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KevinTrinh1227 committed Jan 25, 2024
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![ppplogo](/static/images/ppp.png)
#
<p align="center">
A Flask application that displays current NBA player score predictions. Please read below.
A Flask application that displays current NBA player score predictions. Please take a look below.
</p>
<div align="center">
<img src="https://img.shields.io/badge/maintenance-experimental-blue.svg" alt="Maintained status" />
<img src="https://img.shields.io/github/v/release/KevinTrinh1227/Prize-Pick-Predictions.svg" alt="Release badge" />
</div>

![3b3f8646e52a86ce072b400c358e9a22](https://user-images.githubusercontent.com/48145892/234551198-3f3d0d0a-fd37-486f-836c-31a0f97fc26e.gif)
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While this project is no longer in an archive, I will slowly commit and integrate appropriate machine-learning algorithms to generate more accurate predictions using the correlation between different combinations of points, rebounds, and assists with the opponent team's ELO, and potentially other variables down the way including home court advantage, fouls, injuries, etc.

## 🏀 What is Prize Pick Predictions?
This Python project is a Flask application that provides "recommendations" for sports betting. With a focus on accuracy and data-driven insights, the app delivers relevant and timely information through multiple APIs, ensuring users have access to up-to-date data and statistics. Designed to offer valuable insights and recommendations, this app caters to both experienced and novice sports bettors, providing an edge in the competitive world of sports betting.
This Python project is a Flask application that provides "recommendations" for sports betting. With a focus on accuracy and data-driven insights, the app delivers relevant and timely information through multiple APIs, ensuring users can access up-to-date data and statistics. Designed to offer valuable insights and recommendations, this app caters to experienced and novice sports bettors, providing an edge in the competitive world of sports betting.

## 🛠 Getting Started

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```

### Initial set-up process
1. Use the link below or [click here](https://api.prizepicks.com/projections?league_id=7) then copy everything to clipboard

1. Install dependencies

```sh
https://api.prizepicks.com/projections?league_id=7
pip install -r requirements.txt
```

2. Paste everything into the JSON file below (since prize picks no longer support public API)
2. Install [Firefox](https://www.mozilla.org/en-US/firefox/new/) & [Gecko Driver](https://github.com/mozilla/geckodriver/releases)
```sh
json files/pre_formatted.json
# Windows driver creation
firefox_options = Options()
firefox_options.binary_location = r'C:\Program Files\Mozilla Firefox\firefox.exe' # Firefox binary location
driver = webdriver.Firefox(service=service, options=firefox_options)
```

3. Install dependencies

```sh
pip install -r requirements.txt
# Linux Ubuntu driver creation
driver = webdriver.Firefox()
```

## 🚀 Host the app locally

1. Run the app and get the HTTP link
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