Fast Five

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This week on the podcast Arune Singh and I are continuing our trip through the Fast and Furious franchise with Fast Five, arguably the peak of the series. The Rock joins the cast as every movie brings it’s best characters into a team up heist film that leaves no ridiculous stunt undone.

Buckle in and listen as we talk about what we like and don’t like about this movie.

Perception of P.K. Subban and Fast and Furious 1 & 2

Subscribe to the podcast on [iTunes], [Soundcloud], [Google Play], [TuneIn Radio], [Stitcher] or the [RSS] feed and please support the show by becoming a patron on the [Patreon] page.

On the podcast this week Arune Singh is back on with me to talk about the first two movies in the Fast and Furious franchise, but before we got into that we needed to talk about P.K. Subban, his personal success, and the perception of him around the NHL.

With the hockey stuff out of the way, we got into two movies from the early 2000’s that frankly, aren’t very good, but spawned a powerhouse franchise. What about them was so special that people were compelled to keep coming back?

Episode 13 – Denis Gorman and Crosby’s Concussion

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On today’s podcast Denis Gorman joined me for a quick hit to talk about the hit that may have taken Sidney Crosby out of the playoffs, and the reaction to it around the NHL from players, fans, media, and Pittsburgh in particular.

We also chatted about the New York Rangers’ series against the Ottawa Senators, and the coming out party of Brady Skjei, then shifted to Nashville to talk about the NHL’s consistent failure to promote P.K. Subban.

Episode 12 – Garret Hohl and Analytics

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This week on the podcast I’m joined by the managing editor of Hockey-Graphs.com and the CTO of Hockey Data Inc.; Garret Hohl.

Garret is a big proponent of hockey analytics, as am I, although he works more with public data whereas I work with Sportlogiq, a private company that uses proprietary data.

We tackle the public understanding of statistics, how great Patrik Laine can be, the pros and cons of binning, and the need for some to throw out analytics whenever they don’t perfectly mesh with results.