nba-analytics
There are 194 repositories under nba-analytics topic.
kyleskom/NBA-Machine-Learning-Sports-Betting
NBA sports betting using machine learning
christopherjenness/NBA-player-movement
Visualization and analysis of NBA player tracking data
neeilan/DeepPlayByPlay
Labelling NBA action using deep learning :basketball:
NBA-Betting/NBA_Betting
Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.
JakeKandell/NBA-Predict
Predicts Daily NBA Games Using a Logistic Regression Model
sportsdataverse/hoopR
An R package to quickly obtain clean and tidy men's basketball play by play data.
stattleship/stattleship-r
Stattleship R Wrapper
MySportsFeeds/mysportsfeeds-api
Feature requests for the MySportsFeeds Sports Data API.
christopherjenness/NBA-analytics
Short, offhand analyses of the NBA
shufinskiy/nba-on-court
Python package for filling in information about players on court in NBA play-by-play data.
MySportsFeeds/mysportsfeeds-r
R wrapper functions for the MySportsFeeds Sports Data API
ebaek/NBAShotTracker
NBAShotTracker is a data visualization tool to track player shot performance.
NocturneBear/NBA-Data-2010-2024
This repository contains CSV files containing comprehensive NBA data spanning from the year 2010 to 2024, offering valuable insights into player statistics, team performances, game outcomes, and more.
NBA-Betting/NBA_AI
Using AI to predict the outcomes of NBA games.
thunky-monk/kawhi
stats.nba.com library :basketball:
Spencer-Weston/NBApredict
NBA game prediction model
naveedgol/NBARotationChart
Displaying team performance against player rotations during NBA games
xieincz/visualization-final-project
本项目综合运用d3、echarts来完成可视化工作，实现了对nba两场比赛的可视化数据分析，包括球员运动轨迹、个人数据、传球次数以及得分位置等多种可交互式图表。通过可视化方法，我们能够进一步深入分析球队的具体情况，便于制定更佳的战术。
arvkevi/nba-roster-turnover
Interactive exploration of NBA roster turnover
SravB/NBA-Predictive-Analytics
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
ccagrawal/nbaTools
Scraper for NBA data
josedv82/EPV_NBA_Dashboard
A conceptual dashboard to visualize Expected Possession Value (EPV) in the NBA.
luke-lite/NBA-Prediction-Modeling
Using machine learning to predict the outcome of NBA games.
joeyism/nnnba
Analysis of NBA player stats and salaries of the 2016-17 for the 17-18 season
sidharthrajaram/CrystalBall
🔮 Predicting NBA games using statistics (65% accuracy so far)
wilsonCernWq/NBAstatsVIS
visualization course project
treelover28/nbaMatchPredictor_PROTOTYPE
This simple program predicts the result of an NBA match. Uses Monte-Carlo simulation to give the probability of each team winning the matchup.
dgrubis/NBA-Draft-Model-2018
Jupyter notebook that outlines the process of creating a machine learning predictive model. Predicts the peak "Wins Shared" by the current draft prospects based on numerous features such as college stats, projected draft pick, physical profile and age. I try out multiple models and pick the best performing one for the data from my judgement.
fischlerben/NBA-Position-Predictor
Machine Learning project using 15 seasons of NBA data (2005-2020) to predict player position. Decision Trees, Random Forests, Support Vector Machines (SVMs) and Gradient Boosted Trees (GBTs) utilized. Example PCA transformation of X-data included as well. Specific predictions made at the end, leading to interesting insights into what players are out-of-position.
gilha/nba-2k23-etl-and-data-analysis
ETL + Exploratory Data Analysis of NBA 2K23 Game's data
josedv82/sportVU_NBA_Tracking
A working workbook looking at physical demands of plays in NBA using SportVU legacy data.
mvanbommel/nba_scorekeeper_bias
Code for the article "Adjusting for Scorekeeper Bias in NBA Box Scores" published in DMKD and presented at Sloan.
nogibjj/BallersDash
The NBA Statistics Dashboard is an innovative and user-focused project that harnesses daily data scraping to create a dynamic platform for sports bettors, NBA enthusiasts, and fantasy league participants.
PatrickChodowski/NBAr
R package to interact with NBA api
logan-lauton/nba_webscrape
web scrapes performed for Kaggle datasets.