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Zoheb Borbora, Jaideep Srivastava, Kuo-Wei Hsu, and Dmitri Williams.Hazard rates are also presented for the leading indicators, with results showing that duration between matches played is a strong indicator of potential churn. Survival Analysis forms a useful approach for the churn prediction problem as it provides rates as well as an assessment of the characteristics of players who are at risk of leaving the game. Here, a solution to the problem is presented based on the application of survival analysis, using Mixed Effects Cox Regression, to predict player churn. The objective of the work presented here is to understand the impact of specific behavioral characteristics on the likelihood of a player continuing to play the esports title League of Legends. Being able to predict when players are about to leave the game - churn prediction - is therefore an important solution for companies in the rapidly growing esports sector, as this allows them to take action to remedy churn problems. For esports companies, the trends in players leaving their games therefore not only provide information about potential problems in the user experience, but also impacts revenue. Furthermore, esports game revenues are increasingly driven by in-game purchases. The moment you take that one down, the minimap will indicate the elemental type of the next.īoth sides will always know which dragon spawns next, and multiple elemental buffs will stack on each other, making you even stronger in that aspect.Multi-player online esports games are designed for extended durations of play, requiring substantial experience to master. When we came to Dragon, we realized that most individual buffs would simply shift its balance back and forth between “nice to have” and “mandatory,” so we instead set out to create a unique ecosystem of adaptation that augments a variety of team compositions and strategies.įor the first 35 minutes of the game, one of four elemental dragons will spawn. We saw that early to mid objectives (aside from turrets) were struggling to stay relevant in many games, and so began investigating ways to augment those decisions during mid-season. Active - Stasis: Put yourself in Stasis for a few seconds, rendering yourself untargetable and invulnerable for the duration, but also unable to move, attack, cast spells, or use items during this time.