Recommended Soccer Predictions

Predicting football results using statistical prediction is a common method used by those involved in sports betting. Statistical tools are used to predict soccer match results. The aim of statistical match predicting is to do better than the predictions made by bookmaker. It helps to set the odds of the outcome of a football match.

The most commonly used statistical method used to predict is ranking. A football ranking system assigns a rank to every team using previous game results. The highest ranking is assigned to the team that appears the strongest. It is possible to predict the match’s result by comparing the ranks of opponents. There are several football ranking systems that are in existence. One of the best known is the FIFA World Ranking or the World Football Elo Rating.

There are 3 key drawbacks to recommended soccer predictions using these ranking systems:

• Assigned ranks to the teams are unable to differentiate between defensive and attacking and strengths.
• Ranks are just accumulated averages which do not take into consideration skill substituting in soccer teams.
• The main target of ranking systems is not so much to predict the football games’ results, but to arrange the teams in relation to their average strengths.

See Also: Top Rated Soccer Tipsters

Another method used in football predictions is referred to as rating systems. Ranking refers solely to the team’s order while the rating system assigns to every team a strength indicator which is continuously scaled. It is only possible for a rating to be assigned to not only a team solely but to its defensive and attacking strengths, its home field advantages or to each of the team player’s skills. One of the types of football rating systems is a pi-rating system. This offers a relative measurement of superiority existing between soccer teams and which has been found to work far better when it comes to profitability in the betting market than the Elo rating systems.

Publicity in relation to the use of statistical models for recommended soccer predictions started to show an appearance during the 90s. There was an earlier model suggested far Moroney who released his 1st statistical analysis for recommended soccer predictions in 1956.

In his analysis, both the Poisson distribution and the negative binomial distribution came up with a reasonable fit for football games results. The ball passing taking place amongst players in a football match was analyzed successfully using negative binomial distribution in 1968 by Reep and Benjamin. This method was improved in 1971. In 1974 Hill revealed that the results of soccer games were to a certain extent predictable and were not just a case of chance.

See Also: Today’s Soccer Prediction

The 1st model for recommended soccer predictions between the teams with differing skills was offered in 1982 by Michael Maher. His model indicated that the goals which opposing teams score in a game are sourced from the model called the Poisson distribution. The parameters of this model are calculated by the differences that exist between defensive and attacking skills using factors related to home field advantages. The methods used for the modelling of home field advantages factors were brought together in 1992 by Caurneya and Carron.

All recommended soccer predictions methods vary between the round-robin tournaments and Knockout competitions. For more detail about the predictions possible, check out soccertipsters.net

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