David Taylor
Sports Analytics Specialist & Editor
Content strategist and editor with 8+ years in sports data analytics and AI forecasting. He sets the editorial standard for every prediction published on MyScorePrediction and reviews how the models are presented to readers.
Highlights
- Accomplished content strategist and editor with over 8 years of experience in sports data analytics and AI forecasting.
- Certified Machine Learning & Data Analytics Specialist.
- Specialises in European football leagues, expected goals (xG) models, and machine-learning algorithms for sports analytics.
- AI forecasting and predictive modelling expert with extensive knowledge of neural networks in sport.
- Sports analytics expert with 550+ articles written and reviewed.
- Strong advocate for data-driven, emotion-free decision-making with deep knowledge of risk management.
Experience
David's passion for sports analytics began with an attempt to calculate the outcomes of his favourite football team's matches mathematically. That interest quickly turned into a deep understanding of how models and datasets find patterns where human judgement fails.
As machine learning matured in sports forecasting, he became an early adopter and researcher of AI-driven predictive platforms, and built a career at the intersection of sports marketing and data science.
A marketing background and self-taught digital skills opened the door to the sports-tech media industry. Specialising in forecasting algorithms, he tested over 100 AI prediction tools and documented their accuracy, stability, and data handling.
His first role as an SEO copywriter for a sports analytics company sharpened that expertise: he researched and produced a wide range of content on data science and sports modelling, then moved into neural-network model reviews, advanced statistics guides, and predictive algorithm analysis.
Today, as a sports analytics specialist and editor, he drives content strategy, evaluates AI tools, and helps readers separate genuinely effective algorithms from marketing noise.
His ability to bridge complex machine-learning concepts and everyday football fandom is what keeps the site readable without dumbing the numbers down.
Expertise
- European football with a focus on top-flight leagues (Premier League, La Liga, Serie A) and international tournaments.
- Hands-on testing of AI predictors and neural-network sports platforms.
- Advanced data analytics research focused on xG (expected goals), xA, PPDA, and other advanced metrics.
- Machine learning in sport: predictive models and algorithm accuracy.
- Bankroll and risk management with a focus on expected value (+EV) models.
- SEO strategy: keyword research and content marketing implementation.
- Content marketing — crafting engaging, data-driven material.
Education
David holds a Bachelor's Degree in Marketing from the Academy of Economic Studies (2016–2019), supplemented with certifications:
- Google Analytics Certificate
- Cambridge C2 Proficiency Certificate
- Machine Learning & AI Foundations Certificate
- Applied Data Science with Python
- SEO That Works 4.0
- Certified Machine Learning & Data Analytics Specialist
About the author
- Expertise
- AI forecasting, football analytics, sports data science, risk management
- Experience
- 9+ years
- Written articles
- 38
- Favourite topics
- Machine-learning algorithms, Premier League, xG modelling, sports neural networks
- Favourite club / metric
- xG (expected goals) & Pep Guardiola's Manchester City
- Other interests
- Python programming, sports psychology, tactical match analysis
Q&A
If you could only eat one dish for every meal for the rest of your life, what would it be?
Diavola pizza.
What movie or TV series never gets old, no matter how many times you have seen it?
Breaking Bad.
What is the first thing you would do if you won the lottery?
Use a third to cover living expenses, a third to help my family, and the last third to build my own ultimate AI football prediction model.