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An analysis of individual efforts of NHL players
 Houdek, Jakub ; Černý, Michal (advisor) ; Formánek, Tomáš (referee)
The thesis is focused on application of econometric methods in the area of sport statistics, specifically in the area of ice hockey. Datasets were extracted from the National Hockey League (NHL) website, from the RTSS (Real Time Scoring System) from seasons 2002/2003 to 2014/15 by using the R package nhlscrapr. The Analysis of these datasets is based on previous work by Brian Macdonald [1]. The result is an adjusted +/- statistics (plus - minus), which describes the individual performance of each player. These statistics were later used for an estimation of probability of advance of selected teams to the playoffs, assuming the selected team uses anticipated players. These estimations were obtained by usage of logistic regression. It was found out, that the predictive ability of these models is weak.
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