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Posts in category "DREAMHACK"
Dreamhack Open Fall 2020 final analyzed!
This week we analyzed the final match of DreamHack Open Fall 2020, where Heroic won with Team Vitality in a 5-map thriller! Stats explanation: DMG Sources - Sum of damage sources during the match (f.e. if a player will receive a damage from 5 enemies during the round, there will be 5 damage sources); AK-47 HS % - Sum of AK-47 head hits divided to all hits; Exit kills - Sum of kills achieved within the time frame after a round has completed and before the next round starts; Flash assists
DreamHack Showdown Summer NA Analyzed
DreamHack Showdown Summer was created to activate female CS:GO scene in both EU and NA. In the European series of the tournament Originem showed, that they fear no-one. In NA, after a very interesting final, CLG Red managed to win $10,000! We decided to analyze all matches from DreamHack Showdown Summer North America! In GGPredict we believe that CS:GO is not a game just about shooting. We work on understanding every single aspect of the game from an analytical perspective. Come by and
NA DreamHack Masters Spring analyzed by GGPredict!
Thanks for your interest and comments regarding our analysis of the European DreamHack Masters Spring 2020. Encouraged, we thought that today, it’s time for NA! Same as yesterday, we took all the demos, decoded them and found out the most interesting data :) We would love to hear your thoughts and opinion - visit our website and if you want to get similar stats about your performance in CS:GO - subscribe to our beta tests (starting soon!).
DHMasters EU analyzed by GGPredict.io!
DreamHack tournaments have always been top events in CS:GO teams calendar. Everyone dreamed of being part of them. This year, DreamHack Masters Spring, due to the global pandemic, was played online. After the great game versus G2 Esports, BIG Clan became the champion of the European series. We decided to analyze every match and find the most interesting data! GGPredict is a group of CS:GO fans that see the world of eSports from an analytical perspective. Thanks to our experience in data sc
