#userscore

[datarep]

Metacritic UserScore and CriticScore for PC Games (2000-2020)

by n0tpc

[ultramaga]

Netflix's Queen Cleopatra BOMBS To 1% Userscore | Revisionist History FA... Leftists call for the genocide of the Egyptian people. They are flabbergasted when this doesn’t work out well for them.

[homocidalpotat]

most tumblr userscore /p

[grimlocksword]

Little Mermaid DECIMATED | All Userscores Tank Under 50% As Backlash Int...

[otaviooda]

🤔 #userscore #residentevilmovie #paulswanderson #millajovovich https://www.instagram.com/p/CXITb0Nu1Mt/?utm_medium=tumblr

[afterglowws]

lover’s userscore on metacritic went from a 9.3 to an 8.8!! make sure you create an account and give it a 10 rating!!

[sometipsygnostalgic]

looking up the success of recent releases

Fallout 76, predictably, has the second-worst score of all time

For comparisons sake:

Here is Andromeda which on its least popular platform is doing twice as well

Then there’s the ones that got me:

what the fuck is this discrepancy??? okay i get that battlefield V disappointed everyone and their mother, but black ops 4 i thought got favourable reviews by a lot of critics??? 

after looking into this, it appears that both games also removed a lot of quality-of-life downgrades that players would only understand once the game launched to the wider audience. black ops 4 removed skillbased matchmaking for some reason, so people of all ranks are put in the same match. battlefield V has a really backwards spawn system that can let players bomb the other team’s vehicles as they are spawning. both games have balancing issues that make it very difficult to play a fair competitive match. this is something COD players are used to but battlefield used to do it a lot better.  black ops also has a variety of performance issues, and since fights are so fastpaced in COD this has a big impact. 

Meanwhile in Pokemon land: 

Not doing great, probably one of the but not doing as badly as I thought, and way better than its western AAA partners.

Here is Pokemon Sun from 2016: 

Ultra Sun has comparable reviews, a slightly lower metascore 84 and higher userscore 9.0.  

Gehn 6 games score similarly, with the lowest seemingly being Black/White2 with a userscore of 7.5, so it’s safe to say Lets Go is the lowest rated Pokemon game to be released but not quite to the same degree as those at the start of this list.   

RDR2 unsurprisingly scores well with metascore critics quickly sucking its dick to ride that hype, while the user score is a more reasonable 7.8, the game being servicable and good but just shy of great .  

The true king of the hill, however... 

[captainbritish]

If anything proves that film critics are incredibly out of touch with what people actually enjoy, it’s Venom.

One review was like “ Venom can be quite a lively watch, both as a reminder of why Hollywood stopped making superhero films like this.”

What, films that are just campy fun? Films that don’t need to rely on an expanded universe to be interesting? What’s wrong with that?

Fuck film critics dude lmao. 35 Metascore and a 7.0 Userscore on IMDB, this really shows why I don’t pay attention to critic reviews any more.

[pius2017]

Simon Says' is a memory game where 'Simon' outputs a sequence of 10 characters (R, G, B, Y) and the user must repeat the sequence. Create a for loop that compares the two strings starting from index 0

Simon Says’ is a memory game where ‘Simon’ outputs a sequence of 10 characters (R, G, B, Y) and the user must repeat the sequence. Create a for loop that compares the two strings starting from index 0

Simon Says’ is a memory game where ‘Simon’ outputs a sequence of 10 characters (R, G, B, Y) and the user must repeat the sequence. Create a for loop that compares the two strings starting from index 0. For each match, add one point to userScore. Upon a mismatch, exit the loop using a break statement. Ex: The following patterns yield a userScore of 4: simonPattern: R, R, G, B, R, Y, Y, B, G,…

[ab543219]

Week2

Research question: relation between political score and alcohol consumption Explanatory variable is political score. Response variable is alcohol consumption. Since alcohol consumption is not categorical variable, I created userScore column with 2 values: 0 if alcohol consumption is low (<= 9 l) and 1 if high. Null hypothesis: there is no relationship between political score and alcohol consumption, i.e. relative proportions of high and low alcohol consumption are independent from political score categories. Alternative hypothesis: high/low relative proportions of alcohol consumption are associated with political score.

Note: example program in lecture defined all variables combinations in code manually for post hoc processing. I generated combinations of variables programmatically in for loop and this is correct, too.

