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Fanasty Faceoff

Fantasy Faceoff is a React-based web application that allows users to compare NFL players' statistics side-by-side to determine which player is a better pick for their fantasy football team. By leveraging real-time NFL player data and calculating average fantasy points per game, Fantasy Faceoff simplifies decision-making for fantasy football enthusiasts.

Website

https://fanasty-faceoff.web.app/

🚀 Features

Search and Compare:

Quickly search for two NFL players using the autocomplete search bar. Compare their performance statistics side-by-side in an intuitive interface. Fantasy Points Calculation:

Displays average fantasy points per game based on standard scoring rules. Accounts for passing, rushing, receiving, and miscellaneous stats. Responsive Design:

Designed to work seamlessly on desktops, tablets, and mobile devices.

Real-Time Data:

Powered by Balldontlie API to fetch up-to-date player statistics.

🏗️ How It Works

Search Players:

Type the name of an NFL player in either of the two search bars. Select a player from the autocomplete dropdown.

View Comparison:

The app calculates the average fantasy points per game for each player. Displays a comparison table with the results for easy analysis.

Make Informed Decisions:

Use the comparison data to decide which player is the better pick for your fantasy football team. 🧮 Fantasy Scoring System Fantasy Faceoff uses the following standard fantasy football scoring system:

Passing Stats:

1 point per 25 passing yards. 4 points per passing touchdown. -2 points per interception.

Rushing Stats:

1 point per 10 rushing yards. 6 points per rushing touchdown.

Receiving Stats:

1 point per 10 receiving yards. 6 points per receiving touchdown. 1 point per reception (PPR).

Miscellaneous:

-2 points for lost fumbles.

💻 Technologies Used

Frontend:

React.js for building the user interface. CSS for styling and responsive design.

API:

Balldontlie API for player statistics.

Development Tools:

Visual Studio Code for development. Git and GitHub for version control.

Authors

Quinn Austin, Greg Forston, Marcus Razo

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