"Slow is smooth, smooth is fast" - Conor Mcgregor
Tracking mixed martial arts competitions and betting activity to identify optimal trading strategies. Take a statistical and automated approach to placing wagers on weekly events in an effort to maximize returns and minimize human engagement with detailed analysis.
Create a betting strategy that outperforms generic approaches (random chance, bookmaker odds, etc) and delivers supierior, and uncorrelated, returns to the broader markests.
Bill Benter, a successful horse gambler active mostly during the 1990s in Hong Kong that one of the first to popularize quantitative betting models in a sports context.
| Name | Link | Description |
|---|---|---|
| UFC Stats | ufcstats.com | Historical UFC fight data and roster |
| Tapology | tapology.com | Comprehensive event and figter data across numerous MMA venues |
| Best Fight Odds | bestfightodds.com | Historical odds for MMA events from a variety of sportsbook platforms |
A few main focus questions:
- What are the main fighter characterics that influence win/lose probability?
- How random are fight outcomes?
- Can public odds markets accurately predict fight outcomes?
- What types of fights are the most predictable/unpredictable?
- Is there enough publically available data to make informed decisions about fight outcomes?
- What is the best model choice for predicting fight outcomes?
- Can I create a specifc ELO system that seems to reflect other MMA ranking systems well?
- FanDuel (NY), BetMGM (NY), Caesars (NY), WynnBET (NY), BetRivers (NY), DraftKings (NY), PointsBet (NY)