Python program: import numpy import pandas import scipy.stats import seaborn import matplotlib.pyplot as plt

data = pandas.read_csv('gapminder.csv', low_memory=False)

#setting variables you will be working with to numeric data['polityscore'] = pandas.to_numeric(data['polityscore'],errors='coerce') data['alcconsumption'] = pandas.to_numeric(data['alcconsumption'],errors='coerce')

sub1 = data.copy() #data[(data['polityscore']>=5) | (data['polityscore']<=-2)]

rec = lambda x : 0 if x <= -6 else 1 if x < 0 else 2 if x <= 5 else 3 if x <= 8 else 4 if x <= 10 else 5 recCons = lambda x : 0 if x <= 9 else 1 sub2 = sub1[['polityscore','alcconsumption']].dropna() sub2['usrScore']= sub2['polityscore'].map(rec) sub2['consScore']= sub2['alcconsumption'].map(recCons)

#print( sub2)

# contingency table of observed counts ct1=pandas.crosstab(sub2['consScore'], sub2['usrScore']) print ("Contingency table, counts\n",ct1,"\n")

catCount = ct1.count(axis=1) catCount = catCount.at(axis=1)[1] print('Cat Count: ',catCount)

# column percentages colsum=ct1.sum(axis=0) colpct=ct1/colsum print("Contingency table, %\n",colpct,"\n")

# chi-square print ('chi-square value, p value, expected counts') cs1= scipy.stats.chi2_contingency(ct1) print (cs1,"\n")

# set variable types sub2["usrScore"] = sub2["usrScore"].astype('category')

plt = seaborn.catplot(x="usrScore", y="consScore", data=sub2, kind="bar", ci=None) plt.set_axis_labels('degree of democracy', 'Proportion of high alcohol consumption') plt.savefig("temp.png")

res = []

compCount = 0

for i in range(0,catCount):    for j in range( i+1,catCount):        #print( i,' ',j)        sub3 = sub2.copy()        rec2Cat={i:i,j:j}        sub3['usrScore'] = sub3['usrScore'].map( rec2Cat)        #print(sub3)        # contingency table of observed counts        ct1=pandas.crosstab(sub3['consScore'], sub3['usrScore'])        print ("\nContingency table, counts\n",ct1)

       # column percentages        colsum=ct1.sum(axis=0)        colpct=ct1/colsum        print("Contingency table, %\n",colpct)

       print (i,' - ',j,'  chi-square value, p value, expected counts')        cs1 = scipy.stats.chi2_contingency(ct1)        res.append([i,j,cs1])        print (cs1)        compCount+= 1

#print(res) print("\np-threshold is: ",0.05/compCount, "pairwise comparison count: ", compCount) for r in res:    if( r[2][1] < 0.05/compCount):        print( "significant difference ", r[0],' - ', r[1]/compCount,' chi2: ',r[2][0],' p: ',r[2][1])

Results: Contingency table, counts usrScore    0   1   2   3   4 consScore                     0          19  21  20  30  18 1           3   2   5  12  28

Cat Count:  5 Contingency table, % usrScore          0         1    2         3         4 consScore                                             0          0.863636  0.913043  0.8  0.714286  0.391304 1          0.136364  0.086957  0.2  0.285714  0.608696

chi-square value, p value, expected counts (28.811547985026245, 8.537591473674283e-06, 4, array([[15.03797468, 15.72151899, 17.08860759, 28.70886076, 31.44303797],       [ 6.96202532,  7.27848101,  7.91139241, 13.29113924, 14.55696203]]))

Contingency table, counts usrScore   0.0  1.0 consScore           0           19   21 1            3    2 Contingency table, % usrScore        0.0       1.0 consScore                     0          0.863636  0.913043 1          0.136364  0.086957 0  -  1   chi-square value, p value, expected counts (0.0027791501976284585, 0.9579568791170036, 1, array([[19.55555556, 20.44444444],       [ 2.44444444,  2.55555556]]))

Contingency table, counts usrScore   0.0  2.0 consScore           0           19   20 1            3    5 Contingency table, % usrScore        0.0  2.0 consScore               0          0.863636  0.8 1          0.136364  0.2 0  -  2   chi-square value, p value, expected counts (0.03622231934731937, 0.8490571123282389, 1, array([[18.25531915, 20.74468085],       [ 3.74468085,  4.25531915]]))

