Another solid performance on both ends of the pitch saw Spurs earn bragging rights over Arsenal in the north London derby. Despite having tough fixtures Heung Min Son and Harry Kane have still been among the goals for Spurs...
The Review: GW 11 - A thread
Hi everyone, welcome to “The Review” where I look back on the key numbers of GW 11 with a look ahead to GW 12:
#FPL #FPLCommunity @OfficialFPL
(Data taken from @FFScout and @FFH_HQ with consent)
Another solid performance on both ends of the pitch saw Spurs earn bragging rights over Arsenal in the north London derby. Despite having tough fixtures Heung Min Son and Harry Kane have still been among the goals for Spurs...
Mins per shot inside the box: 49.4 vs 267
Mins per big chance: 71.3 vs 267
Mins per big chance created: 214 vs 267
Avg. FPL points per game: 9.25 vs 8.67
Mins per shot inside the box: 28.6 vs 270
Mins per big chance: 79.3 vs 90
Mins per big chance created: 89.3 vs 270
Avg. FPL points per game: 10 vs 6
Shots inside the box per game: 10.38 vs 2
Big chance per game: 3.63 vs 0.67
Chances created per game: 11.75 vs 3
Liverpool securing a massive win over Wolves saw them manage to get their second clean sheet over the last three GWs with a heavily depleted defence due to injuries...
Liverpool (GW 1-8) vs Liverpool (GW 9-11):
Shots inside the box conceded per game: 8.25 vs 6.67
Big chance conceded per game: 2.75 vs 2
The underlying stats show the improvement...
Mins per shot: 54.9 vs 141.4
Mins per shot inside the box: 714 vs 165
Mins per big chance: 714 vs 495
Mins per big chance created: 238 vs 198
Mins per touch in the final third: 2.86 vs 2.72
Salah (GW 1-8) vs Salah (GW 10-11):
Mins per shots inside the box: 27.65 vs 77
Mins per big chance: 89.9 vs 154
Mins per big chance created: 179.8 vs 154
Avg FPL points per game: 8.375 vs 10
Shots inside the box per game: 10.6 vs 5
Total big chances per game: 3.25 vs 1
Chances created per game: 11.13 vs 6
As mentioned earlier in my GW8 Review, Salah if fit again was a keep for me for their visit to Fulham where is he is the standout captaincy option, particularly because Man United and Man City play each other...
Leeds Attack:
Shots inside the box: 113 (League Rank: 2nd)
Chances created: 122 (League Rank: 1st)
Big chances: 24 (League Rank: 5th)
Patrick Bamford:
Shots inside the box: 38 (League Rank: 1st)
Big chances: 13 (League Rank: 2nd)
The draw with Burnley saw Everton failing to secure a win for two consecutive GWs, and now with both their wing backs set to serve time on the sidelines until late next month, it's time we...
Mins per shots inside the box: 25.3 vs 25.7 vs 180
Mins per big chance: 53.75 vs 60 vs 180
Mins per big chance created: 430 vs 180 vs 180
With the inclusion of Ziyech in the starting line up we saw Timo Werner produce his best run of form under Chelsea colors, but with Ziyech ruled out for the next couple of GWs, it might be time to run the scanner over Werner and see...
Werner (GW 7-10) vs Werner (GW 1-6)
Mins per shot inside the box: 46.7 vs 40
Mins per big chance: 65.4 vs 260
Mins per big chance created: 327 vs 520
Mins per chance created: 81.75 vs 173.3
After picking up an injury and confirmed to be on the sidelines for a while it might be time to look for a replacement for the Moroccan, here I run a comparison among the potential candidates:
Mins per shot inside the box: 36.4 vs 40.5 vs 35.8 vs 50.7
Mins per big chance: 114.4 vs 162 vs 100.2 vs 228
Mins per big chance created: 267 vs 115.7 vs 250.5 vs 304
Following the defeat to Spurs a couple of GWs ago, City have turned up in style scoring seven goals in the span of two GWs. And now with favorable fixtures to follow after derby this week (WBA sou NEW eve)...
Mins per shot inside the box: 45.63 vs 43.65 vs 45 vs 44.2
Mins per big chance: 146 vs 148.5 vs 450 vs 342
Mins per big chance created: 365 vs 106 vs 450 vs 171
Mins per chance created: 81.1 vs 26.1 vs 75 vs 31.1
With Newcastle's match being postponed last GW, it can be said that it has been a rollercoaster season for the Magpies. However, owners of Callum Wilson have not been affected by these ups and downs due to his consistent...
Mins per shots inside the box: 46.8 vs 36.8 vs 51.2
Mins per big chance: 79 vs 73.6 vs 108.9
xG: 6.6 vs 5.64 vs 3.33
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Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.
It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details): https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha
I've read it so you needn't!
Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.
The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.
Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.