grim-thesoloist

Oh I know, this is not going to be the determining factor but one of the factors that will be used in trying to predict the outcome. those ratios mean: ie. allu 1.81 from all the times where he tried to do the entry kill, he succeeded 154 times, and failed 85 times. so 154 successfull over 239. in other words, 154 entry kills, and 85 entry deaths

Hello, my name is Fred I am trying to predict the outcome of competitive counter-strike global offensive matches by using data that I stored. Matches are 5v5 and there are 30 rounds per match Entry kill ratio: the ratio at which the players manage to make the entry kill (kill the first enemy without dying) The data that I have: TEAM 1 : allu 1.81, get_right 1.18, forest 1.17, friberg 0.8, xizt 1.27, AVERAGE 1.246 This is the entry kill ratio for each player for this team on this particular map. Round win % after getting first (entry) kill: 77.22% TEAM 2: maniac 0.95, x6 1.01, kennys 1.48, rpk 0.97, apex 0.91, AVERAGE 1.064 This is the entry kill ratio for each player for this team on this particular map. Round win % after getting first (entry) kill: 72.78% I know this is not an easy task, I'm usually pretty good with numbers but I've been bashing my head around this for over an hour and I cannot seem to figure it out. Trying to "predict" the outcome of a 30 round game, considering that as soon as a team reaches 16 rounds won, the game is over. If anyone has any idea how to do this, please let me know!! thanks