Inspiration
We came up with the idea of a clutch simulator with player statistics and information by thinking about how we can incorporate game mechanics such as chance of success from games such as XCOM and Civilization into the esports scene with players from a variety of games. The other half of the inspiration came from the fact when you just cannot remember who was on an esports team and what exactly they did.
What it does
Our project takes player information and statistics from Liquipedia and outside stat tracking websites and determines a player's probability of success to win a given fight, such as a 1v1 or 1v3. You also can view more detailed information about a specific player (that is the data used in the clutch calculation)
How we built it
We used the Liquipedia wiki API to grab player information and built a web scraper in python to gather other more in-depth information from outside websites. Our platform was built using Figma and then translated that into tkinter code.
Challenges we ran into
Not every player or game has the in depth statistics that we needed to make this project run perfectly, so some games were left out and some player information was left incomplete. It was quite time consuming to figure out the best way to shift through data and pull out what we needed
Accomplishments that we're proud of
We are proud of finding creative ways to use information on the Liquipedia wiki and that we were able to do so under the stress of dealing with finals.
What we learned
We learned that working with APIs is not always a straightforward task, and sometimes involves additional work and methods to have things work the way we intended them to, and that back and forth feedback during development can lead to great ideas along the way.
What's next for Statsify
We plan to work more on the clutch simulator and will find ways to involve more scenarios with a breakdown of how the situation is most likely to occur based on information such as the amount of first kills or first deaths a player has.
Built With
- api
- figma
- liquipedia
- proxylight
- python
- tkiner
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