The Roundup

Nation World HQ
July 25 2014 08:05AM

Roundup1

Trading a young star, stats for days, behind the Kesler trade talks, Draisaitl versus Bennett and more, all in this weeks roundup

Read Article | 42 Comments

CAPTAIN VIDEO AND FANCY STATS

Robin Brownlee
July 24 2014 02:24PM

Roger Neilson

Having more information to draw on when you're building or coaching a NHL team is never a bad thing, be it in the form of grainy VHS videotape or advanced stats and analytics.

Read Article | 55 Comments

The Log Off Podcast: with Jamie McLennan

Dimitri Filipovic
July 23 2014 11:55AM

475680973

Former NHL goaltender and current TSN/NHL Network analyst Jamie McLennan joined the show this week to discuss the usage of analytics in front offices around the league, the progressive acceptance of them in the mainstream, and how we can better understand and analyze the volatile goaltending position moving forward.

Read Article | 2 Comments

Leafs shake up front office, hire stats Hound Dubas (seriously)

Cam Charron
July 22 2014 09:28AM

kyle dubas picture

I was wondering when the first NHL team would jump on Kyle Dubas, the young Ontario Hockey League general manager who has turned around the Sault Ste. Marie Greyhounds program since his arrival. The Greyhounds have redefined the way they look for talent through the draft and how they break down player performance.

I did not think it would ever be the Toronto Maple Leafs, but this is apparently that new world.

Read Article | 16 Comments

dCorsi - Introductions

Steve Burtch
July 19 2014 12:00PM


3d-graph-tablet

Delta Corsi and Assessment of Individual Player Impacts on Possession Accounting for Usage


Statistical analysis of skaters in the NHL (and other hockey leagues) is a difficult and multifaceted process. At this point in the hockey analytics (or #fancystats) community one of the biggest problems with analyzing and assessing hockey play from a possession - and particularly defensive - perspective is tracking which players actually make a significant impact within a given system. Generally this has been tackled by assessing a player's results within the context of their usage, then comparing a variety of statistical metrics to those of their "usage" peers. The best tools available at this point are player usage charts (Vollman), which are now available in a few locations. Metrics have also been devised that consider expected goals (Parkatti) and expected shooting percentage (Pfeffer), and win contributions - i.e. Total Hockey Rating aka THoR (Schuckers and Curro).

The problem one typically finds with trying to analyze players in "context", is that eyeballing context isn't amazingly easy. We all know what tough minutes are generally speaking, i.e. facing top opposition; playing big minutes; starting in your own zone frequently; playing with weaker line-mates, etc. Unfortunately there are implicit assumptions and unfounded impressions floating around that very few people seem to have spent much energy on assessing. Work must be done to determine what combination of various factors have meaningful impacts, thus providing us with a context for interpreting each player's results. 

Read Article | 19 Comments