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Heuristics in fantasy sports: is it profitable to strategize based on favourite of the match?

机译:幻想运动中的启发式:基于比赛的最爱策略是有利可图的吗?

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In fantasy sports, the goal is to gain as many points as possible. To get there, users have to choose players with the optimal price-to-performance ratio. However, finding these optimal players requires a great amount of time and effort, in which the users might not be willing to invest. Instead, they can use heuristic strategies. This paper investigates one such strategy for choosing squads based on the assumption that athletes starting for the favourite team of the match would bring users more points-in line with the representativeness heuristic. The data come from the Czech fantasy league according to the Premier League in the season 2015-16. The econometric model examines the percentage of squads a player was chosen into. The Ordinary Least Squares method used here uses control variables indicating performance, price, Czech nationality, and the game position of the athletes. The results show that users choose their squads primarily based on players' past performances, but also take the favourite team into account. By applying the latter heuristic users aim to simplify the process decision-making but they overestimate the impact of belonging to a favourite team.
机译:在幻想运动中,目标是获得尽可能多的积分。要到达那里,用户必须选择具有最佳性价比的玩家。但是,找到这些最佳玩家需要大量的时间和精力,用户可能不愿意投资。相反,他们可以使用启发式策略。本文调查了一种选择队伍选择队伍的一个策略,基于运动员为比赛最喜欢的团队创造的运动员会带来更多点,与代表性启发式。数据来自捷克幻想联盟,根据季节2015-16赛季的英超联赛。计量计量模型检查了选中球员的队列百分比。这里使用的普通最小二乘法使用控制变量,指示性能,价格,捷克语国籍和运动员的游戏位置。结果表明,用户主要根据玩家的过去的表演选择他们的小队,而是考虑到最喜欢的团队。通过应用后一种启发式用户旨在简化过程决策,但他们高估了属于最喜欢的团队的影响。

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