Quote:
Originally Posted by DGroundhog
The post time favorite wins approximately 35% of the time. 12 of 32 is 37.5% of the time, and from this - about as small a sample as could be reasonably expected to gather any sort of reasonable data from - that seems within the typical standard deviation of win percentage (less than 30 samples is really not a good sample size, 32 is barely passing).
If there are heavy favorites over representing the sample set - then the win percentage would probably increase. I see nothing in the sample set that would suggest anything nefarious is occurring.
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Is he speaking about the lowest priced horse on the board after the last betting or the horse who got the most money in the final rush of betting? I understood it to be the latter.
Not sure how you quantify it but those runners getting a "disproportionate" amount of money on the final click relative to the betting during the previous 20 minutes is what I care about. I bet that would be an interesting report.
