Below are tables containing the top 25 players overall and the top 5 at each position for 2020. We are still finalizing the models, so these will likely change somewhat. Create an account on our site and you get access to the top 10 at each position, and the top 50 overall for free.
If you sign up for an MVP subscription, you will be able to see all the predictions.
During the season, we provide weekly projections and stats for $5 a month during the regular season. …
If you work in a large organization with a ton of developer resources, this article might not be for you. If you are like me and wear many hats and have the flexibility to use whatever tools you want, then keep reading.
The goal is to give you an overview of how I’m using WSL, Airflow, and Net.exe as well as provide links to resources that will be helpful for the installation and configuration of WSL and Airflow.
I am by no means an expert. If you have feedback or know of a different/better way to do some of this…
Double the Content, double the fun
It’s been a busy off-season. I will be keeping the Medium posts short due to the manual nature of the posting process.
I have a similar post on our site, check it out if you have time https://gridironai.com/football/blog/article/week_1_2019_pickem/20
Until I have time (and fully backtested results) to write a performance summary, below is the current backtested results, by season for the Pick’Em predictions. The backtested results (below) are done by simulating the week to week predictions but this hasn’t been tested in the wild.
Transparency — The far-right column seems too high. If we…
That should be news to no one. In general, sports are hard to predict. This article is going to consist of graphs that outline where we think players will end up if they get some playing time.
If you want to view the content on our site, use this link
Playing time assumptions aside, these rankings should be used as a general measure of the player's potential skill.
You can view the evaluation set of the model in the following post. I also add some context on how we do the evaluation process.
Hey everyone, we've been hard at work on various improvements to our site and models. We also migrated our blog to the site and until we figure out what is wrong with Medium’s import tool, I can only post condensed versions on here (for SEO and Google reasons).
The table version of our rankings can be found at our site, for reasons laid out above. A few other things can be found on the site:
The tiers defined in the list below are approximately based on standard scoring point quantiles from 2018 data.
The table below can be read as follows: The row labels in the table represents quarterback performance from their last game (LG) while the columns represent projected performance in their next game (NG).
For example: If a QB was “Elite” last game, the probability of them performing “Elite” in their next game is 45%.
I’ve always wondered what makes a fantasy player elite within their position group? Outside skill conversations, are there other factors about a player’s situation you should take into account when it comes time to draft or pickup? I’m going to attempt to answer this question.
This is the first post in a series on fantasy performance by position — running backs, wide receivers, quarterbacks, and tight ends. My goal is to look at each position independently and then knit together a cohesive drafting and pickup strategy. Check back for updates!
The figure below shows the density of final running back…
For my first post of 2019, I am examining the performance of QB play on the other offensive positions. My goal is to provide the first steps in coming up with the ‘shitty QB’ factor I frequently mention in other posts. My hypothesis is: bad QB play has a cascading effect on other offensive positions. My initial thoughts, before analysis is done are:
* Bad QB play impacts every position negatively
* Most models rank positions independently of each other and we need to think about how the QB might perform when making roster decisions
* I’d avoid most players…
Data Scientist that is not great at writing profiles. I enjoy baseball and football.