This is a totally FREE service provided to offer a prediction of the most likely outcome of the major European football league games. Most likely correct scores and Results are provided, along with historic Accuracy of result predictions. Full Archive of predictions and results is also available, providing open, honest and transparant information.
Expected values have been calculated since Jan-2020 and provide indications where the expected result is 5% or more likely than the bookmakers implied probabilities (simple assumption based on odds and removing bookmaker margin).
Updates will be made by the Thursday of each week, ahead of the Friday evening and weekend fixtures.
We welcome any constructive comments (Contact Us) or feedback you have and would love to hear any success stories.
Football model has been built to predict the most likely scores and results based on historic performance of teams.
This provides an unbiased, data-driven approach to predictions.
Factors such as goals scored, goals conceded, final result, ranking of opponents, venue and recent form are all taken into account when predicting the most likely outcome.
Actual results used on a rolling annual basis to generate a league table based on latest history
Teams are grouped into top, middle and bottom table teams for ranked comparisons
Predictions are based on goals scored and conceded by:
HOME team in all HOME games (AWAY team in all AWAY games)
HOME team in ALL ranked games (AWAY team in ALL ranked games)
HOME team in last 10 HOME games (AWAY team in last 10 AWAY games)
Adjusted using a factor based on results by goal difference
(weighted by all games; ranked games; latest games)
-The model is based on historical results only and should be used as a guide
-Change in management or changes/issues with squad will impact on performance
-The Start and End of the season will be more difficult to forecast
-Promoted teams will not be forecast until half a season has been played as data is not available in the new league
-We can accept no responsibility for any loss or inaccuracies in forecasts
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