Introducing a new feature on TCS: data-driven match analysis threads with visualisations by @MNazarian10! 
Starting with yesterdayâs 4-1 win over Crystal Palace...

Starting with yesterdayâs 4-1 win over Crystal Palace...

This viz uses a metric called Possession Value to illustrate which players contributed most effectively with the ball.
We can see that Mason Mount had the highest PV of any Chelsea player, with Callum Hudson-Odoi and Ben Chilwell close behind.
We can see that Mason Mount had the highest PV of any Chelsea player, with Callum Hudson-Odoi and Ben Chilwell close behind.
Here, the metric Expected Threat is used to determine and display which players were the most dangerous offensively.
The right-hand-side partnership of Mount and Hudson-Odoi was particularly effective: two of Chelseaâs three open-play goals came from that flank.
The right-hand-side partnership of Mount and Hudson-Odoi was particularly effective: two of Chelseaâs three open-play goals came from that flank.
Hudson-Odoiâs best offensive contributions in this game came in the form of progressive passing, but those high-risk, high-reward balls didnât come at a cost: he boasted an impressively high pass completion rate of 87.8% despite his team-high tally of 9 progressive passes.
Mountâs assist in this game came from a set piece, and a large part of his xT came from his other dead ball deliveries, creating multiple big chances from corners in particular. He also progressed the ball more than any of Chelseaâs other attacking players. Well deserved MOTM.
Finally, on to Kai Havertz.
There has been much discussion around whether he has been a false 9 or just a conventional one for Chelsea, but his heat map shows that in this game he had a very free role, often dropping into midfield to receive the ball in central areas.
There has been much discussion around whether he has been a false 9 or just a conventional one for Chelsea, but his heat map shows that in this game he had a very free role, often dropping into midfield to receive the ball in central areas.