zlisto / Daily-Fantasy-Baseball-Contests-in-DraftKings
This is the code for constructing a portfolio of lineups for DraftKings baseball contests with a top heavy payoff structure. This code is based on the paper Picking Winners Using Integer Programming by David Hunter, Juan Pablo Vielma, and Tauhid Zaman (https://arxiv.org/abs/1604.01455).
☆39Updated 6 years ago
Alternatives and similar repositories for Daily-Fantasy-Baseball-Contests-in-DraftKings:
Users that are interested in Daily-Fantasy-Baseball-Contests-in-DraftKings are comparing it to the libraries listed below
- ☆107Updated 8 years ago
- Lineup optimization for daily fantasy sports☆48Updated 3 years ago
- Using lpSolve library to find perfect DraftKings lineup☆23Updated 8 years ago
- Optimizers for Daily Fantasy Sports written in python and based on Picking Winners paper.☆64Updated last year
- Code to build and test the expected points and win probability models in nflscrapR☆39Updated 6 years ago
- A scraper to scrape the NBA API and compile a play by play file☆74Updated 2 years ago
- Week by week data scraped from the next gen stats public website☆10Updated 5 years ago
- next-gen-scrapy updated for Python 3+☆69Updated 4 years ago
- Here is a simple genetic algorithm to produce lineups for daily fantasy contests on DraftKings.☆14Updated 6 years ago
- A set of NBA optimizers and GPP tools to help you win daily fantasy sports☆16Updated 5 months ago
- ☆46Updated 2 years ago
- Demo of NBA Expected Possession Value model☆74Updated 9 years ago
- Men's College Basketball Play by Play Data☆36Updated 4 years ago
- A simple yet comprehensive web scraper for kenpom.com.☆79Updated 5 months ago
- sportsdataverse python package☆85Updated 3 months ago
- A genetic algorithm to optimize your baseball and football daily fantasy sports lineups☆16Updated 7 years ago
- NFL data, analysis, viz, etc