Contingency table, counts usrScore   0.0  3.0 consScore           0           19   30 1            3   12 Contingency table, % usrScore        0.0       3.0 consScore                     0          0.863636  0.714286 1          0.136364  0.285714 0  -  3   chi-square value, p value, expected counts (1.058845009865418, 0.30347875927817813, 1, array([[16.84375, 32.15625],       [ 5.15625,  9.84375]]))

Contingency table, counts usrScore   0.0  4.0 consScore           0           19   18 1            3   28 Contingency table, % usrScore        0.0       4.0 consScore                     0          0.863636  0.391304 1          0.136364  0.608696 0  -  4   chi-square value, p value, expected counts (11.548642101236773, 0.0006779875572274729, 1, array([[11.97058824, 25.02941176],       [10.02941176, 20.97058824]]))

Contingency table, counts usrScore   1.0  2.0 consScore           0           21   20 1            2    5 Contingency table, % usrScore        1.0  2.0 consScore               0          0.913043  0.8 1          0.086957  0.2 1  -  2   chi-square value, p value, expected counts (0.488944099378882, 0.48439869594507456, 1, array([[19.64583333, 21.35416667],       [ 3.35416667,  3.64583333]]))

Contingency table, counts usrScore   1.0  3.0 consScore           0           21   30 1            2   12 Contingency table, % usrScore        1.0       3.0 consScore                     0          0.913043  0.714286 1          0.086957  0.285714 1  -  3   chi-square value, p value, expected counts (2.397504291571701, 0.12152899463405105, 1, array([[18.04615385, 32.95384615],       [ 4.95384615,  9.04615385]]))

Contingency table, counts usrScore   1.0  4.0 consScore           0           21   18 1            2   28 Contingency table, % usrScore        1.0       4.0 consScore                     0          0.913043  0.391304 1          0.086957  0.608696 1  -  4   chi-square value, p value, expected counts (14.927884615384615, 0.00011169972165538783, 1, array([[13., 26.],       [10., 20.]]))

Contingency table, counts usrScore   2.0  3.0 consScore           0           20   30 1            5   12 Contingency table, % usrScore   2.0       3.0 consScore               0          0.8  0.714286 1          0.2  0.285714 2  -  3   chi-square value, p value, expected counts (0.23964229691876743, 0.6244645861946693, 1, array([[18.65671642, 31.34328358],       [ 6.34328358, 10.65671642]]))

Contingency table, counts usrScore   2.0  4.0 consScore           0           20   18 1            5   28 Contingency table, % usrScore   2.0       4.0 consScore               0          0.8  0.391304 1          0.2  0.608696 2  -  4   chi-square value, p value, expected counts (9.294853165522502, 0.002297985592844461, 1, array([[13.38028169, 24.61971831],       [11.61971831, 21.38028169]]))

Contingency table, counts usrScore   3.0  4.0 consScore           0           30   18 1           12   28 Contingency table, % usrScore        3.0       4.0 consScore                     0          0.714286  0.391304 1          0.285714  0.608696 3  -  4   chi-square value, p value, expected counts (7.980503795721185, 0.004728378161683605, 1, array([[22.90909091, 25.09090909],       [19.09090909, 20.90909091]]))

p-threshold is:  0.005 pairwise comparison count: 10 significant difference  0  -  4  chi2:  11.548642101236773  p:  0.0006779875572274729 significant difference  1  -  4  chi2:  14.927884615384615  p:  0.00011169972165538783 significant difference  2  -  4  chi2:  9.294853165522502  p:  0.002297985592844461 significant difference  3  -  4  chi2:  7.980503795721185  p:  0.004728378161683605

Interpretation: Null hypothesis can be rejected because chi-square value of 28.811547985026245 is big and p value of 8.537591473674283e-06 is very small.

Important: no cause and effect: democracy doesn’t make people to drink alcohol. Increase can be caused by variety of reasons such as more income, more freedom to do things including harm oneself.   

Post-hoc processing: Pairwise comparison with per comparison significance level 0.005 (0.05 significance level divided by 10 comparisons) shows that relative proportions of high alcohol consumption are not independent for the following political score categories combinations: 0-4,1-4,2-4,3-4 where 0 is autocracy and 4 is democracy.

