
9th January 2012, 07:11 PM
|
|
Member
|
|
Join Date: Sep 2011
Posts: 1,561
|
|
Quote:
|
Originally Posted by woof43
Just seems like yesterday (2003 or around that time when I raised this same issue, fast forward a decade and here we are again).
First up, most this isn't really going to be helpful for the "backfitters" here as most continually mix Strike rate and ROI together. Remember Strike Rate only applies to Handicapping/Rating and ROI applies to Wagering.
It's not too hard to develop a list of variables or a combination as all have been listed here previously in database threads and just putting on your "joe public thinking cap" instead of the computer handicapper cap, you should be able to develop your list.
To know how the crowd looks at all handicapping variables, you have to test each one and then see which one or combination they use or the ones they don't use. To do that you need to build a generic , single factor simulator that can give you probabilities studies for each factor. All you will do once you have run a test is to determine the relationship between each factor and the crowd odds (not strike rate, not ROI just plain simple ODDS) Using a simple application of multivariate analysis will do this easy.
A simple test is to use the above to determine a set of "win" probabilities and then plot them against the actual post time odds in a scatter diagram, all you do then is to use Correlation Analysis and Correlation Coefficient and you will be on the road to success.
Just remember. for crowd "measures" accurate means close to actual odds , not observed finish percentages
|
Woof,
I understand everything your saying above except for one point and thats my fault because I just can't get my head out of the sand. Happy to discuss in email if you don't want to post it here. You can email me at
betfinder@exemail.com.au
The part I am missing is how does this help us profit. Lets say we take barrier position and we find that it has some correlation to the win odds. (I haven't tested just picked a variable at random). How does this help us when analysing the race ? Lets assume we find the correctation is X*1.222222 (made up) which means barrier 1 has avg odds of 1.22, barrier 2 has avg odds of 2.44, etc.
How do we use this information to profit ? Do we now disregard this variable because we know the public uses it ? Or do we somehow put this information to our own use for laying/betting.
|