wyhong3103's blog

By wyhong3103, history, 10 months ago, In English

Hello Codeforces,

I wanted to share with you a web application I recently developed. The application filters out unsuccessful contests you have participated in on Codeforces and predicts your rating today based on the performance of the contests you have participated in. The primary purpose of this web application is to help users discover their true potential, serving as a source of inspiration and motivation to empower them to persevere in their endeavors. Initially, my idea was to greedily select contests that have a positive delta based on the current rating, using the rating formula mentioned in this blog post. However, due to slow API calls, I was almost ready to give up on the project. Nevertheless, I decided to proceed for the sake of completeness.

To my surprise, when I completed the application, I found the results to be quite interesting. Additionally, I added a mode that computes the rating using a simple O(1) formula: $$$ delta = (performance - rating) / 4 $$$. I found that not only did this computation take less time, but the results were also convincing.

I thought it would be valuable to share this application with you, as it may provide insights and assistance to Codeforces users in predicting their ratings based on their contest performances.

Without further ado, let me introduce you to

What If I Never Brick

To use the application:

  1. Enter the website.
  2. Enter your Codeforces handle.
  3. Select a calculation mode: either "Fast" or "Slow".
    • The fast mode is incredibly fast because it fetches only the necessary data, which includes your rating changes in every contest, in a single API call.
    • The slow mode takes more time as it needs to fetch all the contest data you have participated in, and each API call takes 2 seconds
  4. Click on the "GO" button and wait for the result.


Thank you for your time.

If you have any further questions or suggestions about this application, please feel free to leave a comment or reach out to me via Codeforces.

Also, feel free to contribute, this is the link to the GitHub Repository.


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