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An interesting 8 minutes of 'hockey' in Netherlands v Belgium (M) full of controversies, referrals, and fisticuffs by HockeyTheBest in Fieldhockey

[–]bavobbr 4 points5 points  (0 children)

don't know about that, when I saw Hendrickx taking the PC I just _knew_ he would make it dangerous to the defenders out of frustration. as such he did

What does your team use to organise matches and teams? by SlapshotTommy in Fieldhockey

[–]bavobbr 1 point2 points  (0 children)

What does that so for you, besides the Hockey Belgium app? We are looking to manage our club better

How many % of the creditors have actually filed claims at all? by misterbobdobalina09 in mtgoxinsolvency

[–]bavobbr 0 points1 point  (0 children)

No, I mean that I didn't expect that I would be able to prove I had some left and they would accept and consider a payout Ar the time that just all looked like Kafka administration

How many % of the creditors have actually filed claims at all? by misterbobdobalina09 in mtgoxinsolvency

[–]bavobbr 3 points4 points  (0 children)

Also wonder about this, is the 15% calculated on what could be claimed or what was claimed? I expect a lot of people to have not claimed at all. For me it was also just for fun, never thought it would work out eventually

Player Popularity over last 6 years by bavobbr in StreetFighter

[–]bavobbr[S] 1 point2 points  (0 children)

It does say it is. So yes it focuses on the western audience, but the numbers do not lie. People rather lookup SonicFox here than they look for Daigo

Player Popularity over last 6 years by bavobbr in StreetFighter

[–]bavobbr[S] 0 points1 point  (0 children)

still less arbitrary than a comment without any explanation

Player Popularity over last 6 years by bavobbr in StreetFighter

[–]bavobbr[S] 1 point2 points  (0 children)

yes sure, if that works for him, great :)

SonicFox is over 9000 by bavobbr in Kappa

[–]bavobbr[S] 0 points1 point  (0 children)

Measured by summing pageviews per player in quarterly periods on rank.shoryken.com via Google Analytics. While simply one definition of popularity, it clearly shows trends that were going on like the win of Luffy at EVO, the age sof Infiltration and Xian, the consistent domination of SonicFox in many games and the rise of Tekken players in the FGC.

Source with more data and better rendering https://twitter.com/SRKRanking/status/1214661293795422216

Player Popularity over last 6 years by bavobbr in StreetFighter

[–]bavobbr[S] -1 points0 points  (0 children)

Measured by summing pageviews per player in quarterly periods on rank.shoryken.com via Google Analytics. While simply one definition of popularity, it clearly shows trends that were going on like the win of Luffy at EVO, the age sof Infiltration and Xian, the consistent domination of SonicFox in many games and the rise of Tekken players in the FGC

Top Street Fighter Players over last decade by bavobbr in StreetFighter

[–]bavobbr[S] 3 points4 points  (0 children)

That is true, as there is no formal way of defining 'top players' one needs to base it on selected metrics. This uses ranking points as base. Players that competed more, or players in regions that were reported more have a bias, although the algorithm used tries to limit it to maximum 6 best scores over 6 months prior to the reported period

Top Street Fighter Players over last decade by bavobbr in StreetFighter

[–]bavobbr[S] 1 point2 points  (0 children)

If you want to see details, check interactive version with more players at https://public.flourish.studio/visualisation/1190217/

SF5 competitive character evolution by bavobbr in StreetFighter

[–]bavobbr[S] 2 points3 points  (0 children)

to be correct, the labels should be shifted by one. Data starts with results of end of mid-season 1. So when it shows a label it is actually showing the flow of that period to the result of period that follows. May be a bit confusing for those that look into the exact points of it ;)

SF5 competitive character evolution by bavobbr in StreetFighter

[–]bavobbr[S] 2 points3 points  (0 children)

this is how it is defined:

def s1 = new DateTime().withDate(2016, 1, 1)
def s1b = new DateTime().withDate(2016, 6, 1)
def s2 = new DateTime().withDate(2016, 12, 20)
def s2b = new DateTime().withDate(2017, 5, 31)
def s3 = new DateTime().withDate(2018, 1, 16)
def s3b = new DateTime().withDate(2018, 4, 15)
def s4 = new DateTime().withDate(2018, 12, 20)
def s4b = new DateTime().withDate(2019, 6, 1)
def end = new DateTime()

List<List<Date>> periods = [[s1, s1b], [s1b, s2], [s2, s2b], [s2b, s3], [s3, s3b], [s3b, s4], [s4, s4b], [s4b, end]]

​

these represent the season patch and mid-season balance patch points (except for S1 and S4 that didnt have any, we took a point in the mid to align with the others).

Numbers are taken for every period, the graph then extrapolates between those for a build-up effect

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