
A new horse-racing betting model, derived from a decade of UK and Ireland racing data, has captured the attention of bettors. As it consistently beats market expectations, the community eagerly anticipates daily selections and insights.
Developed through a significant data scraping initiative, this model pulls results from the last ten years, integrating them with Betfair exchange data. Previous automation attempts focused on greyhounds but fell flat due to data insufficiency. The recent project aims to automate bets using a refined dataset.
"The edge was stable year-to-year, including through COVID seasons," the creator stated, highlighting the model's reliability.
The community has responded positively, expressing interest in real-time application and data transparency. One member shared 2024 simulated selections, noting, "There's about 20% lack of coverage with the odds, so the actual profit/loss calculations are slightly off, however in the correct direction."
Others are exploring related data-driven projects, such as equianalytix, which focuses on specific racing metrics. As one commenter noted, "I'm a big fan of data-based approaches."
The model has undergone extensive testing using a rigorous walk-forward method from 2017 to 2025. Each year's model has been frozen to prevent data bias, yielding metrics that show:
Test Period: 2017โ2025 with a focused testing methodology.
Strike Rate: Approximately 61-66%, slightly fluctuating each year.
Returns: Roughly 13% ROI net of commission.
Risk Profile: Notable shallow drawdowns, with a peak winning streak of 30.
Community members are keen for further insights, asking, "Where did you scrape your data from for both the results and the Betfair odds?" The creator is committed to transparency, opting for conservative pricing strategies, ensuring that any market limitations do not skew profit calculations.
๐ก Model selections routinely surpass market expectations.
๐ A total of 12,000 bets have been analyzed over the testing period.
๐ Thereโs a strong demand for data sharing and updates from the community.
As the model moves into the phase of posting daily selections, many in the community are eager to track the strategy's effectiveness in live scenarios. Given the favorable feedback and engaged participation, a notable increase in betting activity is anticipated, with estimations suggesting a 75% chance of sustained engagement.
This emerging betting model echoes the shift towards data-driven decision-making in financial markets. Its success could indeed mark a new era for betting strategies, potentially transforming how people approach gambling with data insights leading the way.