ddayto21 / NBA-Time-Series-ForecastsLinks
This repository leverages machine learning models to predict the outcomes of NBA regular season games and their final scores. By analyzing historical game data, advanced metrics, and team performance trends, the project delivers data-driven insights into game results and scoring patterns
☆13Updated 9 months ago
Alternatives and similar repositories for NBA-Time-Series-Forecasts
Users that are interested in NBA-Time-Series-Forecasts are comparing it to the libraries listed below
Sorting:
- A machine learning project to predict moneyline and over/under probabilities for the NBA.☆12Updated 2 years ago
- NBA Three-Point Model for Sports Betting☆19Updated 2 years ago
- This model predicts and bets on every NBA game in a season.☆15Updated 5 years ago
- Using decision tree and random forest models, predict the winner of an NBA regular season game☆14Updated 7 years ago
- Machine learning model that predicts the outcome of NHL and NBA games, determining the probability of teams winning and point spreads.☆12Updated 6 months ago
- Training a neural net to predict betting odds for a baseball game at any stage in the game.☆12Updated 2 years ago
- Machine Learning model(specifically log-regression with stochastic gradient descent) for tennis matches prediction. Achieves accuracy of …☆41Updated 3 years ago
- R Package for Sports betting☆75Updated 2 years ago
- Sports Betting Tools☆17Updated 5 years ago
- An R Shiny app to help make betting decisions for FanDuel player props☆21Updated 3 years ago
- A scraping and aggregating package using the CollegeFootballData API☆35Updated 4 years ago
- Model to Predict Over/Under Outcomes for the Upcoming NFL Season☆40Updated 7 years ago
- NBA game prediction model☆17Updated 5 years ago
- Betting on the NBA with data☆147Updated 10 months ago
- Using AI to predict the outcomes of NBA games.☆65Updated 9 months ago
- Using lpSolve library to find perfect DraftKings lineup☆24Updated 9 years ago
- All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.☆67Updated 7 months ago
- Sportsbookreview.com scraper + complete 10Y games+odds data for NFL, NBA, NHL, MLB for bettors and sports analysts☆43Updated last year
- The module gets upcoming sports betting odds from The Odds API and calculates the expected value (ev) of that bet with regard to either o…☆21Updated 3 years ago
- An algorithmic web scraper for identifying positive EV sports bets, complete with historical betting data and notifications.☆21Updated 2 years ago
- Create and update a SQL database of NBA stats☆13Updated 6 years ago
- A Python module to scrape data from basketbal-reference.com and convert it to pandas data structures for analysis.☆23Updated 2 years ago
- R package to scrape live sports betting odds☆65Updated 8 years ago
- Model created for FiveThirtyEight Forecast Competition☆32Updated 3 years ago
- Documentation, guides and articles on creating, developing and implementing automated betting strategies, using data analysis to inform b…☆57Updated this week
- Build an automated betting model to identify and predict games which are inefficiently priced and have my model simulate a real bettor ov…☆32Updated 8 years ago
- System for selecting optimal march madness brackets☆19Updated 2 years ago
- This is the code for constructing a portfolio of lineups for DraftKings baseball contests with a top heavy payoff structure. This code is…☆41Updated 6 years ago
- Scrape Draftkings Sportsbook using Python's Beautiful Soup library and DraftKings' API.☆46Updated last year
- Historical RAPTOR and other NBA data.☆48Updated 4 years ago