We've collected all of the mains CSVs used in the Telegraph World Cup forecasting game in this spreadsheet.
Its aim is to give you access to the data behind the overall model, as well as its four most complex factors: Form, history, players and manager.
Each tab contains a different dataset that explains the figures behind a certain part of the forecaster. These tabs are explained in more detail below.
This outlines the overall score for each team across the six factors, as well as the scaled scores which are then applied a weighting to give a final score.
Here is the data for everything behind the form factor, including the team's Elo ratings, recent changes and the percentage of qualification points the team achieved.
The teams' players data is here, including their average market value, caps, World Cup appearances, and FIFA ratings.
This data includes a score for the number and quality of the managers' honours that we've calculated, and a similar score for their World Cup experience. It also includes data on time in charge, performance over this time as well as their winning record.
History takes into account scores for the previous positions the team has achieved in World Cups, the stages they've under- or over-performed and how geography impacts the team. Details behind these scores are found in the next two tabs.
|History1: Over/Under Performance|
This data from Elo shows every team's performance at every World Cup, and compares that to how they should have performed, based on their Elo rating at that time.
|History2: All results|
This data from Elo shows every result from a World Cup game going back to 1930, including whether the game went to penalties and accounting for different formats of the competition over time.