A week or so ago, I explained what might be a new method to quantify the strength of schedule of various college football teams by calculating the expected wins of each team using a normalized power ranking. At that point, I presented just the data for the Big Ten in conference play. As a supplement to that piece, I expanded my analysis to include all FBS teams, both overall and in conference play. I also came up with a better way to visualize the data, I think. While I am not going to into too much more detail here, the results are interesting, so I thought I would do a data dump before the season really gets underway. For my new visualization, I am plotting the expected win total (i.e. the sum of the individual game win probabilities) versus the preseason ranking for each team. I added a simple trend line for comparison, because my initial analysis showed that the higher ranked teams tend to grade out with easier schedules, in part because they don't have to play...