**Lead**
The Telegraph has released its fantasy football tips for Game Week 7 of the Premier League season, offering managers a data-driven guide to selecting their squads. Rather than relying on gut instinct or popular opinion, the newspaper’s recommendations are built on a foundation of statistical analysis, including expected goals (xG), expected assists (xA) and recent form metrics. For the thousands of UK-based players participating in the Telegraph’s own fantasy football league, these tips represent a scientific approach to a game that has become increasingly reliant on quantitative methods.
**Context**
Fantasy football has evolved far beyond a casual pastime. Over the past decade, the rise of advanced analytics in professional football has trickled down to the amateur level, with managers now using the same metrics that clubs employ to scout players. The Telegraph, a long-standing institution in British sports journalism, has embraced this trend by dedicating a team of analysts to produce weekly tips. Their methodology typically involves scraping data from the previous matchweeks, assessing player availability, fixture difficulty and historical performance against specific opponents. For Game Week 7, the focus is on identifying differentials — players who are not widely owned but have a high probability of scoring points — as well as captaincy choices that maximise expected returns.
The science of fantasy football is not new. Researchers at universities such as the University of Oxford and Imperial College London have published papers on predictive modelling for sports, including fantasy football. The Telegraph’s tips, while not academic in nature, apply similar principles: regression analysis, machine learning algorithms and Monte Carlo simulations are often used behind the scenes to forecast player output. The newspaper does not disclose its exact model, but it is understood to weigh factors such as recent form, opposition defence strength, home advantage and even weather conditions.
**Analise**
Why does this matter? For the millions of fantasy football managers in the UK, the difference between a top 10,000 finish and a mediocre rank often comes down to marginal gains. A single captaincy choice — doubling the points of one player — can swing an entire game week. The Telegraph’s tips provide a systematic way to reduce uncertainty. By relying on data rather than emotion, managers can make decisions that are statistically more likely to succeed. This is particularly important in Game Week 7, which follows an international break. International travel, fatigue and potential injuries add layers of complexity that pure intuition cannot easily handle. Data models can incorporate these variables more consistently than the human brain.
Moreover, the Telegraph’s approach reflects a broader trend in sports journalism: the fusion of traditional reporting with data science. Other outlets, such as the Athletic and Sky Sports, have also invested in analytics teams. However, the Telegraph’s fantasy football tips remain a staple for many because of their accessibility. They translate complex numbers into plain English advice, such as “consider Mohamed Salah as captain due to his high xG per 90 minutes against a defence that concedes many chances.” This bridges the gap between academic rigour and practical application.
**Fontes**
The Telegraph’s fantasy football section (telegraph.co.uk/fantasy-football) provides the primary source for the tips and methodology described. Additional context on the use of expected goals and analytics in football comes from publicly available research by the CIES Football Observatory and the work of football data analysts such as Michael Caley (formerly of StatsBomb). The general trend of data-driven sports journalism is documented in industry reports by the Reuters Institute for the Study of Journalism.
Por Renan Filho · 2026-10-16