[pinejay]

unfinished pseudocode for file i/o aka how i'm gonna finish 2048

idea 1: iterate though linked list

how to add scores: push to front

how to read in scores to 2 linked lists: infile >> name >> score, add name node, add scores node?

if username is present & newscore > oldscore, remove old score, add newscore

if username isn’t present, add newscore

sort linked list

idea 2: arrays

size determined whether true that infile >> name == username, save location of username, also count++

if true size = count, if false size = count+1

read into arrays of names & scores

if scoresray[loc] > userscore, break/return, else replace old score

if size == count+1 (or loc doesn’t exist or false that username is present), add score at end of array

sort array

[socialistexan]

Lmao the Metacritic userscore for BotW is a 7.8 because of a lot of whiny babies talking about ho, “Nintendo paid all the Garmes Jernalasts” for good scores or that they’ve “Played 20 hours and hated it” on a game that hasn’t even been available for a full day.

This is why you never trust user ratings.

[osaywat]

Platforming Blue Fun

Exploring Super Blue Boy Planet Free to Play adventures

Recently, I got to enjoy a short fun game called Super Blue Boy Planet. To my surprise, not many have heard of it, so I decided to talk about it so more people get to discover this charming title.

Super Blue Boy Planet is a platforming adventure, with quirky pixel graphics and enjoyable music. Developed by Mich Nannings, now available free to download on Steam.

It's an easy and short experience throughout 21 levels, you get to rescue Blue's girlfriend who has been kidnapped by aliens - not much else to the story. Gameplay is straight forward as you can jump and glide through, and just like good old retro games, you jump on enemies to get them out of your way and die if you get hit even once.

Some levels seem a bit unfair, but overall this is a fun experience that I would recommend downloading. Achievements are granted on advancement, so chances are if you get to finish the game, which I'm sure you will, you will get yourself a perfect game score.

From a business perspective, aesthetics are rather pleasant - the combination of hues in a palette of blues and purples, with highlights of green go along visually. Design wise, it presents itself quite simple in its pixel and style - although branding seems inconsistent at times with logo changes.

The most ignored feature while publishing is the copy, copywritting is a powerful variable for advertisement and marketing - it provides brand awareness that gives the user power to act up on a call to action or not. For Super Blue Boy Planet, the copywrite is clean and descriptive, which provides a clear expectation to gamers what to look for the game once you download it.

Through a quick search online for the game, the discoverability seems up to par with the project model - the only presence seems modest, it showcases along the developers personal portfolio; it is free to play on steam, but also found on NewGrounds, GameJolt, Itch.io and other HTML5 game sites. Considering it's a free to play game, there is no information on licensing or sales, but taking into reference SteamSpy data, there are over 100k downloads of the game including a healthy 90% userscore.

All of this without any visible press release or press support, including no press kit available either. It is all community support based on organic and public engagement from the developer - he seems present in pretty platform, becoming open to feedback, along with appreciation to people playing his game.

There is only Super Blue Boy Planet on Steam, but Mich Nannings has plenty more over on his itch.io account. While you go ahead and get Super Blue Boy Planet downloading, I'll go check out Swordvania - his latest metroidvania like platformer game.

Vidya gaems love by @sayomgwtf

[svenerd]

