It has been three years since I last checked in with my Hockey Hall of Fame (HHOF) model. Let's see how it did recently and which active players are moving up the ranks.
Posted by RDJ on July 6, 2022
Per my annual tradition, here are NBA playoff odds generated using the model that I shared last year, the year before, and the year before that.
Posted by RDJ on October 20, 2019
Who made it in, who will make it in next year, and how borderline are some of our favourite not-yet-eligible players?
Posted by RDJ on August 16, 2019
I'm not here to gloat. Or at least, not about the Raptors. I'm here to gloat about my predictions.
Posted by RDJ on June 14, 2019
I love how this literature, and our entire understanding of probability, has either been about predicting rainfall of profiting through gambling.
Posted by RDJ on February 8, 2019
A lot of these teams are really dragged down by having a few weak players, especially if they're expected to play significant minutes.
Posted by RDJ on October 16, 2018
Next year could go in many directions, since there are no sure-fire NHL candidates. There's no Martin Brodeur or Teemu Selanne. The most accomplished player might not be an NHLer, since it looks like Hayley Wickenheiser is eligible. This gives the committee a lot of room to reconsider players it overlooked in the past.
Posted by RDJ on July 4, 2018
Some of these teams will be much better than expected, and some will be much worse, but right now we don't know which.
Posted by RDJ on October 16, 2017
We can fit the data perfectly, but we shouldn’t. This is what’s known as the bias-variance trade-off. The more precise we try to be in fitting the data at hand, the more likely we memorize effects that are due to random variation in the training data that do not generalize to other datasets.
Posted by RDJ on May 6, 2017
I love lists, and I love arguing, so here are five players who should be on the top 100, and who they could take off.
Posted by RDJ on April 26, 2017