1 · Probability of scoring at least X
For any point total on the x-axis, the curve height is that player's chance of hitting that many points or more. Higher/further-right curve = better odds at that threshold. The dotted vertical line marks each player's median (the point total they clear about half the time). Good for "what's the chance they clear the ~12 I need from my flex?"
2 · Difference (head-to-head)
How many points the higher-projected player is ahead by at each percentile; where it dips below zero, the other player actually wins (e.g. a higher floor). Read a percentile as an outcome rank: the 10th is a bad game (floor), the 50th a typical game (median), the 90th a great game (ceiling). Hover any point to see each player's actual projected score there, so you can tell whether a 2-point edge is at 8 pts or at 25.
3 · Density (shape only)
The shape of each player's outcome distribution: taller = more likely, wider = less predictable. This illustrates the distributional differences well, but is less directly useful for roster decisions — the points where the curves cross aren't actionable. Charts 1–2 are the ones to reason from.