Review Bombing | Wenn Spiele-Blockbuster in den roten Zahlen versinken

Review Bombing | Wenn Spiele-Blockbuster in den roten Zahlen versinken Während sich The Last of Us Part 2 über Lob von der Spielepresse freuen darf, hagelt es bei Metacritic gerade massenhaft negative Nutzer-Kommentare. Auf der Website, die Bewertungen von Spielern und Kritikern zusammenfasst und daraus einen Durchschnittswert ermittelt, steht Naughty Dogs Action-Adventure bei über 56.000 Negativ-Reviews und einem Userscore von 5,3. Damit ist es das neueste prominente Opfer von Review Bombing geworden – dem Phänomen, wenn Spieler absichtlich negative Rezensionen hinterlassen, um den Wertungsdurchschnitt eines Spiels zu senken und so Image sowie Verkaufszahlen zu schaden. Wir schauen uns das Phänomen "Review Bombing" mal etwas näher an, klären die Funktionsweise, die Hintergründe und mögliche Gegenmaßnahmen. Mehr von PC Games: ▶ Aktuelle Spiele: https://amzn.to/2PFHsDX * ▶ PC Games Shop: http://bit.ly/PCGamesShop ▶ PC Games abonnieren: http://bit.ly/1gR7TSo ▶ PC Games Webseite: https://bit.ly/3cdKVEd ▶ PC Games bei Facebook: https://bit.ly/2XFnOgp ▶ PC Games auf Twitter: http://twitter.com/pcg_de ▶ PC Games auf Instagram: https://bit.ly/2BeP4uO #gaming #pcg #pcgames #wissenwasgespieltwird (*) Affiliate-Links haben wir mit einem Sternchen gekennzeichnet. Wir erhalten für einen Kauf über unseren Link eine kleine Provision und können so die kostenlosen Videos teilweise mit diesen Einnahmen finanzieren. Für den User entstehen hierbei keine Kosten.

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[grimlocksword]

Netflix's Queen Cleopatra BOMBS To 1% Userscore | Revisionist History FA...

[acyberbouquetpersona-blog]

How you can Build A Racing Game.

Pokemon Go has expanded a whole lot because the summer season, but it still lacks perhaps one of the most important aspect of the Pokemon experience: neck and neck competitors. Drag the Java game documents from the folder on your computer system and also drop them to the Java folder on your mobile instrument. http://time.com/4458554/best-video-games-all-time/ Download wwe 2011 for JAVA mobile - among the very best JAVA Games. Our pipe will require to team all the documents together per individual user if we want to determine the complete rating over all the circumstances a customer plays during the day. The team score calculation uses fixed-time windowing to split the input information right into hour-long limited windows based on the occasion time (suggested by the timestamp) as information shows up in the pipeline. In asynchronous competitions, there are two approaches utilized by game designers focused around the idea that players matches are videotaped and then program at a later time to other players in the exact same competition. Furthermore, the team score estimation makes use of Light beam's trigger devices to offer speculative outcomes for every hr (which upgrade every five minutes till the hr is up), and also to additionally catch any kind of late information as well as include it to the details hour-long home window to which it belongs. Several mobile games are dispersed complimentary to the end user, however bring paid advertising: instances are Flappy Bird and Candy Squash Saga The latter follows the" freemium" model, where the base game is extra however cost-free items for the game could be purchased independently. The HourlyTeamScore pipeline expands on the fundamental set analysis concepts utilized in the UserScore pipeline and also surpasses several of its limitations. With Orcs & Elves II, designer Fountainhead Home entertainment has taken care of making the type of game that convinced adolescent boys to bypass peer respect and sex-related partnerships throughout the '80s. Turbulenz made the relocate to cost-free in 2014 after its creators made the game engine open source. We were amongst the first firms to develop mobile games for black/white handsets back in 2002. ExtractAndSumScore is written to be more basic, because you can pass in the area through which you wish to group the data (when it comes to our game, by special individual or one-of-a-kind group). Games utilizing the device could be made in JavaScript or TypeScript as well as features a Canvas and also WebGL renderer that can instantly switch between the devices based on browser support. HourlyTeamScore still has high latency between when information occasions happen (the event time) when results are generated (the processing time), because, as a set pipe, it should wait to start refining up until all data events are present. These consist of the (today greatly defunct) Palm OS, Symbian, Adobe Flash Lite, NTT DoCoMo's DoJa, Sunlight's Java, Qualcomm's BREW, WIPI, BlackBerry, Space as well as very early incarnations of Windows Mobile Today, one of the most commonly supported systems are Apple's iOS as well as Google's Android The mobile variation of Microsoft's Windows 10 (formerly Windows Phone) is likewise actively sustained, although in regards to market share remains marginal compared with iOS and also Android. http://www.empowher.com/users/ovaldisease4066 Casting you in the role of a PDA-tapping cupid, it's a game where you need to manoeuvre numerous individuals into relationships by engaging them to do points like most likely to the fitness center as well as obtain drunk. Using fixed-time windowing allows the pipe provide far better info on just how events accumulated in the data collection over the course of the analysis duration. Considering present trends on the market, one of the most successful games are several of the most standard principles you can think of. Yet just what makes them so simple likewise makes them fun as well as extremely habit forming are just how easy the concepts are.