In a totally random process, you can expect any result. There may be a bias towards one result so that there may not be an even split in probabilities. For the statistics to reveal this bias, it is necessary to have an enormous number of results / observations / measurements.

All statistics have a 'significance' associated with them which gives an indication of how reliable the figures are. In such a sparse set of data, there is very little significance in any result.