https://t.co/1tZ92vBXIT
The Review: The festive fixtures - A thread
Hi everyone, welcome to the latest edition of “The Review” where I look at the blanks, doubles and the new fixture rescheduling in detail:
#FPL #FPLCommunity @OfficialFPL
(Data taken from @FFScout and @FFH_HQ with consent)
https://t.co/1tZ92vBXIT
Given the unfortunate and untimely postponements of last GW, a lot of FPL managers were left deflated. For luck to have the final say was always going to be infuriating – given the amount of planning that goes into...
I think the Spurs v Leeds fixture is the one to target here. I see Bruno Fernandes is the most popular choice in most social media polls, but I find the Man United v Villa game extremely hard to call. I think Bruno...
Mins per shot inside the box: 240 vs 1142
Mins per big chance: 720 vs 1142
Mins per chance created: 50 vs 50
Mins per big chance created: 205 vs 381
Mins per touch in the final third: 2.47 vs 2.55
Mins per penalty area touch: 30 vs 54
Mins per shot inside the box: 212 vs 1142
Mins per big chance: 1588 vs 1142
Mins per chance created: 36.5 vs 50
Mins per big chance created: 176 vs 381
Mins per touch in the final third: 2.52 vs 2.55
Mins per penalty area touch: 58 vs 54
Mins per shot inside the box: 38 vs 65
Mins per big chance: 686 vs 240
Mins per chance created: 40 vs 720
Mins per big chance created: 343 vs 720
Mins per penalty area touch: 17 vs 27
Leeds xG 15.1 v West Ham xG 9.2
Adams (with Ings 20/21) vs Adams (without Ings 20/21)
Mins per shots inside the box: 55.28 vs 90
Mins per big chance: 124.4 vs 360
Mins per big chance created: 199 vs 180
Shots inside the box per game: 7 vs 5
Big chances per game: 1.67 vs 0.75
Chances created per game: 7.83 vs 6.5
By looking at the above comparisons, it can be seen Adams and both Southampton as a whole...
Firstly, I’d like to look at how the addition of El Ghazi has affected Villa in terms of their goal threat:
Shots inside the box per game: 10 vs 13.25
Big chances per game: 2.8 vs 3.25
Chances created per game: 12 vs 15.5
Mins per shot inside the box: 45 vs 39 vs 28.9
Mins per big chance: 360 vs 180 vs 69.4
Mins per big chance created: 120 vs 129 vs 347
Dallas vs Alioski (over the season):
Mins per shot inside the box: 238.5 vs 151.5
Mins per big chance: 477 vs 454.5
Mins per big chance created: 715.5 vs 303
Mins per touch in the final third: 4.44 vs 3.63
Big chances conceded per game: 3.21 vs 1.5
Shots inside the box conceded per game: 11.5 vs 6
The stats from the last two GWs show improvement for Leeds in the defensive department compared to their season averages. Investing in a...
FPL managers are growing increasingly frustrated by the lack of big returns from the Everton talisman, who has been averaging ∼3.83 points in his previous six matches. I now look at his numbers during this spell:
Shots inside the box: 13 (Forward Rank: 5th)
Big chances: 6 (Forward Rank: 1st)
xG: 3.22 (Forward Rank: 3rd)
Despite the loss of Richarlison and James Rodriguez to injury, it can be seen that Calvert Lewin is still posting good numbers averaging...
Here I compare West Brom’s numbers under Bilic to their numbers under Allardyce, which I have further bifurcated...
WBA (GW 1-13) vs WBA (GW 14) vs WBA (GW 15-16)
Shots conceded inside the box per game: 10.7 vs 11 vs 8
Big chances conceded per game: 2.7 vs 3 vs 2
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I await your feedback. Wishing you all a very happy new year!
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Oh my Goodness!!!
I might have a panic attack due to excitement!!
Read this thread to the end...I just had an epiphany and my mind is blown. Actually, more than blown. More like OBLITERATED! This is the thing! This is the thing that will blow the entire thing out of the water!
Has this man been concealing his true identity?
Is this man a supposed 'dead' Seal Team Six soldier?
Witness protection to be kept safe until the right moment when all will be revealed?!
Who ELSE is alive that may have faked their death/gone into witness protection?
Were "golden tickets" inside the envelopes??
Are these "golden tickets" going to lead to their ultimate undoing?
Review crumbs on the board re: 'gold'.
#SEALTeam6 Trump re-tweeted this.
I might have a panic attack due to excitement!!
Read this thread to the end...I just had an epiphany and my mind is blown. Actually, more than blown. More like OBLITERATED! This is the thing! This is the thing that will blow the entire thing out of the water!
Tik Tok pic.twitter.com/8X3oMxvncP
— Scotty Mar10 (@Allenma15086871) December 29, 2020
Has this man been concealing his true identity?
Is this man a supposed 'dead' Seal Team Six soldier?
Witness protection to be kept safe until the right moment when all will be revealed?!
Who ELSE is alive that may have faked their death/gone into witness protection?

Were "golden tickets" inside the envelopes??

Are these "golden tickets" going to lead to their ultimate undoing?
Review crumbs on the board re: 'gold'.

#SEALTeam6 Trump re-tweeted this.

1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.

4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.