Data-driven Predictions

People assume that the most prominent attacking players will always be favoured in our data-driven predictions because they score a lot and give the most assists. But that is not the case. All data included in the API is considered. For example, defending teams and players’ statistics are also essential to predict a match. We have created an AI prediction model that has been trained based on many matches.

The Prediction API accurately predicts the outcomes of future football matches, considering various factors such as team form, player injuries, head-to-head records, and more. We also incorporate the player contribution model, which further enhances the accuracy of the predictions:
“By analysing the performance of individual players and their impact on the team, we can better understand how they’ll contribute to the match’s final outcome. This model considers various metrics such as the player’s recent form, position, and contribution to the team’s overall performance.”

“Yes, I want to increase the chances of beating bookmakers!”

Alright, let’s find out how the API can help you predict one of the biggest rivalries in football.

As you know, APIs can be complex, so we need to investigate to ensure you can use the API’s endless options to make your predictions more secure.