The advanced data set allows for a more detailed look at how players distribute the ball
The data set provided by the MCFC Analytics project so far has excited analysts and football fans alike. Some are using it to help predict team’s chances of winning the Premier League, whilst others are using it to analyse their team’s next opponent.
One of the first tableau visuals I made showed how teams passed the ball. This was done using the standard MCFC Analytics dataset. It showed the number of passes forwards, backwards and left and right.
The advanced dataset however shows the x and y co-ordinates of where the pass took place and also the final x and y co-ordinates of the outcome. This lends itself to a more detailed (therefore more actionable) data visual. d3.js has some great visuals and one of them is this one that shows flight routes across the USA. So can we make a similar visual in Tableau Public using this advanced data set?
Below shows an aggregation of all passes and their direction. It’s pretty, looks like a firework, but makes less sense than having one per player. The green shading indicates the minute that the pass happened (light green indicates the start of the match, dark green towards the 90th minute)
Next we split these passes out by position. Now we can start to actually find insights in the data. Goalkeepers’ passing is generally the longest (not a surprise I know). Maybe you’d use this data to see how defenders switch their style of passing once they go a goal up/down. Reassuringly the visual shows Goalkeepers passing forwards only, so I guess I manipulated the data correctly (more on that later).