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So this is my first (very crude) attempt at creating pass maps using @WhoScored match data.
I looked at last night's Europa League game b/w Man Utd and Sevilla, more specifically their central playmakers, Bruno Fernandes and Ever Banega, and I feel like these pictures
I looked at last night's Europa League game b/w Man Utd and Sevilla, more specifically their central playmakers, Bruno Fernandes and Ever Banega, and I feel like these pictures
really encapsulate exactly what they're all about. The diagrams here show their passes into the final third, and a couple of things are evident; Bruno's passes are more spread out while most of Banega's are played from a very similar kind of area (just beyond and to the left of
the centre circle). Even though Banega had far more touches of the ball in this game (97 v 68) and played in a deeper position, his rate of ball progression was very similar to Bruno's, suggesting that Banega was mainly playing sideways and backwards passes to retain possession
and chose his moments to produce penetrative passes (his completion rate on these is far superior to Bruno's, as is clear from the map).
Basically, Banega sat deeper and was more stationary, controlling the tempo from deep, while Bruno frequently roamed in the final third to
Basically, Banega sat deeper and was more stationary, controlling the tempo from deep, while Bruno frequently roamed in the final third to
provide teammates with passing options, so he could get on the ball and force United forwards.
The layout is inspired by (read ripped off from) @MishraAbhiA's excellent work, and I have to say a big thanks to @DomC0801 who put up with my (extremely) amateurish questions on
The layout is inspired by (read ripped off from) @MishraAbhiA's excellent work, and I have to say a big thanks to @DomC0801 who put up with my (extremely) amateurish questions on
how to obtain the data! Also, shout-out to @nandy_sushruta for his excellent guide to creating pass maps, without which I would never have figured it out myself.
This is a really simple, surface-level analysis, and I'd want to go more in-depth with this sort of thing, so all
This is a really simple, surface-level analysis, and I'd want to go more in-depth with this sort of thing, so all
comments and suggestions, on the viz, data and insight are welcome.
@DrMukherjeeS @AshwinRaman_ @Gegenpressing91 @VenkyReddevil @NinadB_06 @ThatGarateyjc @SanchoQuinn @ARDataAnalysis @HemmenKees
@DrMukherjeeS @AshwinRaman_ @Gegenpressing91 @VenkyReddevil @NinadB_06 @ThatGarateyjc @SanchoQuinn @ARDataAnalysis @HemmenKees
