![]() But, this may be explained by the fact that there was a bug in the 0.16 version of the game which doubled player melee damage. So, if you are rating tournaments on how many games and players a tournament attracts over normal game traffic, the 0.16 tournament is the clear winner. If we look at the relative impact percentage of all the tournaments, we can see a big spike in the 0.16 tournament. Let getRelativeEffects columnName = allResults |> List. Once all of these sessions complete, we can easily download all of the results. ToString ( "o" ), null, None, null ) ) |> Seq. SessionsCreateImpactSession ( "DCSS", columnName, tournament. Type Tournament = ] let allRequests = allTournaments |> List. We can easily start an impact session for the combination of all tournaments and each of the data columns that were uploaded. We can repeat this process for all of the tournaments. Using the Data property, we can see what the measured increase was over a normal time period, as if the tournament did not occur. The returned metrics contain information about how impactful the tournament was on the win count. This was an increase of 179.700000% over what would have normally occurred during the same time period. There were a total number of 1116.609500 additional wins over normal levels during the entire tournament. There was a strong indication that the tournament caused more games to be won than there normally would have been, since the pValue calculated was 0.000200. map map map map map map map map map map map map map map map |]Īnd, the Metrics property contains information about the measured impact of the tournament. To give an idea of the difficulty level, this is the percent of winning games in our dataset. We are going to see just how many extra games are played during tournaments. Since DCSS is very difficult, large numbers of games must be played in order to get a competitive tournament score. Bonus points can also be earned by meeting special requirements during gameplay, such as winning in the fewest turns, or by getting the highest score. Players form teams and earn points by winning games. All online games played on the public servers are counted towards a player’s tournament score. You can find the full source-code for this tutorial on GitHub: Tournament GamesĮvery time a new major version of DCSS is released, a player tournament is held. We will be using the Nexosis API to measure impact analysis using machine learning algorithms. Specifically, we will be looking at what happens to the number of Games, Players, and Wins during tournaments. This server has records of games going all the way back to 2006, but, we are only going to look at the last few years of data. In this example, we are going to take a look at online games from one of the servers. The game can be downloaded and played locally, or it can be played online in a web browser. ![]() Dungeon Crawl Stone Soup is a roguelike game which has been in active open source development since 2006.
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