Run simulations across supported sports and markets and see the full distribution of outcomes rather than a single projected number.
The spread of results tells you how confident a projection actually is, which a point estimate on its own hides.
Running a game or a player's performance thousands of times with randomised inputs, then reading the distribution of results rather than a single projected number. The spread is the useful part — it says how confident the projection deserves to be.
Because two players can share the same average and have completely different odds of clearing a line. A point estimate hides that; the distribution is what actually prices the bet.