Discover and read the best of Twitter Threads about #Ziyech

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THREAD: How would Hakim #Ziyech 🇲🇦🇳🇱 fit in at @ChelseaFC?

Let's check his stats at a Premier League standard. His attacking output is huge at RW in the Eredivisie. In the UCL it's lower but still good, with lower shot quantity and quality. Ball retention has improved!

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@ChelseaFC @LondonBluePod @PrideOLondon @SebC__ @JakeFCohen @ChelseaChadder @CFCNewsReport @StatsChelsea @CFC_Universe @ChelseaIndex @TruebluesIndo Here are smartermaps for #Ziyech and @willianborges88. Ziyech is unpredictable on the flank and takes shots from central areas. Willian doesn't shoot much anymore but enters the box at a similar point on the right side, and more than Ziyech. Shorter passes on the flank, too.

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@ChelseaFC @LondonBluePod @PrideOLondon @SebC__ @JakeFCohen @ChelseaChadder @CFCNewsReport @StatsChelsea @CFC_Universe @ChelseaIndex @TruebluesIndo @willianborges88 @TeamZiyech @AFCAjax We used our "Search by similar player" to see which Premier League RWs had similar styles to Ziyech's style in the Eredivisie. He's closest to Christian Eriksen 🇩🇰, with some other well-known names in the mix. These are guys who make longer, incisive passes and also shoot.

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📢 NEW - NSxG maps 📢

Time to introduce something I've been working on lately. It's called non-shot (NS) xG maps and they look like 👇

In this thread I'll try to explain what they are, why they're useful and how they can be used!

#xG #NSxG #football #data #analytics
@EveryTeam_Mark @MarkTaylor0 @Tussendelinies @tactipedia @Tacticsplatform @joe_mulberry @DanKennett @StatmanDave @elpivoteftbl @experimental361 Why do we need NSxG maps? NSxG maps can help speeding-up and improving the proces of video analysis.

Usually analysts watch hours of video footage, in order to understand how a certain team plays: how do they create dangerous attacks? Which players are most dangerous?
@EveryTeam_Mark @MarkTaylor0 @Tussendelinies @tactipedia @Tacticsplatform @joe_mulberry @DanKennett @StatmanDave @elpivoteftbl @experimental361 But what if we let the data tell us where to look?

▶️ Enter NSxG (or similar metrics like xT or PV)

By plotting in which area of the pitch a team makes their most valuable actions (mind you, we are not talking frequencies here!), we know where they get most dangerous from
Read 11 tweets

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