All posts by Marc Richards

Model 284 Podcast: Hockey Translation Factors and Peter Lindblad Interview

In this episode of the Model 284 podcast, we catch you up on everything going on at Model 284, breakdown our Hockey League Translations Model, and interview professional hockey player Peter Lindblad to discuss analytics in hockey, professional hockey in Europe, Sunday punting, and more.

Hockey League Translation Factors: Methodology

I. Introduction

If you didn’t know, there are a lot of people in the world—7.6 billion to be exact! There are also a lot of people that play hockey. As a result, there are a lot of hockey leagues in the world. Wow. Okay, moving on… The National Hockey League (NHL) is seen as the premier hockey league in the world, but players don’t start their hockey career in the NHL, and most never make it to the NHL. Some would argue that it is possible to have a successful and prosperous hockey career even if you never play in the NHL. In this article, I attempt to quantify the differences between these leagues; more specifically, translating individual player production from one league to the next. This would allow us to say things such as Tony Cameranesi registered 50 points in 50 games, or 1.0 point per game, in the NCAA, thus you would expect him to produce xx amount in the AHL, yy amount in the KHL, zz amount in the NHL, etc.

Continue reading Hockey League Translation Factors: Methodology

2017-18 NHL Playoff Bracket

Below is our Model 284 consensus bracket for the 2017-18 NHL Playoffs as well as some Model Factoids. As you will see from our first round Predictions and playoff simulation results, we do not necessarily pick the model’s predicted winner for every single game, but use all available information (e.g. injuries, areas model might be lacking, etc.) to make the best prediction on each series.

Continue reading 2017-18 NHL Playoff Bracket

My Model Monday: NBA Draft Scouting Text Analysis

With March Madness just wrapping up, the natural next step in the basketball calendar is to turn to the NBA Draft. At Model 284, we have created a number of different models projecting college basketball players in the NBA; these include: our Peak NBA Statline Projection (PNSP) which attempts to predict overall NBA ability on a scale of 0-100, Similarity Scores that capture style of play, and lastly, a Role Probability Model which puts a probability that each player ends up in a certain role in the NBA (All-Star, Starter/Sixth Man, Bench, or out of the league). One idea which has come up repeatedly in our draft analysis is incorporating scouting or subjective analysis into our draft models. Rather than using a rubric of someone’s scouting grades, I wanted to do a text analysis of scouting reports already written. Since DraftExpress recently folded and moved to the dark side with ESPN Insider (probably a smart business decision), I used NBADraft.net. Continue reading My Model Monday: NBA Draft Scouting Text Analysis

Model 284 Podcast: Final Four and Coach Koz Interview

On the fourth episode of the Model 284 Podcast, we dig into our model’s predictions for the final four and we are joined by St. Olaf Men’s Basketball Coach Dan Kosmoski to talk all things basketball, including his perspective on how the game has changed over the years, his coaching strategies, and more.

Listen on iTunes here: https://itunes.apple.com/us/podcast/model-284-podcast/id1356851364?mt=2

Model 284 Podcast: Sweet 16 Matchups

In the third episode of the Model 284 Podcast, Sam Walczak and Marc Richards recap this past weekend of madness, go through our models’ predictions for the Sweet 16 matchups, and cover our probabilities for each team moving forward in the tournament.

Listen on iTunes here: https://itunes.apple.com/us/podcast/model-284-podcast/id1356851364?mt=2

Model 284 Podcast: March Madness Bracket Analysis

In this episode of the Model 284 Podcast, Sam Walczak and Marc Richards break down our models’ march madness predictions including win probabilities, spreads, totals, and everything you need to know for filling out your bracket. Additionally, Sam and Marc give their sales pitch on why you should use Model 284 when filling out your bracket which includes insights into how we build our models and what is unique about Model 284 March Madness predictions.

Listen on iTunes here: https://itunes.apple.com/us/podcast/model-284-podcast/id1356851364?mt=2

Model 284 March Madness Pool

Can you beat the Model? Enter a March Madness bracket into the group Model 284 for a chance to take on The Model. The winning bracket will receive a $100 Cash Prize and Second Place will receive a Model 284 Quarter Zip! In order to be eligible to win, you must either share this page or the Model 284 Tournament Challenge Group Page via Facebook, Instagram or Twitter! #TrustTheModel

Model 284 Bracket Pool