Sure...
I call primitive data all the raw data :
for example:
fractional times, final time, finish position
The should be passed through an analytical level that will transform them to normalized quantities that will serve as the basis for the next processing tier(s). For this level we can either use custom trasnformation or third party numbers.
example:
Track variant, speed figures, pace figures , quirin points etc.
In top of this layer we build higher level synthetical layers converting the second tier numbers to statistical measurements (like for example the average SF of the best performance of each starter and its STDEV might present a valuable metric
Then in top of these we build our betting model..
I think you can understand this process better if you read this posting in my blog:
http://alogatas.wordpress.com/2012/1...f_early_speed/