24 de fevereiro de 2025

Um novo modelo para dados esportivos – Acabando com o monopólio (Parte 4)

Nesta série de quatro artigos do blog, vamos nos aprofundar nos desafios impostos pelo monopólio dos dados esportivos. Vamos explorar como as principais ligas, ao venderem direitos exclusivos a únicos provedores, controlam o fluxo de informações, inflacionando os custos e sufocando a inovação. Desde as origens desses monopólios até suas consequências de longo alcance, vamos demonstrar por que é urgentemente necessário um sistema mais justo. Também proporemos um novo modelo que beneficie tanto as ligas quanto as empresas e os torcedores. Por: Dotan Lazar

Yoav Ziv
CRO na LSports

The current monopolistic control of sports data is unsustainable. Dominated by a few major providers, the system stifles competition, limits innovation, and burdens leagues, businesses, and fans. However, a new model can transform the industry by letting leagues control their data and fostering a competitive, innovative market.

While 90% of the world’s leagues don’t have exclusive data agreements, many struggle to monetize their data effectively. They fail to generate significant revenue without resources or infrastructure, leaving them vulnerable to issues like match-fixing and integrity breaches. Underfunded leagues face higher risks of fixed events, undermining the sport’s integrity.

A better approach would make leagues the “asset owners” of their data. Instead of exclusive deals, leagues could collect data directly or through third-party partners and distribute it to media, betting companies, and other stakeholders. This model could operate on a fixed-price or revenue-sharing basis, allowing leagues to maximize income while ensuring data accessibility. For example, betting companies could pay a percentage of revenue generated from using the data, while media outlets pay a fixed fee.

This creates a steady revenue stream, reducing reliance on questionable funding sources and improving sport integrity. Breaking monopolies would foster competition, drive down prices, and improve service quality. Error rates, currently between 1.8% and 3%, could decrease as companies compete to deliver accurate, reliable data.

Even small errors can have significant consequences in betting and media, so innovation and accuracy are critical. Leagues would gain control over their data, enabling them to explore new partnerships and revenue streams. They could invest in better technology and infrastructure, further reducing errors and improving data quality.

Fans would benefit from lower live scores, statistics, and analytics costs, enhancing their engagement with sports. This model would also encourage leagues to innovate. They would need efficient, effective data collection and distribution methods to remain competitive, driving technological advancements across the industry.

In conclusion, the current monopolistic system must be reformed. By adopting a model that empowers leagues, fosters competition, and prioritizes innovation, we can create a fairer, more sustainable future for sports data. It’s time to demand a better system for everyone involved.

Missed Part 1? Read it here.