ASIMount@ZWO It seems most of the slopes are as same as mikenoname's AM5 and yours got much low numbers of Periodic error.
The amplitude of the Periodic error is not important for auto-guiding (it is only important for non-autoguided visual). The first derivative of the Periodic Error is the limiting number for auto-guiding. Large, smooth periodic errors can be easily guided away (take for example the Avalon mounts), rough slopes are what makes it harder to guide.
Taking your rescaled overlays:
I see a factor of 1.6 between the worse case derivative for Mike's curve compared to the worse case for Mutt's (worse) curve. For auto-guiding, Mutt's mount is worse than Mike's mount, even though Mutt's periodic error has much lower ampitude.
Mutt's curve has very high fifth order harmonics. From the white paper that I am writing, the first derivative of the N-th term of a Fourier Series looks like:
Notice the "N" that is inside the argument of the sinusoid pops outside (using the Chain Rule in calculus) as a direct multiplier of the amplitude of the derivative. A large 5th harmonic therefore contibutes to a much larger error.
Mutt's high derivative regions also occur 5 times more often during a long exposure than Mike's mount.