric67488 unique values
0 missing
damagesharenumeric53038 unique values
11330 missing
wardsplacednumeric237 unique values
0 missing
wpmnumeric21464 unique values
0 missing
wardskillednumeric131 unique values
0 missing
wcpmnumeric14206 unique values
0 missing
controlwardsboughtnumeric90 unique values
0 missing
visionscorenumeric494 unique values
300 missing
vspmnumeric29540 unique values
300 missing
totalgoldnumeric23879 unique values
0 missing
earnedgoldnumeric22009 unique values
0 missing
earned_gpmnumeric67061 unique values
0 missing
earnedgoldsharenumeric50907 unique values
11330 missing
goldspentnumeric10337 unique values
300 missing
gspdnumeric11205 unique values
56700 missing
total_csnumeric606 unique values
11280 missing
minionkillsnumeric1258 unique values
3344 missing
monsterkillsnumeric394 unique values
0 missing
monsterkillsownjunglenumeric257 unique values
0 missing
monsterkillsenemyjunglenumeric94 unique values
0 missing
cspmnumeric44820 unique values
3344 missing
goldat10numeric6556 unique values
828 missing
xpat10numeric7259 unique values
828 missing
csat10numeric274 unique values
828 missing
opp_goldat10numeric6556 unique values
828 missing
opp_xpat10numeric7259 unique values
828 missing
opp_csat10numeric274 unique values
828 missing
golddiffat10numeric5341 unique values
828 missing
xpdiffat10numeric4497 unique values
828 missing
csdiffat10numeric199 unique values
828 missing
goldat15numeric10147 unique values
876 missing
xpat15numeric10825 unique values
876 missing
csat15numeric414 unique values
876 missing
opp_goldat15numeric10147 unique values
876 missing
opp_xpat15numeric10825 unique values
876 missing
opp_csat15numeric414 unique values
876 missing
golddiffat15numeric8497 unique values
876 missing
xpdiffat15numeric6905 unique values
876 missing
csdiffat15numeric299 unique values
876 missing

19 properties

67980
Number of instances (rows) of the dataset.
103
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
1527593
Number of missing values in the dataset.
67980
Number of instances with at least one value missing.
87
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
84.47
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.
100
Percentage of instances having missing values.
Average class difference between consecutive instances.
21.82
Percentage of missing values.

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