Posts Tagged “hadoop”
The data collected from Valve’s API contains a plethora of information about relationships between heroes, teams, and winrates. This data lends itself to the construction of graphs depicting the relationships. This has a twofold purpose:
- To assess the integrity of the collected data. If the graphs that come out don’t line up with the common strategic thinking about the heroes then additional stratification is necessary (most likely by game skill bracket).
- To explore the data set to see what hero combinations are popular along with showing which combinations work well and which don’t.
Dota 2 captain’s mode entails a drafting phase where a sequence of picks and bans are issued by the team captains. As of this writing, there have been 1,933,725,512 total matches of Dota 2 played, in all modes. It may be possible now with this body of data to build a machine learning algorithm for prediction and for drafting suggestions.