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AIPariuri

AIPariuri

Football analytics platform with modelling, odds analysis and automated backtest

Sep 28, 2026 Analytics
automated-backtesting football analytics odds-modelling quantitative-betting sports data

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AIPariuri

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AIPariuri is a production-deployed football analytics and quantitative betting research platform built in Python, offered as a complete software/IP acquisition.The platform provides an end-to-end infrastructure for pre-match football analysis, including Dixon-Coles goal modelling, Elo ratings, xG and form analysis, motivation factors, multi-bookmaker odds processing, Shin/Power devigging, probability calibration, value detection, historical backtesting, CLV analysis, automated settlement, PDF reporting and Telegram delivery.The system currently supports 1X2, Double Chance, BTTS and Over/Under goal markets and includes a structured SQLite data layer, API integrations, automated workflows, testing infrastructure and extensive research/diagnostic tooling.A key part of the asset is the research work already completed. Extensive temporal, provenance and out-of-sample testing found that the current predictive model does not demonstrate stable incremental betting alpha over bookmaker market probabilities. This result is fully documented rather than hidden. The platform is therefore being sold as a mature analytics, research and automation infrastructure — not as a guaranteed profitable betting system.The acquisition includes the complete Python source code, modelling and odds engines, backtesting framework, reporting and automation infrastructure, test suite, technical documentation and documented research findings. Sensitive credentials and third-party provider accounts are not included; the buyer can configure their own API accounts.The architecture provides a strong foundation for a buyer who wants to develop a next-generation market-as-prior/residual model, conduct quantitative sports research, build football analytics products, or significantly reduce the engineering time required to create this infrastructure from scratch.Public asking price: EUR 15,000.Serious buyers can receive additional technical and due-diligence information before source-code transfer.

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