FAF Statistics Megathread
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There are ~13,245,017 games on the replay vault.
Of the ~7,196,303 that showed up in the duration-refined results, 5,746,418 were 5+ minutes and 1,449,885 were 5 minutes or less. 932,939 results showed up when the duration was set to 60+.
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https://github.com/yaniv-aknin/fafdata
https://github.com/yaniv-aknin/fafalytics
"Boxplot of Actions Per Minute (APM) bucketed by the player's FAF rating. This plot analyses about half a million 1v1 ladder game replays."
"Lineplot showing the APM over time of Tagada"
"Scatter plot showing the coordinates of ~all player commands issued during a game on Open Palms... Every dot represents a command given by the blue or orange players. The size of the dot is the number of units instructed with this command... the X-axis is reversed in this chart"
"Boxplot showing the area of the map covered by commands after 5 minutes of playing, bucketed by player rating. We can see top players cover more of the map with their activity."
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Love stats. First image is unintelligible though. Should remove the faction colours and use a LOESS approach to scatterplot smoothing to get a nice lineplot for each of the subgraphs.
Who's the max outlier in the second graph, last rating bucket?
For third image, should add a low-opacity overlay of the map on top of the graph haha.
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I had a second so I pulled the unique players per month and player games per month for the last 10 years just to show how the trend continued from the first post
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I became interested in what countries players play FAF from, but I did not find such graphs or diagrams. Please make a chart where the percentage indicates from which countries how many players play.
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@Sheikah When you have time could we get an updated graph that includes 2024?
Also, would it be possible to get stats on how many active players we have in different rating brackets? It would be useful to gauge if there is a decline in new players or if high-rated scene is declining. -
Yes, we clearly need a graph to see if high rated scene is declinging. I bet it doesn't even show as declining because tons of people are 2k+ now, but the skill difference is still there.
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@nuggets said in FAF Statistics Megathread:
Yes, we clearly need a graph to see if high rated scene is declinging. I bet it doesn't even show as declining because tons of people are 2k+ now, but the skill difference is still there.
People like you are exactly why the competitive scene is "declinging." Instead of focusing on supporting and encouraging new players, you seem to be more interested in maintaining a sense of elitism. The influx of high-rated players should be seen as an opportunity to foster a more vibrant and dynamic competitive environment. By being dismissive and critical, you're contributing to a negative atmosphere that discourages new talent from developing and thriving. If we want the competitive scene to grow and improve, we need to be inclusive and supportive, not dismissive and divisive.
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GG, got me Evildrew.
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hi @tatsu
Could you please share the code to the API to generate this data . I would like to do some statistics
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@Khal i am currently working on providing new statistics and made a few python scripts do pull info from the API. Contact me on discord and we can have a chat.
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I IndexLibrorum referenced this topic on
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Not to necro this thread but I would love to see players by country by percentage. There seems to be lots of russians playing!
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@DETHTRON Only the data for the last 2 years will not be relevant as many Russian players have started using VPNs
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@DETHTRON There's no easy way to look at this, because we don't store the country of origin anywhere.
I could do some IP lookup stuff, but like Skrat said many Russians will be falsely identified as members of other countries due to VPN use. Similarly we have a number of Chinese players who all use VPNs.More recent stats here, why the way.
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@Skrat said in FAF Statistics Megathread:
@DETHTRON Only the data for the last 2 years will not be relevant as many Russian players have started using VPNs
You can approximate many of them by parsing game chat from replays. Few words in a relevant language will be enough to label player with a 90-95% certainty.
It's possible but it will take a few more tricks like this just to discover one demographic group.
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@Sainse I disagree. Many players do not write a single word in the chat during the entire game + many players write in English, even when it is not their native language. I've played a lot of games where 7 out of 8 players were from Russia, but they still wrote in English.
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