Our Methodology
How we use data science and golf analytics to generate value predictions
The Science Behind Our Predictions
At ChimGolf, we combine advanced statistical methods with deep golf knowledge to create predictive models that identify value in betting markets. Our approach is rooted in data science principles and continuously refined based on performance.
We believe that successful golf betting requires more than just knowing who's playing well—it requires understanding how different skills translate to different courses, how to properly weight recent versus historical performance, and how to identify when the betting market has mispriced a player's true chances.
Our methodology has been developed over years of research and testing, resulting in a proven track record of identifying value opportunities across various bet types and tournaments.
Our Data Sources
We collect and analyze data from multiple sources to build comprehensive player profiles and course models:
Player Statistics
- •DataGolf API: Comprehensive strokes gained metrics and player rankings
- •PGA Tour Statistics: Detailed performance metrics across all measured categories
- •Historical Results: Tournament finishes, round-by-round scores, and performance in similar conditions
- •Form Indicators: Recent performance trends and momentum metrics
Course Information
- •Course Characteristics: Length, fairway width, green size, rough length, etc.
- •Historical Scoring: How the course has played in previous tournaments
- •Weather Conditions: Expected wind, precipitation, and temperature
- •Course Correlation: Similarities to other venues on tour
Track Record & Performance
Our methodology has delivered consistent results over time. Here's how our predictions have performed:
+18.4%
Overall ROI
Since inception
+22.7%
Major Championships
ROI on major tournaments
+15.3%
Top 10 Finishes
ROI on top 10 bets
+12.8%
Matchup Bets
ROI on head-to-head matchups