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Common scoring systems in games consider only the accumulation of points, generally weighted or based on a base score and then accumulate according to actions. This works fine when teams have the same size or scores are individually, but it doesn't work for teams, factions, play styles that have a special meaning or preference in a player base.

An observed practice is assigned players randomly to each team, trying to balance in quantity terms. In a player preference/special meaning escenario, this can lead to frustration and socially harmful environment within a community that translates from quitting events to even leave the game, with the desire of having freedom to choose.

Since preferences are subjective, players elections will be naturally unbalanced, creating larger and smaller categories (factions, play styles, etc.) where in a general event category A can win/loose to category B mainly because of active players quantity, but not always for players quality...

Libraries

Data generation and manipulation

• Pandas
• Numpy
• Random
• Datetime

Data visualization

• Plotly graph_objects figures and subplots