Hey guys, how are you enjoying Worlds 2020?
I enjoy watching WCS games myself, of course. I just started LoL this spring after Corona, and a lot of the pro games are exciting for me. I try to share my impressions and original content on my blog.
By the way, have you ever heard of the "Bliz-kun" model that appeared on the LJL game broadcast? It's a system for predicting winnings rate after the draft and in the middle of a game. I haven't seen anything like this outside of the LJL and LPL. (I was watching games in the LJL, LCK, LPL, and LEC regions this summer.) I like the system as an element of spectatorship, and I'm technically interested in it because it's close to my field of study.
As you know, no such system for predicting the odds of winning has appeared in the WCS. Then I'm going to try to mimic this system myself, which is the main purpose of this article. I decided to call this challenge the "Bli2kun Project".
In this article, I'm going to write about the ideas I tried and the interesting results I got, not the program code and other details.
- Overview of "Bli2kun Project" Version 1
- Collecting Data
- Machine Learning Model which I Used
- Input Shape for the Model: One-hot Encoding
- Problem Setting
- Motivation of Version1
- Future Works
- Test & Trials
- Trials Using the Matches in WCS Group Stage
- Group Stage Day5 Tiebreaker: Suning vs G2：Suning Win
- Group Stage Day6: JDG vs DRX：JDG Win
- Group Stage Day8: DRX vs TES：TES Win
- Appendix: Champion Importance which Bli2-kun learned