Data is the starting point.
We want to use artificial intelligence to make match statistics easier to understand and explain possible scenarios with clear reasoning.
- 01
Start with the data
The project plans to consider recent form, team performance, previous encounters and available information about the match. Each analysis will need to make clear which data and updates it refers to.
- 02
Put the numbers in context
The goal is to compare indicators and identify factors that could affect the match, while also highlighting any missing information.
- 03
Explain the prediction
We want to accompany every prediction with the reasons behind it and its limitations. A prediction describes a possible scenario; it is not a certainty about the result.
- 04
Compare the prediction with the result
The planned approach includes a review after the match. The evaluation methods will be published with the service; we are not presenting accuracy percentages today.