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Improve Your Soccer Betting Using The Rateform Method

Nov 4, 2007
Improve Your Soccer Betting is a series of articles that describe some well known and well used statistical techniques that will help the soccer punter make more informed bets. Each of the techniques has its own advantages and disadvantages and using them in isolation will improve your chances of winning. However, together they will prove invaluable in your battle with the bookies. In each article we will describe in detail how a particular method works giving you enough information for you to go ahead and create your own forecasts. We will also give you information as to where you can already find websites that use this technique in comprising their weekly soccer betting forecasts.

The statistical methods described in this set of articles will help you to arrive at a better decision about the match, or matches, that you are betting on.

In this article we will be describing the well known Rateform method. The Rateform method has its origins in The Rating Of Chessplayers by Professor Elo, and from the Punters Revenge by Tony Drapkin and Richard Forsyth. The basis of the Rateform method is that each of the two teams taking part in a match is given a point score that is based on their current form. Although this sounds very simplistic, and it is, its calculation is a little more involved.

Here are the basic rules...

1. Each team is given a point score representing their current form.

2. At the start of the season each team is given 1000 points.

3. When a match is played both teams contribute some of their points towards a kitty.

4. The home team supply more points into the kitty than the away team. This is done to reflect the home teams advantage of playing at home.

5. The winning team takes the kitty, unless the result is a draw in which case both sides share the points. In the case of a draw the away side gains points and the home side looses points.
Here is how a typical calculation is made...

home team points total = HTPOINTS
away team points total = ATPOINTS

home team contribution to kitty = HTKITTY = 7% of HTPOINTS
away team contribution to kitty = ATKITTY = 5% of ATPOINTS

the kitty therefore = KITTY = HTKITTY + ATKITTY

if the result is a HOME WIN then
home team receives KITTY points added to HTPOINTS
away team receives zero points added to ATPOINTS and looses its 5% contribution to the kitty

if result is an AWAY WIN then
home team receives zero points added to HTPOINTS and looses its 7% contribution to the kitty
away team receives KITTY points added to ATPOINTS

if the result is a DRAW then
home team receives KITTY / 2 points added to HTPOINTS
away team receives KITTY / 2 points added to ATPOINTS

Let's look at a simple example of how you could apply this...

To calculate the possible outcome of a match based on rateform the away rateform is subtracted from the home rateform and the difference is compared against set values for home, away and draw possibilities.

For example we could make our set values as follows:



So, if the RATEFORM DIFFERENCE is less than -250 then the match is likely to be an away win, if the RATEFORM DIFFERENCE is greater than 150 then the match is likely to be a home win, and if the RATEFORM DIFFERENCE lies between then the outcome is most likely to be a draw.

Now it's your turn...

Of course you may choose to use different values to those shown above and by experimenting you may come up with better values to use. You could also decide not to reset each teams points to 1000 at the start of the season but instead let them carry over into the next season. Another alternative would be to have a rolling calculation where you calculate the rateform for each team on say the last six months.

If you have the necessary skills you could go away and build your own spreadsheet of data or even write a piece of software to take in results and fixtures and apply the Rateform method to your data. Or, if you're lazy like me, you could grab some free software that already does this for you. 1X2Monster and Footyforecast have been providing this kind of facility since 1999. A total of seven different statistical methods are used to determine the outcome of each game played in each league, and a comprehensive record of how each method in each game performed is kept. Apart from how each tip performed within its respective league 1X2Monster also provides the league tables of how each league has performed in successfully predicting outcomes of games. The league tables of prediction performance are produced for home win predictions, draw predictions, away win predictions, and for overall predictions and are invaluable tools to the soccer punter when deciding where to target their European soccer betting predictions.

Here is a list of all the articles in this series...

How To Make A Profit From FREE 1X2 Soccer Picks
Improve Your Soccer Betting Using The Rateform Method
Improve Your Soccer Betting Using The Footyforecast Method
Improve Your Soccer Betting Using The Win Draw Loss Method
Improve Your Soccer Betting Using The Simple Sequence Method
Improve Your Soccer Betting Using The Score Prediction Method
Improve Your Soccer Betting Using The Superiority Method
About the Author
Malcolm Nossiter is the owner of 1x2monster.com and footyforecast.com. He has been providing hundreds of 1X2 tips every week since 1999. Please visit 1x2monster.com for a fountain of information on soccer betting.
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