Nightcap: October 20 (with a brief note on why sample size is important)

NHL Scores

Screen shot 2014-10-20 at 9.23.54 PM

Things You Might Have Missed:

  • Petteri Lindbohm (Blues) re-assigned.
  • David Booth (Leafs) is still about 3 weeks away from returning.
  • Blue Jackets’ Curtis McElhinney has been placed on IR. Anton Forsberg has been recalled on an emergency basis
  • Martin Havlat (Devils) practiced today wearing a full shield.
  • Dan Girardi (Rangers) remains day to day..AV says he did not practice today bc his stitched up cut was bleeding this morning
  • Kris Versteeg (Blackhawks) returned to practice today after being out with a lower body injury.
  • Laich (Capitals) won’t be on upcoming road trip.
  • Hedman (Lightning) to have surgery tomorrow for a fractured finger. Out 4-6 weeks.
  • Patrik Nemeth (Stars) is out for regular season with arm laceration.
  • Ryan Stanton (Canucks) will not make the road trip for now. Frank(ie) Corrado will slot in.
  • Penguins re-assign Andrew Ebbett and defenseman Scott Harrington.
  • Kevan Miller (Bruins) sustained a dislocated right shoulder and will be out indefinitely
  • Tom Wilson (Capitals) re-assigned.
  • John Gibson (Ducks) recalled.
  • Sabres to retire Hasek’s jersey on Jan. 13
  • Alex Killorn (Lightning) injured at morning skate, did not play. He is day-to-day w/ an upper body injury.
  • Jonathan Drouin (Lightning) made his NHL debut [and looked amazing!]
  • Ryan Callahan (Lightning) left the game with a lower body injury.

Graphs & Things courtesy of hockeystats.ca

chart

Also. Sample size is a pain in the butt, so after 20 games I’m going to be doing a comparison of last year’s 3 calder finalists AND Nashville vs. Dallas. Preview of Nashville vs Dallas if I did it today (courtesy of war-on-ice.com)

Screen shot 2014-10-20 at 5.53.47 PM

What this is, is a Corsi% even strength comparison between Nashville (yellow) and Dallas (Green) during all score situations since the season started. But, alas, sample size.

Why do people scream sample size, you may ask. It’s because the smaller the sample, the less refined the results. For example, you throw a dart once and you hit a bulls-eye. You can’t say that just because it happened once, it will always happen. You throw a dart ten times, and you get a better idea of your aim. Throw it 100 times, even more of an idea, and so on. And that, my friends, is why sample size is important.

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