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Dec 3, 2022 ā€¢ 7 tweets ā€¢ 11 min read ā€¢ Read on X
With the #FIFAWorldCup group stages complete, we review the teams' and players' performance using advanced metrics šŸ§µ

#Germany, #France, #Brazil, #Argentina and #England have the best npxG difference (although #Germany's result is strongly influenced by their last match, 5.7 xG) Image
#Morocco, #Netherlands and #England have made the most of their chances, while #Canada, #Germany and #Qatar have reaped less than they have sown

#FIFAWorldCup Image
Looking at individual attacking performance, #Giroud and #Mbappe stand out from the pack. Jamal #Musiala confirms his status as one of the most exciting young talents, while Julian #Alvarez also impressed despite not having started all games

#FIFAWorldCup Image
In terms of chance creation, #Griezmann is the only outlier, almost doubling 2nd placed #Shaqiri for xA P90. Theo #Hernandez has also been instrumental to #France's success after coming on as a substitute for his brother Lucas in the first match

#FIFAWorldCup Image
Line-breaking passes are key to every team's ball progression. If we consider passes breaking the opponent forward line, i.e. the first line of pressure, #ManchesterCity trio #Laporte, #Stones and #Rodri stand out in a top 10 dominated by central defenders

#FIFAWorldCup Image
When it comes to breaking through the midfield line with incisive passing, #Pedri's vision is unrivalled. Behind #Spain's young star, Enzo #Fernandez stands out, having been one of the keys of #Argentina's change in fortunes in their group stage

#FIFAWorldCup Image
Finally, Angel #DiMaria proved once again his ability to break the opponents' defensive line, followed by #Senegal's #Diatta and #Germany's #Musiala

#FIFAWorldCup Image

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More from @Soccerment_Blog

Mar 8, 2023
šŸšØ A new metric is coming to the Soccerment Analytics platform: one-twos!

This is a well-known football concept, focusing on associative ball progression and chance creation. How can we extract if from event data, and what insights can it provide as a metric? šŸ‘‡šŸ§µ
The starting point is simple: any open-play completed pass (opening) followed by another completed pass received by the same player who made the first one (closing). In order to isolate one-twos as the football concept we know, we then need to apply some spatio-temporal filters:
1) The whole one-two brings the team closer to either the goal line or goal center by at least 25%
2) No more than 4 seconds elapse between the first and second pass
3) The player closing the one-two carries the ball no longer than 5 meters in between the passes
Read 13 tweets
Jan 16, 2023
Last weekend featured several high-profile matches āš½ļø here is our take on some of them, using our Match Reports šŸ‘‡ šŸ§µ
āš½ #MUNMCI 2-1
#ManchesterCity struggled to create chances (0.73 xG) despite their territorial dominance (70.6% Field Tilt). #ManchesterUnited were more direct (17.4% vs 4.9% long pass %) and more dangerous (1.69 xG), turning the derby around within four minutes
āš½ #NapoliJuventus 5-1
As usual this season, #Napoli dominated territory (56.5% Field Tilt), attacking production (2.38 vs 0.83 xG) and shooting quality (4 xGoT, new seasonal max), extending their lead in #SerieA to +9. #Juventus offered little resistance, especially in 2nd half
Read 6 tweets

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