Who is MyScorePrediction AI?
MyScorePrediction AI is the editorial pseudonym for the model ensemble that produces every prediction on the site. It is not a person. It is a multi-model pipeline that ingests structured fixture data and emits a probability distribution, an expected scoreline, and a short reasoning paragraph. Built on top of Large language models and grounded in probability theory.
Human expert behind the system
Editorial standards, model evaluation, and the way every prediction is presented to readers are overseen by David Taylor.
David is the sports analytics specialist and editor behind MyScorePrediction. He has spent over eight years working with football data, expected-goals models, and machine-learning forecasting, and he sets the editorial rules the AI author has to follow — what gets published, how uncertainty is shown, and where the model's limits are stated.
Founder and AI engineer
The platform, prediction pipeline and scoring rules are built and maintained by Ivan Sirenko.
Ivan is the founder and AI engineer behind MyScorePrediction. He builds prediction pipelines that combine large language models, probability calibration and structured football data. The site is the published surface of that work — every prediction on it runs through the model ensemble he designed and maintains.
Areas of expertise
- European top-flight football: Premier League, La Liga, Bundesliga, Serie A, Ligue 1, Eredivisie, Primeira Liga, Brasileirão.
- European club competition: UEFA Champions League.
- International tournaments: FIFA World Cup 2026.
- Probability calibration, exact-score modelling, and head-to-head historical aggregation.
Transparency
Every match page that this author publishes carries a generated/updated timestamp. The methodology page details the inputs, models, and known limits. Predictions are not endorsements, not betting advice, and not a substitute for current injury or lineup news.