Abstract: the ubiquity of professional sports and, in particular, the nfl leads to an increase in the trend of fantasy football. There are many tools available in the working state of gamers: statistics, forecasts, ratings of specialists and just recommendations of colleagues. However, there are problems with this. In addition, most people lay out finances for the game, forecasting tools should be downloaded improved, due to the fact that they give visitors objective and elementary help to use. Techniques for predicting quarterbacks' results in fantasy football with relatively limited data are concentrated and discussed here. A bonus to it, barcelona football blog the club contains a couple of announcements about the indian football news rules so that you can improve the information to conquer the intended results. The documentation package is made only from game data in the last six nfl seasons. I used two different methods to predict the outcome of nfl players in fantasy football: support vector regression (svr) and neural networks. The results of both studies are promising, given the limited data used.
