Data Sports Group

  Fantasy sports have exploded from a niche hobby to a multi-billion dollar industry engaging millions of passionate fans. This growth has been fuelled by advances in sports data and analytics. As a professional sports writer, I’ve been fascinated to see the transformation. In this post, I’ll explore how fantasy sports data has evolved, the rise of dedicated B2B data providers, and how APIs are powering next-generation experiences. The Origins of Fantasy Data Fantasy sports date back to the 1950s and 1960s when groups of fans organized leagues and calculated scoring by hand from sports pages. It was a tedious, manual process. The first major shift happened in the 1980s with the rise of Rotisserie League Baseball. Founders like Daniel Okrent adapted the format into a more accessible game focused purely on statistics. This sparked an explosion in growth through the 1990s. However, compiling stats was still a major constraint. Most relied on boxes in the next day’s newspaper - ...

  Forget relying on dodgy psychic hotlines for your football intel. In the age of data, predicting the beautiful game is less about crystal balls and more about algorithms powered by DSG's football data API. Buckle up, armchair analysts, because we're about to turn you into Nostradamus with cleats. Imagine this: you're neck-deep in a heated pub debate about who'll dominate the upcoming derby. Armed with DSG's live data feed , you casually drop bombs like "Did you know their star striker's passing accuracy plummets by 17% under pressure?" Cue stunned silence, followed by a grudging "Alright, you got me there, data wizard." Suddenly, you're not just another pint-clutching pundit, you're a data-driven deity, worshipped for your ability to see the future through a haze of spreadsheets and heatmaps. But DSG's football data solutions aren't just for silencing know-it-all uncles. They're about transforming your website into a foo...