Analytical Dutch Framework for Paired EPL Fixtures
Abstract
This study develops an analytical Dutch framework for paired same-day English Premier League fixtures, addressing a gap in the sports betting literature where Dutch strategies have received no systematic empirical treatment in football markets. Rather than employing covariate-heavy prediction models or simulation-based estimation, the framework derives outcome probabilities exclusively from historical head-to-head frequency distributions, drawing on EPL match records spanning the 2010/11 to 2025/26 seasons. For each fixture in the 2020–2026 evaluation window, probabilities are recalculated using all available head-to-head records strictly prior to that fixture’s date, ensuring no forward-looking information enters the estimation. Across two concurrent same-day matches, a 3×3 joint outcome space is constructed. Through exhaustive enumeration of all possible two-outcome exclusion configurations, each evaluated via direct joint probability computation, the optimal configuration maximizing covered probability mass is identified, and stakes are allocated across the remaining seven outcome combinations in inverse proportion to their parlay odds, such that any winning combination returns a consistent margin. The framework is deliberately designed to accommodate the practical constraints of the ordinary bettor — including same-day fixture windows, manageable slip counts, and reduced cognitive load — thereby distinguishing it from institutionally oriented approaches that dominate the existing literature. Applied to 169 valid match pair opportunities, the framework achieves an actual win rate of 88.17% and an average Dutch margin of 9.71% across 117 profitable configurations. These findings demonstrate that the joint outcome space of paired football fixtures is a tractable and underexplored domain for systematic analytically grounded wagering strategies.
Fields of Study & Subjects
Sports Analytics and Performance
Forecasting Techniques and Applications
Gambling Behavior and Treatments
Publication details
- Publication date
- 1 January 2026
- Language
- EN
- Document type
- Preprint