PNHLe Organizational Rankings: 10 to 6

Mason Black


(Title photo credit to and Getty Images)



This is the fifth part of a series where I will be ranking NHL organizations based on a new PNHLe model that I have spent the better part of the summer updating. 


If you are unfamiliar with PNHLe, or would like a more in-depth explanation on why these rankings are different compared to traditional real-world prospect grades, or those explicitly for fantasy purposes, I highly recommend you read through the introduction to the first article, which gives a better description. While you are at it, why not grab a cup of coffee and work your way through all teams that have been ranked so far, which you can find here:


PNHLe Organizational Rankings: 15 – 11

PNHLe Organizational Rankings: 20 – 16

PNHLe Organizational Rankings: 25 – 21

PNHLe Organizational Rankings: 31 – 26 


PNHLe is a model that is used to predict a prospect’s NHL point potential in the prime of their career, and something I have re-evaluated, recalculated and re-examined with the sole purpose of making the formula more precise.


The culmination of every hockey season brings forth a massive allocation of new data that can be used to make the model more accurate. Many NHL players hit new career highs, while others show consistency in their point production, which allows for minor tweaks to the overall PNHLe formula. 

Looking back to the leagues NHL players toiled in prior to making the leap to the NHL can give great insight into what a typical point production looks like for many current prospects playing all over the world. 


Simply put, PNHLe tries to gauge a prospect’s point potential in the NHL. How many points will an 18-year old prospect in the OHL obtain, who posted a point per game, if they make it to the show? PNHLe allows us the ability to compare prospects from different leagues, at different ages and different positions to give a snapshot of just how good they are doing. As a fantasy manager, you can use that knowledge to take advantage and snag a player well before anyone else in your league. As you can imagine, the model should not be used as a sure-fire way of assessing a player’s ability or probability of making it to the top level, but it is yet another piece of a comprehensive list of resources you can use.


Let us take a look at the next set of rankings: 


10th – Montreal Canadiens – PNHLe: 60.4(Avg.)