I've run this comparison exercise over all the data I've collected over the past few months. Maybe it can be useful to others who have developed mechanical systems that rely on such information...

Averages for winners only:
Category, Oct, Nov, Dec, Jan thus far
UniTAB Rating, 94.74, 94.92, 94.77, 94.26
UniTAB Rank, 3.60, 3.58, 3.68, 3.93
Neural Rating, 133.16, 134.52, 132.74, 129.44
Neural Rank, 3.98, 3.99, 4.03, 4.10
DS Rating, 31.58, 31.33, 30.52, 29.44
DS Rank, 3.87, 3.82, 4.04, 4.05
Career Prize Money, $4.696k, $3.174k, $2.722k, $2.255k
Career PM Rank, 4.37, 4.45, 4.42, 4.58
Finish Win Div (Uni), $8.20, $7.80, $7.81, $7.52
Finish Place Div (Uni), $2.48, $2.41, $2.46, $2.42

Averages for fo all finishing 1st, 2nd or 3rd:
Category, Oct, Nov, Dec, Jan
UniTAB Rating, 93.75, 94.05, 93.95, 93.67
UniTAB Rank, 4.02, 3.97, 4.12, 4.14
Neural Rating, 128.10, 127.52, 125.04, 124.92
Neural Rank, 4.23, 4.32, 4.49, 4.42
DS Rating, 30.78, 30.51, 29.94, 28.74
DS Rank, 4.18, 4.17, 4.30, 4.28
Career Prize Money, $3.632k, $2.848k, $2.435k, $2.147k
Career PM Rank, 4.63, 4.74, 4.99, 4.82

Obviously, the dropping average ratings and rising ranks of winners/placegetters show that December and January have been more inconsistent for these ratings due to the lower class of the fields.

It would be great if anyone can provide similar figures from before October last year. That might give an indication as to when things will "return to normal".