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A data analysis project on the impact of anonymous players on a Dota 2 match outcome.

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Anonynoob

This is a data analysis exercise I decided to do after hearing the "nothing to hide" theory for Dota 2 player's data. I'm playing the devil's advocate and trying to prove that theory using publicly available data on www.dotabuff.com (sorry for the heavy scraping guys!).

Theory

"Nothing to hide": anonymous players negatively impact the performance of their team Meaning: if a team has a higher number of anonymous players, its odds to win are lower

Learnings so far

  1. Anonymous players are the majority of players
  2. Overall they do not affect a match result

** But I need more data to test the advanced theory: a big disparity in anonymous players between the teams will negatively impact the match outcome.**

Stuff to test

  • Straightforward global test
  • Amount of difference in anonymous players to make an impact
  • Whether the high number of anonymous players in a game makes the outcome hard to predict

Expected results

  • Overall anonymous have very low impact
  • There will be a sweet spot where they have a significant impact, ex: the 3 anonymous players are all in one team

Why am I doing this?

  • Prove that anonymous players are not intrinsically bad: many valid reasons to be anonymous other than hiding your poor performance
  • Prove that a bad repartition of anonymous players can skew the results of the game, thus proving the need of balancing the amount of anonymous players via matchmaking (maybe a recommendation for Valve)

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A data analysis project on the impact of anonymous players on a Dota 2 match outcome.

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