Hello! 👋
I’ve been working on a script to help me analyze NBA stats for sports bets and research. My goal is to build a strong foundation using Python and tools like the nba_api library. For context, I use data apps like Hall of Fame Bets and Outlier Pro, but I wanted to create something of my own to start learning scripting and stat analysis.
The script fetches player game logs, projects key averages (Points, Rebounds, Assists, etc.), and exports the results to a CSV file. It even supports partial player name searches (like ‘Tatum’ for Jayson Tatum).
🔧 What I’ve Done So Far:
- Fetch NBA player stats using the
nba_apilibrary. - Calculate stat projections based on user-specified recent games (default = last 5).
- Export results to a CSV file for further analysis.
🚀 What’s Next?
I’d love feedback, ideas for features to add, or help with improving the code structure.
My scripting knowledge is still limited, so contributions or suggestions would be incredibly helpful!
GitHub Repo:
https://github.com/parlayparlor/nba-prop-prediction-model
Feel free to test it out and let me know what you think. Let’s make this the start of something special!
submitted by /u/ZealousidealGuest276
[link] [comments]
​r/learnpython Hello! 👋 I’ve been working on a script to help me analyze NBA stats for sports bets and research. My goal is to build a strong foundation using Python and tools like the nba_api library. For context, I use data apps like Hall of Fame Bets and Outlier Pro, but I wanted to create something of my own to start learning scripting and stat analysis. The script fetches player game logs, projects key averages (Points, Rebounds, Assists, etc.), and exports the results to a CSV file. It even supports partial player name searches (like ‘Tatum’ for Jayson Tatum). 🔧 What I’ve Done So Far: Fetch NBA player stats using the nba_api library. Calculate stat projections based on user-specified recent games (default = last 5). Export results to a CSV file for further analysis. 🚀 What’s Next? I’d love feedback, ideas for features to add, or help with improving the code structure. My scripting knowledge is still limited, so contributions or suggestions would be incredibly helpful! GitHub Repo: https://github.com/parlayparlor/nba-prop-prediction-model Feel free to test it out and let me know what you think. Let’s make this the start of something special! submitted by /u/ZealousidealGuest276 [link] [comments]Â
Hello! 👋
I’ve been working on a script to help me analyze NBA stats for sports bets and research. My goal is to build a strong foundation using Python and tools like the nba_api library. For context, I use data apps like Hall of Fame Bets and Outlier Pro, but I wanted to create something of my own to start learning scripting and stat analysis.
The script fetches player game logs, projects key averages (Points, Rebounds, Assists, etc.), and exports the results to a CSV file. It even supports partial player name searches (like ‘Tatum’ for Jayson Tatum).
🔧 What I’ve Done So Far:
- Fetch NBA player stats using the
nba_apilibrary. - Calculate stat projections based on user-specified recent games (default = last 5).
- Export results to a CSV file for further analysis.
🚀 What’s Next?
I’d love feedback, ideas for features to add, or help with improving the code structure.
My scripting knowledge is still limited, so contributions or suggestions would be incredibly helpful!
GitHub Repo:
https://github.com/parlayparlor/nba-prop-prediction-model
Feel free to test it out and let me know what you think. Let’s make this the start of something special!
submitted by /u/ZealousidealGuest276
[link] [comments]Â