Notable Info
- This is a fairly large update, as we have used retroactive predictive analysis to determine the most ‘accurate’ rates at which to penalize inactivity and quality performance decay. These types of penalties have always been guesswork and we were close, but now they are more accurate than they’ve ever been. With the latest rankings, these new rates are now in place. Note: When making these types of changes, predictive rates aren’t the primary driver — more like the secondary, but they are most definitely used when large amounts of useful data is available.
- Essentially, inactivity was being over-penalized by about 25%. On the other hand, fighters in “quality performance decay” were being under-penalized by about 35%. This sounds like a lot, but there have always been self-correction methods in place that will remain in place (though this has been modified too) to handle outliers. All in all, the fluctuations in the top part of the rankings are slight. However, beyond the Top 100s, there will be a lot of movement.