I’ve updated my World Cup probability graphics (explained here) following today’s matches – basically recalculating each team’s FIFA ranking points and then re-running my model to work out their chances of reaching each stage and which opponents they’re likely to be drawn against. How the knockout stages could pan out This has been split into two graphics to stop if

I’ve created specific World Cup probability graphics (explained here) for England v Scotland today, as it’s probably one of the most pivotal games in the first round of group matches. Basically I ran the model with a 2-1 England win baked in, then again with a 2-1 Scotland win, and created the team-specific graphics to see how they differed. If

I’ve updated my World Cup probability graphics (explained here) following today’s matches – basically recalculating each team’s FIFA ranking points and then re-running my model to work out their chances of reaching each stage and which opponents they’re likely to be drawn against. How the knockout stages could pan out This has been split into two graphics to stop if

The plan During the 2018 World Cup I was messing about with a simple prediction model based on the Elo ratings and came up with graphics like this and this which people quite liked, so I thought I’d try it again for the Women’s World Cup this year. What I’ll be aiming to do throughout the tournament is create updated

I’ve created yet another variation on the World Cup probabilities graphics, this time to illustrate how forthcoming group matches can affect who qualifies for the round of 16. Then way these work is as follows: Using the predictive model I’ve built, powered by the latest World Football Elo Ratings, I’ve simulated the rest of the matches in each group 100,000 times.