(I haven't been able to find information elsewhere, so I'm asking here.)
What is the typical graph of chips vs. proportion of tournament lifetime for players who did very well in a tournament (perhaps finishing in the top 1%), but didn't win? (For pacing/format information, I'm basing this off of the WSOP Main Event. For scaling information, the domain of number of hands played is mapped to the interval [0,1] for every player. The range is scaled differently based on whether the chips are measured in number or in big blinds.)
When measured in absolute chips (range scaled to where 1 represents either all chips in play or the maximum of each individual graph), it's fairly straightforward to say that the graph starts with exponential growth to keep pace with exponentially-increasing blinds, and must be zero at the end, but how steep is the decline to zero? When measured in big blinds, I have much less idea on the graph's shape, except that it's probably relatively flat on average. (The sudden-jumping nature of blind sizes introduces some discontinuities, but given that some players are eliminated closer to the beginning of a blind level, whereas others are eliminated closer to the end of a level, these should smooth out.)
Is there any research on this subject that is available, or guidelines to performing a very basic simulation of the process behind such tournaments? (I may split this part off into its own question; I'll link it here if/when I do.)