nflstats
There are 58 repositories under nflstats topic.
nflverse/nflfastR
A Set of Functions to Efficiently Scrape NFL Play by Play Data
MySportsFeeds/mysportsfeeds-python
Python wrapper for the MySportsFeeds Sports Data API
rushfive/FFDB
NFL Database Engine for PostgreSql and Mongo (easily works with other custom databases too)
nflverse/nflplotR
A set of functions to visualize National Football League analysis in 'ggplot2'
MarcLinderGit/NFL_Stats
"Python web scraping for NFL stats from the official website for the 2023 season, covering multiple categories."
earlejam/ffl-analyzer
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.
markdagraca/NFL-Winner-Predection
Using FiveThirtyEight, Masseyratings, Sportline data on NFL winners combined with SCIKIT machine learning to predict the winner of a NFL GAME
ColeBallard/nfl-data-scraper
Python tool to scrape historical NFL data that captures basic stats and provides several formats for usage.
lightningcookies/Custom-Fantasy-Projections
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.
jgamblin/NFL-Jupyter
NFL Jupyter Notebooks
krmannix/nfl_player_searchex
Unofficial search for NFL players via the official NFL search
rbhushans/nfl-statsbot
NFL Statsbot tweets NFL statistics for teams and players since 1999.
brianbaldner/NFLData.net
API client to connect to various NFL apis, like NFL.com and ESPN fantasy
CorvusCodex/AmericanFootballAi
American Football match winner prediction artificial intelligence
jacobeturpin/nfl-offensive-playcalling-optimization
A reinforcement learning approach to developing an optimal policy for NFL offensive playcalling
logan-lauton/nfl_webscrape
web scrape performed for Kaggle dataset.
paulg66/NFL_Draft
NFL Draft Dashboard, built in R Shiny
pnxenopoulos/nfl_text_analysis
A textual analysis of public NFL scouting reports
schwifty42069/pawnstars
Python API Wrapper for NFL Statistics and Related Subject-matter
bschiwal/FFAnalysis
An analysis of Fantasy Football Data for a unique scoring technique.
SportsDataDirect/python_tutorials
Tutorials written in python for Sports Data Direct
chipkajb/nfl_big_data_bowl_2021
This repo contains football analytics scripts for the 2021 NFL Big Data Bowl.
coleramos425/nflIntelligence
An analysis of NFL player intelligence and its relation to performance.
danieldriessen/ioBroker.nfl
An adapter for the ioBroker-system that fetches the latest NFL scores and other NFL related information.
dgluesen/relevance-nfl-statistics
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.
jtyran/NFL-Analytics
Solving a few real world data related questions on football.
jtyran/Special-Teams
Player Performance Model using NFL Tracking Data
lpdabest1/NFL-Player-Search-App
An application that allows user to search for an NFL Player and retrieve data/information about them.
premDelaprem/NFL-injury-prediction-and-analysis
Predicting NFL injuries and analyzing circumstances in which injuries occur from a play-by-play perspective
SolB77/Is-the-NFL-Combine-Relevant-to-Player-Performance
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.
terrylashley/NFL_data
Analyze various NFL projects designed to increase ROI for NFL Prospects
zstromqvist/football-analysis
Code for analysis regarding nfl and nfl fantasy
gordonliang7/NFL-Drives
In the attached R document, I assess the controversial topic of when to punt vs when to go for it
harmanveer-2546/Sports-Bets-Winning-Algorithm
Sports betting is the activity of predicting sports results and placing a wager on the outcome.