Why random beats "let people pick"
Letting participants self-select into teams reliably produces uneven skill distribution and social cliques, since people naturally gravitate toward friends rather than a balanced group. A random divider removes that social dynamic entirely, which tends to produce fairer, more mixed teams and can also just be faster than a drawn-out picking process.
When random alone is not quite fair enough
For competitive settings where skill balance genuinely matters (like a company sports day with mixed experience levels), pure random assignment can still occasionally produce a lopsided team by chance. Some more advanced dividers let you "seed" a few known strong or weak players into different teams first, then randomize the rest around them.
Frequently Asked Questions
Can I lock certain people onto the same team?
Basic random dividers treat every name identically and do not support constraints. If you need certain people kept together or kept apart, you generally need to pre-sort those people manually and randomize only the remaining group.
Does the order I type names in affect the result?
No. The input order has no bearing on which team a name ends up on, since the tool shuffles the full list randomly before assigning people to teams.