September 09 2013 12:37PM
As the Nation Network prepares for the 2013-14 season, it is with great excitement that we can finally announce that Brian Sutherby has joined the company as the VP of Beatdowns, Gaming and general law enforcement.
September 06 2013 11:08AM
In my previous experiments I used Machine Learning to try and predict a single game in the NHL. Machine Learning, as a reminder, is a subfield of Artificial Intelligence and is similar to statistics in that it is algorithmic modelling of data. In ML the computer is able to learn from data and when given new data, can make predictions on the outcome.
September 05 2013 03:49PM
- The Nations Network podcast is back. In this edition of the show we discussed:
- Brian Burke being hired by the Flames.
- Nazem Kadri's ongoing contract dispute with the Leafs.
- The Blackhawks handing out long-term deals to Corey Crawford and Niklas Hjalmarsson.
- Jersey aesthetics.
Click past the jump to stream the podcast!
September 03 2013 09:29AM
Martin St.Louis was repeatedly passed up in the entry draft because of his small stature. Who else joins him on the All-Undrafted team?
We're roughly a month away from the start of the 2013-14 NHL regular season, which is certainly exciting because I think we're all ready for the return of hockey. However, that also means that time for goofy, random, fun (if you're a hockey nerd like myself) projects is running out.
We just concluded our prospects series at Canucks Army, in which we profiled the Top 20 players in the team's system. That entire project got me thinking about value, and finding different ways to bring quality talent into your organization. While it's nice to get your hands on a top pick, you can't simply rely on that. There's more to it. As a GM, you have to be creative, and willing/able to take a chance on a guy that others didn't because of certain perceived flaws.
Just because a player doesn't get selected in the entry draft doesn't mean that he doesn't have a future in the league. It's why I find it comical when people try to tell you that they know exactly what a prospect will turn out to be. Scouting, and talent evaluation is an inexact science; all we can do is make the best possible educated guess based on the information we have in front of us. Unfortunately, that's usually not enough, and we're wrong far more times than we're right. But that's what makes it fun.
There are plenty of valuable, competent NHL-caliber players that are currently succeeding in the league after having been passed over time and time again by all 30 teams (210 different times, to be exact). Most of the guys listed below were told that they were too small, or too slow, or [generic reason a guy is told he can't succeed]. If there's one thing hockey people seem to have a fetish for, it's a centre with some size to him. A small winger who doesn't have overwhelmingly obvious puck skills will more times than not fall through the cracks.
Read past the jump for the All-Undrafted team.
August 29 2013 11:17AM
One of my biggest complaints with the data currently compiled by various hockey databases is that none of it, at least that I am aware of, allows for a user to restrict components of individual or team averages by date. This becomes particularly problematic when looking for trends in data that don't necessarily manifest in year-long averages.
No one was particularly surprised when Montreal lost to a comparatively strong Ottawa team, and data-friendly hockey fans saw Detroit giving Anaheim a world of trouble in round one. But, splitting the numbers to focus on the more-recent team data would have provided us with a far more definitive look at other match-ups, including that four-game sweep of the Vancouver Cauncks by the San Jose Sharks.