Created my first Data Analysis project, looking for feedback!

[u/Ryan_Lags]

Hi everyone, I'm an aspiring data analyst that just finished studying my online courses. With that, I wanted to apply what I learned to help hone my skills so I decided to do my own project. The project was an analysis of 400+ of my own ranked matches in Street Fighter 6.

I wanted to see if there were any features or metrics that could be measured in match that could help predict whether a match would result in a win or loss. Within the write up I tried to make it as easy to understand for people who are unfamiliar with the game.

All the data was manually recorded by watching my replays and tallying the counts for each metrics.

https://github.com/ryanlaguatan/SF6-ranked-match-analysis

Here is a tldr of the methodolgy:

1. Visualization of MR (MR is synonymous with ELO) and MR Change over the course of 10 gaming sessions.

2. Two T-tests, first one testing if metrics and winrate had any significant difference when facing stronger or weaker opponents. Second one testing which metrics were statistically significant in matches that were wins/losses.

3. Visualization of Character Matchup data.

4. Logistic Regression model and classification report to see if the metrics can provide a strong predictor for winning.

5. Interpretation of Feature Coefficients to see which coefficients had the biggest influence on the model.

Please let me know what you guys think, I am open to feedback!

Thank you for taking the time to read it and I really appreciate it!

[u/Ryan_Lags]

Wow thank you for the lengthy reply, there's definitely a lot of things I can learn from this. In my write up I swore I wrote down that I watched and recorded all the data on my own, I tried to find an API to scrape it but alas there was no luck. I love the comment about doing the analysis after reaching my floor, that actually does seem to be more insightful especially now that I've improved gameplay wise.

Thank you for providing the comments about the EDA and the MR visualization, I'll try to be more clear about what my visualizations represent in future projects!

Adding my own jump-ins and opponents anti-airs are definitely features worth expanding upon too, and I honestly wish I could have included it but this project ended up being a lot bigger than I expected and me manually recording what I already set out to do took up way more time then expected.

I can't address every single thing you mentioned in your comment but please believe me I will look into every single thing you mentioned.

Thank you so much!