yak_ex's blog

By yak_ex4 years ago, In English,

I created 3 charts regarding rating distribution in Codeforces.

[Updated] Slightly change chart 2 and 3 to show rating colors.

  1. Rating distribution in Codeforces

    This chart is rating distribution in Codeforcers similar as one shown in TopCoder profile.
    Purple markers and lines show cumulative rate.

  2. Coderforces vs TopCoder in Japanese participants

    This scatter chart shows Codeforces ratings and TopCoder ratings of who met the following conditions:

    - has the same handle name both in Codeforces and TopCoder.
    - is listed in Japanese TopCoders
    - participates more than or equal to 5 times both in Coderforces and TopCoder

    There are 56 samples. Correlation coefficient is 0.87.
    Of course, even though they have the same handle names, they could be different person. There should be who uses different handle name between Codeforces and TopCoder. So, this chart is far from complete. However, it could show rough image.

  3. Codeforces vs TopCoder

    This scatter chart shows Codeforces ratings and TopCoder ratings of who met the following conditions:

    - has the same handle name both in Codeforces and TopCoder.
    - participates more than or equal to 5 times both in Coderforces and TopCoder

    There are 427 samples. Correlation coefficient is 0.82.
    The note for 2nd chart is also applicable to this chart.

 
 
 
 
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4 years ago, # |
Rev. 3   Vote: I like it 0 Vote: I do not like it

Rating distribution looks like TopCoder's. It is good because it means that the probability of bug in rating calculation function is lesser )

Pity that I have another handle on TopCoder, but very similar(Fefer_Ivan)

 
4 years ago, # |
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Thanks, great job! I'm not surprised that they linear relation, because they are both Elo rating system enhancements.

Am I right that any ratings will be linear if they satisfy the formula?