http://www.betting-school.com/horse-racing-system Horse racing method rules. Horse racing methods get a bad press because there is so much rubbish being marketed. Systems that promise huge profits but in real life they are just rubbish.
1. Horse Racing Method Rules
Horse racing methods get a bad press
because there is so much rubbish being
marketed. Systems that promise huge
profits but in real life they are just rubbish.
Method sellers and creators fall into three
main categories.
1. Scammers: Harsh names but I think
justified. These are people who have no
interest in betting methods but they have
realised that there are a lot of raving fans
who would like to win money on betting.
They spend all of their time writing the
sales message that will suck in the
unsuspecting customer.
They know that however bad the method
is that only a tiny number will ask for their
money back.
2. Idiots: These are people who have stumbled across what they think is a winning method but
in reality it turns out to be just some coincedental wins.
These fools dont understand the problems caused by making a system fit the data available.
The thing is that given any set of data the diligent person can find a set of rules that could be
applied to that data that will find enough winners to make a winning system.
Hindsight is 20 20.
3. The Minority: There are of course people who know about researching data, who realise that
a trend found in one set of data needs to be re tested on another unique set of data before it
can be considered reliable. If you are to buy a horse racing method then these are the people
you should be following.
Here's my step by step plan for creating a profitable betting system
1. look at lots of past data to find an indicator of winners. Something that looks to be common to
a lot of winners that could maybe become the basis of a system.
2. Hone that idea by adding known sensible filters, things like days since last run (recent runs
indicate that the horse is likely to fit), course and /or distance winners (have proven they can
win in that race type) etc.
If you have a filter that says the horse must have run between 1 to 4 days ago or 10 to 20 days
2. ago (IE but not 5 to 9) then you are just making your method fit the data.
3. And this is the critical step. Test your finished system on raw data. This is how you know you
are on to something genuine. And if you then tweak it a bit so it looks good on both sets of data
then you are back-fitting again.