There are 2 repositories under nflstats topic.
Python wrapper for the MySportsFeeds Sports Data API
Using FiveThirtyEight, Masseyratings, Sportline data on NFL winners combined with SCIKIT machine learning to predict the winner of a NFL GAME
A Python program for creating weekly power rankings for ESPN Fantasy Football leagues. Also includes source code for the ESPN Fantasy Explorer, an interactive visualization tool for public fantasy football leagues. NOTE: Website currently unavailable due to ESPN Fantasy Football platform overhaul.
"Python web scraping for NFL stats from the official website for the 2023 season, covering multiple categories."
Python tool to scrape historical NFL data that captures basic stats and provides several formats for usage.
Unofficial search for NFL players via the official NFL search
NFL Statsbot tweets NFL statistics for teams and players since 1999.
API client to connect to various NFL apis, like NFL.com and ESPN fantasy
American Football match winner prediction artificial intelligence
A reinforcement learning approach to developing an optimal policy for NFL offensive playcalling
web scrape performed for Kaggle dataset.
A textual analysis of public NFL scouting reports
Python API Wrapper for NFL Statistics and Related Subject-matter
Welcome to the Custom-Fantasy-Projections repository! This personal project aims to provide a way to make your own custom fantasy projections using R and Microsoft Excel. Whether you're an analyst, a fan fantasy football, or a data enthusiast, this repository aims to allow you to create a template for your own custom fantasy projections.
Tutorials written in python for Sports Data Direct
This repo contains football analytics scripts for the 2021 NFL Big Data Bowl.
This repository contains a few of the assignments and projects I completed as part of my Sports Analytics course. The final project is titled "Random Forest Model Predicting NFL Comeback at Halftime", which accompanies the Powerpoint containing my interpretation of the model's performance and its usability.
An analysis of NFL player intelligence and its relation to performance.
An adapter for the ioBroker-system that fetches the latest NFL scores and other NFL related information.
Nowadays, sports events live above all from their media coverage, which includes cheering up winners and writing down losers. Statitstics are used to underpin the own argumentation in this reports. But is there any cherry picking here? Are only those statistics used that make the report/commentary look completely logical? In order to give an initial assessment of the relevance of typically used statistics of NFL games, a simple but easily understandable machine learning approach is presented. This reveal statistics which might be used as a solid basis for argumentation.
Solving a few real world data related questions on football.
An application that allows user to search for an NFL Player and retrieve data/information about them.
Completed an analysis on the relationship between the combine performance and future league performance of 941 NFL players drafted between 2015 and 2017 using R. Proved that the combine performance of NFL players has little to no correlation on future player performance using linear regression. My goal was to show that the NFL Combine should not be an important factor in how players are drafted. This repository contains "Preliminary Data Cleanup", an RMD of my data pre-processing, and "Is the NFL Combine Relevant to Player Performance", a PDF of my RMD analysis and results.
Analyze various NFL projects designed to increase ROI for NFL Prospects
Code for analysis regarding nfl and nfl fantasy
In the attached R document, I assess the controversial topic of when to punt vs when to go for it
Predicting NFL injuries and analyzing circumstances in which injuries occur from a play-by-play perspective
The following file contains my data science project which I completed along with three other teammates,, investigating how various external factors impact NFL offensive performance of teams. In the file "Fallproject", you will find the code, as well as the final report of this project.