
Goal Range Model (beta)
Stop guessing. Let the data pick your bets.
Goal Range Model (beta) launched on June 1, 2026 with 2 votes. The site was not reachable when checked in September 2026.
What it does
GRM Pro is a football prediction engine built on Bayesian probability modelling — combining Dixon-Coles statistical blending with real empirical hit rates to generate daily picks across 360+ fixtures in 30+ leagues worldwide. Built solo over three months on a phone. No team, no funding, no official data access. The model has processed 1,000+ fixtures with 60%+ accuracy across all markets.
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Euro 2016 predictions using Bayesian inference2016 · kickoff.ai · ▲79


Open-source LLM and dataset for sports forecasting (Pro Golf)Feb 2026 · huggingface.co · ▲7Hey HN, I fine-tuned a small open-source model on golf forecasting and it beats GPT-5 at predicting golf outcomes. The same approach can be used to build a specialized model in any domain, you just need to update a few search queries. We fine-tuned gpt-oss-120b with LoRA on 3,178 golf forecasting questions, using GRPO with Brier score as the reward. Our model outperformed GPT-5 on Brier Skill (17% vs 12.8%) and ECE (6% vs 10.6%) on 855 held-out questions. How to try it: the model and dataset are open-source, with code, on Hugging Face. How to build your own specialized model: Update the…
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