I've been to an event where Burke spoke 2 years ago. He said that value of hockey analytics is not in the performance stats alone. His words: "a good player on a ####ty team will have ####ty stats; a bad player on a good team will have good stats." He went further on to say that dismissing modern hockey analytics is inexcusable. The value of it for staff and players comes from statistically repetitive details that can be analyzed, summarized and presented to both for the follow-up action (corrective or reaffirming). Examples are: success of a certain specific face-off movement for a specific player, player's shooting success percentage from a specific position on ice, patterns in players' performance after various traveling/resting/training events etc. That's how deep and microscopic they go. The variety of stats available today is enormous.
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"An idea is always a generalization, and generalization is a property of thinking. To generalize means to think." Georg Hegel
“To generalize is to be an idiot.” William Blake
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