Short Shifts - Canadian Takeover

Shams and special guest Derrick give you an all Canadian cast during this American Thanksgiving. They go over a list of ambiguous injuries and what actions you can take for now. They also provide information on a group of players that are nearing a return. After that, they cover a spread of big name and lesser known players that are hot streaks that can help you out regardless of how shallow or deep your league is. Lastly, two California cold streaks are covered which the hosts give their permission to drop. Players discussed: Pavel Buchnevich, Roope Hintz, Filip Hronek, Chris Kreider, Tage Thompson, JJ Peterka, Mikael Granlund, Auston Matthews, Matthew Knies, Patrik Laine, Zach Werenski, Yegor Sharangovich, Macklin Celebrini, Will Smith, Adam Gaudette, Jonathan Marchessault, John Gibson, Mackenzie Blackwood & Trevor Moore. Join the Keeping Karlsson patron community.. and the KKUPFL! Patrons get KKUPFL invitations, plus monthly bonus AMA episodes, and full access to our incredible, inclusive, informative, moderated patrons-only Discord server. Want to stay up to date on all the latest NHL line combos, goalie starts and fantasy news, all sorted by team? Visit the absolutely essential GameDayTweets.com. We always invite and appreciate your feedback. Let us know what you think @keepingkarlsson, and if you love the show, please rate and write us a five-star review on Apple Podcasts or your podcast platform of choice. Join our inclusive, passionate and brilliant Keeping Karlsson community by becoming a patron of Keeping Karlsson. For the cost of a cup of coffee each month, patrons power new episodes and get all kinds of perks in return, like managing teams in the Keeping Karlsson Ultimate Patron Fantasy League (aka the KKUPFL), access to our patrons-only Discord Server, bonus monthly Patroncasts, and weekly show scripts. Keeping Karlsson is proudly presented by DobberHockey. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.