http://www.betting-school.com/betting-school-affiliate-program The ultimate horse racing system has to meet a number of criteria. First off it needs to make a profit! And that profitable system has to produce those profits on a consistent basis, Ideally we want our horse racing system to be profitable every month and if possible every week.

1. Betting Method Rules
Horse racing methods get bad publicity
because there is so much rubbish being
peddled. Systems that promise
substantial wins but in reality they are
just rubbish.
Method vendors and creators fall into
three main types.
1. Scammers: Harsh words but I think
justified. These are people who have no
affinity with betting methods but they
have realised that there are a lot of
raving fans who would like to make
money from betting.
They spend all of their time writing the
sales message that will draw in the
unsuspecting punter.
They know that however poor the
method is that only a tiny percentage will ask for their money back.
2. Idiots: These are people who have found what they believe is a profitable system but in fact it
turns out to be just some coincedental wins.
These people dont realise the problems caused by making a method fit the data available. The
thing is that given any set of data the determined person can find a set of rules that could be
applied to that data that will find enough winners to make a winning system.
Predicting the past is always easier than predicting the future.
3. The Professional: There are of course people who know about researching trends, who
realise that a factor found in one set of data needs to be fully tested on another different set of
data before it can be considered reliable. If you are to buy a betting system then these are the
people you should be following.
Here's my step by step plan for creating a reliable horse racing method
1. look at lots of past data to find an indicator of winners. Something that looks to be common to
a lot of successes 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

2. 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
ago (IE but not 5 to 9) then you are just making your system fit the data.
3. And this is the crucial step. Test your finished method on fresh data. This is how you know
you are on to something worthwhile. But if you then adjust it a bit so it looks good on both sets
of data then you are back-fitting again.