This repo contains tools for synthesizing raw player stats into pick suggestions by weighting against relative importance of a given stat category (according to fantasy points awarded).
For NFL, an interactive 2D scatter plot is generated showing per-position player z-score versus per-position defense z-score, based on career, season and three recent games' stats. Player scatter points are colored according to position, shaped according to favored/unfavored and sized according to betting spread.
For nhlRosterPick, an interactive 2D scatter plot is generated showing per-position player z-score versus per-position defense z-score.
For nhlRosterGenerate, an interactive 2D scatter plot is generated showing mean roster rank versus total roster salary, according to information gathered from the next NHL contest on FanDuel.
- PostgreSQL
- nfldb (including setup and initialization)
- Pandas
- mpld3
- qgrid
- py-nhl (included as nhl/stats.py)