BigDataBall runs a crowd-sourced model where the collected data is being moderated through a couple of processing/analysis software which is specifically developed by BigDataBall. Data is then getting enhanced with proprietary information such as rest-days/schedule/lineup/efficiency analyses. External datasets such as betting odds/movements, daily fantasy sports salaries/positions are also being acquired through commercial APIs and being involved to finalize the generation process for our team/player/play-by-play, and DFS users. All datasets are being pushed into the validation processes where the errors are corrected to make sure that the output is accurate and complies with official data. Each dataset contains essential stats yet metadata capabilities can also be extended with calculated metrics by using powerful Excel formulas.
Do you like sports and want to earn a side income while you are attending or watching games? If you consider yourself as a detail-oriented sports fan with basic MS Office (mostly Excel) skills, be part of the sports data generation team at BigDataBall.
We offer a remote working environment and flexible hours. Just ping us for more information.