The activity involves forecasting the outcomes of association football (soccer) matches scheduled for the following day. This often includes predicting the winner, the score, or other specific in-game events. For example, it could mean assessing that Team A will defeat Team B with a score of 2-1 in their match tomorrow.
The practice holds significance for various stakeholders, including sports bettors, fantasy league participants, and even team managers seeking to anticipate opponent strategies. Its history is intertwined with the evolution of sports statistics and data analysis, progressively becoming more sophisticated with the advent of computer modeling and machine learning.