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By Bear Hands · Posted
Per Adam Schefter: https://x.com/AdamSchefter/status/1920523706624823739 Expected, but just want to rub it in here. -
I try to keep up and project the roster with color-coded charts. You can see priorities and gauge who has the best chance of making the roster--you can see the priorities as well. Here, Yellow is a 2025 draft pick, green is an undrafted free agent, and orange is a free agent. The depth chart will obviously change and I am not sure about roles (positions in all cases), so that is not the real issue at this time, but yellows and oranges show how the team focused on which aspects of the defense: In the front 5, there were 3 draft picks, 3 free agents (not including players we re-signed), and two undrafted players signed. In the back 6, there was 1 draft pick and 2 free agents (LB, S), and four undrafted free agents. The undrafted free agents are always long shots, but by identifying them, you can tell which longshots might make the roster. -
By PNW_PantherMan · Posted
The rise of analytics in sports goes back to the use of sabermetrics in baseball. The ironic thing is that the whole point of Bill James work was to objectively figure out each players contribution to to a team's wins throughout the season. This is possible in baseball because each at bat is essentially a 1v1 with an objective outcome. Applying statistical averages also works a lot better with hundreds of plate appearances over 162 games a year. PFF grades plays subjectively, and then puts them into buckets. They then create different statistics based on those buckets. That's all well and good and I'm not saying it's useless. But calling it analytics like it's some kind of objective science is a far cry from what is actually going on.
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