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Percentage of Corsi-events-for Resulting in a Scoring-chance-for; Relative to a Replacement

By Kicks @Chrisboucher73
This post will focus on the percentage of even-strength "CORSI-for" events that resulted in a scoring-chance. It will compare each player's result with the result produced by an average player playing the same position. The higher the percentage above replacement the more involved each player was in creating scoring-chances while they were on the ice. A player is credited with a scoring-chance only when he is directly involved in the play that produced the scoring-chance. The calculation is done by taking the number of scoring-chances each player was involved in creating and dividing it by the number of corsi-for events that occurred while the player was on the ice.
These numbers take corsi-events and use them to tell a more indicative story about players' offensive-contributions.
A list of all the metrics I track can be found here
The calculate a player's efficiency above-replacement, we simply subtract the average value for a player who played the same position from that player's own value.
Only even-strength events were used in this calculation.
Thomas Vanek helped produce nearly 7% more scoring-chances per-Corsi-for event that occurred while he was on the ice.  Expressed more simply, nearly 7% more of the shots that the Canadiens attempted on the opposition's net while Vanek was on the ice were scoring-chances produced by Vanek himself. Max Pacioretty helped produce 3% more scoring-chances per-corsi events while on the ice, while Dale Weise and Ryan White's high above-replacement values are the likely product of smaller sample sizes.
Alex Galchenyuk actually helped produce 3% fewer scoring-chances per corsi-for event compared to an average Habs winger.
Among defensemen, the trio of PK Subban, Andrei Markov, and Nathan Beaulieu were once again the leaders in an offensive-metric.

CORSI-FOR PER-60 RELATIVE TO REPLACEMENT


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