Exploiting correlations in the audio, several works in the past have demonstrated the ability to automatically match and synchronize User Generated Video (UGV) files of the same event. In this paper, we focus on the challenging acoustic environment of a large scale athletic event. We show that the chanting of the crowd produces an acoustic background common in the audio streams of different UGVs and we design a novel audio fingerprinting method for organizing the UGV collection based on that content. Results presented with recordings from a crowded football match demonstrate that the proposed approach provides significantly better audio matching performance in comparison to three of the most well known audio fingerprinting techniques.