Toronto Maple Leafs Forward Evaluations

[hobie]

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Metrics Used

Most metrics are relative to team performance. They show how the team performs in that metric when the player is on the ice compared to when they are not. For example, relative shots per 60 minutes is shots per 60 when the player is on the ice minus shots per 60 when the player is off the ice. All data is 5v5 only and adjusted for score, venue, and zone starts via Corsica. Numbers are presented as percentiles comparing each player to others at the same positions. For forwards, this includes the top 390 players in ice time in 2016-2017. Percentiles indicate the percentage of observations within a sample that fall below a given value. For example, let’s say I have a friend named Joey, who owns a Rattata. Joey claims that his Rattata is in the ‘top percentile’ of Rattata’s. Essentially, he is saying that his Rattata is in the 99th percentile of Rattata’s, or that 99% of Rattata’s in the world measure below his. So similarly, if I say Auston Matthews is in the 98th percentile for Game Score, that means that 98% of players rank below him in that metric. Throughout this piece, being at the high end of the percentile is good, and being at the low end is bad.

http://www.pensionplanpuppets.com/2017/5/9/15575326/toronto-maple-leafs-forward-evaluations-matthews-nylander-marner-kadri

 

Are you a Hyman fan, a Komarov fan and according to fancy stats are they heroes or zeros, well here's the answer.