I'm basically following the idea that many times with scientific calculations anomolies that don't fit the paradigm (as outlined in Thomas Kuhn's Theory of Scientific Revolutions) get ignored as random when in fact there may be some sort of minor variable that could be used to further enhance the calculation. I think people KNOW that there are variables that are being ignored. The real question is, how significant are those omissions. For instance, the pthygorean equation assumes a normal distributions of runs scored per game (x amount of games scoring 0, 1, 2, etc.. runs). We know that not all types of offenses will score the same distributions but it's generally close enough to ignore. We accept a small amount of loss in precision to simplify the model but the overall accuracy of our model shouldn't theoretically suffer. You seem to be suggesting that a significant variable might be being omitted, which may be causing a significant and systematic error in the projections? I won't begin to pretend that it's not possible but would assume a fairly rigorous study would be needed to find it. These projections are no longer something people throw together in their free time. They are constructed and tested against the actual results and each other over and over again. I don't think you'll find an obvious omission. Also, as I mentioned in the PM, there's a lot of statistical noise in a seasons worth of games for a team, so it's difficult to find systematic problems with a model without looking at many years worth of results. Assuming a binomial distribution, a team that has a 50% chance of winning every one of their 162 games still has about a 60% chance of winning 85 or more games or 76 or less games. That means that you could construct an absolutely perfect model and still expect it to be wrong by at least 4 games more often than within 4 games! The reality is that any projection system will always have a high degree of uncertainty associated with it. Of course, if that wasn't true, the sport it was modeling would be incredibly boring, since people could have a pretty good guess with how the season would play out before a single game was played.