In the next part, we use the extracted predictions to predict the outcome of the game. We compare our results to strong baselines and against the betting line (prediction market). We found that quality extraction in quantity matters more than just the very large quantity and our performance is close to the betting line. However, when we experiment considering the previous history of the predictors, we do not find any significant difference. The history of predictors doesn’t hurt the performance though, so we could consider it to discard the spammers. We believe our domain independent framework can be used to predict other sports, elections, product release date and other future events that people talk about in the social media and has an advantage over other methods in that we can discard spammers by checking previous history.