I really should have named this year's posts "The Running Game", but whatever.
I have new calculations, and these new calculations have produced new predictions. Well, one of the new calculation produced new predictions for records at the end of the season. The other is more of a guide to help me with my Gut Picks.
New Calculation 1: Weighted Wins Mid-Season Calculation
This calculation weights wins based on how good or bad the losing team is, using the original points granted to the team at the beginning of the season. The weight of those points decreases with each week, finally being factored out in favor of just weighted points for wins and losses after Week 10. Then there are some other math things going on that finally identify a number for that team. I think I divide by the number of the week and multiply by something else - it's weird, but it's consistent, and it was pretty accurate for Week 7 - at least it was, until I did some fiddling. I had to fudge numbers to save this chart as an image. I guess I need to tweak it some more, but the premise seems sound.
The other nice thing about this is that it can be applied to predictions right away, so next year, I'll only have one calculation.
The chart below shows the percent of correct picks for the first 7 weeks, starting with what I call the "Favorites", which are the picks from the Football LOCKS website, a somewhat official odds-making site that goes so far as to charge a subscription fee for some information. I don't pay the fee, and only track their picks as a benchmark for my own. Next, in order, are my first calculation, my Gut Picks, the Mid-Season picks, and the picks based on Average Points.
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This is percent correct. For some reason, I can't make the left axis into percents, but that is what they should be. |
New Calculation 2: Average Points Scored
At first, I had another complex calculation that ranked wins based on the point differences, giving no points at all to losers that scored less than the difference in Final scores, and partial credit to losing teams with higher scores. Then I decided that that was too complicated and too much like the Mid-Season Calculation, plus I wanted to remove some of the complexity from my Google Sheet. I decided to go with a very basic comparison of average points scored at that point in the season. In order to ensure that this data remains static for each week, however, I had to flex my Google Sheets function creating muscles.
Ultimately, it's the sum of scores for all weeks prior to the current week, divided by the previous number of weeks (give or take 1, based on the Bye), but in order to get this information, I had to create a ROW function in one sheet, to be captured with two VLOOKUPs, and place column letters for the week prior in the sheets for each week, then CONCATENATE all of them inside an INDIRECT function before applying the SUM and dividing by that number related to the number of weeks.
I'm pretty proud of it, if I don't say so myself.